Sorting cereal seeds

Abstract

A method of sorting cereal seeds (112) is disclosed. The cereal seeds (112) contain non-colored cereal seeds (114) and seeds containing a blue aleurone (116), or contain colored seeds containing a dark blue aleurone and seeds containing a light blue aleurone. The method comprises: i. supplying a seed stream (120) to a sorting station (122), the sorting station (122) comprising at least one backlight device (130) for backlighting a seed (112) of the seed stream (120) and at least one camera (132) for taking at least one image of the backlighted seed; ii. taking, with the camera (132), at least one image of the backlighted seed of the seed stream (120); iii. automatically identifying, from the image taken in step ii., seeds to be sorted out from the seed stream (120); and iv. automatically ejecting seeds identified to be sorted out from the seed stream (120), wherein the at least one backlight, in the HSL color space, has a H coordinate of H ≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80.

Description

[0001] Method of sorting cereal seeds Technical FieldThe present invention relates to a method of sorting cereal seeds, to a sorting device for sortingcereal seeds and uses of the sorting device. The method and the sorting device may specificallybe used for sorting cereal seeds containing a mixture of (darker) colored and (lighter or) non-colored cereal seeds, such as cereal seeds with a non-colored aleurone and seeds containing ablue aleurone in the field of plant breeding. However, other fields of application comprising the sorting of cereal seeds are also feasible. Background art In the field of plant breeding, such as such as cereal plant breeding, e.g. breeding of wheat,blue aleurone loci and / or genes may be useful color markers for some other genes and / or lociof interest being located on the same chromosome or even on the same chromosome arm as the color marker. Thus, the presence of a blue color in the aleurone of the seed may indicatethe presence of the gene of interest. In general, the closer both genes and / or loci, the more reli-able the presence of the gene of interest is indicated by the blue color as a higher distance gen-erally increases occurrence of recombination and / or breakage. As an example, seeds may con-tain a recessive male sterility gene and / or a locus causing male sterility in plants lacking a re-storer gene, and the gene of interest is a male fertility restorer gene linked to the blue aleuronecolor locus. The blue color may be used to distinguish fertile “blue” seeds containing the bluealeurone locus and indicating the presence of the restorer gene from non-colored ”white” sterileseeds lacking the blue aleurone locus, indicating the absence of the restorer gene. Thus, theseseeds containing a male sterility locus and / or gene and containing a fertility restorer gene linkedto a blue aleurone locus can be used as maintainer seeds to reproduce male-sterile “white”seeds and fertile “blue” seeds as their selfed progeny contains both types of seeds. The sterileseeds may grow into useful female lines for hybrid seed production as they can only set seedafter cross-pollination by a (male) fertile plant. As another example, the blue aleurone locus maybe used in cereal seeds, such as wheat seeds, to identify higher amounts of anthocyanins in theseed, and / or to create new food products that are naturally colored rendering synthetic colorproduct, e.g. in breakfast cereals, superfluous. The colored “blue” seeds may thus need to besorted from non-colored “white” seeds in any production field or seed lot containing blue aleu-rone-containing seeds and “white” seeds.WO 2023 / 088892 A1 describes a method for categorizing / sorting seeds, the method comprisingthe steps of: providing a sample including at least one seed; obtaining a near infrared, NIR,spectrum of at least a subset of the sample; determining presence of an organic colorant in atleast the subset of the sample based on the obtained NIR spectrum; and categorizing / sorting atleast the subset of the sample based on the determination. Based on this, mis-colored whiteseed and blue seed with a fading blue color can be categorized. Further, it is also said to bepossible to distinguish between single blue and double blue seed.WO 2014 / 109993 A2 describes a system and method for separating seed or grain based on op-tical differences in the starch composition. The method for separating seed or grain based onoptical differences in the starch composition includes receiving a seed group comprising a plu-rality of seeds. The method further includes illuminating each seed of the seed group from anillumination source disposed behind the seed such that the seed is back-illuminated. Themethod further includes sorting each seed of the seed group based on the differences in thestarch composition. In some cases, the method includes sorting each seed by separating theseed group into the following groups: waxy seeds and non-waxy seeds.Despite the advantages achieved by known methods and devices, several technical challengesremain. In general, standard separation machines separating colored seeds based on sizeand / or density may not work effectively since the size and / or density of colored seeds are thesame as normal seed. Thus, separation by color may be necessary. However, color separatorsin existing seed processing equipment being used to separate colored seed from normal seedsmay often provide low quality of sorting. The color separator may use an electronic eye for rec-ognizing different colors. Seeds may pass the electronic eye and, in case a seed having a differ-ent color than the desired seed is identified, a sudden burst of air may be activated to push thatseed into a reject bin while the rest of the seeds may pass to another bin. Thus, there is still aneed for improvement of the sorting efficiency of optical separators, specifically with respect tosorting purity and / or sorting yield. In particular, there is still a need for sorting seeds carryingonly one dose (1n) of the BLA locus generally showing only weak coloration, which frequently leads to insufficiently sorting of seeds. Problem to be solvedIt is therefore desirable to provide devices and methods at least partially addressing above-mentioned technical challenges of known devices and methods. Specifically, it is an object ofthe present invention to provide devices and methods, which improve sorting purity and sortingyield in sorting of cereal seeds containing a mixture of cereal seeds having a normal (non-col-ored) or light-colored seed and (darker) colored seed, such as cereal seeds having a normal(non-colored) aleurone and cereal seeds containing a blue aleurone, or disease-infected cerealseeds with another seed color compared to non-disease-infected cereal seeds (such as darkerseed color, a reddish seed color, brown / black / grey spots, etc.), or sorting darker colored seeds(e.g., containing more anthocyanins) from lighter colored seeds (to get more uniformly coloredcereal seeds). Also, in the above-described hybrid system in cereals wherein blue aleurone color may be used to distinguish fertile “blue” seeds containing the blue aleurone locus (indicating the presence ofthe restorer gene) from non-colored ”white” sterile seeds lacking the blue aleurone locus (indi-cating the absence of the restorer gene), it should be noted that the aleurone layer is triploid(3n). As there may be male transmission of the blue aleurone locus, seeds may contain one(1n), two (2n) or three (3n) copies of the blue aleurone (BLA or BA) locus in the aleurone layerthat will respectively result in light blue (1n or 2n) seeds, and dark blue (3n) seeds. Also, a re-peated amplification of a blue seed batch containing 3n blue aleurone seeds (also named diso-mic or double blue seeds) leads to significant reduced proportions of sterile (“white”) and main-tainer (1n or 2n blue) seeds (since 3n BLA seeds only produce (3n) blue seed progeny) andhence to a reduced production of white seeds and maintainer seeds per area. On average, across different varieties, the proportion of white seeds in a harvested seed lot drops from ap- prox.64% to 25% over 3 amplification rounds. To keep the production of useful seeds for hybridproduction and maintenance most effective, the amount of dark blue 3n seeds should be re-duced by means of a specific seed sorting step in which either the darkest seeds of a blue seed fraction are shot out, or alternatively only light blue seeds are shot out and only the light bluefraction is used for seed amplification. Said sorting step can also be used to remove (darker)colored seed from a seed batch containing (darker) colored and non-colored or light-colored seeds. SummaryThis problem is addressed by a method of sorting cereal seeds and by a sorting device for sort-ing cereal seeds with the features of the independent claims. Advantageous embodimentswhich might be realized in an isolated fashion or in any arbitrary combinations are listed in the dependent claims as well as throughout the specification.A first aspect of the present invention is a method of sorting cereal seeds, wherein the cerealseeds contain light-colored cereal seeds and / or non-colored cereal seeds, as will be defined infurther detail below, and colored seeds, specifically seeds containing a blue aleurone, or the ce-real seeds can have been pre-sorted to remove colored from non-colored seeds so that the ce- real seeds at least contain light blue (1n or 2n blue aleurone) colored seeds and dark blue (3n aleurone) colored seeds, and may contain non-colored seeds.The term “sorting” as used herein is a broad term and is to be given its ordinary and customarymeaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a process of differentiation and separation. The sorting may comprise at least two process steps, which, specifically, may be performed in parallel and / or in a timely overlapping fashion, wherein, in a first step, objects maybe differentiated from each other according to one or more sorting criteria, wherein, in a secondstep, the objects may be separated from each other based on the differentiation. Specifically, the differentiation of object may comprise assigning objects into at least two different sorting categories. The separation may be performed based on the sorting categories, wherein objects being assigned to a first sorting category may be physically separated from objects being as- signed to a second sorting category. The sorting of cereal seeds as described herein may beperformed on any seed sorting device allowing adjustable background light color, e.g. on aASM® EUREKA sorter, on a Bühler ® Sortex H sorter, a H series color sorter from AnySort (An-hui Jiexun Optoelectronic Technology Co., Ltd), and / or on 3U Vision ® OPTICA sort models orthe like. The sorting may specifically comprise a sensor-based sorting. Specifically, the differentiation may comprise using one or more sensor devices for sensing the sorting criteria. The sorting may comprise an optical sorting. Thus, as an example, the differentiation of the objects to be sorted may be at least partially performed by optical means. The sorting may comprise differen- tiating the objects to be sorted based on a color and / or at least one color coordinate, as will beoutlined in further detail below, and, thus, may comprise determining at least one color and / or atleast one color coordinate of the objects and assigning the objects into at least two differentsorting categories according to the determined color and / or color coordinate. The sorting may specifically comprise automatically sorting objects to be sorted, in particular without manual ac-tion and / or interaction with a user, such as by using a combination of one or more sensor de-vices for enabling differentiation and one or more controllers for enabling separation, such as byactuation of at least one separation device. A result of the sorting may comprise at least two dis-tinct groups of objects, wherein each object in a specific group may have at least one commonproperty or characteristic with the other objects of this specific group. Specifically, the sortingmay result in a separation of the objects to be sorted into at least two distinct groups, wherein objects in a first group may have a specific color and / or at least one specific color coordinate, wherein objects in a second group may be different from the specific color and / or the at least one specific color coordinate. For example, the sorting may comprise differentiating non-coloredcereal seeds as defined herein from colored cereal seeds, such as cereal seeds containing ablue aleurone and separating the non-colored cereal seeds from the colored cereal seeds, suchas cereals seeds containing a blue aleurone, or differentiating dark blue seeds from light blueseeds (and any remaining non-colored seeds) or differentiating light blue seeds from dark blue seeds (and any remaining non-colored seeds).The term “seed” as used herein is a broad term and is to be given its ordinary and customarymeaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a unit of reproduction of a flower- ing plant, capable of developing into another such plant, i.e. by producing functional pollen or male gametes. As such, the term may specifically refer to a fertile seed. The term may also referto a sterile seed. The term “sterile seed” in connection with the present invention may refer toseeds growing into plants failing or partially failing to produce functional pollen or male gametes(also known as male sterility). This can be due to natural or artificially introduced genetic predis- positions or to human intervention on the plant in the field. Male sterility / fertility in cereals, such as wheat, can be reflected in seed set upon selfing, e.g. by bagging heads to induce self-fertili- zation. Likewise, fertility restoration can also be described in terms of seed set upon crossing a male sterile plant with a plant carrying a functional restorer gene, when compared to seed set resulting from crossing (or selfing) fully fertile plants. A male parent (or pollen parent), is a par-ent plant that provides the male gametes (pollen) for fertilization, while a female parent or seedparent is the plant that provides the female gametes for fertilization, said female plant being the one bearing the (hybrid) seeds. Male sterility can be restored, for example, by introducing a functional restorer gene into the genome of the sterile plant.The term “cereal seed” as used herein is a broad term and is to be given its ordinary and cus-tomary meaning to a person of ordinary skill in the art and is not to be limited to a special orcustomized meaning. The term specifically may refer, without limitation, to a seed of cereal. Specifically, the cereal seed may comprise a grain of cereal. The term “grain”, as used herein,may be equivalent to seeds, and may include grains for sowing and / or planting a crop. The ce-real seed may be a whole grain of cereal. The cereal seed may specifically be a grain of cereal comprising an endosperm, a germ, an aleurone layer, a seed coat and a pericarp. The cerealseed may be a grain of a cereal selected from the group consisting of: corn; rice; wheat; barley;sorghum; millet; oat; rye; triticale. The cereal seed may specifically be a grain of wheat.“Wheat”, as used herein, may refer to plants from the genus Triticum, including but not limited to common / bread wheat (Triticum aestivum or T. aestivum), emmer wheat (T. dicoccum), einkorn wheat (T. monococcum), durum wheat (T. durum), khorasan wheat (T. turanicum), or speltwheat (T. spelta), specifically hexaploid T. aestivum or T. spelta, and tetraploid T. durum, in-cluding wheat referred to as hard or soft wheat (based on endosperm texture), winter or springwheat (based on sowing season), and red or white wheat (based on seed coat color). The terms“cereal seed” and “seed” may be used interchangeably herein.The cereal seeds may contain light-colored cereal seeds and dark-colored cereal seeds, or non-colored cereal seeds and colored seeds.The term “non-colored” as used herein specifically may refer, without limitation, to a natural phe-notype of cereal seeds that have no blue aleurone. The non-colored seeds may specifically beseeds having a natural seed coat color and normal aleurone and normal pericarp color, such aswheat seeds with a white or red seed coat lacking a blue aleurone and having no purple peri-carp (e.g., examples of wheat varieties with white seed color are the varieties Blini (springwheat type) and Heroldo (winter wheat type), and examples of wheat varieties with red / reddishseed color are the varieties Granary (spring wheat type) and Solehio (winter wheat type)). Anatural or normal cereal seed / pericarp / aleurone color as used herein refers to the color of theseed / pericarp / aleurone of the majority of cereal crops grown commercially for producing food,feed or drinks, excluding small / niche market cereal seeds with purple or blue seed color. Thenon-colored seeds may also be referred to as “white” seeds herein, which specifically also re-fers to known red or white wheat seeds based on seed coat color (like hard red winter or softwhite spring wheat), to distinguish from seeds with a blue aleurone or purple pericarp. The non-colored wheat seeds may specifically comprise red seeds. The non-colored seeds may specifi- cally be seeds as obtained in standard cereal, such as wheat, breeding and / or via introgressionfrom plants that lack a blue aleurone, or may be seeds lacking a blue aleurone as used in cur-rent farming practices or current commercial wheat in major markets. The non-colored seedsmay comprise normal wheat seeds, which are generally referred to as white- or red-coloredseeds. The normal color of wheat seed types commercialized may be white seed classes and / or red wheat seed classes, specifically excluding purple or blue wheat seeds. The term “colored” as used herein specifically may refer, without limitation, to seeds having adarker color than the non-colored or normal colored seeds, such as having darker seed color than the non-colored seeds or darker spots on the seed. For example, the colored seeds maycomprise seeds having a blue aleurone and lacking a purple pericarp color. Alternatively or ad-ditionally, the colored seeds may comprise disease-infected seeds, such as seeds having a fun-gal, bacterial or viral infection that changes seed color to a darker colored (seen as darker (darkbrown or black or grey) spots on the seed, overall darker seeds, or a change in color from whiteto red / pink seed color, such as infection by ergot (Claviceps, such as C. purpurea), bunt, smut,smudge, black point, etc., including any secondary disease infections). In one embodiment, dis-ease-infected cereal seeds may refer to seeds with dark brown or black spots on the cerealseeds. Whether seed is colored or darker colored compared to a (non-colored or lighter colored)control seed, as used herein, can be seen by eye or can be measured by videometer, a colorim-eter or spectrophotometer (e.g. by determination of the lightness). In one embodiment of the in-vention, the sorting methods as described herein can be used as a quality control tool to quan- tify the amount of disease-infected (such as ergot-infected) or darker-colored cereal seeds in aseed batch, which can determine if the seed batch meets the requirements of a certain mar-ket / channel, such as if it is acceptable for release as food or feed product, or needs to be de-stroyed or directed to other (such as non-food / non-feed) markets / channels. The colored seedsmay specifically be seeds having a natural seed coat color and a blue aleurone and normal peri- carp color, such as wheat seeds with a white or red seed coat color having a blue aleurone andhaving no purple pericarp. A blue aleurone color may be associated with the presence of antho-cyanins in the aleurone layer of cereal seeds. The blue color of seeds may be genetically con-trolled by a blue aleurone locus, which is involved in the biosynthesis of anthocyanin. Currentstandard commercial wheat seeds may not contain a blue aleurone, but the trait can be intro-duced in wheat by introgressing it from some species of Triticeae, or by adding a blue aleuronelocus to plants lacking it by plant transformation or (targeted) genome editing. Several blue al- eurone loci conferring the blue aleurone trait may have been transferred into wheat from Trit-iceae species plants such as Thinopyrum ponticum, Agropyron elongatum, Triticum boeoti-cum, Triticum monococcum, or Thinopyrum bessarabicum. The seeds containing a blue aleu-rone may also be referred to as “blue” seeds (or BLA seeds) herein. The colored seeds mayspecifically refer to both light colored seeds, such as seeds having a 1n or a 2n BLA locus in thealeurone layer, and dark colored seeds, such as seeds having a 3n BLA locus in the aleuronelayer, as will be outlined in further detail below. In one embodiment, the colored cereal seeds asused herein may also have a purple pericarp and a normal (not blue) aleurone and the non-col-ored cereal seeds as used herein may have a natural seed color such as white or red seedcolor (with a normal (not a purple) pericarp and aleurone (not blue) color). The colored cerealseeds may also have a darker seed color, such as dark red rice seeds, and the non-colored ce-real seeds may have a lighter seed color, such as light red rice seeds, wherein the dark seedscan be separated from the lighter seeds to get a more uniform seed batch. Alternatively, the col-ored seeds might be a sub-fraction of seeds which contains remainings of an undesired part of the seed in processing, such as remainings of the aleurone layer in polished seeds (e.g. rice) or the remainings of the testa from peeled seeds (e.g. peanuts).The term “blue aleurone locus” (or BLA locus) as used herein is a broad term and is to be givenits ordinary and customary meaning to a person of ordinary skill in the art and is not to be lim- ited to a special or customized meaning. The term specifically may refer, without limitation, to the genetic locus causing a blue aleurone phenotype, as can be transferred by introgression inwheat from related species. The seeds containing a blue aleurone are seeds comprising a BLAlocus, specifically wheat seeds comprising a BLA locus, and may be referred to as blue seeds.For example, the cereal seed may comprise wheat seeds. A 2-line male sterility system may beused with a maintainer plant producing white sterile and blue fertile cereal seeds upon selfing.Any regular wheat plant may act as male parent to restore fertility. The BLA locus and a restorergene may be located on a monosomic addition chromosome (42+1 Chr plants) or on a homoe-ologous chromosome pair (42 Chr plants). The BLA locus and the restorer gene may be eitheron the same or different arms of the same chromosome. The aleurone layer may be triploid, such as be being part of the endosperm that is triploid (3n), and as there may be male transmis-sion of the BLA locus, seeds may contain 1 (1n), 2 (2n) or 3 (3n) copies of the BLA locus in thealeurone layer that will respectively result in light blue seeds, blue seeds, or dark blue seeds.For possible embodiments of such a 2-line male sterility system, reference may be made to e.g.Whitford et al., 2013, J. Exp. Botany 64 (18): 5411–5428, and Zhou et al., 2006, CropScience46:250-255, CN100420368, WO 2019 / 043082 A1, WO 2020 / 056259 A1 and WO 2023 / 005883A1. The BLA locus and the restorer gene may preferably be located on the same chromosomearm of a monosomic addition chromosome, or on the same arm of one of the 2 chromosomes ina homoeologous chromosome pair. Thus, these genes may be closely linked, or alternativelythe BLA locus and the restorer gene may be each located on another chromosome arm of thesame addition or homoeologous chromosome. As an example, the restorer gene may be aMS1, MS5, MS9, MS22, MS26, or MS45, specifically depending on what causes the male steril-ity. For example if a mutation or inactivation or deletion of an MS1 gene causes male sterility,then MS1 may be the restorer gene to use, and if mutation or inactivation or deletion of allMS45 genes (on each wheat sub-genome (A, B and D)) causes male sterility, then MS45 maybe the restorer gene to use. Alternatively or additionally, the blue aleurone genes / loci may beone of the genes / loci as described in US 11,390,877 B2, WO 2019 / 043082 A1 or WO2020 / 056259 A1. The blue aleurone locus may be obtainable or obtained, e.g., from Agropyronelongatum, Agropyron trichophorum,Triticum boeoticum, Triticum monococcum, Triticum thaou-dar, Triticum aestivum, or Thinopyrum ponticum or from wheat lines having an introgressed BLAlocus or may be from known seed accessions Sebesta Blue, Blue Sando, Blue Baart, Blue Onas, Blue 1, PBB, or Blue Norco. In one embodiment of the invention, the male-sterile female plants of the invention may com- prise triple homozygous mutations of the MS45 male-fertility polynucleotide in wheat, which mu- tations cause a male sterility phenotype. In one embodiment, such male-sterile plants can be obtained from a 2-line hybrid system in wheat that comprises triple homozygous mutations of aMS45 male-fertility polynucleotide (such as EMS mutations inactivating each MS45-A, MS45-Band MS45-D gene, or mutations inactivating each MS45-A, MS45-B and MS45-D gene as ob-tained by genome editing methods), and a plant restoration donor chromosomal componentcomprising a 4E chromosomal component from Thinopyrum or Agropyron, the 4E chromosomalcomponent comprising: a) a plant polynucleotide that confers a plant seed phenotype (such as seed color, e.g. blue aleurone, P gene, anthocyanin, or Kala 4); and (b) a MS45 male-fertility restoration locus restoring male-fertility in a ms45 male-sterile wheat plant by the 4E chromoso- mal component, wherein expression of the 4E chromosomal component functionally comple- ments the male-sterility phenotype from the triple homozygous MS45 mutations so that the wheat plant is male-fertile. In one embodiment, the plant polynucleotide that confers the plantphenotype (such as seed color) may be located on the same chromosomal arm of the 4E chro-mosomal component as the MS45 male-fertility restoration locus (not separated by a centro- mere). In one embodiment, said MS45 hybrid system and the male-sterile female wheat plant may be as described in WO2020056259.The method comprises the following steps that may be performed in the given order. However,a different order may also be possible. In particular, one, more than one or even all of themethod steps may be performed once or repeatedly. Further, the method steps may be per-formed successively or, alternatively, one or more of the method steps may be performed in atimely overlapping fashion or even in a parallel fashion and / or in a combined fashion. Themethod may further comprise additional method steps that are not listed.The method comprises:i. supplying a seed stream to a sorting station, the sorting station comprising at least onebacklight device for backlighting a seed of the seed stream and at least one camera for taking at least one image of the backlighted seed;ii. taking, with the camera, at least one image of the backlighted seed of the seed stream;iii. automatically identifying, from the image taken in step ii., seeds to be sorted out from theseed stream; andiv. automatically ejecting seeds identified to be sorted out from the seed stream,wherein the at least one backlight, in the HSL color space, has a H coordinate of H ≤ 150 or H ≥310 and a L coordinate of 0.10 ≤ L ≤ 0.80.Specifically, the at least one backlight, in the HSL color space, may have a H coordinate ofH ≤ 150 or H ≥ 310 and a L coordinate of 0.20 ≤ L ≤ 0.80.The term “supplying” as used herein is a broad term and is to be given its ordinary and custom-ary meaning to a person of ordinary skill in the art and is not to be limited to a special or cus- tomized meaning. The term specifically may refer, without limitation, to a process of making available for further processing. The supplying may specifically comprise providing the seed stream to the sorting station.The term “seed stream” as used herein is a broad term and is to be given its ordinary and cus-tomary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a plurality of seeds. The seed stream may comprise a plurality of seeds, wherein the plurality of seeds may be pro- vided to the sorting station in a directional fashion. Additionally or alternatively, the seed stream may comprise a plurality of seeds arranged in a regular fashion. The seed stream may comprisea plurality of seeds, wherein the seeds of the seed stream may be arranged individually in a rowor line. Thus, as an example, the seeds of the seed stream being supplied to the sorting station may comprise a plurality of seed being provided one by one to the sorting station. The term “sorting station” as used herein is a broad term and is to be given its ordinary and cus- tomary meaning to a person of ordinary skill in the art and is not to be limited to a special orcustomized meaning. The term specifically may refer, without limitation, to a device or combina-tion of devices configured for performing at least one sorting function. Specifically, the sorting station may comprise at least one sensor device, such as the camera, configured for differentia- tion of the seeds in the seed stream. The sorting station may further comprise at least one ejec-tor configured for separation of the seeds in the seed stream by ejecting seeds to be sorted outfrom the seed stream. The sensor device and the ejector of the sorting station may be con-nected with each other, e.g. via one more controller, such that, upon differentiation of seeds inthe seed stream using the sensor device, the ejector ejects the respective seeds from the seed stream. The sorting station may further comprise at least one front light device for illuminating the seed stream on a front side. The sorting station may comprise two, four or even more front light devices. The front light device may comprise a white LED.The term “backlight” as used herein is a broad term and is to be given its ordinary and custom-ary meaning to a person of ordinary skill in the art and is not to be limited to a special or cus-tomized meaning. The term specifically may refer, without limitation, to light being provided frombehind. The backlight specifically may be or comprise light present in the background. As used herein, the term “light” may refer, without limitation, to electromagnetic radiation in the visiblelight spectral range. Herein, the term “visible spectral range”, generally, may refer to a spectralrange of 380 nm to 760 nm. The method may comprise using different backlights, such as dif-ferent backlights in different, specifically repeated, sorting steps. In case the method may com-prise more than on backlight, the backlight involved in the same sorting step may have constant light settings.The term “backlight device” as used herein is a broad term and is to be given its ordinary andcustomary meaning to a person of ordinary skill in the art and is not to be limited to a special orcustomized meaning. The term specifically may refer, without limitation, to a device configuredfor generating light in the sense of the above-mentioned definition. The backlight device may specifically comprise at least one light source for generating light. For example, the backlight device may comprise at least one light-emitting diode (LED). The backlighting device may spe- cifically comprise multiple LEDs, such as at least one red LED, at least one green LED and at least one blue LED. The multiple LEDs may form a multicolor white LED configured for emitting light at least in the visible spectral range. The multicolor white LED may be configured for providing different colors in the visible spectral range according to a color mixing from the multi- ple LEDs. The color mixing in the multicolor white LED may be controllable by controlling the multiple LEDs individually. The backlight device may be arranged behind the seed stream in a field of view of the camera and, thus, may provide “backlight”. The colored backlight may be provided directly by the backlight device, specifically by control-ling multiple differently colored LEDs to achieve the respective color of the backlight, e.g. adjust-able RGB LEDs. Alternatively or additionally, the colored backlight may be provided using mon-ochrome light or white light in combination with one or more color filters to achieve the respec- tive color of the backlight. Thus, in this example, the backlight device may additionally comprise the one or more color filters. Alternatively or additionally, a colored background may be used being illuminated by a monochrome or white color backlight device. For example, a coloredbackground plate or sheet or conveyor belt may be arranged behind the seed stream so as toprovide the respective color of the backlight.The term “camera” as used herein is a broad term and is to be given its ordinary and customarymeaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a device having at least one im- aging element configured for recording or capturing spatially resolved one-dimensional, two-di- mensional or even three-dimensional optical data or information. As an example, the camera may comprise at least one camera chip, such as at least one CCD chip and / or at least one CMOS chip configured for recording images. As used herein, without limitation, the term “im- age” specifically may relate to data recorded by using a camera, such as a plurality of electronic readings from the imaging device, such as the pixels of the camera chip. The camera, besides the at least one camera chip or imaging chip, may comprise further ele- ments, such as one or more optical elements, e.g. one or more lenses. As an example, the camera may be a fix-focus camera, having at least one lens which is fixedly adjusted with re- spect to the camera. Alternatively, however, the camera may also comprise one or more varia- ble lenses which may be adjusted, automatically or manually. The camera specifically may be a color camera. Thus, such as for each pixel, color informationmay be provided or generated, such as color coordinates for three colors, e.g. H (hue), S (satu-ration), L (lightness) and / or R, G, B. A larger number of color values is also feasible, such asfour colors for each pixel, for example R, G, G, B. Color cameras are generally known to theskilled person. Thus, as an example, each pixel of the camera chip may have three or more dif-ferent color sensors, such as color recording pixels like one pixel for red (R), one pixel for green (G) and one pixel for blue (B). For each of the pixels, such as for R, G, B, values may be rec- orded by the pixels, such as digital values in the range of 0 to 255, depending on the intensity of the respective color. Instead of using color triples such as H, S, L and / or R, G, B, as an exam- ple, quadruples may be used, such as R, G, G, B or C, M, Y, K or the like. The color sensitivities of the pixels may be generated by color filters or by appropriate intrinsic sensitivities of the sen- sor elements used in the camera pixels. These techniques are generally known to the skilled person.The term “taking at least one image” as used herein is a broad term and is to be given its ordi-nary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to one or more of imaging, image recording, image acquisition, image capturing. The term “taking at least one image” may comprise capturing a single image and / or a plurality of images such as a se- quence of images. For example, the taking of the image may comprise recording continuously a sequence of images such as a video or a movie. The taking of the at least one image may be initiated automatically, e.g. once the presence of the seed stream within a field of view and / or within a predetermined sector of the field of view of the camera is automatically detected. These automatic image acquisition techniques are known e.g. in the field of automatic barcode read- ers, such as from automatic barcode reading apps. The taking of the images may take place, as an example, by acquiring a stream or “life stream” of images with the camera, wherein one or more of the images, specifically automatically, are stored and used as the at least one image of the backlighted seed. The image acquisition may be supported by a controller, such as by atleast one processor of the controller, and a storing of the images for image processing and / orevaluation may take place in a data storage device of the controller.As outlined above, from the image taken in step ii., the seeds to be sorted out are automatically identified and the seeds identified to be sorted out from the seed stream are automaticallyejected. The term “automatically” as used herein is a broad term and is to be given its ordinaryand customary meaning to a person of ordinary skill in the art and is not to be limited to a spe- cial or customized meaning. The term specifically may refer, without limitation, to a process which is performed completely by means of at least one computing unit, in particular withoutmanual action and / or interaction with a user. The term “automatically” may specifically refer toany process which is performed by means of a controller. The term “identifying” as used herein is a broad term and is to be given its ordinary and custom- ary meaning to a person of ordinary skill in the art and is not to be limited to a special or cus- tomized meaning. The term specifically may refer, without limitation, to a process of recognizingone or more features in an image. The identifying may specifically comprise at least one imageprocessing step for determining seeds to be sorted out in the image. For example, the identify- ing may comprise at least one image processing step for identifying seeds in the image. The identifying may further comprise at least one image processing step for determining if the seeds identified in the image are seeds to be sorted out. Optionally, the identifying may further com- prise at least one object detection step, specifically at least one moving object detection step,such as for estimating a motion of the seeds in the seed stream, e.g. for estimating a motion ofthe seeds to be sorted out in the seed stream. The term “seed to be sorted out” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a spe- cial or customized meaning. The term specifically may refer, without limitation, to a seed of theseed stream which is to be separated from the other seeds of the seed stream. The seed to besorted out may be defined previously to be separated from the other seeds of the seed stream,e.g. by defining a specific phenotype of a seed which is to be separated from other seeds of theseed stream differing from the specific phenotype. For example, the seeds to be sorted out fromthe seed stream may specifically comprise the (darker) colored seeds, such as seeds contain-ing a blue aleurone. The term “ejecting” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a process of removing an object from a group of objects. Specifically, the ejecting may comprise removing the seeds to be sorted out from the seed stream. The ejecting may comprise removing the seeds to be sorted out by means of at least one of a mechanical device and a pneumatic device. For example, apneumatic ejector may be configured for ejecting the seed to be sorted out from the seedstream by using compressed air, such as by using compressed air directed via nozzles to sepa-rate the seed to be sorted out from the seed stream. By ejecting the seeds to be sorted out fromthe seed stream, the seeds in the seed stream may be separated into a first group of seed com-prising the seeds to be sorted out and a second group of seeds comprising the non-ejected seeds of the seed stream. As outlined above, the at least one backlight, in the HSL color space, has a H coordinate of H ≤150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80. The term “color space” as used herein isa broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to an arbitrary coordinate system by which a color of an object, such as a color of a seed or a color of the backlight, may be characterized, such as mathematically or physically. Various color coordinate systems are generally known to the skilled person, such as color coordinate systems defined by the CIE (Commission internationale de l'éclairage). Color coordinate systems other than those defined by the CIE are also feasible. The color coordi- nates, in their entirety, may span or define the color space, such as by defining three or four ba- sis vectors. Thus, when the camera captures an image of an object, a value for each color coor-dinate is generated by the camera for each pixel. As an example, the camera chip may containcolor sensors recording values for each color, such as triples like HSL and / or RGB (Red GreenBlue) and / or L*a*b or quadruples like CMYK (cyan, magenta, yellow, key), wherein the valuesare dependent on the sensitivity of the camera chip. The term “color coordinate” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to the coordinate of an arbitrary color coordinate system used for describing a color using coordinates. Several colorcoordinate systems are generally known to the skilled person and may also be used in the con-text of the present invention. Thus, as an example, a colorimetric coordinate system or a coordi- nate system may be used which is based on the human perception, such as the CIE 1964 color space, the Munsell color system or other coordinate systems, such as H, S, L and / or R, G, B and / or L, a, b. The term “HSL color space” as used herein is a broad term and is to be given its ordinary andcustomary meaning to a person of ordinary skill in the art and is not to be limited to a special orcustomized meaning. The term specifically may refer, without limitation, to a cylindrical-coordi-nate representation of points in an RGB color model. Specifically, the HSL color space may bedefined by the color coordinates hue (H), saturation (S) and lightness (L). As used herein, theterm “hue” may refer, without limitation to a color coordinate describing an angle around a cen-tral vertical axis of the color cylinder of the HSL color space. The hue may specifically be an an-gle from 0 to 360, wherein H=0=360 defines a red color, wherein H=30 defines an orange color, wherein H=60 defines a yellow color, wherein H=90 defines a yellow-green color, wherein H=120 defines a green color, wherein H=150 defines a green-cyan color, wherein H=180 de- fines a cyan color, wherein H=210 defines a cyan-blue color, wherein H=240 defines a blue color, wherein H=270 defines blue-magenta color, wherein H=300 defines a magenta color andwherein H=330 defines a magenta-red color. As used herein, the term “saturation” may refer,without limitation to a color coordinate describing a distance from a central vertical axis of thecolor cylinder of the HSL color space. The saturation may be defined in relative terms, specifi- cally from 0 to 1, and / or in absolute terms on a scale from 0 to 255, wherein full saturation in rel-ative terms of 1 corresponds to an absolute value of 255. The saturation may describe a ratio ofcolorfulness to brightness of a color. Full saturation may be described by the value 1, or alterna- tively by the value 255, and zero saturation may be described by the value 0. The saturationmay comprise a percentage from 0% to 100%, equivalent to a scale from 0 to 1, indicating abalance of a pure color and white. For example, with a hue of pure green (H=120), a saturationof 100% may be composed of only green light, specifically without red or blue light. Thus,changing the saturation on a primary color up and down the percentage range may be equiva- lent to increasing or decreasing the other two primary colors in equal amounts. A hue of pure green (H=120) with a saturation of 50% may indicate that the red and blue colors are increased by 50% of their value each. As used herein, the term “lightness” may refer, without limitation toa color coordinate describing a distance along a central vertical axis of the color cylinder of theHSL color space. The lightness may be defined in relative terms, specifically from 0 to 1, and / orin absolute terms on a scale from 0 to 255, wherein full lightness in relative terms of 1 corre-spond to an absolute value of 255. The lightness may describe a brightness of a color relative tothe brightness of a similarly illuminated white. A full lightness value of 1 may correspond towhite, wherein a lightness value of 0 may correspond to black. Unless indicated to the contrary,the HSL values herein may be described on a hue scale with 0 ≤ H < 360, on a relative light-ness scale with 0 ≤ L ≤ 1 and on a relative saturation scale with 0 ≤ S ≤ 1. Thus, S and L valuesgiven having a value in the range of 0 to 1 or given in % are always on the relative scale, whereas other values, specifically integer values above 1, are always on the absolute scale from 0 to 255 for S and L or from 0 to 260 for H.Without narrowing the scope of the invention, the invention will be specifically described with re-spect to the HSL color space. It shall be noted, however, that using other color spaces, such asthose named above as well as further color spaces, is also feasible. For example, colors in theRGB color space, wherein R, G, B ∈ [0, 1], may be transformed into colors in the HSL colorspace according to the following equations: 0, ^^ ^ = ^^, ,^^ ^ = ^^,^, wherein ^ = max(^, ^, ^) and ^ = min(^, ^, ^), wherein S, L ∈ [0, 1] in equations (2) and (3).Similarly, colors in the HSL color space, wherein H∈ [0, 360) and S, L ∈ [0, 1], may be trans-formed into colors in the RGB color space according to the following equations:^ ,^´,^ ,,^ ,(^, ^, ^) = (^^ + ^, ^^ + ^, ^^ + ^) (9).Thus, any color or color coordinate given in the following in the HSL color space may be equally described by a color or color coordinate in the RGB color space and / or any other color space, orvice versa. For example, color converters on the World Wide Web may also be used for con-verting color from one color space to another, such as convertacolor.com or, e.g. a color con-verter for RGB to HSL conversion on the world wide web at www.w3schools.com / colors / col- ors_hsl.asp, a color converter for RGB to HSL conversion on the world wide web atwww.rapidtables.com / convert / color / rgb-to-hsl.html and / or a color converter for HSL to RGB con-version on the world wide web at www.rapidtables.com / convert / color / hsl-to-rgb.html. The at least one backlight, in the HSL color space, may specifically have a H coordinate in at least one range selected from the group consisting of:- 0 ≤ H < 25 or H ≥ 310, specifically except a range of 332 ≤ H ≤ 338;- 70 ≤ H ≤ 150;- 25 ≤ H ≤ 70.Specifically, the H coordinate in the range 0 ≤ H < 25 or H ≥ 310 may comprise red backlight.The H coordinate in the range 70 ≤ H ≤ 150 may comprise green backlight. The H coordinate inthe range 25 ≤ H ≤ 70 may comprise yellow backlight.The at least one backlight, in the HSL color space, may have a S coordinate of 0.25 ≤ S ≤ 1.0, specifically of 0.5 ≤ S ≤ 1.0, more specifically of 0.75 ≤ S 1.0. The at least one backlight, in the HSL color space, may have a H coordinate in the range of0 ≤ H ≤ 20, a S coordinate in the range of 0.3 ≤ S ≤ 1.0 and a L coordinate in the range of0.28 ≤ L ≤ 0.78. Alternatively or additionally, the at least one backlight, in the HSL color space,may have a H coordinate in the range of 20 ≤ H ≤ 25, a S coordinate in the range of0.3 ≤ S ≤ 1.0 and a L coordinate in the range of 0.36 ≤ L ≤ 0.78. Alternatively or additionally, theat least one backlight, in the HSL color space, may have a H coordinate in the range of25 ≤ H ≤ 45, a S coordinate in the range of 0.3 ≤ S ≤ 1.0 and a L coordinate in the range of0.63 ≤ L ≤ 0.78. Alternatively or additionally, the at least one backlight, in the HSL color space,may have a H coordinate in the range of 45 ≤ H ≤ 50, a S coordinate in the range of0.65 ≤ S ≤ 1.0 and a L coordinate in the range of 0.56 ≤ L ≤ 0.72. Alternatively or additionally,the at least one backlight, in the HSL color space, may have a H coordinate in the range of50 ≤ H ≤ 55, a S coordinate in the range of 0.6 ≤ S ≤ 1.0 and a L coordinate in the range of0.44 ≤ L ≤ 0.72. Alternatively or additionally, the at least one backlight, in the HSL color space,may have a H coordinate in the range of 55 ≤ H ≤ 60, a S coordinate in the range of0.6 ≤ S ≤ 1.0 and a L coordinate in the range of 0.35 ≤ L ≤ 0.56. Alternatively or additionally, theat least one backlight, in the HSL color space, may have a H coordinate in the range of60 ≤ H ≤ 70, a S coordinate in the range of 0.6 ≤ S ≤ 1.0 and a L coordinate in the range of0.35 ≤ L ≤ 0.63. Alternatively or additionally, the at least one backlight, in the HSL color space,may have a H coordinate in the range of 70 ≤ H ≤ 85, a S coordinate in the range of0.6 ≤ S ≤ 1.0 and a L coordinate in the range of 0.44 ≤ L ≤ 0.50. Alternatively or additionally, theat least one backlight, in the HSL color space, may have a H coordinate in the range of85 ≤ H ≤ 100, a S coordinate in the range of 0.6 ≤ S ≤ 1.0 and a L coordinate in the range of0.28 ≤ L ≤ 0.63. Alternatively or additionally, the at least one backlight, in the HSL color space,may have a H coordinate in the range of 100 ≤ H ≤ 105, a S coordinate in the range of0.3 ≤ S ≤ 1.0 and a L coordinate in the range of 0.28 ≤ L ≤ 0.55. Alternatively or additionally, theat least one backlight, in the HSL color space, may have a H coordinate in the range of105 ≤ H ≤ 125, a S coordinate in the range of 0.3 ≤ S ≤ 1.0 and a L coordinate in the range of0.28 ≤ L ≤ 0.50. Alternatively or additionally, the at least one backlight, in the HSL color space,may have a H coordinate in the range of 125 ≤ H ≤ 150, a S coordinate in the range of0.3 ≤ S ≤ 1.0 and a L coordinate in the range of 0.28 ≤ L ≤ 0.50. Alternatively or additionally, theat least one backlight, in the HSL color space, may have a H coordinate in the range of310 ≤ H ≤ 332, a S coordinate in the range of 0.5 ≤ S ≤ 1.0 and a L coordinate in the range of0.13 ≤ L ≤ 0.45. Alternatively or additionally, the at least one backlight, in the HSL color space,may have a H coordinate in the range of 338 ≤ H ≤ 350, a S coordinate in the range of0.8 ≤ S ≤ 1.0 and a L coordinate in the range of 0.35 ≤ L ≤ 0.50. Alternatively or additionally, theat least one backlight, in the HSL color space, may have a H coordinate in the range of338 ≤ H ≤ 350, a S coordinate in the range of 0.3 ≤ S ≤ 1.0 and a L coordinate in the range of0.55 ≤ L ≤ 0.78. Alternatively or additionally, the at least one backlight, in the HSL color space,may have a H coordinate in the range of 350 ≤ H ≤ 360, a S coordinate in the range of0.5 ≤ S ≤ 1.0 and a L coordinate in the range of 0.28 ≤ L ≤ 0.78.The at least one backlight, in the HSL color space, may have a S coordinate of 0.25 ≤ S ≤ 1 anda H coordinate of 25 ≤ H ≤ 70. Thus, for yellow backlight, the saturation of the backlight may bein the range of 0.25 ≤ S ≤ 1. Further, the at least one backlight, in the HSL color space, mayhave a L coordinate of 0.35 ≤ L ≤ 0.78. The at least one backlight, in the HSL color space, mayhave a H coordinate of 45 ≤ H ≤ 50, a S coordinate of 0.65 ≤ S ≤ 1 and a L coordinate of0.55 ≤ L ≤ 0.65. For example, the at least one backlight, in the HSL color space, may have a Hcoordinate of 47, a S coordinate of 1.0 and a L coordinate of 0.59. This specific yellow colormay correspond to a RGB color of (R,G,B)=(255 / 210 / 46). These specific yellow colors mayachieve best purity and lower product yield for light seed lots and very good purity and goodproduct yield for dark seed lots compared to the other backlight colors, as will be outlined in fur-ther detail below. Additionally or alternatively, the at least one backlight, in the HSL color space, may have a S co- ordinate of 0.33 ≤ S ≤ 1.0 and a H coordinate of 70 ≤ H ≤ 150. Thus, for green backlight, thesaturation of the backlight may be in the range of 0.33 ≤ S ≤ 1.0. Further, the at least one back-light, in the HSL color space, may have a L coordinate of 0.28 ≤ L ≤ 0.63. The at least onebacklight, in the HSL color space, may have a H coordinate of 109 ≤ H ≤ 113, a S coordinate of0.3 ≤ S ≤ 1.0 and a L coordinate of 0.45 ≤ L ≤ 0.50. For example, the at least one backlight, inthe HSL color space, may have a H coordinate of 111, a S coordinate of 1.0 and a L coordinateof 0.48. This specific green color may correspond to a RGB color of (R,G,B)=(37,245,0). Alter- natively or additionally, the at least one backlight, in the HSL color space, may have a H coordi-nate of 101, a S coordinate of 1.0 and a L coordinate of 0.45. This specific green color may cor-respond to a RGB color of (R,G,B)=(73,230,0). These specific green backlights may achievevery good purity and lower product yield compared to the other backlight colors, as will be out-lined in further detail below. Alternatively or additionally, the at least one backlight, in the HSLcolor space, may have a H coordinate of 69 ≤ H ≤ 73, a S coordinate of 0.6 ≤ S ≤ 1.0 and a Lcoordinate of 0.45 ≤ L ≤ 0.50. For example, the at least one backlight, in the HSL color space,may have a H coordinate of 71, a S coordinate of 1.0 and a L coordinate of 0.48. This specificgreen color may correspond to a RGB color of (R,G,B)=(78,245,0). These specific green back-lights may achieve the best overall purity and low product yield compared to the other backlightcolors, as will be outlined in further detail below. Additionally or alternatively, the at least one backlight, in the HSL color space, may have a S co- ordinate of 0.40 ≤ S ≤ 1.0 and a H coordinate of 25 ≤ H or H ≥ 310. Thus, for red backlight, thesaturation of the backlight may be in the range of 0.40 ≤ S ≤ 1.0. Further, the at least one back-light, in the HSL color space, may have a L coordinate of 0.13 ≤ L ≤ 0.78. The at least onebacklight, in the HSL color space, may have a H coordinate of 338 ≤ H ≤ 342, a S coordinate of0.3 ≤ S ≤ 1.0 and a L coordinate of 0.65 ≤ L ≤ 0.70. For example, the at least one backlight, inthe HSL color space, has a H coordinate of 340, a S coordinate of 0.75 and a L coordinate of0.68. This specific red backlight may correspond to a RGB color of (R,G,B)=(234 / 108 / 150). Al- ternatively or additionally, the at least one backlight, in the HSL color space, may have a H co-ordinate of 340, a S coordinate of 0.78 and a L coordinate of 0.68. This specific red color maycorrespond to a RGB color of (R,G,B)=(255,87,143). Alternatively or additionally, the at least one backlight, in the HSL color space, may have a H coordinate of 340, a S coordinate of 0.71 and a L coordinate of 0.68. This specific red color may correspond to a RGB color of (R,G,B)=(231,111,151). Alternatively or additionally, the at least one backlight, in the HSL colorspace, may have a H coordinate of 340, a S coordinate of 0.71 and a L coordinate of 0.68. Thisspecific red color may correspond to a RGB color of (R,G,B)=(231,111,151). Alternatively or ad- ditionally, the at least one backlight, in the HSL color space, may have a H coordinate of 0, a Scoordinate of 1.0 and a L coordinate of 0.43. This specific red color may correspond to a RGBcolor of (R,G,B)=(219,0,0). These specific red backlights may achieve good purity and highproduct yield, as will be outlined in further detail below. In one embodiment of this invention, for the low L or low L+S methods described herein (toshoot out darker colored, such as dark blue, seeds), the backlights in the HSL color space asdescribed herein may be used, but also a white LED backlight or a backlight with an L coordi- nate of L = 255 (white). Hence, whenever a reference is made to a backlight in the low L / light- ness method or the low L+S method as described herein, such a white LED backlight or a back- light with an L coordinate of L = 255 (white) can be used as alternative backlight. As outlined above, step iii. comprises automatically identifying, from the image taken in step ii., seeds to be sorted out from the seed stream. In step iii., seeds to be sorted out from the seed stream may be identified by identifying, in the image, objects cumulatively fulfilling the following conditions:- the objects have predefined color coordinates, specifically color coordinates in a prede-fined range in the HSL color space, and- the objects have one or more of a predefined area, a predefined size, a predefined diame-ter, a predefined equivalent diameter and a predefined shape. Specifically, the identification of the seeds to be sorted out may comprise determining color co- ordinates and an area of the objects in the image, wherein- the objects are determined to have the predefined color coordinates if the determinedcolor coordinates are within a predefined range in the HSL color space; and- the objects are determined to have the predefined area if the determined area exceeds anarea threshold. The predefined range, in the HSL color space, may have a H coordinate from 0 to 85, specifi- cally from 5 to 65 and / or from 19 to 79, a S coordinate from 15 to 85, specifically from 18 to 82 and / or from 19 to 83, a L coordinate from 60 to 150, specifically from 91 to 141 and / or from 66to 130, wherein the area threshold may be in the range of 200 to 1500 such as 400 to 1000 or500 to 1000 pixels, specifically in the range of 600 to 850 pixels, more specifically in the rangeof 650 to 700, most specifically is 700 pixels (generally, for smaller seeds the pixel size is bestreduced so as to ensure that a relevant area is covered). For example, objects in the imagehaving a H coordinate in the range of 19 to 79, a S coordinate in the range of 19 to 83 and a L coordinate in the range of 66 to 130 may be identified as seeds to be sorted out from the seedstream in case the respective object may have a size of more than 700 pixels. Alternatively oradditionally, objects in the image having a H coordinate in the range of 5 to 65, a S coordinatein the range of 18 to 82 and a L coordinate in the range of 91 to 141 may be identified as seedsto be sorted out from the seed stream in case the respective object may have a size of morethan 700 pixels. The HSL coordinates may be given on an absolute scale from 0 to 255 for L orS values, which can be also transformed into a relative scale from 0 to 1, as will be apparent tothe skilled person, and on an absolute scale from 0 to 360 for H value.Alternatively or additionally, the identification of the seeds to be sorted out may comprise deter-mining at least one recognition parameter comprising weighting the color coordinates with thearea of the objects in the image, specifically by using a product of the color coordinates and thearea of the objects in the image. Thus, in case the recognition parameter exceeds a certainthreshold, the object in the image may be identified as seeds to be sorted out from the seed stream. In one embodiment, the method of the invention may comprise the determination of the objectsettings (as provided by the sorting device) for the darkest colored seed lot available, and thedetermination of the object settings (as provided by the sorting device) for the lightest coloredseed lot available. Both of these object settings are being combined as 2 different rules into onesorting protocol and tested against the “white seeds” of the seedlots. The settings of L min ofthe light blue rule might be raised and / or the pixel size of both rules might be adapted to ensureno (or very limited) shoot out of white seeds and an effective shoot out of all blue seeds fromany blue / white mixture of seeds. For example, this method can be performed on a batch of seed containing dark and light blue aleurone seeds and non-colored “white” seeds, with the same protocol of sorting out objects in the image having (1) a H coordinate in the range of 5 to 65, a S coordinate in the range of 18 to 82 and a L coordinate in the range of 88 to 145 and a size of more than 700 pixels (for sorting-out light blue seeds) and objects in the image having (2) a H coordinate in the range of 19-79, a S coordinate in the range of 19-83 and a L coordinate in the range of 62 to 130 and a size of more than 700 pixels (for dark blue seeds), preferably using anHSL backlight setting with a Hue value of 340, 71 or 0, such as any of the HSL backlight set-tings of : H340 / S192 / L172, H71 / S255 / L123, or H0 / S255 / L110. In one embodiment of thismethod, said image has a H coordinate in (1) and (2) comprising the range of 354≤H≤45 (e.g.,the entire Hue range, or from 354≤H to H≤45. These two object specifications (1) and (2) can be combined to shoot out light blue (LB) seeds and dark blue (DB) seeds (this is called the LB_DB or DB_LB Shout Out method). The method can be performed once or can be repeatedseveral times, such as repeated 1-3 times (hence, doing the sorting for 2-4 times in total), e.g.,to maximize non-colored seed purity. The method may specifically be a continuous method. The term “continuous” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically mayrefer, without limitation, to a property of a process of being uninterrupted in time. Specifically,the continuous method of sorting cereal seeds may comprise performing the methods steps re-peatedly and at least partially overlapping in time. In step i., a continuous seed stream may be supplied to the sorting station. In step ii., a continuous stream of images may be taken of the seed stream. In step iii., the stream of images may be continuously evaluated for continuously identifying seed to be sorted out from the seed stream. In the method, a batch of seeds may be provided. The term “batch” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer,without limitation, to an assembly of jointly produced objects or an assembly of objects pro-duced at different times and / or places that were mixed. Specifically, the batch of seeds maycomprise a plurality of seed which were jointly produced, specifically with respect to at least one of production place and production time. The batch of seeds may be subjected to method steps i.-iv. repeatedly, specifically at least twice. In each repetition, the batch may be diminished bythe seeds ejected in step iv. of the previous run. Thus, by repeating performing method steps i.-iv. on the batch of seeds, the purity of seeds passing the sorting station may be enhanced. The method of the current invention may further comprise at least one backlight identification step, specifically at least one backlight identification step preceding step i.. The backlight identi-fication step may comprise identifying the at least one backlight to be used for sorting. Thus, inthe backlight identification step, the at least one backlight used for sorting in steps i. to iv. may be determined. The backlight identification step may comprise a plurality of sortings with a plu- rality of backlights, specifically of different backlights. Each sorting may comprise using an ali-quot of the seeds to be sorted. The at least one backlight may be determined via at least onequality control step. The quality control step may comprise evaluating a purity of the sortingacross the plurality of backlights, and optionally further considering a product yield of the sortedseeds by weighing the corresponding aliquot fractions. Alternatively, the quality control stepmay comprise evaluating a purity of the sorting and an amount of losses of desired seeds of thesorting across the plurality of backlights. This method can be advantageously used to further im-prove sorting efficiency for a large-scale seed production using the specific backlight (within theHSL / RGB ranges as provided herein) that is best suited for that specific seed production. The method may specifically comprise performing steps i. to iv. with at least one first backlight, the first backlight, in the HSL color space, having a H coordinate of H ≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80. The method may further comprise repeating steps i. to iv. usingone of an ejected fraction of seeds or a retained fraction of seeds with either said first backlightor with at least one second backlight, the second backlight, in the HSL color space, having a Hcoordinate of H ≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80. The second backlightmay be different from the first backlight. Thus, for example, the method may comprise at leasttwo consecutive sorting rounds, wherein a first sorting round may comprise using the first back- light and the second sorting round may comprise using the second backlight, the second sorting round being performed using the ejected fraction of seeds or the retained fraction of seeds. Fur- ther, a third or even more sorting rounds may be performed with the other of the ejected fraction of seeds or the retained fraction of seeds, the third round of sorting may comprise using the same first backlight or another further backlight as will be outlined in further detail below.The first backlight may be used for a first purpose of sorting cereal seeds. The first purpose ofsorting cereal seeds may comprise at least one purpose selected from the group consisting of: maximize yield of non-colored cereal seeds; maximize yield of (darker) colored cereal seeds; maximize purity of non-colored or lighter colored cereal seeds, specifically by removing of impu-rities, such as (darker) colored seeds, weed seeds, disease-infected seeds, fungal sclerotiaformed on the ears (such as ergot fruiting bodies) and / or other plant parts; maximize purity of(darker) colored cereal seeds; reduce number of (darker) colored seeds in non-colored or lighter colored seeds; reduce number of lighter colored or non-colored seeds in (darker) colored seeds;maximize purity of non-colored seeds while reducing losses of non-colored seed; maximize pu-rity of colored seeds while reducing losses of colored seed; or any combinations thereof.The second backlight may be used for a second purpose of sorting cereal seeds. The secondpurpose of sorting cereal seeds may comprise at least one purpose selected from the group consisting of: maximize yield of non-colored or lighter colored cereal seeds; maximize yield of (darker) colored cereal seeds; maximize purity of non-colored or lighter colored cereal seeds; maximize purity of (darker) colored cereal seeds; reduce number of (darker) colored seeds in non-colored or lighter colored seeds; reduce number of non-colored or lighter colored seeds in (darker) colored seeds; maximize purity of non-colored seeds while reducing losses of non-col- ored seed; maximize purity of colored seeds while reducing losses of colored seed; or any com- binations thereof.The first backlight may be used for a first purpose of sorting cereal seeds with a blue aleuroneor sorting seeds lacking a blue aleurone. The first purpose of sorting cereal seeds may com-prise at least one purpose selected from the group consisting of: maximize yield of non-coloredcereal seeds lacking a blue aleurone; maximize yield of colored cereal seeds with a blue aleu-rone; maximize purity of non-colored cereal seeds lacking a blue aleurone, specifically by re-moving of impurities, such as colored seeds with a blue aleurone, weed seeds, disease-infectedseeds and / or other plant parts; maximize purity of colored cereal seeds with a blue aleurone;reduce number of colored seeds with a blue aleurone in non-colored seeds lacking a blue aleu-rone; reduce number of non-colored seeds lacking a blue aleurone in colored seeds with a bluealeurone; maximize purity of non-colored seeds while reducing losses of non-colored seed;maximize purity of blue aleurone seeds while reducing losses of blue aleurone seed; or anycombinations thereof.The second backlight may be used for a second purpose of sorting cereal seeds with a blue al-eurone or sorting seeds lacking a blue aleurone. The second purpose of sorting cereal seedsmay comprise at least one purpose selected from the group consisting of: maximize yield ofnon-colored cereal seeds lacking a blue aleurone; maximize yield of colored cereal seeds with ablue aleurone; maximize purity of non-colored cereal seeds lacking a blue aleurone, specificallyby removing of impurities, such as colored seeds with a blue aleurone, weed seeds, disease-infected seeds and / or other plant parts; maximize purity of colored cereal seeds with a blue al-eurone; reduce number of colored seeds with a blue aleurone in non-colored seeds lacking ablue aleurone; reduce number of non-colored seeds lacking a blue aleurone in colored seeds with a blue aleurone; maximize purity of non-colored seeds while reducing losses of non-col- ored seed, maximize purity of colored seeds while reducing losses of colored seed; or any com- binations thereof. Specifically, the second purpose of sorting cereal seeds may be different from a first purpose of sorting cereal seeds. A repetition of steps i. to iv. using one of the ejected fraction of seeds or the retained fraction of seeds may comprise using a different sorting protocol compared to an initial sorting in step iii..The sorting protocol may define a parameter according to which the seed to be sorted out isidentified in the image. Thus, as an example, in step iii., seeds to be sorted out from the seed stream may be identified by identifying, in the image, objects having color coordinates of a pre- defined sorting protocol, specifically color coordinates in a predefined range in the HSL color space. This can be used to sort out dark and light colored seeds from non-colored seeds, such as sort out (dark and light) blue aleurone seeds from non-colored seeds, or to sort out dark col- ored seeds from light colored or non-colored seeds, such as sort out 3n dark blue aleuroneseeds from light blue aleurone seed or non-colored seeds, sort out light colored seeds fromdark colored and non-colored seeds, such as sort out light blue aleurone seeds from dark bluealeurone and non-colored seeds. In the following, HSL object settings (for seeds to be shot-out)are provided on an absolute scale but can equivalently also be transformed to a relative scale, as outlined above. The predefined sorting protocol may comprise at least one protocol with HSLobject settings for the seeds to be ejected / shot-out selected from the group consisting of : a Hcoordinate comprising the range of 354≤H≤45 or the range of H ≥ 354 and H ≤ 54, an S coordi-nate in the range of Smin≤S≤Smax wherein the Smin is 0 or 0≤Smin≤30, and a L coordinate in therange of Lmin≤L≤Lmax wherein the Lmin is 0 or 0≤Lmin≤30, and wherein the Lmax and Smax are set so as to get a certain % of dark colored seeds shot-out, such as an Lmaxof 78≤Lmax≤127, and an Smaxof 60≤Smax≤99; a H coordinate comprising the range of 354≤H≤45 or in the range ofH ≥ 345 and H ≤ 79, an S coordinate in the range of Smin≤S≤Smax wherein the Smin is 0 or 0≤Smin≤30, and a L coordinate in the range of Lmin≤L≤Lmax wherein the Lmin is 0 or 0≤Lmin≤30, and wherein the Lmaxand Smaxare set so as to get a certain % of dark colored seeds shot-out, such as an Lmaxof 78≤Lmax≤127, and an Smaxof 60≤Smax≤99; a H coordinate comprising the range of 354≤H≤45 or in the range of H ≥ 345 and H ≤ 45, a S coordinate in the range of Smin≤ S ≤ 98, wherein Smin is in the range of 55 ≤ Smin ≤ 62 and a L coordinate in the range of Lmin ≤ L ≤ 140,wherein Lmin is in the range of 96 ≤ Lmin ≤ 102; a H coordinate comprising the range of 354≤H≤45 or in the range of H ≥ 354 and H ≤ 54, a S coordinate in the range of Smin ≤ S ≤ 98, whereinSminis in the range of 55 ≤ Smin≤ 62 and a L coordinate in the range of Lmin≤ L ≤ 140, wherein Lmin is in the range of 96 ≤ Lmin ≤ 102; a combined protocol with first color coordinates compris- ing a H coordinate comprising the range of 354≤H≤45 or in the range of 19 ≤ H ≤ 79, a S coor-dinate in the range of 19 ≤ S ≤ 83, and a L coordinate in the range of 62 ≤ L ≤ 130, and withsecond color coordinates comprising a H coordinate comprising the range of 354≤H≤45 or inthe range of 5 ≤ H ≤ 65, a S coordinate in the range of 18 ≤ S ≤ 82, and a L coordinate in therange of 88 ≤ L ≤ 145; a H coordinate comprising the range of 354≤H≤45, a S coordinate in therange of 35 ≤ S ≤ 99, and a L coordinate in the range of Lmin≤L≤Lmaxwherein the Lminis 0 or 0≤Lmin≤30 and wherein the Lmax is set so as to get a certain % shot-out, such as an Lmax of78≤Lmax≤127; a H coordinate comprising the range of 354≤H≤45, an S coordinate in the rangeof Smin≤S≤Smaxwherein the Sminis 0 or 0≤Smin≤30, and a L coordinate in the range of Lmin≤L≤Lmax wherein the Lmin is 0 or 0≤Lmin≤30, and wherein the Lmax and Smax are set so as to get a cer-tain % shot-out, such as an Lmax of 78≤Lmax≤127, and an Smax of 60≤Smax≤99; a H coordinatecomprising the range of 354≤H≤45, a L coordinate in the range of Lmin≤L≤Lmax wherein the Lminis 96≤Lmin≤110, 96≤Lmin≤102 or 97≤Lmin≤110, such as an Lminof 105, and the Lmaxis 138≤Lmax≤145, such as an Lmax of 140, and an S coordinate in the range of Smin≤S≤Smax whereinthe Smin is 55≤Smin≤75, 55≤Smin≤62 or 65≤Smin≤75, such as an Smin of 70, and the Smax is95≤Smax≤255, such as an Smax of 98 or 120; or said predefined sorting protocol may comprise atleast one protocol with HSL object settings for the seeds to be ejected / shot-out, wherein the H object setting can be any H range, as long as it includes 354 ≤ H ≤ 45, such as a sorting proto-col with H object settings for the seeds to be ejected / shot-out of any H range, but including therange of 354 ≤ H ≤ 45, the Smin and Smax as provided by the sorting device for the seeds to beshot-out, and an Lmin of 0 or 0≤Lmin≤30 and an Lmax between 85 and 127.Additionally, the seeds to be sorted out may further be identified by identifying objects in the im- age having one or more of a predefined area, a predefined size, a predefined diameter, a pre-defined equivalent diameter and a predefined shape. For example, the seeds to be sorted outmay be further identified by identifying objects in the image having a determined area exceedingan area threshold in the range of 200 to 1500 pixels or 300 to 1500 pixels, such as 400-1000pixels, or in the range of 500 to 1000 pixels, specifically in the range of 550 to 800 pixels, morespecifically in the range of 700 to 800, most specifically the area threshold is 200, 400, 600,700, or 750 pixels. The pixel range for larger seeds with an average thousand kernel weight(TKW) above 40 may be generally preferably higher (700-1500 pixel) as compared to seed lotswith an average TKW around 30 (300-600 pixel), while smaller pixel sizes (such as 200) is forshooting out seeds with black spots. Also, sieving seeds or separating seeds based onsize / weight, such as before the sorting method of the invention, can help improve sorting accu- racy and reduce losses. The method may specifically comprise separately repeating steps i. to iv. with the ejected frac-tion of seeds and the retained fraction of seeds. For example, the steps i. to iv. may be repeated(once or more, such as 1-3 times) using the retained fraction of seeds with the first backlight,wherein the steps i. to iv. may be repeated using the ejected fraction of seeds with the secondbacklight. The retained fraction may mostly contain the non-colored seeds, such as sterile “white” seeds lacking a blue aleurone, and the ejected fraction may mostly contain the coloredseeds, such as fertile seeds having a blue aleurone. In the following, the first backlight and thesecond backlight and further optional backlights may be given in absolute HSL values (in a 360scale for the H and a 255 scale for the S and L values). However, these color values may beequivalently transformed to relative HSL values or even to different color spaces, e.g. to the RGB color space, as outlined above. In the above, the first backlight, in the HSL color space, may have at least one color selected from the group consisting of: a H coordinate of 340, a S coordinate of 192 and a L coordinate of 172; a H coordinate of 71, a S coordinate of 255 and aL coordinate of 123. The second backlight, in the HSL color space, may have at least one colorselected from the group consisting of: a H coordinate of 20, a S coordinate of 255 and a L coor- dinate of 150; a H coordinate of 111, a S coordinate of 255 and a L coordinate of 123; a H coor-dinate of 0, a S coordinate of 255 and a L coordinate of 110, or any H coordinate differing fromthe above H coordinates by + / - 3 (in the 0-360 scale), any S coordinate differing from the aboveS coordinates by + / - 15 (in the 0-255 scale), or any L coordinate differing from the above L coor-dinate by + / - 5 (in the 0-255 scale).Alternatively or additionally, the steps i. to iv. may be done using a first backlight that may have,in the HSL color space, a color with, e.g., a H coordinate of 0, a S coordinate of 255 and a L co-ordinate of 110 (e.g., to maximize the yield of non-colored (such as sterile “white”) seeds, andthe steps i. to iv. may be repeated using the retained fraction of seeds with a second backlightthat differs from said first backlight (and that may have, in the HSL color space, e.g., at leastone color having a H coordinate of 340, a S coordinate of 192 and a L coordinate of 172 or a Hcoordinate of 71, a S coordinate of 255 and a L coordinate of 123), wherein the steps i. to iv.may be repeated using the ejected fraction of seeds with a third backlight, the third backlight, inthe HSL color space, having a H coordinate of H ≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤L ≤ 0.80. The third backlight may be different from the first and second backlight. In this exam-ple, the first backlight, in the HSL color space, may have a H coordinate of 0, a S coordinate of255 and a L coordinate of 110, or has a H coordinate of 71, a S coordinate of 255 and a L coor-dinate of 123. The second backlight, in the HSL color space, may have at least one color se-lected from the group consisting of: a H coordinate of 340, a S coordinate of 192 and a L coordi-nate of 172; a H coordinate of 71, a S coordinate of 255 and a L coordinate of 123. Any of thesecond backlights may be used to repeat at least once (such as 1-3 times) the steps i. to iv. us-ing the retained fraction of seeds. The third backlight, in the HSL color space, may have at leastone color selected from the group consisting of: a H coordinate of 20, a S coordinate of 255 and a L coordinate of 150; a H coordinate of 0, a S coordinate of 255 and a L coordinate of 110; a H coordinate of 71, a S coordinate of 255 and a L coordinate of 123; a H coordinate of 111, a S coordinate of 255 and a L coordinate of 123.Alternatively or additionally, the steps i. to iv. may be repeated using the retained fraction ofseeds with a second backlight (that may have a H coordinate of 340, a S coordinate of 192 anda L coordinate of 172), wherein the steps i. to iv. may be repeated using the ejected fraction ofseeds with the first backlight (that may have a H coordinate of 0, a S coordinate of 255 and a Lcoordinate of 110). Alternatively or additionally, in the above method using the first backlight (that may have a H coordinate of 0, a S coordinate of 255 and a L coordinate of 110), the stepsi. to iv. may be repeated using the ejected fraction of seeds (e.g., mostly dark and light blueseeds) with the first backlight (that may have a H coordinate of 0, a S coordinate of 255 and a Lcoordinate of 110), wherein the steps i. to iv. may be repeated using the ejected fraction of seeds from the repetition using the ejected fraction of seeds (e.g., mostly dark and light blueseeds) with a further third backlight (that may have a H coordinate of 20, a S coordinate of 255and a L coordinate of 150; or a H coordinate of 0, a S coordinate of 255 and a L coordinate of 110; or a H coordinate of 111, a S coordinate of 255 and a L coordinate of 123).The method may further comprise repeating steps i. to iv. with a retained or an ejected fractionof seeds from a repetition of steps. i. to iv. using the ejected fraction of seeds, wherein the fur- ther repetition uses a fourth backlight, the fourth backlight, in the HSL color space, having a Hcoordinate of H ≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80. The fourth backlightmay be different from the first and / or second backlight. The fourth backlight, in the HSL colorspace, may have at least one color selected from the group consisting of: a H coordinate of 20, a S coordinate of 255 and a L coordinate of 150; a H coordinate of 0, a S coordinate of 255 and a L coordinate of 110; a H coordinate of 71, a S coordinate of 255 and a L coordinate of 123; a H coordinate of 340, a S coordinate of 192 and a L coordinate of 172; a H coordinate of 111, a S coordinate of 255 and a L coordinate of 123.A fraction of ejected and / or retained seeds comprising, specifically consisting of, non-coloredcereal seeds may be added to a repetition of steps i. to iv. using the retained fraction of seeds.Indeed, e.g., retained seeds obtained after shooting out colored (such as blue aleurone) seedsin the method aiming for purer non-colored (such as male-sterile seeds, in the non-colored seed enrichment stream) can be used in a further shooting out of colored (such as blue aleurone) seeds to maximize non-colored seed purity, and also the retained seeds obtained after shooting out light and dark colored (such as light and dark blue aleurone) seeds in the colored seed stream (such as the 1n / 2n blue aleurone maintainer stream) can be used in or added to the seeds used in the non-colored (such as male sterile) seed sorting stream to maximize yield of non-colored (such as male-sterile) seeds, certainly when handling high volumes of seed in large-scale productions in the field.The repetition of steps i. to iv. using the retained fraction of seeds may be repeated at leasttwice.Whenever reference is made herein to a specific backlight setting in the HSL color space by ref-erence to a specific numeric value for the H, S or L backlight setting in this application, such asthe exemplified specific HSL settings or the specific HSL settings referred to in the descriptionand / or the Figures, then said specific HSL setting can differ to the specific value given by + / 3,+ / - 2 or + / - 1 for the H value (on the 0-360 scale), by + / - 15, + / - 10, or + / - 5 for the S value (onthe 0-255 scale) or by + / - 5, + / - 4, + / 3, + / - 2 or + / - 1 for the L value (on the 0-255 scale). Hence,an H value of 20 can be replaced by an H value of 17 or 23 or any value between 17 and 23, anS value of 192 can be replaced by an S value of 177 or 207 or any value in between 177 and207, an L value of 123 can be replaced by an L value of 118 or 128 or any value in between 118and 128. Also, before using specific HSL backlight settings on another seed sorter device, thevalues may need to be adjusted depending on the quality of the backlight, camera, etc. used, toget a similar sorting efficiency. Also, in some cases an alternative HLS backlight can be used ina certain step (such as those illustrated in the description of Figures 4-9).In the above, in the sorting steps of the seed stream improving purity of non-colored (such asmale sterile seeds lacking a blue aleurone) seeds (non-colored seed stream), the first backlightin the first sorting step can be used to retain non-colored seeds and shoot-out colored seeds(such as using the DB_LB shoot out method described herein with HSL backlightsH340 / S192 / L172 or H71 / S255 / L123 to maximize the yield of colored (such as blue aleurone)seeds ejected, as can be seen in Figs.4-7 (left part)), or using the DB_LB shoot out method de-scribed herein with the HSL backlight H0 / S255 / L110 to maximize the yield of non-colored seeds(such as male-sterile seeds without blue aleurone) in the retained fraction (as can be seen inFigs.8 and 9 (left part)). In a second sorting step, in the non-colored seed stream (such as themale sterile seed enrichment seed stream) using the seeds retained in the first sorting step us-ing the first backlight, the first backlight can be used repeatedly (such as repeated 1 time, 2times or 3 times, or 1-3 times) to purify non-colored seeds (such as the male-sterile seeds) andshoot-out colored seeds (such as dark and light blue seeds), when the first backlight has HSL settings H340 / S192 / L172 or H71 / S255 / L123 (such as by using the DB_LB Shoot out methoddescribed herein with the (same or the alternative) first backlight as in the first sorting step, ascan be seen in Figs.4-7 (left part)). Alternatively, in a second sorting step in the non-coloredseed stream using the seeds retained with the first sorting step using the first backlight, a sec- ond backlight can be used to purify non-colored seeds (such as the male-sterile seeds) andshoot-out colored seeds (such as dark and light blue seeds), when the first backlight has HSLsettings H0 / S255 / L111, such as wherein said second sorting step uses the DB_LB Shoot outmethod described herein with the second backlight HSL settings H340 / S192 / L172 orH71 / S255 / L123, as can be seen in Figs. 8 and 9 (left part).In the above, the ejected / shot-out colored seeds from the first sorting step using said first back-light can be used in the seed stream improving the purity of colored (such as blue or light blue(1n / 2n maintainer)) seeds (the colored seed stream). Hence, said first sorting step in the non-colored seed stream is also the first sorting step in the colored seed stream, using the same firstbacklight as in the non-colored seed stream (but instead of the retained seeds, the ejectedseeds are used in the colored seed stream). In a second sorting step in said colored seedstream, the ejected colored (such as blue, fertile (maintainer) seed) seeds of the first sortingstep using the first backlight, are depleted from dark colored (such as 3n dark blue) seeds using a second backlight to purify lighter colored (such as 1n / 2n blue seeds) by shooting-out the dark colored seeds (such as 3n dark blue seeds), wherein the second backlight has HSL settingsH20 / S255 / L150, H111 / S255 / L123 or H0 / S255 / L110 (such as by using the dark blue (DB) Shootout method described herein with that second backlight (which can use the low L or low L+Smethod as described herein), as can be seen in Figs.4-8 (right part)), or the second backlight insaid second sorting step has HSL settings H0 / S255 / L110 (such as by using the DB_LB Shootout method described herein with that second backlight (as can be seen in Fig.9 (right part)).Also, in said colored seed stream a third sorting step can be done using a third backlight to ei-ther : i) shoot out light colored (such as light blue) seeds (such as by using the LB Shoot outmethod described herein with a third backlight with HSL settings H0 / S255 / L111,H71 / S255 / L123 or H20 / S255 / L150, as can be seen in Figs.4 and 5 (right part), or with a thirdbacklight with HSL settings H0 / S255 / L111 or H71 / S255 / L123, as can be seen in Fig.8 (rightpart)), or ii) shoot out light and dark colored seeds (such as blue and dark blue seeds, such asby using the LB_DB Shoot out method described herein with the third backlight with HSL set-tings H340 / S192 / L172 or H71 / S255 / L123, as can be seen in Fig. 6 (right part), or by using theLB_DB Shoot out method described herein with the third backlight with HSL settings H0 / S255 / L110 or H71 / S255 / L123 (as can be seen in Fig.7(right part)), or iii) shoot out dark col-ored (such as 3n dark blue ) seeds, such as by using the DB Shoot out method describedherein (which can use the low L or low L+S method as described herein) with the third backlightwith HSL settings H20 / S255 / L150, H0 / S255 / L110 or H111 / S255 / L123 (as can be seen in Fig. 9(right part)). In the above, included are also any backlight with an H coordinate differing from theabove H coordinates by + / - 3 (in the 0-360 scale), any S coordinate differing from the above Scoordinates by + / - 15 (in the 0-255 scale), or any L coordinate differing from the above L coordi-nate by + / - 5 (in the 0-255 scale).In one embodiment of the above methods, besides the preferred backlight HSL settings as de-scribed above, also the L object settings, or the L and S object settings for the objects to beejected are modified from those provided by the sorting device, such as by lowering the Lminand adapting the Lmaxto a certain quantity of seeds to be shot-out, or lowering the Lminand Smin, andadapting the Lmax or the Lmax and Smax to a certain quantity of seeds to be shot-out (e.g., the H,S, and L object settings as specifically described herein for the low L (lightness) or low L+Smethods to remove dark blue seeds, or as specifically described for the light blue (LB) Shootout method to retain dark colored and non-colored seeds).Also, in the above schemes, such as in the schemes in Figures 4 to 9, besides the sorting ac-cording to the method as described herein, using adapted backlight HSL settings (with or with-out reduced / adapted L or L and S object settings), also any other sorting method or tool can beused that can help improve to maximize yield of non-colored cereal seeds; maximize yield of colored cereal seeds; maximize purity of non-colored cereal seeds, specifically by removing of impurities, such as colored seeds, weed seeds, disease-infected (such as ergot-infected) seeds and / or other plant parts; maximize purity of colored cereal seeds; reduce number of colored seeds in non-colored seeds; reduce number of non-colored seeds in colored seeds; maximize purity of non-colored seeds while reducing losses of non-colored seed; maximize purity of col-ored seeds while reducing losses of colored seed; or any combinations thereof. In this regard, inaddition to the methods described herein, dark blue 3n aleurone seed, light blue 1n / 2n blue al-eurone seed, or non-colored “white” seed removal or retention can be done by visual and / or in-frared spectral analysis, specifically near-infrared spectral analysis, and / or UV spectral analysis,and / or spectral analysis using x-rays, and / or spectral analysis using Raman scattering, with orwithout using a trained neural network to improve sorting efficiency. Any other (color) sortingmethod or other sorter (e.g., the Cimbria SEA.IQ PLUS, or a SMART sorter from AnySort), suchas a method or sorter using artificial intelligence (provided with or without adaptable backlightcolor) can be used next to (before, during or after) the methods of the invention to shoot-out any(remaining) non-colored “white” seeds from the blue / colored seed stream. In one embodiment,such other sorting method, may be done on / by the same sorting device as the method(s) of theinvention.At least step iii., and optionally at least one of steps ii. and iv., may specifically be at least one ofcomputer-implemented and computer-controlled. The term “computer-implemented” as usedherein is a broad term and is to be given its ordinary and customary meaning to a person of or- dinary skill in the art and is not to be limited to a special or customized meaning. The term spe- cifically may refer, without limitation, to a method or method step involving at least one com- puter and / or at least one computer network. The computer and / or computer network may com-prise at least one controller which is configured for performing at least one of the method stepsof the method according to the present invention. The computer-implemented method stepsmay be performed completely automatically, specifically without user interaction. The term“computer-controlled” as used herein is a broad term and is to be given its ordinary and custom-ary meaning to a person of ordinary skill in the art and is not to be limited to a special or cus- tomized meaning. The term specifically may refer, without limitation, to a method or methodstep involving control by at least one computer and / or at least one computer network. Specifi-cally, the computer-controlled method steps may involve using at least one computer and / orcomputer network which may comprise at least one controller being configured for controlling atleast one of device, such as the sorting station and / or any parts thereof, to perform the specific task or function. For example, at least one computer and / or computer network may comprise atleast one controller being configured for controlling the camera to take the image of the back-lighted seed of the seed stream. Alternatively or additionally, at least one computer and / or com-puter network may comprise at least one controller being configured for controlling the sortingstation, specifically the ejector, to eject seeds identified to be sorted out from the seed stream. In step iii, from the image taken in step ii, the automatic identification from the seeds to be sorted out from the seed stream may be a trained artificial neural network (ANN). The term “arti- ficial neural network”, also referred to as “neural network”, as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limita- tion, to a mathematical model comprising of a plurality of units or nodes which are connected by one or more edges. Each of the units or nodes may receive at least one input signal from one or more connected units or nodes and may be configured for processing the at least one input sig- nal and forward at least one output signal to one or more connected units or nodes. The input signal and / or the output signal may be a real number. The output signal of each unit or node may be computed by at least one mathematical function, specifically at least one non-linear function, taking into account the sum the input signals. The mathematical function of the unit or node may be an activation function of the unit or node. A strength of the input signal at each connection may be determined by using an adjustable weight, wherein the adjustable weightmay be adjusted during a learning or training process. The units or nodes may be aggregatedinto two or more layers. An input signal may be given to an input layer and may be forwarded toan output layer. Optionally, the artificial neural network may comprise one or more hidden layersin between the input layer and the output layer. The method may further comprise at least one training step. In the training step, the ANN may be trained using labeled images. The labeled images may comprise genotyping data and / or pro- vide information on seeds having a normal (non-colored) aleurone and cereal seeds containing a blue aleurone. Thus, the labeled images may provide ground truth data for the training step. The trained ANN may be trained using records of training data. A record of training data may comprise training input data and corresponding training output data. The training output data of a record of training data may be the result that is expected to be produced by the ANN whenbeing given the training input data of the same record of training data as input. The deviationbetween this expected result and the actual result produced by the ANN may be observed and rated by means of a “loss function”. This loss function may be used as a feedback for adjusting the parameters of the ANN. For example, the parameters may be adjusted with the optimization goal of minimizing the values of the loss function that result when all training input data is fed into the ANN and the outcome is compared with the corresponding training output data. The re- sult of this training may be that given a relatively small number of records of training data as “ground truth”, the ANN is enabled to perform its job well for a number of records of input data higher by many orders of magnitude. Thus, the ANN may comprise at least one algorithm and model parameters. Parameters of the ANN may be adjusted in the training step. The method may further comprise at least one second spectral seed sorting step. The term“spectral seed sorting step” as used herein is a broad term and is to be given its ordinary andcustomary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a process of sorting seed by spectral means. Specifically, the second spectral seed sorting step may comprise using at least one spectrometer device, such as a device configured for acquiring at least one optical property or optically measurable property as a function of a wavelength. In particular, the spec- trometer device used in the second spectral seed sorting step may be or may comprise an ap- paratus configured for recording a signal intensity with respect to the corresponding wavelength of a spectrum or a partition thereof, such as a wavelength interval. The second spectral seed sorting step may comprise one or more of an infrared spectral analysis, specifically a near-infra- red spectral analysis, a UV spectral analysis, a spectral analysis using x-rays and / or a spectral analysis using Raman scattering. The second spectral seed sorting step, such as a near-infra- red spectral analysis, may be performed simultaneously or consecutively with steps i. to iv.. For example, the second spectral seed sorting step may be performed after steps i. to iv., e.g. as a subsequent sorting round to steps i. to iv.. Alternatively, the spectral seed sorting step may be performed in a timely overlapping fashion with steps i. to iii., wherein the ejecting in step iv. may be performed on the basis of the outcome of step iii. and / or the second spectral sorting step. The second spectral seed sorting step may comprise determining at least one item of spectro- scopic information on the seeds of the seed stream, that is different from the information deter-mined in the above first visual light sorting step, specifically in method steps i. to. iii.. The item ofspectroscopic information may comprise at least one of a transmission, an absorption, a reflec- tion and an emission of the seeds in the seed stream with respect to the corresponding wave- length of a spectrum or a partition thereof, such as a wavelength interval. The second spectral seed sorting step may comprise determining at least one a transmission, an absorption, a re- flection and an emission in the infrared spectral range, e.g. in a wavelength range from 760 nm to 1000 μm, specifically in a near-infrared spectral range, e.g. in a wavelength range from 760 nm to 1.5 μm. The at least one item of spectroscopic information may be used for automatically identifying seeds to be sorted out from the seed stream. For example, the item of spectroscopic information may be used for determining one or more of a presence, an absence and a concen- tration of a specific compound in the seeds, e.g. of an organic colorant, such as anthocyanin. Methods for identifying anthocyanin contents by NIR spectroscopy are known to the skilled per- son, e.g. as described in Stuppner et al.(2020, Sensors 20(17), 4983 (https: / / doi.org / 10.3390 / s20174983), Chen et al. (2015, Food Chemistry 172, 788-793 (https: / / doi.org / 10.1016 / j.foodchem.2014.09.119), or WO 2023 / 088892 A2. The seeds in the seeds stream for which one or more of a presence, an absence and a concentration of the spe- cific compound is detected may be ejected by using the ejector of the sorting station. The second spectral seed sorting step may further comprise a trained artificial neural network which automatically identifies seeds to be sorted out from the seed stream based on the at leastone item of spectroscopic information. The method may further comprise at least one trainingstep. In the training step, the ANN may be trained using labeled spectroscopic information. The labeled spectroscopic information may comprise genotyping data and / or provide information on seeds having a normal (non-colored) aleurone and cereal seeds containing a blue aleurone. Thus, the labeled spectroscopic information may provide ground truth data for the training step. The method may further comprise at least one control analysis step. The control analysis stepmay comprise using a multispectral imaging device having black-colored background, such as ablack-colored conveyor belt. Specifically, the multispectral imaging device may have a black- colored conveyor belt. The black-colored conveyor belt may specifically give the most accurate control results with respect to visual inspection.In a further aspect of the present invention, a sorting device for sorting cereal seeds is dis-closed. The term “sorting device” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a spe- cial or customized meaning. The term specifically may refer, without limitation, to a device con- figured for performing at least one sorting function. Specifically, the sorting device may be con-figured for differentiating and separating the seeds to be sorted out from the other seeds in theseed stream. The sorting device comprises, as will be outlined in further detail below, at leastone seed feeder for supplying a seed stream. The sorting device may be or may comprise anoptical sorting device. Specifically, the sorting device may comprise at least one optical system which is configured, in conjunction with image processing software, for identifying seeds to be sorted out in the seed stream. For example, the camera and the backlight device may be part of the optical system of the sorting device. The sorting device may further comprise at least one separation system for performing separation of the seeds to be sorted out from the other seeds in the seed stream. For example, the ejector may be part of the separation system. The sorting device comprises:I. at least one seed feeder for supplying a seed stream to at least one sorting station; andII. at least one sorting station, comprising at least one backlight device for backlighting seedsof the seed stream, the sorting station further comprising at least one camera for taking at least one image of the backlighted seed, and the sorting station further comprising at least one ejector for ejecting seeds from the seed stream. The sorting device is configured for performing the method according to the present invention,such as according to any one of the embodiments disclosed above and / or according to any oneof the embodiments disclosed in further detail below. Thus, for definitions of terms and / or de- scription of possible embodiments, reference is made to the description of the method of sorting cereal seeds above.The term “seed feeder” as used herein is a broad term and is to be given its ordinary and cus-tomary meaning to a person of ordinary skill in the art and is not to be limited to a special orcustomized meaning. The term specifically may refer, without limitation, to a device configuredfor supplying a seed stream. Specifically, the seed feeder may comprise at least one feed hop-per configured for receiving a plurality of seeds and for providing the seeds to at least one chutein a controllable fashion. The seed feeder may further comprise at least one vibratory feeder configured for applying vibrations to the feed hopper such that seeds comprised therein may leave the feed hopper to the at least one chute. The seed feeder may be configured for supply- ing the plurality of seeds arranged in a regular fashion. The seed feeder may be configured for supplying the plurality of seeds arranged individually in a row or line. The sorting device may further comprise at least one controller. The term “controller” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of or- dinary skill in the art and is not to be limited to a special or customized meaning. The term spe- cifically may refer, without limitation, to an arbitrary logic circuitry configured for performing basic operations of a computer or system, and / or, generally, to a device which is configured for per- forming calculations or logic operations. In particular, the controller may be configured for pro- cessing basic instructions that drive the computer or system. As an example, the controller may comprise at least one arithmetic logic unit (ALU), at least one floating-point unit (FPU), such as a math co-processor or a numeric co-processor, a plurality of registers, specifically registers configured for supplying operands to the ALU and storing results of operations, and a memory, such as an L1 and L2 cache memory. In particular, the controller may be a multi-core proces- sor. Specifically, the controller may be or may comprise a central processing unit (CPU). Addi- tionally or alternatively, the controller may be or may comprise a microprocessor, thus specifi- cally the controller’s elements may be contained in one single integrated circuitry (IC) chip. Ad- ditionally or alternatively, the controller may be or may comprise one or more application-spe- cific integrated circuits (ASICs) and / or one or more field-programmable gate arrays (FPGAs) and / or one or more tensor processing unit (TPU) and / or one or more chip, such as a dedicated machine learning optimized chip, or the like. The controller specifically may be configured, suchas by software programming, for performing one or more operations. The controller may be con-figured for performing at least step iii. of the method. Optionally, the controller may further be configured for controlling at least one of steps ii. and iv. of the method. The sorting device may further comprise at least one target chute and at least one sort-outchute. The term “target chute” as used herein is a broad term and is to be given its ordinary andcustomary meaning to a person of ordinary skill in the art and is not to be limited to a special orcustomized meaning. The term specifically may refer, without limitation, to a seed passage ded-icated to seeds which are not be sorted out. The term “sort-out chute” as used herein is a broadterm and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer,without limitation, to a seed passage dedicated to the seeds to be sorted out. The target chuteand the sort-out chute may specifically be different from each other. The seeds ejected by theejector may be collected by the sort-out chute. The remaining seed stream may be collected bythe target chute. The sorting station, specifically the ejector, may be configured for separatingthe seeds from the seed stream into the sort-out chute in case the seeds are identified as seeds to be sorted out. The sorting device may be configured such that seeds from the seed stream which are not identified as seeds to be sorted out may pass the sorting station towards the tar- get chute. The sorting station may be configured such that the seed stream passes the sorting station be- tween the backlight device and the camera. The sorting station may comprise at least two cameras. The cameras may be configured for tak-ing images of the backlighted seed from different angles in space. The sorting station may fur-ther comprise at least two backlight devices. Each backlight device may be assigned to a cam-era of the at least two cameras. The cameras may be configured for taking images of the back-lighted seed from opposing directions. For example, the sorting station may comprise at leastone first backlight device assigned to at least one first camera. The first backlight device may be arranged on a first side with respect to the seed stream. The first camera may be arranged on asecond side opposing the first side with respect to the seed stream. Further, the sorting stationmay comprise at least one second backlight device and at least one second camera. The sec- ond backlight device may be arranged on the second side and the second camera may be ar- ranged on the first side. The term “ejector” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customizedmeaning. The term specifically may refer, without limitation, to an arbitrary device configured forejecting seeds. The ejector may specifically be or may comprise at least one of a mechanical device and a pneumatic device. The ejector may comprise at least one of a mechanical ejector having at least one mechanical actor and a pneumatic ejector having at least one nozzle for di- recting an air jet at the seed to be sorted out from the seed stream. For example, the ejectormay comprise the at least one pneumatic ejector configured for ejecting the seed to be sortedout from the seed stream by using compressed air directed via one or more nozzles to separate the seed to be sorted out from the seed stream. In a further aspect of the present invention, a computer program is disclosed, comprising in- structions which, when the program is executed by the sorting device according to the present invention, such as according to any one of the embodiments described above and / or accordingto any one of the embodiments disclosed in further detail below, specifically by the controller ofthe sorting device, causes the sorting device to perform at least step iii. of the method according to the present invention, such as according to any one of the embodiments described above and / or according to any one of the embodiments disclosed in further detail below, and, option- ally, at least one of steps ii. and iv. of the method. Thus, specifically, one, more than one or even all of method steps i. to iv. as indicated above may be performed and / or controlled by using a computer or a computer network, preferably by using a computer program. In a further aspect of the present invention, a computer-readable storage medium, specifically a non-transient computer readable medium, is disclosed, comprising instructions which, when the instructions are executed by the sorting device according to the present invention, such as ac- cording to any one of the embodiments described above and / or according to any one of the em- bodiments disclosed in further detail below, specifically by the controller of the sorting device, cause the sorting device to perform at least step iii. of the method according to the present in- vention, such as according to any one of the embodiments described above and / or according to any one of the embodiments disclosed in further detail below, and, optionally, at least one of steps ii. and iv. of the method. As used herein, the term “computer-readable data medium” specifically may refer to non-transi- tory data storage means, such as a hardware storage medium having stored thereon computer- executable instructions. The computer-readable storage medium specifically may be or may comprise a storage medium such as a random-access memory (RAM) and / or a read-only memory (ROM). The computer-readable storage medium may be or may comprise at least one computer-readable data carrier. Further disclosed and proposed herein is a computer program product having program code means, in order to perform and / or control the method according to the present invention in one or more of the embodiments disclosed herein when the program is executed on a computer or computer network. Specifically, the program code means may be stored on a computer-reada- ble data carrier and / or on a computer-readable storage medium. Further disclosed and proposed herein is a data carrier having a data structure stored thereon, which, after loading into a computer or computer network, such as into a working memory ormain memory of the computer or computer network, may execute and / or control executing ofthe method according to one or more of the embodiments disclosed herein. Further disclosed and proposed herein is a computer program product with program code means stored on a machine-readable carrier, in order to perform and / or control performing of the method according to one or more of the embodiments disclosed herein, when the program is executed on a computer or computer network. As used herein, a computer program product refers to the program as a tradable product. The product may generally exist in an arbitrary for- mat, such as in a paper format, or on a computer-readable data carrier and / or on a computer- readable storage medium. Specifically, the computer program product may be distributed over a data network.Finally, disclosed and proposed herein is a modulated data signal which contains instructionsreadable by a computer system or computer network, for performing and / or controlling the method according to one or more of the embodiments disclosed herein. Referring to the computer-implemented aspects of the invention, one or more of the method steps or even all of the method steps of the method according to one or more of the embodi- ments disclosed herein may be performed and / or controlled by using a computer or computer network. Thus, generally, any of the method steps including provision and / or manipulation of data may be performed by using a computer or computer network. Generally, these method steps may include any of the method steps, typically except for method steps requiring manual work, such as providing the samples and / or certain aspects of performing the actual measure- ments. In a further aspect of the present invention, a use of the sorting device according to the present invention, such as according to any one of the embodiments described above and / or according to any one of the embodiments disclosed in further detail below, is disclosed, for a purpose of use, selected from the group consisting of: sorting out of colored seeds from a mixture of seeds containing non-colored seeds and colored seeds; sorting out of dark colored seeds from a mix- ture of seeds containing dark colored seeds and lighter colored seeds (with or without non-col-ored seeds in said mixture); sorting out of lighter colored seeds from a mixture of seeds contain-ing dark colored seeds and lighter colored seeds, which mixture may contain non-coloredseeds; sorting out of dark colored seeds and lighter colored seeds from a mixture of seeds con-taining dark colored seeds, lighter colored seeds and non-colored seeds; sorting out of colored cereal seeds from a mixture of cereal seeds containing non-colored cereal seeds and colored cereal seeds; sorting out of colored cereal seeds containing a blue aleurone from a mixture of cereal seeds containing non-colored cereal seeds and cereal seeds containing a blue aleurone; sorting out of 3n dark blue aleurone seeds from a mixture of seeds containing 1n, 2n and 3n blue aleurone seeds (with or without non-colored seeds); sorting out of 1n and 2n lighter blue aleurone seeds from a mixture of seeds containing 1n, 2n and 3n blue aleurone seeds (with or without non-colored seeds in said mixture); sorting out of 1n, 2n and 3n lighter and darker blue aleurone seeds from a mixture of seeds containing 1n, 2n and 3n blue aleurone seeds and non- colored seeds; sorting out of colored cereal seeds containing a blue aleurone from a mixture ofcereal seeds containing non-colored cereal seeds and cereal seeds containing a blue aleuroneusing at least one backlight having, in the HSL color space, a H coordinate of 70 ≤ H ≤ 150;sorting out of colored cereal seeds containing a blue aleurone from a mixture of cereal seedscontaining non-colored cereal seeds and cereal seeds containing a blue aleurone using at leastone backlight having, in the HSL color space, a H coordinate of 25 ≤ H ≤ 70; sorting out of col- ored cereal seeds containing a blue aleurone from a mixture of cereal seeds containing non-col- ored cereal seeds and cereal seeds containing a blue aleurone using at least one backlight hav- ing, in the HSL color space, a H coordinate of 0 ≤ H < 25 or H ≥ 310.Specifically, using the sorting device according to the present invention for sorting out of coloredcereal seeds containing a blue aleurone from a mixture of cereal seeds containing non-coloredcereal seeds (not having a blue aleurone) and cereal seeds containing a blue aleurone using atleast one backlight having, in the HSL color space, a H coordinate of 70 ≤ H ≤ 150, may enablesorting of the non-colored cereal seeds with high purity. Specifically, in the sorting, the whiteseeds may be retained and the blue seeds may be shot out and used, e.g. when maintainerseeds are desired and / or when looking for anthocyanin colorant in the seeds at higher amount. Also, the 3n bla seeds may be removed from the 1n and 2n blue seeds. Alternatively or addi-tionally, any blue seeds may be removed from white seeds by shooting out light and dark blueseeds. Using the sorting device according to the present invention for sorting out of colored cereal seeds containing a blue aleurone from a mixture of cereal seeds containing non-colored cereal seeds and cereal seeds containing a blue aleurone using at least one backlight having, in theHSL color space, a H coordinate of 25 ≤ H ≤ 70, may enable sorting with high efficiency, i.e.sorting the non-colored cereal seeds with good purity and high product yield. Using the sorting device according to the present invention for sorting out of colored cerealseeds containing a blue aleurone from a mixture of cereal seeds containing non-colored cerealseeds and cereal seeds containing a blue aleurone using at least one backlight having, in theHSL color space, a H coordinate of 0 ≤ H < 25 or H ≥ 310, may enable a very good purity and good product yield in the non-colored cereal seeds for seed streams having cereal seeds con- taining a blue aleurone with dark blue phenotype of the colored seeds, specifically in the seeds having the 3n blue aleurone. The method of sorting cereal seeds and the sorting device according to the present invention may provide a large number of advantages over known methods and devices. Specifically, the method of sorting cereal seeds, by using colored backlight, may improve sorting purity and sort-ing yield in sorting of cereal seeds containing non-colored cereal seeds and seeds containing ablue aleurone. The method may comprise an improved seed sorting based on color differences in mature plant seeds, specifically for wheat seeds. Different colors of mature plant seeds may be used to sort some type of seeds from others, such as seeds comprising a color gene as a screenablemarker to sort for another gene closely linked to the color gene. The method may specifically beuseful when another color of seed means a higher anthocyanin content. Additionally or alterna- tively, the method may specifically be used in the fields of hybrid breeding where the male andfemale plants have seeds of different color and the selfed male seeds are to be removed fromthe hybrid seeds using a difference in color in the seeds (e.g., when selfed male seeds and hy-brid seeds are harvested together, such as in mixed planting of a proportion of male plants inbetween a majority of female plants to produce hybrid seed). For example, in some instances,no blue seed may be allowed in certain cereal seeds sold, while blue seeds with higher antho-cyanin content may appear in cereals. The method may also reliably sort seeds even when theseed color intensity depends on the number of copies of the color locus, such as a BLA locus, and when it is challenging to sort the different color intensities from non-colored seeds. Themethod may even be used for separating seeds containing 1, 2 or 3 copies of the color locus,such as the BLA locus, in their aleurone layer.The method may specifically provide accurate color sorting of cereal grains containing a BLA locus by using colored backlight. In particular, the ability to sort the non-BLA fraction to a high purity of 99 % or higher, or of 99,7% or higher may be dependent on the use of particular back- ground light settings. In the method with the color values, in the HSL color space, of a H coordi-nate of H ≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80, such as for either yellow, redand / or green backlight, the purity in sorting may be above the threshold of 99 %, specifically of above 99.7 %, more specifically obtained by repeated shoot-outs, in particular when repeatingthe sorting for two or three times. Further, using differently colored backlight may influence theamount of losses occurring during the sorting into differently colored seed fractions. Also, in themethod with the color values with the backlight, in the HSL color space, having a H coordinateof H ≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80, such as for either yellow, redand / or green backlight, the losses of non-colored (“white”) seed (“white” seed ending up in theshoot-out fraction), when achieving a purity above 99 or 99.7 %, may be 4-45%, 4-40%, 4-35 %,4-30 %, 4-25 %, 4-20 %, 4-15 %, or 4-10%. Using the method of the invention with multipleshoot-outs (without recovering white seeds from the maintainer (blue) seed stream), the sortingof the mixture of (fertile) blue aleurone and (male-sterile) non-colored seeds (produced in agood growing environment in a field trial in Germany) by 11 different blue aleurone wheat varie-ties gave on average 11,5 % (by weight) losses of white seed across these 11 varieties, varyingfrom 4 to 33 % loss of “white” seed, and across those 11 different varieties, having an averagepurity of “white” seeds of 99,6 % (ranging from 99.2-99.8 %). Hence, using the method(s) of theinvention with multiple shoot-outs, a loss of “white” seeds less than 45 %, less than 40 %, lessthan 35 %, less than 30 %, less than 25 %, less than 20 %, less than 15 %, or less than 10 %may be obtained. when a purity of at least 99 %, or at least 99,7 % of white seeds is obtained.Further, using the method of the invention with multiple shoot-outs (without recovering blue seeds from the male-sterile (“white”) seed stream), when sorting the mixture of (fertile) blue al- eurone and (male-sterile) non-colored seeds as produced in a good growing environment in Germany in one field trial with 4 different varieties, the average loss of blue aleurone seeds (byweight) in the (blue seed) maintainer seed stream was 10 % (ranging from 7 to 14 % across the4 genotypes), and the purity of blue aleurone seeds was at least 95 % on average across these4 genotypes. Thus, different backlights may have a significant influence on sorting efficiency. Agreen colored backlight, such as any or the green backlights with HSL values as described spe-cifically herein, may achieve best sorting results for shoot outs of blue seeds from a mixture ofblue and white seeds across all genotypes tested. A red colored backlight, such as any of thered backlights with HSL values as described specifically herein (including H=0 (H=360)), mayachieve highest product yields of white seeds and may best be used to separate a blue and a white fraction in a first sorting step to obtain blue seeds, before in a second or third sorting stepthe dark blue seeds (3n BLA seeds) are removed from the lighter blue seeds (1n and 2n BLAseeds), wherein said second or third sorting step is best with a yellow or orange backlight color,such as the yellow or orange or red backlights with HSL values as described specifically herein.Further, a yellow or orange colored backlight, such as the yellow or orange backlight with HSLvalues as described specifically herein, may provide the best results for sorting out dark blueseeds having 3n BLA locus in the aleurone layer from a sample of lighter blue seeds (1n and 2nBLA). The method of sorting cereal seed may specifically provide better results for sorting out blueseeds compared to sorting out white seeds. The method may be used to obtain highly purewhite seed lots, specifically when using at least two sorting rounds. This may be e.g. realized on standard large-scale seed sorting devices having multiple sorting rounds in the same machineusing several chutes working in series. Thus, in general, for genotypes being more difficult to besorted out, more shoot-out runs may improve the sorting purity. Multispectral imaging devices,such as by using a videometer ®, may be used as a quality control system to check the purity ofthe sorted seeds. Additionally or alternatively, genotyping data may be used for quality check.The multispectral imaging device may generally be used for distinguishing 3n blue aleuronehaplotype seeds (dark blue seeds) from “normal” blue 2n seed or light blue 1n blue aleurone haplotype seeds. The 3n blue aleurone haplotype seeds may be significantly darker than 2nblue aleurone haplotype seeds. The amount of dark blue 3n seeds may be reduced from blueseed batches by sorting out the darkest blue seeds (see above), e.g., by reducing the Lmin (ob-ject setting) value of a recipe to 0, or to 0≤Lmin≤60, specifically to 0≤Lmin≤ 50, more specificallyto 0≤Lmin≤40, 0≤Lmin≤30, 0≤Lmin≤ 20, or 0≤Lmin≤10, even more specifically 0≤Lmin≤30 (de-pending on the darkness of a seed lot), and the Lmax (object) value from 85 to 127 or from 81 to123 or the Lmax value is 78≤Lmax≤127, depending on the percentage or amount of 3n seedswhich is to be removed and depending on the darkness of a seed lot, specifically using any oneof the colored backlights described herein for removing / shooting out blue aleurone seed (includ-ing those referred to in the description of Figures 4-9), such as any one of the colored backlightshaving a Hue value of 0, 20, 47, 71, 340 or 111, such as H20, H47, H71, or H111, preferablyH20 or H71, more specifically a yellow or orange colored backlight having a H coordinate of 20≤ H ≤ 70, an S coordinate of 0.25 ≤ S ≤ 1 and a L coordinate of 0.35 ≤ L ≤ 0.78. In particular,this backlight has a H coordinate of 20 or 71, an S coordinate of 1 and an L coordinate of 0.58.In one embodiment, for the low L method described herein (to shoot out darker colored, such as dark blue, seeds), also a white LED backlight or a backlight with an L coordinate of L = 255(white) may be used. In this method, the Lmin (object) value is best set at 0 (safest choice, asworks well independent of darkness of seeds), but can also be raised up to 50 for dark seedlotsand up to 60 for light seedlots, without significantly influencing the percentage of dark blue seeds being shot out. Also, in this (low L) method to shoot out 3n blue aleurone seeds from blue seed batches, the Lmax depends on the amount of 3n blue aleurone seeds to be removed. E.g.,on a L scale from 0 to 255, the best Lmax for a 10% dark blue seed shoot is 77 ≤ L ≤ 87, for a15% shoot out is 79 ≤ L ≤ 95, for a 20% shoot out is 81 ≤ L ≤ 100, for a 30% shoot out is 84 ≤ L≤ 103, for a 40% shoot out is 87 ≤ L ≤ 107, and for a 50% dark blue seed shoot out is 91 ≤ L ≤110. In one embodiment, the Lmax (object) value here is set from 85 to 89, such as 85, 86, 87,88, or 89 (on a scale from 0 to 255). The Hue object settings in this low L (or lightness) methodcan be from H ≥ 345 to H ≤ 45 or from H ≥ 354 to H ≤ 54, or from ≥ 345 to H ≤ 79, or can beany H coordinate comprising the range of H ≥ 354 and H ≤ 54 (on the 0-360 H scale).In one embodiment of the invention, the amount of darker cereals seeds, such as dark blue 3ncereal seeds may also be reduced from lighter cereal seeds, such as lighter blue 1n / 2n seeds,by sorting out the darkest seeds, such as the dark blue 3n seeds, e.g., by reducing the Lmin (ob- ject setting) value of a recipe. The Lmin can be set at 0, or to a range from 0 to 60, specifically to a range from 0 to 50, more specifically to a range from 0 to 40, 0 to 30, 0 to 20, or 0 to 10, even more specifically to a range from 0 to 30 (including the end points, depending on the darknessof a seed lot), and the Lmax (object) value from 78 to 120 or from 81 to 123 or from 78 to 127 (ona 0-255 scale, depending on the percentage or amount of 3n seeds which is to be removed, and the darkness of a seed lot).The above (low L) method to reduce the amount of dark blue 3n seeds in blue seed batchescan, e.g., be used in a second or third sorting step after first sorting out the blue seeds (retain-ing white seeds), using the fraction shot-out from the earlier sorting step(s) as described above(e.g., in the DB Blue Shoot Out step as schematically shown in Figures 4-9, with the adaptedbacklight HSL settings of the invention).In this context, it is useful to note that the percentage of 3n (double blue, disomic) dark blue seeds in the blue seeds fraction of segregating spikes of cereal plants with a hybrid system based on a blue aleurone locus on the same chromosome (arm) as the fertility restorer gene (in a plant having a male-sterility gene, causing male sterility in absence of the restorer gene) is ap- proximately 10-20%. If that blue seed fraction is then used for seed multiplication without deple- tion of the disomic dark blue seeds, the percentage of dark blue 3n seeds increases to more than 30% in the first, to more than 60% in the second and to more than 90% in the 3rd genera- tion. Without depletion of the disomic dark blue seeds, the % of “white” seeds obtained in the amplification of the maintainer drops from about 66 / 34 (white / blue) to 60 / 40 in the next amplifi- cation, to 45 / 55 in the following amplification, and to 31 / 69 in the next amplification (provided 3 n blue aleurone seeds are not removed). Hence, the amount of male-sterile females obtainedfrom a certain area decreases and therefore the production cost is increased. Hence, it is sug-gested to deplete the amount of dark blue 3n seeds in the blue seed fraction by means of a spe- cific seed sorting step in which either the darkest seeds of a blue seed fraction are shot out, or alternatively only light blue seeds are shot out and only the light blue fraction is used for seed amplification. Said sorting step can also be used to remove (darker) colored seed from a seed batch containing (darker) colored and non-colored or light-colored seeds. As outlined above, step iii. comprises automatically identifying, from the image taken in step ii., seeds to be sorted out from the seed stream. In step iii., seeds to be sorted out from the seedstream may be identified by identifying, in the image, objects having predefined color coordi-nates as provided (on the image taken) by the sorting device, specifically color coordinates in apredefined range in the HSL color space. In one embodiment of this invention, the method maycomprise the above sorting method wherein the at least one backlight, in the HSL color space,has a H coordinate of H ≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80, and whereinthe predefined object HSL settings of the seeds to be sorted out, as provided by the sorting de-vice, may be purposefully changed or modified so as to shoot-out certain seeds or a certainamount of seeds, such as to shoot-out (a certain amount of) (darker) colored seeds from non- colored or lighter-colored seeds, or to shoot-out (a certain amount of) dark blue (3n) blue aleu- rone seeds from 2n / 1n blue aleurone seeds or non-colored “white” seeds, or light blue (1n / 2n) seeds from dark blue and non-colored seeds. In one embodiment, the modification of said pre-defined object HSL settings may encompass the modification of the L object settings, such as aLmin object setting that is set lower than the Lmin object setting provided by the sorting device forthe (darker) colored seeds to be shot-out, or said modification of said L object settings with amodification of the S object settings, such as a Sminobject setting that is set lower than the Sminobject setting provided by the sorting device for the (darker) colored seeds to be shot-out (withthe Lmaxor Lmaxand Smaxbeing set at a value to shoot out a certain % of (darker) colored seeds),and wherein the H object setting is any H object range, including 354 ≤ H ≤ 45.In one embodiment, the amount of darker colored seeds, such as dark blue seed containing a3n blue aleurone, may also be reduced from non-colored or lighter-colored, such as 1n and / or2n blue aleurone seeds, by sorting out the darkest seeds (see above), e.g., by reducing the Lminand Smin (object setting) value of a recipe. The Lmin can be set at 0, or to a range from 0 to 60,specifically to a range from 0 to 50, more specifically to a range from 0 to 40, 0 to 30, 0 to 20, or 0 to 10, even more specifically to a range from 0 to 30 (including the end points, depending onthe darkness of a seed lot), and the Lmax (object) value from 78 to 120 or from 81 to 123 or from78 to 127 (on a 0-255 scale) depending on the percentage or amount (weight) of darker coloredseeds, such as 3n blue aleurone seeds, which is to be shot-out / removed and depending on thedarkness of a seed lot. The Smin can be set at 0, or to a range from 0 to 40, specifically to arange from 0 to 30, 0 to 20, 0 to 17 or 0 to 10, even more specifically to a range from 0 to 30 (in- cluding the end points, depending on the darkness of a seed lot), and the Smax (object) valuefrom 60 to 78 or from 60 to 99 depending on the percentage or amount of darker colored seeds,such as 3n blue aleurone seeds, which is to be removed and depending on the darkness of aseed lot (on a 0-255 scale). In this low L+S method, any one of the colored backlights describedherein can be used for removing / shooting out darker colored seed, such as 3n blue aleuroneseed, (including those referred to in Figures 4-9), such as any one of the colored backlights hav-ing a Hue value of 0, 20, 47, 71, 340 or 111, such as backlights having a Hue value of 0, 20, 47,71, or 111, more specifically a yellow or orange colored backlight having a H coordinate of 0 ≤ H≤ 111 or 20 ≤ H ≤ 70, an S coordinate of 0.25 ≤ S ≤ 1 and a L coordinate of 0.35 ≤ L ≤ 0.78. Inparticular, this backlight has a H coordinate of 20 or 71, an S coordinate of 1 and an L coordi- nate of 0.58. In one embodiment, in the low L+S method described herein (to shoot out darker colored, such as dark blue, seeds), the backlight may also be a white LED or a backlight with an L coordinate of L = 255 (white). In this method, the Lmin(object) value may be best 0, but canalso be raised up to 50 for dark seedlots and up to 60 for light seedlots, without significantly in-fluencing the percentage of dark blue seeds being shot out. Also, in this (low L+S) method toshoot out 3n blue aleurone seeds from blue seed batches, the Lmaxand Smaxdepends on the amount of 3n blue aleurone seeds to be removed. In this method, one will typically target a cer- tain % (by weight) of dark blue seeds to be shot-out, and by adapting the L and S settings, youget to the intended % seeds shot-out (e.g., when starting with a test batch of 1000 gram from alarger batch of mixed seeds having about 30 % dark blue seeds, and targeting a removal of 20 % of dark blue seeds, the L and S settings within the above ranges are adapted until the weightshot-out is about 200 gram – these L+S settings can then be used on the entire seed batch toremove most dark blue seeds). Generally, the low L+S method allows for a more precise adjust-ment to a specific amount of darker colored seeds to be shot-out compared to the low Lmethod, as the effect of the low L+S method comes from the interplay of the L and S object set-tings. The Hue object settings in this low L+S method can be from H ≥ 345 to H ≤ 45 or fromH ≥ 354 to H ≤ 54, or from H ≥ 354 to H ≤ 45, or from ≥ 345 to H ≤ 79, or can be any H coordi-nate comprising the range of H ≥ 354 and H ≤ 54 (on the 0-360 H scale). The above (low L+S)method to reduce the amount of dark blue 3n seeds in blue seed batches can e.g., be used in asecond or third sorting step after first sorting out the blue seeds (retaining white seeds), usingthe fraction shot-out from the earlier sorting step(s) as described above (e.g., in the DB Blue Shoot Out step as schematically shown in Figures 4-9, with the indicated preferred backlightHSL settings provided in the description of Figures 4-9).The % of dark (3n) blue aleurone seeds in a seed batch can be obtained by genotyping (e.g.,copy number analysis of BLA locus), but also in observation trials. In observation trials, theamount of plants only producing blue spikes can be measured, and from that the average % ofdark blue seeds in the next generation can be calculated (as it is expected that when grown in the same environment, a certain plant genotype will have the same or a similar male transmis-sion rate). Once the % of dark blue seeds is estimated, one can use the low L or low L+Smethod as described herein to sort-out a certain % of dark blue seeds from the blue seed frac-tion. The percentage shoot out should not exceed the percentage 3n blue aleurone seeds (dou-ble blue seeds) estimated to be in the seedlot.Also, the amount of dark colored seeds, such as blue aleurone 3n seeds, and non-colored“white” seeds may also be reduced from colored, such as blue, seed batches by shooting outthe lighter colored, such as the lighter blue (1n / 2n aleurone), seeds, and retaining the darkestblue and the “white” non-colored seeds (also referred to herein as the light blue (LB) shoot-outmethod). In this LB shoot-out method, the Lmin object setting for the light blue seed to be shotout can be: 96≤Lmin≤110, such as an Lminof 105, and the Sminobject setting can be: 55≤Smin≤75, such as 65 ≤ Smin ≤ 75, such as an Smin of 70, while the Lmax can be: 138-145, such as an Lmax of140, and the Smax can be: 95-255, such as an Smax of 120. In one embodiment of this LB shoot-out method, the Smin can be 65≤Smin≤75, and the Lmin can be 97≤Lmin≤110. In one embodimentof this light blue shoot-out method, the Smin object setting is from 55 to 62 (or 55 ≤ Smin ≤ 62),and the Smax is 98, and the Lmin is from 96 to 102 (or 96 ≤ Lmin ≤ 102), and the Lmax is 140 (on a0-255 scale). This (LB shoot-out) method to reduce the amount of dark colored (such as blue3n) and “white” seeds in colored (such as blue) seed batches can e.g., be used in a third sortingstep after first sorting out the colored (such as blue) seeds (retaining white seeds) in a first sort-ing step, and then shooting out the (3n aleurone) dark colored seeds from said colored seeds ina second sorting step, using the fraction retained in the second sorting step, as described above(e.g., see the LB Blue Shoot Out step schematically shown in some of Figures 4-9, with the indi-cated preferred backlight HSL settings provided in the description of Figures 4-9).The Hue object settings in this LB shoot-out method can be any Hue range including the rangeof H ≥ 354 and H ≤ 45, such as an H coordinate from H ≥ 345 to H ≤ 45 or from H ≥ 354 to H ≤54 (on the 0-360 H scale). Although the low L and certainly the low L+S methods are preferred,in some instances, this LB shoot-out method can also be used to shoot out darker colored, suchas 3n aleurone dark blue seeds, from a mostly colored, such as a mostly blue aleurone, seedbatch, in addition to or to replace the low L or low L+S methods above, and can also be used toshoot-out non-colored “white” seeds from a seed batch containing mostly colored seeds, suchas blue aleurone seeds, and some remaining “white” seeds (be it mostly at lower efficiency thanthe low L or low L+S methods herein). While it would be best to shoot-out all 3n aleurone dark blue seeds (that will only produce (fertile and blue) 3n blue aleurone progeny) from the maintainer / blue seeds in a hybrid system using blue aleurone as color marker (on the same chromosome or chromosome arm as the restorer gene that restores the male sterility used in the hybrid system), due to the overlap in color inten- sity of 2n and 3n Bla seeds, this could only be achieved with significant losses of maintainerseeds. In practice not all 3n blue seeds will be shot-out, as the goal is to minimize losses ofmaintainer seeds with 1n / 2n aleurone that can re-produce the male-sterile female lines used asparent line in a hybrid production. The major goal with regard to the removal of the 3n aleuroneseed is to optimize the efficiency of maintainer and white seed production and counteract therapid increase of 3n blue aleurone seeds. This means that any dark blue removal shoot out should result in a higher proportion of 1n / 2n aleurone seeds to 3n aleurone seeds.In one embodiment of the current invention, the colored seed to be shot-out may be a (darker)colored seed where the Hue object settings (when provided with different preferred backlightcolors as described herein) do not significantly change with other backlight colors (wherein asignificant change is that the H object settings provided by the sorting device with one backlight color (such as H object settings 180-240 for an H0 backlight) does not overlap with the H objectsetting provided by the sorting device with another backlight color (such as H object settings of30-92 for an H71 backlight), or that the majority of the H object setting range provided by thesorting device for one backlight color is outside the H object setting range provided by the sort-ing device for another backlight color). In one embodiment of the invention, the colored seed tobe shot-out may not be dark black seed.As another example, the method may comprise to sort out only the 1n and 2n blue aleuroneseeds from a mixture of 1n, 2n, 3n and white seeds. By shooting out the light blue seeds, theblue fraction may be depleted of white seeds and the darkest blue 3n bla seeds. The best back-light for such purpose may be a red backlight, in particular a backlight with a H coordinate of 0,a S coordinate of 1 and a L coordinate of 0.43, preferably using the modified object settings as in the above LB shoot out method. The backlight and / or the sorting settings may be individually optimized after harvest prior to per-forming a sorting campaign, e.g. by performing a test sorting to determine for that seed pro-duced in that environment the best colored backlight and the best sorting settings, specificallydepending on the purpose of sorting, e.g. for optimizing the amount of white non-colored seedswith no or little blue seed contaminants and / or optimizing the purity of colored seeds (like 1nand 2n BLA seeds) with no or little non-colored white seed contaminants and / or no or little darkblue (3n BLA seeds).Green colored background light may specifically be used for obtaining highest purity of whiteseeds, especially in less sorting rounds. It might be considered as the most stringent back-ground light, but may decrease the amount of white seed compared to e.g. red colored back-light. Red colored backlight may preferably be used for obtaining high purity of above 99 %, orabove 99.7 % while retaining most white seeds in the sorted seed fraction for particular seedlots. Yellow colored back light may preferably be used for particular genotypes with regard topurity and amount, and if highest purity is not required, may be the best backlight retaining mostwhite seeds across several genotypes compared to red or green colored backlight.As used herein, the terms “have”, “comprise” or “include” or any arbitrary grammatical variations thereof are used in a non-exclusive way. Thus, these terms may both refer to a situation in which, besides the feature introduced by these terms, no further features are present in the en- tity described in this context and to a situation in which one or more further features are present. As an example, the expressions “A has B”, “A comprises B” and “A includes B” may both refer to a situation in which, besides B, no other element is present in A (i.e. a situation in which A solely and exclusively consists of B) and to a situation in which, besides B, one or more further elements are present in entity A, such as element C, elements C and D or even further ele- ments. Further, it shall be noted that the terms “at least one”, “one or more” or similar expressions indi-cating that a feature or element may be present once or more than once typically are used onlyonce when introducing the respective feature or element. In most cases, when referring to the respective feature or element, the expressions “at least one” or “one or more” are not repeated,notwithstanding the fact that the respective feature or element may be present once or morethan once. Further, as used herein, the terms "preferably", "more preferably", "particularly", "more particu- larly", "specifically", "more specifically" or similar terms are used in conjunction with optional fea- tures, without restricting alternative possibilities. Thus, features introduced by these terms are optional features and are not intended to restrict the scope of the claims in any way. The inven- tion may, as the skilled person will recognize, be performed by using alternative features. Simi- larly, features introduced by "in an embodiment of the invention" or similar expressions are in- tended to be optional features, without any restriction regarding alternative embodiments of the invention, without any restrictions regarding the scope of the invention and without any re- striction regarding the possibility of combining the features introduced in such way with other optional or non-optional features of the invention. Summarizing and without excluding further possible embodiments, the following embodiments may be envisaged:Embodiment 1: A method of sorting cereal seeds, wherein the cereal seeds contain light-col-ored cereal seeds and / or non-colored cereal seeds, and colored seeds, specifically seedscontaining a blue aleurone, or wherein the cereal seeds contain darker and lighter colored seeds, specifically seeds containing a dark blue aleurone and seeds containing a light blue aleurone, the method comprising: i. supplying a seed stream to a sorting station, the sorting station comprising at leastone backlight device for backlighting a seed of the seed stream and at least one camera for taking at least one image of the backlighted seed; ii. taking, with the camera, at least one image of the backlighted seed of the seedstream; iii. automatically identifying, from the image taken in step ii., seeds to be sorted outfrom the seed stream; and iv. automatically ejecting seeds identified to be sorted out from the seed stream,wherein the at least one backlight, in the HSL color space, has a H coordinate of H ≤ 150or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80.Embodiment 2: The method according to the preceding embodiment, wherein, in step iii.,seeds to be sorted out from the seed stream are identified by identifying, in the image, ob- jects cumulatively fulfilling the following conditions: -the objects have predefined color coordinates, specifically color coordinates in apredefined range in the HSL color space, and -the objects have one or more of a predefined area, a predefined size, a predefineddiameter, a predefined equivalent diameter and a predefined shape.Embodiment 3: The method according to the preceding embodiment, wherein the identificationof the seeds to be sorted out comprises determining color coordinates and an area of the objects in the image, wherein -the objects are determined to have the predefined color coordinates if the deter-mined color coordinates are within a predefined range in the HSL color space; -the objects are determined to have the predefined area if the determined area ex-ceeds an area threshold.Embodiment 4: The method according to the preceding embodiment, wherein the predefinedrange, in the HSL color space, has a H coordinate from 0 to 85, specifically from 5 to 65 and / or from 19 to 79, a S coordinate from 15 to 85, specifically from 18 to 82 and / or from 19 to 83, a L coordinate from 60 to 150, specifically from 91 to 141 and / or from 66 to 130, wherein the area threshold is in the range of 200 to 1500 pixels, 400 to 1500 pixels, or 500 to 1000 pixels, specifically in the range of 600 to 850 pixels, more specifically in the range of 650 to 700, most specifically is 700 pixels.Embodiment 5: The method according to any one of the two preceding embodiments, whereinthe identification of the seeds to be sorted out comprises determining at least one recogni- tion parameter comprising weighting the color coordinates with the area of the objects inthe image, specifically by using a product of the color coordinates and the area of the ob-jects in the image.Embodiment 6: The method according to any one of the preceding embodiments, wherein theat least one backlight, in the HSL color space, has a H coordinate in at least one rangeselected from the group consisting of: -0 ≤ H < 25 or H ≥ 310, specifically excluding a range of 332 ≤ H ≤ 338;- 70 ≤ H ≤ 150;- 25 ≤ H ≤ 70.Embodiment 7: The method according to any one of the preceding embodiments, wherein theat least one backlight, in the HSL color space, has a S coordinate of 0.25 ≤ S ≤ 1.0, spe-cifically of 0.5 ≤ S ≤ 1.0, more specifically of 0.75 ≤ S ≤ 1.0.Embodiment 8: The method according to any one of the preceding embodiments, wherein theat least one backlight, in the HSL color space, has a S coordinate of 0.25 ≤ S ≤ 1.0 and aH coordinate of 25 ≤ H ≤ 70.Embodiment 9: The method according to the preceding embodiment, wherein the at least onebacklight, in the HSL color space, has a L coordinate of 0.35 ≤ L ≤ 0.78.Embodiment 10: The method according to any one of the preceding embodiments, wherein theat least one backlight, in the HSL color space, has a S coordinate of 0.33 ≤ S ≤ 1.0 and aH coordinate of 70 ≤ H ≤ 150.Embodiment 11: The method according to the preceding embodiment, wherein the at least onebacklight, in the HSL color space, has a L coordinate of 0.28 ≤ L ≤ 0.63.Embodiment 12: The method according to any one of the preceding embodiments, wherein theat least one backlight, in the HSL color space, has a S coordinate of 0.40 ≤ S ≤ 1.0 and aH coordinate of 25 ≤ H or H ≥ 310.Embodiment 13: The method according to the preceding embodiment, wherein the at least onebacklight, in the HSL color space, has a L coordinate of 0.13 ≤ L ≤ 0.78.Embodiment 14: The method according to any one of the preceding embodiments, wherein theat least one backlight, in the HSL color space, has a H coordinate of 111, a S coordinate of 1.0 and a L coordinate of 0.48.Embodiment 15: The method according to any one of the preceding embodiments, wherein theat least one backlight, in the HSL color space, has a H coordinate of 71, a S coordinate of 1.0 and a L coordinate of 0.48.Embodiment 16: The method according to any one of the preceding embodiments, wherein theat least one backlight, in the HSL color space, has a H coordinate of 340, a S coordinateof 0.75 and a L coordinate of 0.68.Embodiment 17: The method according to any one of the preceding embodiments, wherein theat least one backlight, in the HSL color space, has a H coordinate of 47, a S coordinate of 1.0 and a L coordinate of 0.59.Embodiment 18: The method according to the any one of the preceding embodiments, whereinthe seeds to be sorted out from the seed stream are the seeds containing a blue aleurone.Embodiment 19: The method according to anyone of the preceding embodiments, wherein themethod is a continuous method, wherein, in step i., a continuous seed stream is suppliedto the sorting station, wherein, in step ii., a continuous stream of images is taken of the seed stream, and, wherein, in step iii., the stream of images is continuously evaluated for continuously identifying seed to be sorted out from the seed stream.Embodiment 20: The method according to any one of the preceding embodiments, wherein abatch of seeds is provided, and wherein the batch of seeds is subjected to method stepsi.-iv. repeatedly, specifically at least twice, wherein, in each repetition, the batch is dimin- ished by the seeds ejected in step iv. of the previous run.Embodiment 21: The method according to any one of the preceding embodiments, wherein thecereal seeds comprise, specifically are, grains of wheat.Embodiment 22: The method according to any one of the preceding embodiments, wherein themethod comprises at least one backlight identification step, specifically at least one back- light identification step preceding step i., wherein the backlight identification step com- prises identifying the at least one backlight to be used for sorting.Embodiment 23: The method according to the preceding embodiment, wherein the backlightidentification step comprises performing a plurality of sortings with a plurality of backlights, each sorting comprises using an aliquot of the seeds to be sorted.Embodiment 24: The method according to the preceding embodiment, wherein the at least onebacklight is determined via at least one quality control step, the quality control step com- prising evaluating a purity of the sorting across the plurality of backlights, or comprisingevaluating a purity of the sorting and an amount of losses of desired seeds of the sorting across the plurality of backlights.Embodiment 25: The method according to any one of preceding embodiments, wherein, in stepiii., seeds to be sorted out from the seed stream are colored seeds.Embodiment 26: The method according to any one of the preceding embodiments, wherein themethod comprises performing steps i. to iv. with at least one first backlight, the first back- light, in the HSL color space, having a H coordinate of H ≤ 150 or H ≥ 310 and a L coordi- nate of 0.10 ≤ L ≤ 0.80, wherein the method further comprises repeating steps i. to iv. us- ing one of an ejected fraction of seeds or a retained fraction of seeds with at least one second backlight, the second backlight, in the HSL color space, having a H coordinate of H≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80, wherein the second backlight isdifferent from the first backlight.Embodiment 27: The method according to the preceding embodiment, wherein the first back-light is used for a first purpose of sorting cereal seeds.Embodiment 28: The method according to the preceding embodiment, wherein the first purposeof sorting cereal seeds comprises at least one purpose selected from the group consisting of: maximize yield of non-colored cereal seeds; maximize yield of colored cereal seeds; maximize purity of non-colored cereal seeds, specifically by removing of impurities, such as weed seeds, ergot-infected seeds and / or other plant parts; maximize purity of colored cereal seeds; reduce number of colored seeds in non-colored seeds; reduce number of non-colored seeds in colored seeds; maximize purity of non-colored seeds while reducing losses of non-colored seed; maximize purity of colored seeds while reducing losses of col-ored seed; or any combinations thereof; sorting out of dark blue aleurone seeds from amixture of seeds containing dark blue aleurone seeds and light blue aleurone seeds (with or without non-colored seeds in said mixture); sorting out of light blue aleurone seeds from a mixture of seeds containing dark blue aleurone seeds and light blue aleurone seeds (with or without non-colored seeds in said mixture); sorting out of dark blue aleurone seeds and light blue aleurone seeds from a mixture of seeds containing dark blue aleu- rone seeds, light blue aleurone seeds and non-colored seeds.Embodiment 29: The method according to any one of the two preceding embodiments, whereinthe second backlight is used for a second purpose of sorting cereal seeds.Embodiment 30: The method according to the preceding embodiment, wherein the second pur-pose of sorting cereal seeds comprises at least one purpose selected from the group con-sisting of: maximize yield of non-colored cereal seeds; maximize yield of colored cereal seeds; maximize purity of non-colored cereal seeds; maximize purity of colored cereal seeds; reduce number of colored seeds in non-colored seeds; reduce number of non-col- ored seeds in colored seeds; maximize purity of non-colored seeds while reducing losses of non-colored seed; maximize purity of colored seeds while reducing losses of coloredseed; or any combinations thereof; sorting out of dark blue aleurone seeds from a mixture of seeds containing dark blue aleurone seeds and light blue aleurone seeds (with or with- out non-colored seeds in said mixture); sorting out of light blue aleurone seeds from a mixture of seeds containing dark blue aleurone seeds and light blue aleurone seeds (with or without non-colored seeds in said mixture); sorting out of dark blue aleurone seeds and light blue aleurone seeds from a mixture of seeds containing dark blue aleurone seeds, light blue aleurone seeds and non-colored seeds.Embodiment 31: The method according to any one of the two preceding embodiments, whereinthe second purpose of sorting cereal seeds is different from a first purpose of sorting ce- real seeds.Embodiment 32: The method according to any one of the six preceding embodiments, whereina repetition of steps i. to iv. using one of the ejected fraction of seeds or the retained frac- tion of seeds comprises using a different sorting protocol compared to an initial sorting in step iii..Embodiment 33: The method according to any one of the seven preceding embodiments,wherein, in step iii., seeds to be sorted out from the seed stream are identified by identify- ing, in the image, objects having color coordinates of a predefined sorting protocol, specif- ically color coordinates in a predefined range in the HSL color space.Embodiment 34: The method according to the preceding embodiment, wherein the predefinedsorting protocol comprises at least one protocol selected from the group consisting of: a H coordinate comprising the range of 354≤H≤45 or the range of H ≥ 354 and H ≤ 54, an Scoordinate in the range of Smin≤S≤Smax wherein the Smin is 0 or 0≤Smin≤30, and a L coordi- nate in the range of Lmin≤L≤Lmax wherein the Lmin is 0 or 0≤Lmin≤30, and wherein the Lmax and Smaxare set so as to get a certain % of dark colored seeds shot-out, such as an Lmaxof 78≤Lmax≤127, and an Smaxof 60≤Smax≤99; a H coordinate comprising the range of 354≤ H≤45 or in the range of H ≥ 345 and H ≤ 79, an S coordinate in the range of Smin≤S≤Smaxwherein the Sminis 0 or 0≤Smin≤30, and a L coordinate in the range of Lmin≤L≤Lmaxwherein the Lminis 0 or 0≤Lmin≤30, and wherein the Lmaxand Smaxare set so as to get a certain % of dark colored seeds shot-out, such as an Lmax of 78≤Lmax≤127, and an Smax of 60≤Smax≤99; a H coordinate comprising the range of 354≤H≤45 or in the range of H ≥ 345 and H ≤ 45, a S coordinate in the range of Smin≤ S ≤ 98, wherein Sminis in the range of 55 ≤ Smin≤ 62 and a L coordinate in the range of Lmin≤ L ≤ 140, wherein Lminis in the range of 96 ≤ Lmin≤ 102; a H coordinate comprising the range of 354≤H≤45 or in the range of H ≥ 354 and H≤ 54, a S coordinate in the range of Smin≤ S ≤ 98, wherein Sminis in the range of 55 ≤ Smin≤ 62 and a L coordinate in the range of Lmin≤ L ≤ 140, wherein Lminis in the range of 96 ≤ Lmin ≤ 102; a combined protocol with first color coordinates comprising a H coordinate comprising the range of 354≤H≤45 or in the range of 19 ≤ H ≤ 79, a S coordinate in the range of 19 ≤ S ≤ 83, and a L coordinate in the range of 62 ≤ L ≤ 130, and with second color coordinates comprising a H coordinate comprising the range of of 354≤H≤45 or in the range of 5 ≤ H ≤ 65, a S coordinate in the range of 18 ≤ S ≤ 82, and a L coordinate in the range of 88 ≤ L ≤ 145; a H coordinate comprising the range of 354≤H≤45, a S coordi-nate in the range of 35 ≤ S ≤ 99, and a L coordinate in the range of Lmin≤L≤Lmaxwherein the Lmin is 0 or 0≤Lmin≤30 and wherein the Lmax is set so as to get a certain % shot-out, such as an Lmaxof 78≤Lmax≤127; a H coordinate comprising the range of 354≤H≤45, an S coordinate in the range of Smin≤S≤Smaxwherein the Sminis 0 or 0≤Smin≤30, and a L coordi- nate in the range of Lmin≤L≤Lmax wherein the Lmin is 0 or 0≤Lmin≤30, and wherein the Lmaxand Smax are set so as to get a certain % shot-out, such as an Lmax of 78≤Lmax≤127, and an Smaxof 60≤Smax≤99; a H coordinate comprising the range of 354≤H≤45, a L coordinate in the range of Lmin≤L≤Lmaxwherein the Lminis 96≤Lmin≤110, 96≤Lmin≤102 or 97≤Lmin≤110, such as an Lmin of 105, and the Lmax is 138≤Lmax≤145, such as an Lmax of 140, and an S co- ordinate in the range of Smin≤S≤Smaxwherein the Sminis 55≤Smin≤75, 55≤Smin≤62 or 65≤Smin≤75, such as an Sminof 70, and the Smaxis 95≤Smax≤255, such as an Smaxof 98 or 120; or said predefined sorting protocol may comprise at least one protocol with HSL ob- ject settings for the seeds to be ejected / shot-out, wherein the H object setting can be any H range, as long as it includes 354 ≤ H ≤ 45, such as a sorting protocol with H object set- tings for the seeds to be ejected / shot-out of any H range, but including the range of 354 ≤ H ≤ 45, the Sminand Smaxas provided by the sorting device for the seeds to be shot-out, and an Lmin of 0 or 0≤Lmin≤30 and an Lmax between 85 and 127.Embodiment 35: The method according to any one of the two preceding embodiments, whereinthe seeds to be sorted out are further identified by identifying objects in the image having one or more of a predefined area, a predefined size, a predefined diameter, a predefined equivalent diameter and a predefined shape.Embodiment 36: The method according to any one of the three preceding embodiments,wherein the seeds to be sorted out is further identified by identifying objects in the imagehaving a determined area exceeding an area threshold in the range of 200 to 1500 pixels, or in the range of 400 to 1000 or 500 to 1000 pixels, specifically in the range of 550 to 800 pixels, more specifically in the range of 700 to 800, most specifically is 200, 400, 600, 700 or 750 pixels.Embodiment 37: The method according to any one of the eleven preceding embodiments,wherein the method comprises separately repeating steps i. to iv. with the ejected fraction of seeds and the retained fraction of seeds.Embodiment 38: The method according to any one of the twelve preceding embodiments,wherein the steps i. to iv. are repeated using the retained fraction of seeds with the first backlight, wherein the steps i. to iv. are repeated using the ejected fraction of seeds with the second backlight.Embodiment 39: The method according to the preceding embodiment, wherein the first back-light, in the HSL color space, has at least one color selected from the group consisting of: a H coordinate of 340, a S coordinate of 192 and a L coordinate of 172; a H coordinate of 71, a S coordinate of 255 and a L coordinate of 123.Embodiment 40: The method according to any one of the two preceding embodiments, whereinthe second backlight, in the HSL color space, has at least one color selected from the group consisting of: a H coordinate of 20, a S coordinate of 255 and a L coordinate of 150;a H coordinate of 111, a S coordinate of 255 and a L coordinate of 123; a H coordinate of 0, a S coordinate of 250 and a L coordinate of 110.Embodiment 41: The method according to any one of the fifteen preceding embodiments,wherein the steps i. to iv. are repeated using the retained fraction of seeds with the sec-ond backlight, wherein the steps i. to iv. are repeated using the ejected fraction of seeds with a third backlight, the third backlight, in the HSL color space, having a H coordinate of H≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80, wherein the third backlight isdifferent from the first and second backlight.Embodiment 42: The method according to the preceding embodiment, wherein the first back-light, in the HSL color space, has a H coordinate of 0, a S coordinate of 255 and a L coor- dinate of 110, or has a H coordinate of 71, a S coordinate of 255 and a L coordinate of 123.Embodiment 43: The method according to any one of the two preceding embodiments, whereinthe second backlight, in the HSL color space, has at least one color selected from the group consisting of: a H coordinate of 340, a S coordinate of 192 and a L coordinate of 172; a H coordinate of 71, a S coordinate of 255 and a L coordinate of 123.Embodiment 44: The method according to the preceding embodiment, wherein any of the sec-ond backlights are used to repeat at least once the steps i. to iv. using the retained frac- tion of seeds.Embodiment 45: The method according to any one of the four preceding embodiments, whereinthe third backlight, in the HSL color space, has at least one color selected from the group consisting of: a H coordinate of 20, a S coordinate of 255 and a L coordinate of 150; a H coordinate of 0, a S coordinate of 255 and a L coordinate of 110; a H coordinate of 71, a S coordinate of 255 and a L coordinate of 123; a H coordinate of 111, a S coordinate of 255 and a L coordinate of 123.Embodiment 46: The method according to any one of the twenty preceding embodiments,wherein the steps i. to iv. are repeated using the retained fraction of seeds with the sec-ond backlight, wherein the steps i. to iv. are repeated using the ejected fraction of seeds with the first backlight.Embodiment 47: The method according to any one of the twenty-one preceding embodiments,further comprising repeating steps i. to iv. with a retained or an ejected fraction of seedsfrom a repetition of steps. i. to iv. using the ejected fraction of seeds, wherein the further repetition uses a fourth backlight, the fourth backlight, in the HSL color space, having a H coordinate of H ≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80, wherein the fourthbacklight is different from the first and / or second backlight.Embodiment 48: The method according to the preceding embodiment, wherein the fourth back-light, in the HSL color space, has at least one color selected from the group consisting of: a H coordinate of 20, a S coordinate of 255 and a L coordinate of 150; a H coordinate of 0, a S coordinate of 255 and a L coordinate of 110; a H coordinate of 71, a S coordinate of 255 and a L coordinate of 123; a H coordinate of 340, a S coordinate of 192 and a L coor-dinate of 172; a H coordinate of 111, a S coordinate of 255 and a L coordinate of 123.Embodiment 49: The method according to any one of the twenty-three preceding embodi-ments, wherein a fraction of ejected and / or retained seeds comprising, specifically con- sisting of, non-colored cereal seeds is added to a repetition of steps i. to iv. using the re- tained fraction of seeds.Embodiment 50: The method according to any one of the twenty-four preceding embodiments,wherein the repetition of steps i. to iv. using the using the retained fraction of seeds is re-peated at least twice.Embodiment 51: The method according to anyone of the preceding embodiments, wherein atleast step iii., and optionally at least one of steps ii. and iv., are at least one of computer-implemented and computer-controlled.Embodiment 52: The method according to anyone of the preceding embodiments, wherein, instep iii., seeds to be sorted out from the seed stream are identified by a trained artificial neural network (ANN).Embodiment 53: The method according to the preceding embodiment, further comprising atleast one training step, wherein, in the training step, the ANN is trained using labeled im- ages.Embodiment 54: The method according to the any one of the two preceding embodiments,wherein the labeled image comprises genotyping data, wherein the genotyping data pro- vide information on seeds having a normal (non-colored) aleurone and cereal seeds con- taining a blue aleurone, or provide information on cereal seeds containing a 1n, 2n or 3n blue aleurone.Embodiment 55: The method according to any one of the preceding embodiments, wherein themethod further comprises at least one second spectral seed sorting step, wherein the sec- ond spectral seed sorting step comprises determining at least one item of spectroscopic information on the seeds of the seed stream, such as near infrared spectroscopic infor- mation, wherein the at least one item of spectroscopic information is used for automati- cally identifying seeds to be sorted out from the seed stream.Embodiment 56: The method according to the preceding embodiment, wherein a trained artifi-cial neural network automatically identifies seeds to be sorted out from the seed streambased on the at least one item of spectroscopic information.Embodiment 57: The method according to the preceding embodiment, further comprising atleast one training step, wherein, in the training step, the ANN is trained using labeled spectroscopic information.Embodiment 58: The method according to the any one of the two preceding embodiments,wherein the labeled spectroscopic information comprises genotyping data, wherein the genotyping data provide information on seeds having a normal (non-colored) aleurone and cereal seeds containing a blue aleurone, or provide information on cereal seeds con- taining a 1n, 2n or 3n blue aleurone.Embodiment 59: A sorting device for sorting cereal seeds, comprising:I. at least one seed feeder for supplying a seed stream to at least one sorting station;and II. the at least one sorting station, comprising at least one backlight device for back-lighting seeds of the seed stream, the sorting station further comprising at least one camera for taking at least one image of the backlighted seed, and the sorting station further comprising at least one ejector for ejecting seeds from the seed stream, wherein the sorting device is configured for performing the method according to any one of the preceding embodiments.Embodiment 60: The sorting device according to the preceding embodiment, further comprisingat least one controller, wherein the controller is configured for performing at least step iii.of the method, and wherein, optionally, the controller further is configured for controlling at least one of steps ii. and iv. of the method.Embodiment 61: The sorting device according to any one of the preceding embodiments refer-ring to a sorting device, further comprising at least one target chute and at least one sort-out chute, wherein the seeds ejected in step iv. are collected by the sort-out chute andwherein the remaining seed stream is collected by the target chute.Embodiment 62: The sorting device according to any one of the preceding embodiments refer-ring to a sorting device, wherein the sorting station comprises at least two cameras, thecameras being configured for taking images of the backlighted seed from different angles in space.Embodiment 63: The sorting device according to the preceding embodiment, wherein the sort-ing station further comprises at least two backlight devices, each backlight device beingassigned to a camera of the at least two cameras.Embodiment 64: The sorting device according to any one of the two preceding embodiments,wherein the cameras are configured for taking images of the backlighted seed from op- posing directions.Embodiment 65: The sorting device according to any one of the preceding embodiments refer-ring to a sorting device, wherein the sorting station is configured such that the seed stream passes the sorting station between the backlight device and the camera.Embodiment 66: The sorting device according to any one of the preceding embodiments refer-ring to a sorting device, wherein the ejector comprises at least one of a mechanical ejectorhaving at least one mechanical actor and a pneumatic ejector having at least one nozzle for directing an air jet at the seed to be sorted out from the seed stream.Embodiment 67: A computer program comprising instructions which, when the program is exe-cuted by the sorting device according to any one of the preceding embodiments referringto a sorting device, specifically by the controller of the sorting device, causes the sorting device to perform at least step iii. of the method according to any one of the precedingembodiments referring to a method, and, optionally, at least one of steps ii. and iv. of themethod.Embodiment 68: A computer-readable storage medium, specifically a non-transient computerreadable medium, comprising instructions which, when the instructions are executed by the sorting device according to any one of the preceding embodiments referring to a sort-ing device, specifically by the controller of the sorting device, cause the sorting device to perform at least step iii. of the method according to any one of the preceding embodi- ments referring to a method, and, optionally, at least one of steps ii. and iv. of the method.Embodiment 69: A use of the sorting device according to any one of the preceding em-bodiments referring to a sorting device for a purpose of use, selected from the groupconsisting of: sorting out of colored seeds from a mixture of seeds containing non-col- ored seeds and colored seeds; sorting out of dark colored seeds from a mixture of seeds containing dark colored seeds and lighter colored seeds (with or without non-colored seeds in said mixture); sorting out of lighter colored seeds from a mixture of seeds con- taining dark colored seeds and lighter colored seeds, which mixture may contain non-colored seeds; sorting out of dark colored seeds and lighter colored seeds from a mix- ture of seeds containing dark colored seeds, lighter colored seeds and non-colored seeds; sorting out of colored cereal seeds from a mixture of cereal seeds containingnon-colored cereal seeds and colored cereal seeds; sorting out of colored cereal seeds containing a blue aleurone from a mixture of cereal seeds containing non-colored cereal seeds and cereal seeds containing a blue aleurone; sorting out of dark blue aleuroneseeds from a mixture of seeds containing dark blue aleurone seeds and light blue aleu- rone seeds (with or without non-colored seeds in said mixture); sorting out of light blue aleurone seeds from a mixture of seeds containing dark blue aleurone seeds and lightblue aleurone seeds (with or without non-colored seeds in said mixture); sorting out of dark blue aleurone seeds and light blue aleurone seeds from a mixture of seeds contain- ing dark blue aleurone seeds, light blue aleurone seeds and non-colored seeds; sorting out of colored cereal seeds containing a blue aleurone from a mixture of cereal seeds containing non-colored cereal seeds and cereal seeds containing a blue aleurone using at least one backlight having, in the HSL color space, a H coordinate of 70 ≤ H ≤ 150;sorting out of colored cereal seeds containing a blue aleurone from a mixture of cereal seeds containing non-colored cereal seeds and cereal seeds containing a blue aleuroneusing at least one backlight having, in the HSL color space, a H coordinate of 25 ≤ H ≤70; sorting out of colored cereal seeds containing a blue aleurone from a mixture of ce-real seeds containing non-colored cereal seeds and cereal seeds containing a blue aleu- rone using at least one backlight having, in the HSL color space, a H coordinate of 0 ≤ H< 25 or H ≥ 310.Embodiment 70: The method according to any one of the preceding embodiments referring to amethod, for sorting out the dark and lighter colored seeds from a seed mixture containingdark and lighter colored seeds and non-colored seeds, such as a mixture of blue aleuroneseeds and non-colored seeds, wherein the sorting protocol uses a combination of the HSL object settings for the dark colored seed and the HSL object settings for the lighter colored seed as can be provided by the sorting device, such as by sorting out dark and light bluealeurone seeds from a mixture containing dark and light blue aleurone seeds and non-col- ored seeds, by sorting out : (1) objects in the image having a H coordinate of 5≤H≤65, aS coordinate of 18≤S82, an L coordinate of 88≤L≤145 and a size of 200-1500, or 400-1000, or at least 700 pixels and (2) objects in the image having a H coordinate of 19≤H≤79, a S coordinate of 19≤S≤83 and a L coordinate of 62≤L≤130 and a size of 200-1500, or 400-1000, or at least 700 pixels, or said objects in the image have a H coor-dinate in (1) and (2) comprising the range of 354≤H≤45, preferably using an HSL back- light setting with a Hue value of 340, 71 or 0, which method can be performed once or can be repeated several times, such as repeating 1-3 times, to maximize non-colored seedpurity.Embodiment 71: The method according to any one of the preceding embodiments referring to amethod, wherein the object settings as provided by the sorting device for the coloredseeds to be sorted-out, such as dark blue aleurone seeds or light blue aleurone seeds,are modified by adapting the L object settings or by adapting the S and L object settings to increase the amount of colored seeds sorted out, and wherein the H object setting is any H range comprising 354≤H≤45.Embodiment 72: The method according to any one of the preceding embodiments referring to amethod, wherein the amount of dark colored seed in a batch of dark and light coloredseed, such as the amount of dark blue seed containing a 3n blue aleurone in a batch ofblue aleurone seeds, is reduced by reducing the Lmin object setting values of a recipe, such as an Lminof 0 or 0≤Lmin≤60 or 0≤Lmin≤30, wherein the Lmaxis set so as to get a cer- tain % or amount of dark colored seed shot-out, such as with an Lmax of 78≤Lmax≤127, de-pending on the % or amount of dark colored seed, such as 3n blue aleurone seed, which is to be removed and depending on the darkness of a seed lot, and such a method wherein the backlight is as described in any of the preceding embodiment, or is a white LED backlight or a backlight with an L coordinate of L = 255 (white)..Embodiment 73: The method according to the preceding embodiment, wherein the Lmax de-pends on the amount of dark colored seed, such as dark blue seed containing a 3n blue aleurone, to be removed, and wherein the Lmaxfor a 10% dark colored seed shoot-out is 77 ≤ L ≤ 87, for a 15% dark colored seed shoot-out is 79 ≤ L ≤ 95, for a 20% dark coloredseed shoot-out is 81 ≤ L ≤ 100, for a 30% dark colored shoot-out is 84 ≤ L ≤ 103, for a40% dark colored shoot-out is 87 ≤ L ≤ 107, and for a 50% dark colored seed shoot-out is91 ≤ L ≤ 110.Embodiment 74: The method according to any one of the preceding embodiments referring to amethod, wherein the amount of dark colored seed, such as dark blue seed containing a 3nblue aleurone in a batch of blue aleurone seeds, is reduced by reducing the Lmin and Smin object setting values of a recipe, such as an Lmin of 0, or 0≤Lmin≤60, or 0≤Lmin≤30, and an Sminof 0, or 0≤Smin≤40, or 0≤Smin≤30, such as with an Lmaxof 78≤Lmax≤120 or 81≤Lmax≤123, or 78≤Lmax≤127, and / or an Smaxof 60≤Smax≤78 or 60≤Smax≤ 99 depending on the % or amount of dark seeds, such as 3n blue aleurone seeds, which is to be re- moved and depending on the darkness of a seed lot, and such a method wherein the backlight is as described in any of the preceding embodiment, or is a white LED backlight or a backlight with an L coordinate of L = 255 (white)..Embodiment 75: The method according to any one of the preceding embodiments referring to amethod, wherein the amount of dark colored seed, such as dark blue seed containing a 3nblue aleurone in a batch of blue aleurone seeds, is reduced by shooting out the lighter col- ored seeds, such as the light blue 1n or 2n blue aleurone seeds, and retaining the darkest colored and the non-colored seeds, by using the HSL backlights in a sorting protocol with the following object settings : an Lmin of 96≤Lmin≤110, an Smin of 55≤Smin≤75, such as 65 ≤ Smin≤ 75, such as wherein the Lmaxis 138≤Lmax≤145, and the Smaxis 95≤Smax≤255.Embodiment 76: The method according to any one of the preceding embodiments referring to amethod, wherein the sorting method is combined with, preceded by or followed by anothersorting method using visual and / or infrared spectral analysis, specifically near-infrared spectral analysis, and / or UV spectral analysis, and / or spectral analysis using x-rays, and / or spectral analysis using Raman scattering, with or without using a trained neural network to improve sorting efficiency, e.g. to shoot out non-colored seeds from a mixture of colored and non-colored seeds.Embodiment 77: The method or use according to any one of the preceding embodiments refer-ring to a method, wherein with the HSL coordinates for the at least one backlight, such as either yellow, orange, red and / or green backlight, the purity of the non-colored seed that isretained, such as when sorting a mixture of blue aleurone seed and non-colored seed, isat least 99 %, specifically at least 99.7 %, more specifically that purity is obtained by re- peated shoot-outs, in particular when repeating the sorting for two or three times, such as wherein said purity can be determined by genotyping the seeds for absence of the blue aleurone locus.Embodiment 78: The method or use according to the preceding embodiment, wherein theamount of losses of the non-colored seed that is ejected during the sorting to achieve thatpurity, such as when sorting a mixture of blue aleurone seed and non-colored seed, is less than 35 %, less than 30 %, less than 25 %, less than 20 %, less than 15 %, less than 10%, or less than 5 %.Embodiment 79: The method according to any one of the preceding embodiments referring to amethod, wherein with the HSL coordinates for the at least one backlight, such as either yellow, orange, red and / or green backlight, the % non-colored seeds in the colored seed, such as the blue aleurone seed, that is obtained, is less than 10 %, specifically less than 5%, more specifically that purity is obtained when repeating the sorting, in particular when repeating the sorting for two or three times.Embodiment 80: The method according to any one of the preceding embodiments referring to amethod, wherein any given HSL coordinate for the at least one backlight, in the HSL colorspace, includes any given H coordinate + / - 3 (in the 0-360 H scale), includes any given Scoordinate + / - 15 (in the 0-255 S scale), and / or includes any given L coordinate + / - 5 (inthe 0-255 L scale).Embodiment 81: The method according to any one of the preceding embodiments referring to amethod, wherein the cereal seeds contain light-colored cereal seeds and dark-colored ce- real seeds, or non-colored cereal seeds and colored seeds.Short description of the Figures Further optional features and embodiments will be disclosed in more detail in the subsequent description of embodiments, preferably in conjunction with the dependent claims. Therein, the respective optional features may be realized in an isolated fashion as well as in any arbitrary feasible combination, as the skilled person will realize. The scope of the invention is not re-stricted by the preferred embodiments. The embodiments are schematically depicted in the Fig-ures. Therein, identical reference numbers in these Figures refer to identical or functionally comparable elements. In the Figures:Figure 1 shows an embodiment of a sorting device for sorting cereal seeds in aside cut view;Figure 2 shows a flow chart of an embodiment of a method of sorting cerealseeds;Figures 3A and 3B show exemplary results of the method of sorting cereal seeds;Figures 4 to 9 show different embodiments of a method of sorting cereal seeds; andFigure 10 shows a graphical representation of the average distribution of the 3 dif-ferent fractions of blue seeds within a blue fraction of segregating spikes according to genotypic and color sorting results. Detailed description of the embodimentsFigure 1 shows an exemplary embodiment of a sorting device 110 for sorting cereal seeds 112in a side cut view. The cereal seeds 112 contain non-colored cereal seeds 114 and seeds con-taining a blue aleurone 116. For example, the cereal seeds 112 may be wheat seeds.The sorting device 110 comprises at least one seed feeder 118 for supplying a seed stream 120to at least one sorting station 122. As shown in Figure 1, in this exemplary embodiment, theseed feeder 118 may comprise at least one feed hopper 124 configured for receiving a plurality of seeds 112 and for providing the seeds 112 to at least one chute 126 in a controllable fashion. The seed feeder 118 may further comprise at least one vibratory feeder 128 configured applying vibrations to the feed hopper 124 such that seeds 112 comprised therein may leave the feed hopper 124 to the at least one chute 126.Further, the sorting device 110 comprises the at least one sorting station 122. The sorting sta-tion 122 comprises at least one backlight device 130 for backlighting seeds 112 of the seedstream 120. The sorting station further comprises at least one camera 132 for taking at leastone image of the backlighted seed. As can be seen in Figure 1, the sorting station 122 may beconfigured such that the seed stream 120 passes the sorting station 122 between the backlightdevice 130 and the camera 130. Further, as shown in Figure 1, the sorting station 122 maycomprise at least one front light device 131 for illuminating the seed stream 120 on a front side.The sorting station may comprise two, four or even more front light devices 131. The front lightdevice 131 may comprise a white LED. Further, in the exemplary embodiment of Figure 1, the sorting station 122 may comprise at leasttwo cameras 132. The cameras 132 may be configured for taking images of the backlightedseed from different angles in space. The sorting station 122 may further comprise at least twobacklight devices 130. Each backlight device 130 may be assigned to a camera 132 of the atleast two cameras 132. The cameras 132 may be configured for taking images of the back-lighted seed from opposing directions. For example, the sorting station 122 may comprise atleast one first backlight device 134 assigned to at least one first camera 136. The first backlightdevice 134 may be arranged on a first side 138 with respect to the seed stream 120. The firstcamera 136 may be arranged on a second side 140 opposing the first side 138 with respect tothe seed stream 120. Further, the sorting station 122 may comprise at least one second back-light device 142 and at least one second camera 144. The second backlight device 142 may be arranged on the second side 140 and the second camera 144 may be arranged on the first side 138. The sorting station 122 further comprises at least one ejector 146 for ejecting seeds 112 fromthe seed stream 120. The ejector may comprise a pneumatic ejector 148 having at least onenozzle for directing an air jet at the seed to be sorted out from the seed stream 120. For exam-ple, the ejector 146 may comprise the at least one pneumatic ejector 148 configured for ejectingthe seed to be sorted out from the seed stream 120 by using compressed air directed via noz- zles to separate the seed to be sorted out from the seed stream 120.The sorting device 110 may further comprise at least one target chute 150 and at least one sort-out chute 152. In this example, the seeds to be sorted out may comprise the seeds containing ablue aleurone 116. The seeds ejected by the ejector 146 may be collected by the sort-out chute152. The remaining seed stream may be collected by the target chute 150. The sorting station122, specifically the ejector 146, may be configured for separating the seeds 112 from the seedstream into the sort-out chute 152 in case the seeds 112 are identified as seeds to be sorted out. The sorting device 110 may be configured such that seeds 112 from the seed stream 120 which are not identified as seeds to be sorted out may pass the sorting station 122 towards thetarget chute 150.The sorting device 110 may further comprise at least one controller 154. As shown in Figure, 1,the controller 154 may be configured for communicating, e.g. via wireless and / or wired means, with other devices of the sorting device 110, e.g. with the seed feeder 118 and / or with the sort- ing station 122. The sorting device 110 is configured for performing the method according to the present inven- tion, such as according to the exemplary embodiment of Figure 2 and / or according to any other embodiment disclosed herein. Thus, for a description of the method, reference is made to the description of Figure 2.Figure 2 shows a flow chart of an embodiment of a method of sorting cereal seeds 112. The ce-real seeds 112 contain non-colored cereal seeds 114 and colored seeds, specifically seedscontaining a blue aleurone 116. In this exemplary embodiment, the seeds to be sorted out fromthe seed stream 120 may specifically be the seeds containing a blue aleurone 116. The methodmay further comprise using a sorting device 110, e.g. the exemplary embodiment of the sorting device 110 shown in Figure 1. The method comprises the following steps that may be performed in the given order. However, a different order may also be possible. In particular, one, more than one or even all of themethod steps may be performed once or repeatedly. Further, the method steps may be per-formed successively or, alternatively, one or more of the method steps may be performed in atimely overlapping fashion or even in a parallel fashion and / or in a combined fashion. Themethod may further comprise additional method steps that are not listed.The method comprises:i. (denoted by reference number 156) supplying the seed stream 120 to the sorting station122, the sorting station 122 comprising the at least one backlight device 130 for backlight- ing a seed 112 of the seed stream 120 and the at least one camera 132 for taking at least one image of the backlighted seed;ii. (denoted by reference number 158) taking, with the camera 132, at least one image of thebacklighted seed of the seed stream 120;iii. (denoted by reference number 160) automatically identifying, from the image taken in stepii., seeds to be sorted out from the seed stream 120; andiv. (denoted by reference number 162) automatically ejecting seeds identified to be sortedout from the seed stream 120,wherein the at least one backlight, in the HSL color space, has a H coordinate of H ≤ 150 or H ≥310 and a L coordinate of 0.10 ≤ L ≤ 0.80.The at least one backlight, in the HSL color space, may specifically have a H coordinate in at least one range selected from the group consisting of:- 0 ≤ H < 25 or H ≥ 310, specifically excluding a range of 332 ≤ H ≤ 338;- 70 ≤ H ≤ 150;- 25 ≤ H ≤ 70.Specifically, the H coordinate in the range 0 ≤ H < 25 or H ≥ 310 may comprise red backlight.The H coordinate in the range 70 ≤ H ≤ 150 may comprise green backlight. The H coordinate inthe range 25 ≤ H ≤ 70 may comprise yellow backlight. The at least one backlight, in the HSLcolor space, may have a S coordinate of 0.25 ≤ S ≤ 1.0, specifically of 0.5 ≤ S ≤ 1.0, more spe-cifically of 0.75 ≤ S ≤ 1.0.In step iii., seeds to be sorted out from the seed stream 120 may be identified by identifying, in the image, objects cumulatively fulfilling the following conditions:- the objects have predefined color coordinates, specifically color coordinates in a prede-fined range in the HSL color space, and- the objects have one or more of a predefined area, a predefined size, a predefined diame-ter, a predefined equivalent diameter and a predefined shape. Specifically, the identification of the seeds to be sorted out may comprise determining color co- ordinates and an area of the objects in the image, wherein- the objects are determined to have the predefined color coordinates if the determinedcolor coordinates are within a predefined range in the HSL color space;- the objects are determined to have the predefined area if the determined area exceeds anarea threshold.Further, the method may specifically be a continuous method. Specifically, the continuousmethod of sorting cereal seeds 112 may comprise performing the methods steps repeatedly and at least partially overlapping in time. In step i., a continuous seed stream may be suppliedto the sorting station 122. In step ii., a continuous stream of images may be taken of the seedstream 120. In step iii., the stream of images may be continuously evaluated for continuouslyidentifying seed to be sorted out from the seed stream 120.For example, in the method, a batch of seeds may be provided. The batch of seeds may besubjected to method steps i.-iv. repeatedly, specifically at least twice. In each repetition, thebatch may be diminished by the seeds ejected in step iv. of the previous run. Thus, by repeatingperforming method steps i.-iv. on the batch of seeds, the purity of seeds passing the sorting sta- tion may be enhanced.Figures 3A and 3B show exemplary results of the method of sorting cereal seeds 112. Specifi-cally, Figures 3A and 3B show the exemplary results of the method of sorting cereal seeds 112as obtained in Example 1, which will be described in further detail below. For a detailed descrip-tion of this example, reference is made to the description of Example 1.Figure 3A shows a polar plot of the HSL color space, wherein the H coordinate is shown as theangle 164 around the center of the polar plot with H ∈ [0, 360) and the L coordinate is shown inrelative terms as the distance from the center with L ∈ [0,1]. In Figure 3A, the H and S coordi-nates of the backlight which were found in Example 1 to achieve highest relative purity in sortingout seeds containing a blue aleurone 116 are highlighted by boxes 168. As can be seen in Fig- ure 3A, backlight having a H coordinate in between the borders at H=150 and at H=310 may besuitable backlight, excluding for a range of 332 ≤ H ≤ 338. Best performing backlight colors mayspecifically comprise at least one of the following: a yellow backlight having a H coordinate of 47, a S coordinate of 1.0 and a L coordinate of 0.59; a green backlight having a H coordinate of 111, a S coordinate of 1.0 and a L coordinate of 0.48; a green backlight having a H coordinateof 71, a S coordinate of 1.0 and a L coordinate of 0.48; a red backlight having a H coordinate of340, a S coordinate of 0.75 and a L coordinate of 0.68. These suitable backlight intervals are shown in Figure 3B in more detail. Specifically, Figure 3B shows a diagram of the highlighted backlight colors of Figures 3A. The diagram of Figure 3A shows the L coordinate of the backlight on the x axis 170, both in relative and absolute terms, and the H coordinate of the backlight on the y axis 172. Additionally, in the diagram of Figure 3B, the RBG values corresponding to the respective HSL values are indi- cated on the y axis 172.Figures 4 to 9 show different embodiments of a method of sorting cereal seeds. Therein, amixed fraction of cereal seeds 200 comprising, specifically consisting of, non-colored cerealseeds 114 and seeds containing a blue aleurone 116 may be sorted. The embodiments shownin Figures 4 to 9 may specifically comprise performing steps i. to iv. with at least one first back-light 202, the first backlight 202, in the HSL color space, having a H coordinate of H ≤ 150 orH ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80, and further repeating steps i. to iv. using one ofan ejected fraction of seeds 204 or a retained fraction of seeds 206 with at least one secondbacklight 208, the second backlight 208, in the HSL color space, having a H coordinate of H ≤150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80, wherein the second backlight 208 is dif-ferent from the first backlight 202. In Figures 4 to 9, each box with crossing arrows represents asingle round of sorting by performing steps i. to iv. with the specific backlight color, wherein thethick arrow represents a stream of the retained fraction of seeds 206 and the thin arrow repre-sents a stream of the ejected fraction of seeds 208. In Figs.4-9, the blue aleurone seed 116can be 3n blue aleurone seed (dark blue color, disomic embryo) as indicated by the drawing of a seed with horizontal bars, or can be 2n blue aleurone seed (blue color, monosomic) as indi- cated by the drawing of a seed with black dots, or can be 1n blue aleurone seed (light blue, monosomic) as indicated by the drawing of a seed with sloping bars (non-colored seed 114 is indicated by the drawing of a seed with no bars or dots (white surface)). In the embodiments of Figures 4 to 7, the steps i. to iv. may be repeated using the retained frac-tion of seeds 206 with the first backlight 202, wherein the steps i. to iv. may be repeated usingthe ejected fraction of seeds 204 with the second backlight 208. In Figs.4-9, the first sortingstep and the further sorting steps in the triangle at the left of each Figure represent the sortingsteps in the non-colored (such as “white” male-sterile seed lacking a blue aleurone) seedstream (where the intent is to get purer non-colored seeds (reducing / removing colored, such asblue aleurone, seeds)), and the first sorting step and the further sorting steps in the triangle at the right of each Figure represent the sorting steps in the colored (such as fertile seed having ablue aleurone) seed stream (where the intent is to get purer colored seeds (reducing / removingnon-colored, and dark blue 3n blue aleurone seeds)). The numbers 1, 2, 3 and 4 in a circle inFigs.4-9 refer to the sorting rounds. Figure 4 shows a first embodiment of a method of sorting cereal seeds with repeating steps i. to iv.. In this exemplary embodiment, a first round of sorting 210 may be performed on the mixedfraction of cereal seeds 200 with the first backlight 202 having, in the HSL color space, a H co-ordinate of 340, a S coordinate of 192 and a L coordinate of 172. For this first round of sorting 210, in step iii., seeds to be sorted out from the seed stream may be identified by identifying, in the image, objects having color coordinates of a predefined sorting protocol, specifically color coordinates in a predefined range in the HSL color space. For example, the predefined sorting protocol may comprise a combined protocol with first color coordinates comprising a H coordi- nate in the range of 19 ≤ H ≤ 79, a S coordinate in the range of 19 ≤ S ≤ 83, and a L coordinatein the range of 62 ≤ L ≤ 130, and with second color coordinates comprising a H coordinate inthe range of 5 ≤ H ≤ 65, a S coordinate in the range of 18 ≤ S ≤ 82, and a L coordinate in the range of 88 ≤ L ≤ 145. As can be seen in Figure 4, the method may comprise repeating steps i. to. iv. at least once, preferably twice, more preferably three times, with the retained fraction ofseeds 206 and the first backlight 202 and the combined sorting protocol in a second round ofsorting 212 to obtain a fraction of sterile white seeds of high purity of above 99 %. The ejected fraction of seeds 204 in the second round of sorting 212 may be a waste fraction of cereal seeds 214. Further, the embodiment of Figure 4 may further comprise a third round of sorting 216 with the ejected fraction of seeds 204 from the first round of sorting 210. The third round of sorting 216 may comprise using the second backlight 208 having, in the HSL color space, a H coordinate of 20, a S coordinate of 255 and a L coordinate of 150. Further, for this third round of sorting 216, in step iii., seeds to be sorted out from the seed stream may be identified by identifying, in theimage, objects having color coordinates of a predefined sorting protocol, specifically color coor-dinates in a predefined range in the HSL color space. For example, the predefined sorting pro-tocol may comprise a H coordinate in the range of H ≥ 354 and H ≤ 45, a L coordinate in therange of Lmin≤L≤Lmax wherein the Lmin is 0 or 0≤Lmin≤30, and wherein the Lmax is set so as to geta certain % of dark colored seeds shot-out, such as an Lmax of 78≤Lmax≤127 (the S coordinate isas provided by the sorting device for the dark colored seeds to be sorted out), or may comprisea H coordinate in the range of H ≥ 354 and H ≤ 45, an S coordinate in the range of Smin≤S≤Smaxwherein the Smin is 0 or 0≤Smin≤30, and a L coordinate in the range of Lmin≤L≤Lmax wherein theLmin is 0 or 0≤Lmin≤30, and wherein the Lmax and Smax are set so as to get a certain % of dark col-ored seeds shot-out, such as an Lmax of 78≤Lmax≤127, and an Smax of 60≤Smax≤99. The ejectedfraction of seeds 204 of the third round of sorting 216 may be part of the waste fraction of cereal seeds 214. The retained fraction of seeds 206 of the third round of sorting 216 may be used for a further, fourth round of sorting 218, wherein, for the fourth round of sorting 218 the second backlight 208 and a further predefined sorting protocol may be used. In the fourth round of sort- ing 218, the predefined sorting protocol may have, in the HSL space, a H coordinate comprising the range of H ≥ 354 and H ≤ 45, a L coordinate in the range of Lmin≤L≤Lmaxwherein the Lminis 96≤Lmin≤110, such as an Lminof 105, and the Lmaxis 138≤Lmax≤145, such as an Lmaxof 140, and an S coordinate in the range of Smin≤S≤Smax wherein the Smin is 55≤Smin≤75, such as 65 ≤ Smin ≤75, such as an Smin of 70, and the Smax is 95≤Smax≤255, such as an Smax of 98 or 120. The re-tained fraction of cereal seeds 206 of the fourth round of sorting 218 may be part of the waste fraction of cereal seeds 214. The ejected fraction of seeds 204 of the fourth round of sorting 218may provide a maintainer fraction of cereal seeds with a high purity of above 95 % of seedscontaining a blue aleurone 116. Figure 5 shows a second embodiment of a method of sorting cereal seeds with repeating stepsi. to iv.. The embodiment of Figure 5 widely corresponds to the embodiment of Figure 4. Thus,for a detailed description thereof, reference is made to the description of Figure 4. However, in this exemplary embodiment, the first backlight 202 in the first round of sorting 210 and in the second round of sorting 212 may have, in the HSL color space, a H coordinate of 71, a S coor- dinate of 255 and a L coordinate of 123.Figures 6 and 7 show a third and a fourth embodiment of a method of sorting cereal seeds withrepeating steps i. to iv.. The embodiments of Figures 6 and 7 widely correspond to the embodi-ment of Figures 4 and 5, respectively. Thus, for a detailed description thereof, reference is made to the description of Figures 4 and 5: In the third embodiment of Figure 6, the first back- light 202 in the first round of sorting 210 and in the second round of sorting 212 may have, in the HSL color space, a H coordinate of 340, a S coordinate of 192 and a L coordinate of 172 similar to the embodiment of Figure 4. In the fourth embodiment of Figure 7, the first backlight 202 in the first round of sorting 210 and in the second round of sorting 212 may have, in theHSL color space, a H coordinate of 71, a S coordinate of 255 and a L coordinate of 123 similarto the embodiment of Figure 5. In both embodiments, the second backlight 208 used in the thirdround of sorting 216 using the ejected fraction of seeds 204 from the first round of sorting 210 may have, in the HSL color space, a H coordinate of 20, a S coordinate of 255 and a L coordi- nate of 150. However, in the embodiments of Figures 6 and 7, the method may comprise repeating steps i. to iv. with a retained fraction of seeds 206 from a repetition of steps. i. to iv. using the ejectedfraction of seeds 204, wherein the further repetition may use a fourth backlight 220 the fourthbacklight 220, in the HSL color space, having a H coordinate of H ≤ 150 or H ≥ 310 and a L co-ordinate of 0.10 ≤ L ≤ 0.80. The fourth backlight 220 may specifically be different from the first202 and / or second backlight 208. In these exemplary embodiments, the fourth backlight 220may be used in the fourth round of sorting 218. The fourth backlight 220, in the HSL colorspace, may have a H coordinate of 0, a S coordinate of 255 and a L coordinate of 110, or a H coordinate of 340, a S coordinate of 192 and a L coordinate of 172. The predefined sorting pro-tocol in this fourth round of sorting 218 may e.g. comprise the above-identified combined proto-col.Further, as can be seen in Figures 6 and 7, the fraction of retained seeds 206 comprising, spe-cifically consisting of, non-colored cereal seeds 114 may be added to a repetition of steps i. toiv. using the retained fraction of seeds 206. Specifically, in these examples, the fraction of re-tained seeds 206 of the fourth round of sorting 218 comprising, specifically consisting of, non-colored cereal seeds 114 may be added to the repetition of steps i. to iv. using the retained frac- tion of seeds 206 of the first round of sorting 210. In other words, the fraction of retained seeds 206 of the fourth round of sorting 218 may be added to the second round of sorting 212. Figures 8 shows a fifth embodiment of a method of sorting cereal seeds with repeating steps i.to iv.. In this exemplary embodiment, the steps i. to iv. may be repeated using the retained frac-tion of seeds 206 with the second backlight 208, wherein the steps i. to iv. may be repeated us-ing the ejected fraction of seeds 204 with a third backlight 222, the third backlight 222, in theHSL color space, having a H coordinate of H ≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤0.80. The third backlight 202 may specifically be different from the first 202 and second back-light 208.For example, the first backlight 202 used in the first round of sorting 210 may have, in the HSL color space, a H coordinate of 0, a S coordinate of 255 and a L coordinate of 110. The prede- fined sorting protocol used in step iii. of this first round of sorting 210 may e.g. comprise theabove-identified combined protocol. The second round of sorting 212 may be performed usingthe retained fraction of seeds 206 from the first round of sorting 210. The second backlight 208 used in the second round of sorting 212 may have, in the HSL color space, a H coordinate of340, a S coordinate of 192 and a L coordinate of 172. The same combined protocol may beused as the predefined sorting protocol in step iii. of the second round of sorting 212. The sec-ond backlight 208 may be used to repeat at least once the steps i. to iv. using the retained frac-tion of seeds 208 from the first round of sorting 210, preferably at least once, more preferablytwice, or even more preferably three times. The ejected fraction of seeds 204 in the secondround of sorting 212 may be part of the waste fraction of cereal seeds 214. Further, as can be seen in Figure 8, the third round of sorting 216 may be performed using the ejected fraction of seeds 204 from the first round of sorting 210. In this third round of sorting216, the third backlight 222, in the HSL color space, may have a H coordinate of 20, a S coordi-nate of 255 and a L coordinate of 150. Further, for this third round of sorting 216, in step iii., thepredefined sorting protocol may comprise a H coordinate in the range of H ≥ 354 and H ≤ 45, aL coordinate in the range of Lmin≤L≤Lmaxwherein the Lminis 0 or 0≤Lmin≤30, and wherein the Lmaxis set so as to get a certain % of dark colored seeds shot-out, such as an Lmax of 78≤Lmax≤127 (the S coordinate is as provided by the sorting device for the seeds to be sorted out), or maycomprise a H coordinate in the range of H ≥ 354 and H ≤ 45, an S coordinate in the range ofSmin≤S≤Smax wherein the Smin is 0 or 0≤Smin≤30, and a L coordinate in the range of Lmin≤L≤Lmax wherein the Lmin is 0 or 0≤Lmin≤30, and wherein the Lmax and Smax are set so as to get a certain % of dark colored seeds shot-out, such as an Lmaxof 78≤Lmax≤127, and an Smaxof 60≤Smax≤99.The ejected fraction of seeds 204 of the third round of sorting 216 may be part of the waste frac-tion of cereal seeds 214. The retained fraction of seeds 206 of the third round of sorting 216may be used for a further, fourth round of sorting 218. A fourth backlight 220 may be used forthe fourth round of sorting 218; e.g., a H coordinate of 71, a S coordinate of 255 and a L coordi-nate of 123. In the fourth round of sorting 218, the predefined sorting protocol may have, in theHSL space, a H coordinate in the range of H ≥ 345 and H ≤ 45, a L coordinate in the range of Lmin≤L≤Lmaxwherein the Lminis 96≤Lmin≤110, such as an Lminof 105, and the Lmaxis 138≤Lmax≤145, such as an Lmaxof 140, and an S coordinate in the range of Smin≤S≤Smaxwhereinthe Smin is 55≤Smin≤75, such as 65 ≤ Smin ≤ 75, such as an Smin of 70, and the Smax is95≤Smax≤255, such as an Smaxof 98 or 120. As shown in Figure 8, this exemplary embodiment may also be used to obtain a fraction of ster-ile white seeds of high purity of above 99 % via the second round of sorting 212 and a main-tainer fraction of cereal seeds with a high purity of above 95 % of seeds containing a blue aleu-rone 116, via the fourth round of sorting 218.Figure 9 shows a sixth embodiment of a method of sorting cereal seeds with repeating steps i.to iv.. In this exemplary embodiment, the steps i. to iv. may be repeated using the retained frac-tion of seeds 206 with the second backlight 208 and, further, the steps i. to iv. may also be re-peated using the ejected fraction of seeds 204 with the first backlight 202.For example, the first backlight 202 used in the first round of sorting 210 may have, in the HSL color space, a H coordinate of 0, a S coordinate of 255 and a L coordinate of 110. The prede- fined sorting protocol used in step iii. of this first round of sorting 210 may e.g. comprise the above-identified combined protocol. The second round of sorting 212 may be performed using the retained fraction of seeds 206 from the first round of sorting 210. The second backlight 208 used in the second round of sorting 212 may have, in the HSL color space, a H coordinate of340, a S coordinate of 192 and a L coordinate of 172. The same combined protocol may beused as the predefined sorting protocol in step iii. of the second round of sorting 212. The sec-ond backlight 208 may be used to repeat at least once the steps i. to iv. using the retained frac-tion of seeds 208 from the first round of sorting 210, preferably at least once, more preferablytwice, or even more preferably three times. The ejected fraction of seeds 204 in the secondround of sorting 212 may be part of the waste fraction of cereal seeds 214. Further, as can be seen in Figure 9, the first backlight 202 and the combined sorting protocol may also be used for the repetition of steps i. to iv. in the third round of sorting 216 with the ejected fraction of seeds 204 from the first round of sorting 210. The ejected fraction of seeds 204 of the third round of sorting 216 may be used for the further, fourth round of sorting 218, whereas the retained fraction of seeds 206 of the third round of sorting 216 comprising, specifi- cally consisting of, non-colored cereal seeds 114, may be added to the second round of sorting 212. Further, in the fourth round of sorting 218, the fourth backlight 220 may be used having, in the HSL color space, a H coordinate of 20, a S coordinate of 255 and a L coordinate of 150. For this fourth round of sorting 218, in step iii., the predefined sorting protocol may comprise a H co-ordinate in the range of H ≥ 354 and H ≤ 45, a L coordinate in the range of Lmin≤L≤Lmax whereinthe Lmin is 0 or 0≤Lmin≤30, and wherein the Lmax is set so as to get a certain % of dark colored seeds shot-out, such as an Lmaxof 78≤Lmax≤127 (the S coordinate is as provided by the sortingdevice for the seeds to be sorted out), or may comprise a H coordinate in the range of H ≥ 354and H ≤ 45, an S coordinate in the range of Smin≤S≤Smax wherein the Smin is 0 or 0≤Smin≤30, anda L coordinate in the range of Lmin≤L≤Lmax wherein the Lmin is 0 or 0≤Lmin≤30, and wherein theLmaxand Smaxare set so as to get a certain % of dark colored seeds shot-out, such as an Lmaxof 78≤Lmax≤127, and an Smaxof 60≤Smax≤99. The ejected fraction of seeds 206 from the fourth round of sorting 218 may be part of the waste fraction of cereal seeds 214. As shown in Figure 9, this exemplary embodiment may also be used to obtain a fraction of ster- ile white seeds of high purity of above 99 % via the second round of sorting 212 and a main- tainer fraction of cereal seeds with a high purity of above 95 % of seeds containing a blue aleu-rone 116 via the fourth round of sorting 218.Also, in the exemplary embodiments shown in Figures 4 to 9, any other sorting method can be used to shoot-out any remaining non-colored seeds (lacking a blue aleurone) before, during or after the sorting steps done in the maintenance breeding seed sorting stream, using visual and / or infrared spectral analysis, specifically near-infrared spectral analysis, and / or UV spectral analysis, and / or spectral analysis using x-rays, and / or spectral analysis using Raman scattering,and / or multispec analysis, with or without using a trained neural network to improve shooting-out of non-colored seeds, which other sorting method can be done on another or the same sort-ing device as the method of the invention (e.g., the Cimbria SEA.IQ PLUS or an H series sorterfrom AnySort, with or without adaptable backlight color). Figure 10 shows a graphical representation of the average distribution of the 3 different frac- tions of blue seeds within a blue fraction of segregating spikes according to genotypic and colorsorting results. The bar underneath indicates the lightness scale from light (255) to dark (0), andthe approximate location of an Lmax of 89, 87 and 85 (with the 5% , 10% and 20 % indicated be-ing the shoot-out target in percent weight). L: Light, D: Dark, X-axis: relative lightness (RL), Y-axis: relative amount of different seed types with 1n blue aleurone, 2n blue aleurone, and 3nblue aleurone (RA).The present invention is further illustrated by the following Examples. Example 1 In the first example, the method was performed with the same protocol of sorting out objects inthe image having (1) a H coordinate in the range of 5 to 65, a S coordinate in the range of 18 to82 and a L coordinate in the range of 88 to 145 (for light blue seeds) and a size of more than700 pixels and objects in the image having (2) a H coordinate in the range of 19-79, a S coordi-nate in the range of 19-83 and a L coordinate in the range of 62 to 130 (for dark blue seeds) and a size of more than 700 pixels. These two object specifications (1) and (2) were combinedto shoot out both, light blue (LB) seeds (1) and dark blue (DB) seeds (2) (hence, this is calledthe LB_DB or DB_LB Shout Out method). The method was performed once (only 1 shoot-outdone) using an ASM® EUREKA sorter in order to test the influence of different colored backlighton the purification of the white seeds of a mixed colored seed lot. The percentages (denoted by“P” in the Tables, % impurity) refers to the contamination of blue seeds in the white fraction de-tected with a multispectral imaging device as a quality control step. The multispectral imagingdevice in this example was employed with an autofeeder and a blue conveyor belt. The bluecolor of the conveyor belt as background may hinder the exact distinction of white and light blueseeds. In consequence, some light blue seeds in this analysis may have been classified aswhite, leading to an overestimation of the purity. Therefore, the purities as specified in Table 1and Table 2 should be understood as relative purity, with the same systematic bias across allthe backgrounds tested, allowing to compare their relative to each other. Control analysis by us-ing the multispectral imaging device may also be performed using different colors for the con- veyor belt. A black-colored conveyor belt was found to give the most accurate results with re-spect to visual inspection. The lower percentages (below P) indicate a higher sorting purity. Theamount of “white” seed (denoted by W in the Tables) was measured in grams (g). The non-col-ored “white” seeds, in this example, had a red seed coat. Best backlight may be identified by ahigh yield with a high purity (i.e., low percentage of blue seeds) of preferably above 99 %, morepreferably above 99.7 %, which can specifically be achieved by repeating performing themethod at least 2 or 3 times. The method was performed using approximately 200g of mixedwheat seeds comprising non-colored cereal seeds and seeds containing a blue aleurone. Thequality control was done with the multispectral imaging device (videometer®) on approximately600 seeds. Table 1: Experimental results for Example 1Genotype: 23NGTA004791 23NGTA004787 23NGTA004793HLS values RGB valuesH S L R G B P W / g P W / g P W / g0 0 0 1% 71.3 2.7% 65.3 14% 22.620 255255 25525525513% 28.6 17% 21.9 55% 11.2300 25582 1630 1631.8% 92.5 2.4% 91 9% 47.3300 255102 2040 2043% 100 6% 84 19% 40300 255172 25587 25511% 125 20% 113 36% 92305 255102 2040 1873% 110 5% 94 13% 55305 25542 82 0 75 4% 90 3% 93 12% 44310 25542 82 0 68 2% 100 1% 87 8% 41310 25562 1220 1022% 102 1% 91 6% 47310 25582 1630 1361% 103 2% 91 6% 44310 255102 2450 2043% 105 2% 92 9% 45310 255132 25510 2147% 109 7% 96 21% 55320 255102 2040 1362% 103 2% 89 9% 43327 255102 2040 1122% 105 2% 89 8% 47330 255102 2040 1022% 107 2% 93 9% 47331 25542 82 0 39 2% 96 3% 85 7% 42331 255102 2040 99 2% 106 3% 96 5% 53331 255132 25510 1292% 110 2% 96 9% 54331 255152 25551 1502% 110 3.4% 97 8% 55332 255102 2040 95 2% 114 2% 99 9% 68333 255102 2040 92 4% 122 4% 107 9% 79335 25542 82 0 34 3% 95 4% 87 10% 44335 255102 2040 85 7% 126 6% 109 8% 94335 255172 25587 157 no shot no shot no shot336 255102 2040 82 2% 115 2% 102 8% 67337 255102 2040 78 2% 113 2% 100 8% 63338 255102 2040 75 2.6% 113 2.5% 102 8% 64338 255172 25587 1483% 113 5% 102 9% 61339 255172 25587 1462% 100 2% 92 7% 49340 255192 2551281701% 100 2% 87 9% 48340 255172 25587 1432% 108 2% 92 5% 56340 192172 2341081502% 96 2% 84 5% 41340 130172 2141281571% 98 1% 86 8% 45340 85 172 1991431621% 100 1.6% 85 7% 46340 255152 25551 1192% 111 2% 96 6% 62340 192152 22972 1241% 109 4% 98 8% 55340 255132 25510 92 3.2% 116 3.6% 102 7% 73340 192132 22436 99 3.4% 120 3% 105 7% 82340 255102 2040 68 2% 109 2% 98 6% 67340 25582 1630 54 3% 111 5% 99 10% 59340 192102 17925 76 17% 170 27% 162 36% 170340 130102 15450 85 18% 175 28% 174 37% 189340 85 102 13668 91 18% 170 30% 176 39% 191345 255102 2040 51 2% 109 3% 96 6% 66350 255102 2040 34 3% 110 1% 98 8% 66350 25582 1630 14 2% 95.7 1% 99 6% 52355 255102 2040 17 2% 106 2% 94 5% 57355 255192 2551281382% 87.8 2% 86 7% 40.5H S L R G B0 25582 1630 0 1% 96 2% 96 5% 49.50 255102 2040 3 3% 109 2% 96 6% 655 255102 20417 0 2% 109 2% 93 5% 5910 255192 2551491281% 89 2% 87 6% 3810 255102 20434 0 3% 108 3% 95 7% 6015 25582 16341 0 1% 90 1% 91 7% 4615 255102 20448 0 0% 98 3% 97 7% 6120 25582 16354 0 9% 126 12% 112 24% 7820 255102 20468 0 3% 109 3% 96 7% 5820 255150 25511646 2% 120 3% 106 4% 9020 255172 25514387 1% 113 2% 111 4% 7520 255192 2551701281% 92 2% 82 7% 3025 255102 20485 0 25% 182 36% 181 40% 21025 255172 25515787 1% 110 2.9% 98 10% 5925 255192 2551811281% 87 1% 79 12% 32H S L R G B27 255102 20492 0 20% 179 37% 184 43% 20827 255123 2451100 3% 125 30% 169 42% 19427 255150 25514046 2% 124 4% 106 6% 9727 255172 25516287 1% 113 2% 100 5% 8127 192172 2341651082% 93 4% 83 8% 3827 130172 2141671281% 91 3.1% 78 11% 3527 85 172 1991681430% 87 2% 79 9% 3327 255192 2551851281% 87 2% 76 12% 3127 255203 2551961481% 85 1% 71 11% 2727 255223 2552191891% 64 5% 59 19% 2532 255192 2551951281% 75 1% 70 11% 2832 255172 25517667 1% 102 1% 89 7% 4532 255150 25515746 3% 119 2% 104 6% 9037 255192 2552061282% 68 2% 67 8% 2337 255172 25519087 1% 96 1% 85 7% 3837 255150 25517546 3% 124 2% 109 5% 8642 255192 2552171282% 67 3.3% 66 15% 2342 255172 25520692 1% 86 2% 82 9% 3342 255150 25519245 1% 106 2% 93 6% 5542 255123 2451710 2% 121 4% 109 8% 9242 255102 2041430 13% 159 13% 143 nd nd42 192150 22918272 1% 109 2% 95 4% 5842 130150 20417297 1% 100 2% 87 7% 4342 85 150 1851641162% 106 1% 94 7% 3747 255102 2041600 9% 156 15% 138 26% 14947 255123 2451920 0.8% 109 1% 95 6% 5847 192123 21417431 1.4% 115 2% 101 5% 7347 130123 18515860 6.2% 144 8% 126 14% 12547 255150 25521046 1.0% 101 2% 89 5% 4647 255172 25521987 1% 87 1% 75 9% 2947 255192 2552271281% 70 2% 59 18% 1752 255150 25522746 2% 101 4% 88 7% 4852 255123 2452120 1% 102 2% 91 7% 4752 255102 2041770 21% 143 24% 153 nd 15657 255150 25524441 10% 88 2% 76 11% 3157 255123 2452330 0% 102 1% 86 5% 3657 255102 2041940 1% 94 1% 94 5% 5157 2558261 255123 2412450 1% 97 3% 86 6% 4261 192123 21121431 1% 93 1% 80 10% 3861 130123 18318560 22% 186 29% 184 40% 20861 85 123 16516684 6% 132 6% 113 10% 11662 255150 24825546 1% 86 3% 76 11% 2862 255102 1972040 1% 92 1% 93 7% 4462 25582 1581630 2% 100 4% 99 10% 6467 255150 23125546 1% 84 2% 72 9% 29H S L R G B71 255172 22425587 2% 68 2% 67 13% 2271 255123 2002450 1% 95 2% 81 8% 3571 25582 1331630 no shoot no shoot no shoot72 255150 21325546 2% 79 2% 66 13% 2281 255123 1592450 2% 97 2% 84 8% 3991 25562 59 1220 4% 110 6% 98 19% 6391 25582 79 1630 2% 100 2% 85 7% 4291 25592 89 1840 1% 107 2% 92 6% 5291 255102 99 2040 2% 105 2% 92 5% 4891 192102 99 17925 1% 110 2% 97 4% 5791 130102 10015450 8% 149 8% 133 20% 13691 255123 1182450 1% 97 1% 83 7% 3991 255133 12925510 1% 91 2% 77 12% 3491 255153 15025551 2% 85 2.5% 75 13% 2891 255173 17125592 1% 75 3% 60 14% 19101 25582 52 1630 3% 75 2% 76 10% 34101 255123 73 2450 1.5% 107 2.8% 92 9% 53101 255102 65 2040 1.5% 80 1.6% 82 7% 38101 255153 11625551 1% 65 3% 65 7% 15111 255123 37 2450 1% 91 2% 79 9% 33121 255153 51 25554 0% 68 3% 59 19% 21121 255123 0 2454 1% 82 2% 73 8% 33121 255103 0 2043 2% 70 2% 69 11% 28121 25582 0 1633 1% 79 2.8% 71 10% 26121 192123 31 21434 1% 85 3% 74 9% 29121 130123 60 18562 1% 90 1% 79 6% 37121 85 123 82 16383 2% 104 2% 89 6% 55126 255172 87 2551042% 46 4% 46 17% 13126 255123 0 24524 1% 73 2.7% 59 11% 18126 25582 0 16316 1% 72 2.1% 71 9% 32131 255123 0 24545 2% 73 2% 62 13% 21131 25582 0 16330 1% 72 2% 72 12% 34141 255123 0 24586 2% 66 3.3% 56 13% 17151 25582 0 16384 2% 69 2% 69 15% 35151 255123 0 2451262% 52 2% 42 26% 12151 255172 87 2551742% 52 4% 46 19% 12180 25582 0 1631631% 60 3% 58 16% 23180 255123 0 24524511% 20 20% 15 55% 8180 255172 87 25525510% 22 20% 18 nd 10210 25582 0 82 1634% 76 2% 75 12% 32210 255123 0 12224510% 93 18% 80 42% 58.7210 255172 87 17125517% 130 25% 119 nd 108240 25582 0 0 1632% 69 3% 69 21% 30240 255123 0 0 24517% 143.5 21% 132.7 nd 122240 255172 87 87 25512% 109.7 18% 99.8 nd 76.7270 25582 82 0 1634% 89.5 4% 88.3 16% 40270 255123 1220 24513% 127.7 18% 111.2 35% 89.2270 255172 17187 25511% 114.1 14% 100.6 nd 76.7Table 1: Experimental results for Example 1 (continuation)Genotype: 23NGTA004785 23NGTA004789 Average % im-Average purity Amount (g)HLS values RGB valuesH S L R G B P W / g P W / g P W / g0 0 0 2% 71.9 7% 38.3 5% 5420 255255 25525525517% 19.1 40% 18.8 28% 20300 25582 1630 1632.5% 104.3 7% 67.6 5% 81300 255102 2040 2045% 96 16% 62 10% 76300 255172 25587 25516% 123 34% 106 23% 112305 255102 2040 1872% 112 8% 70 6% 88305 25542 82 0 75 6% 104 9% 67 7% 80310 25542 82 0 68 2% 102 9% 59 5% 78310 25562 1220 1022% 104 11% 62 4% 81310 25582 1630 1361% 104 4% 61 3% 81310 255102 2450 2042% 107 6% 61 4% 82310 255132 25510 214 nd nd nd nd 12% 86320 255102 2040 1363% 107 7% 61 4% 81327 255102 2040 112 nd nd nd nd 4% 81330 255102 2040 102 nd nd nd nd 4% 82331 25542 82 0 39 3% 101 5% 58 4% 76331 255102 2040 99 4% 114 7% 63 4% 86331 255132 25510 1293.3% 116 8% 68 5% 89331 255152 25551 1503.1% 114 6% 68 4.5% 89332 255102 2040 95 3.1% 124 7% 72.2 5% 96333 255102 2040 92 8% 136 11% 82.2 7% 105335 25542 82 0 34 2% 102 6% 65.1 5% 79335 255102 2040 85 7% 140 12% 78 8% 109335 255172 25587 157 no shot no shot na na336 255102 2040 82 4% 128 9% 74.9 5% 97337 255102 2040 78 3.1% 124 8% 72.2 5% 95338 255102 2040 75 3.6% 124 6% 73.5 5% 95338 255172 25587 1482.8% 122 8% 73.6 6% 94339 255172 25587 1462.7% 105 5% 68 4% 83340 255192 2551281701% 102 5% 54 4% 78340 255172 25587 1432% 113 6% 59 3.3% 85340 192172 2341081502% 96 5% 50 3% 73340 130172 2141281572% 101 5% 48 4% 76340 85 172 1991431621.6% 98 12% 57 5% 77340 255152 25551 1193% 118 6% 62 4% 90340 192152 22972 1243% 113 5% 67 4% 88340 255132 25510 92 3.1% 126 8% 66 5% 97340 192132 22436 99 4% 131 9% 80 5% 104340 255102 2040 68 2.9% 120 7% 66 4% 92340 25582 1630 54 5% 120 7% 73 6% 92340 192102 17925 76 19% 174 45% 153 29% 166340 130102 15450 85 17% 181 47% 169 29% 178340 85 102 13668 91 16% 182 44% 169 29% 177345 255102 2040 51 3% 120 6% 63 4% 91350 255102 2040 34 4% 119 6% 62 4% 91350 25582 1630 14 3% 111 5% 68 3% 85355 255102 2040 17 4% 114 5% 59 4% 86355 255192 2551281381% 98 4% 61 3% 75H S L R G B0 25582 1630 0 1% 109 3% 65 2% 830 255102 2040 3 2% 116 5% 61.7 4% 895 255102 20417 0 3% 115 8% 60 4% 8710 255192 2551491282% 99 6% 60.3 3% 7410 255102 20434 0 3% 116 6% 60.2 4% 8815 25582 16341 0 2% 104 3% 64 3% 7915 255102 20448 0 3% 115 8% 63 4% 8720 25582 16354 0 nd 135 nd 94 15% 10920 255102 20468 0 2% 117 5% 59.9 4% 8820 255150 25511646 4% 137 9% 82.4 5% 10720 255172 25514387 3% 125 6% 74.4 3.3% 10020 255192 2551701281% 93 5% 51.3 3.1% 7025 255102 20485 0 20% 190 37% 181.8 32% 18925 255172 25515787 2.6% 112 7% 64.1 5% 8925 255192 2551811281% 86 4% 49.1 4% 67H S L R G B27 255102 20492 0 26% 187 52% 182 36% 18827 255123 2451100 22% 187 44% 161 28% 16727 255150 25514046 6% 135 9% 70 7% 10827 255172 25516287 2% 126 9% 67 4% 9727 192172 2341651081% 93 7% 50 4% 7127 130172 2141671281% 88 6% 46 5% 6727 85 172 1991681432% 88 5% 44 4% 6627 255192 2551851281% 84 4% 48 4% 6527 255203 2551961482% 78 7% 43 4% 6127 255223 2552191893% 64 8% 28 7% 4832 255192 2551951282% 79 5% 50 4% 6032 255172 25517667 1% 105 4% 60 2.7% 8032 255150 25515746 6% 132 8% 70 5% 10337 255192 2552061282% 76 5% 48 3.5% 5637 255172 25519087 1% 96 4% 54 2.7% 7437 255150 25517546 6% 133 16% 78 6% 10642 255192 2552171281% 69 4% 46 5.0% 5442 255172 25520692 1% 90 4% 56 3.3% 6942 255150 25519245 1% 110 6% 57 3.1% 8442 255123 2451710 4% 137 8% 84 5% 10842 255102 2041430 nd nd nd nd 13% 15142 192150 22918272 2% 112 6% 60 3.1% 8742 130150 20417297 2% 99 5% 52 3.2% 7642 85 150 1851641162% 89 5% 49 3.4% 7547 255102 2041600 14% 175 28% 135 18.2% 15147 255123 2451920 2% 114 4% 67 2.6% 8947 192123 21417431 2% 125 5% 74 3.0% 9847 130123 18515860 12% 160 19% 12 12% 11347 255150 25521046 1% 100 4% 54 2.6% 7847 255172 25521987 1% 84 5% 49 3.3% 6547 255192 2552271281% 60 8% 34 6.2% 4852 255150 25522746 2% 99 8% 56 5% 7852 255123 2452120 1% 104 5% 61 3% 8152 255102 2041770 nd 161 37% 149 27% 15257 255150 25524441 1% 82 5% 46 6% 6557 255123 2452330 1% 97 5% 55 2.4% 7557 255102 2041940 1% 108 5% 66 2.5% 8357 25582 na na61 255123 2412450 1% 95 6% 50 4% 7461 192123 21121431 1% 90 6% 49 4% 7061 130123 18318560 17% 186 48% 181 31% 18961 85 123 16516684 7% 145 16% 88 9% 11962 255150 24825546 2% 78 5% 42 4% 6262 255102 1972040 1% 106 3% 65 3% 8062 25582 1581630 2% 118 7% 73 5% 9167 255150 23125546 1% 78 5% 42 4% 61H S L R G B71 255172 22425587 2% 70.5 6% 47 5% 5171 255123 2002450 1% 89 4% 49 3.1% 7071 25582 1331630 no shoot no shoot na na72 255150 21325546 1% 66 5% 38 5% 5481 255123 1592450 2% 95 4% 52 3.3% 7391 25562 59 1220 5% 115 21% 79 10.9% 9391 25582 79 1630 2% 106 6% 58 3.8% 7891 25592 89 1840 2% 115 5% 67 3.3% 86255102 99 2040 1% 109 2% 61 2.4% 83192102 99 17925 2% 115 3% 66 2.2% 89130102 10015450 12% 168 22% 123 13.8% 142255123 1182450 2% 96 4% 51 3.1% 73255133 12925510 2% 87 5% 48 4% 67255153 15025551 1% 79 5% 44 5% 62255173 17125592 2% 66 6% 37 5% 5125582 52 1630 2% 85 5% 51 4% 64255123 73 2450 2.3% 107 7% 62 4% 84255102 65 2040 0.9% 87 4% 63 3% 70255153 11625551 0% 69 4% 47 3% 52255123 37 2450 2% 87 5% 45 4% 67255153 51 25554 1% 58 8% 36 6% 48255123 0 2454 1% 77 5% 41 3.3% 61255103 0 2043 1% 78 4.03% 49 4% 5925582 0 1633 2% 80 8% 46 5% 60192123 31 21434 2% 82 6% 43 4.0% 63130123 60 18562 1% 91 6% 48 3.0% 6985 123 82 16383 1% 108 8% 57 4% 83255172 87 2551041% 44 9% 32 6% 36255123 0 24524 2% 62 8% 37 5% 5025582 0 16316 2% 79 7% 49 4% 61255123 0 24545 2% 66 8% 38 5% 5225582 0 16330 1% 81 4% 51 4% 62255123 0 24586 2% 59 7% 33 5% 4625582 0 16384 1% 80 3% 51 5% 61255123 0 2451262% 40 11% 24 9% 34255172 87 2551743% 42 10% 26 8% 3625582 0 1631631% 63 7% 43 6% 49255123 0 24524511% 11 38% 15 27% 14255172 87 255255 nd 12 50% 19 27% 1625582 0 82 1634% 85 5% 54 5% 64255123 0 12224514% 97 33% 81 23% 82255172 87 171255 nd 129 45% 123 29% 12225582 0 0 1633% 74 7% 52 7% 59255123 0 0 245 nd 150.8 38% 136.5 25% 137255172 87 87 255 nd 112.7 18% 96 16% 9925582 82 0 1633% 96.6 13% 65 8% 76255123 1220 24510% 127.3 37% 102.3 22% 112255172 17187 255 nd 113.8 33% 99.3 19% 101 These results are summarized in Figures 3A and 3B. As can be seen in the Figures and inabove-identified experimental data, colored backlights such as magenta (Hue 300), blue (Hue240) and cyan (Hue 180) are, in contrast to colored backlights of yellow (e.g. Hue 47) , green(e.g. Hue 71) and red (e.g. Hue 340) non-suitable backlight colors to achieve a pure white seedfraction as indicated by a significantly larger percentage of blue seeds remaining in the whitefraction after one round of sorting. In general, background colors with Hue values between 150and 310 are non-suitable colors. Green, yellow and red colored backlight resulted in approx.2-5 % remaining impurities of blue seeds in white fraction averaged across the five different seedlots tested (after 1 shoot-out or sorting run, as was used here to test various backlight colors),specifically depending on lightness, whereas the other colors showed 6-25% remaining impuri-ties. Each of the different seed lots used, corresponds to a mixture of blue and non-coloredseeds from a different genotype, with all blue seeds containing the same blue aleurone locus.Example 2:Example 2 essentially corresponds to Example 1. Example 2 was performed to further test thebacklight colors from Experiment 1 with regard to their ability to facilitate a highly accurate sort-ing, resulting in a relative purity of above 99,7% of the white seed fraction (after at least 2 sort-ings, compared to other backlight colors), as currently required for certified seed registration. In addition, the best backlight colors from each color group were compared to the previously used backlight colors to evaluate any potential superior performance with regard to purity and / orproduct yield. Genotypes from 6 different varieties segregating for the blue aleurone color andcontaining white and blue seeds were sorted with an ASM® EUREKA seed sorter using thesame protocol as in Example 1. The sorting method was repeated at least twice on the white seed fraction and the resulting white fractions were weighed to obtain the product yield and ana-lyzed for its purity using the multispectral imaging device (videometer®). At least 600 seedswere analyzed for each white fraction and the impurity was expressed as percentage of de- tected blue seeds within the white seeds, and the purity was assessed on approximately 600seeds of the resulting white fractions using the multispectral imaging device as described in Ex-ample 1. Table 2: Experimental results for Example 2Genotype: 23NGTA004791 23NGTA004787 23NGTA004793 23NGTA004785HLS valuesRGB va- luesH S L R G B P W / g P W / g P W / g P W / g11125512337 24502 shots 0.00% 64.6 0.29% 54.5 2.9% 11.2 0.12% 56.33 shotsH S L R G B12113012360 185622 shots 0.12% 68.8 0.23% 57.7 2.0% 16.2 0.50% 68.53 shots 0.87% 9.8 0.10% 55H S L R G B91 25512311824502 shots 0.00% 74.8 0.0% 65.6 1.8% 16.3 0.10% 69.53 shotsH S L R G B91 25510299 20402 shots 0.00% 94.8 0.0% 81.3 1.4% 32.3 0.40% 96.23 shots 0.0% 24.7 0.06% 87.4H S L R G B91 19210299 179252 shots 0.00% 97.6 0.14% 88.12 1.7% 43.2 0.48% 104.43 shotsH S L R G B57 25510220419402 shots 0.13% 79 0.1% 80 0.20% 31 0.22% 88.73 shotsH S L R G B20 255150255112412 shots 0.91% 108.8 0% 96.3 1.07% 69.7 1.52% 120.23 shotsH S L R G B47 255150255210462 shots 0.22% 87.5 0% 75.5 2.0% 26.5 0.00% 82.53 shots 1.4% 19.8H S L R G B42 192150229182722 shots 0.35% 96.6 0% 84.5 0.9% 36.4 0.41% 97.83 shots 0.22% 90.3 0.85% 30.2 0.13% 91.2H S L R G B47 25512324519202 shots 0.00% 97.6 0% 85.5 0.41% 40.2 0.25% 101.43 shots 0.5% 33.2H S L R G B0 2551102190 02 shots 0.14% 93.7 0.46% 82.1 1.62% 32.8 0.45% 93.4 3 shotsH S L R G B34025517225587 1432 shots 0.12% 93.7 0% 80.7 0.9% 35.8 0.38% 93.43 shots 2.0% 27.6 0.45% 83.84 shots 0.5% 20.1 0.13% 76.5H S L R G B0 25582 1630 02 shots 0.00% 84.4 0% 84.6 1.4% 35.3 0.12% 99.23 shots 0.4% 28.8Table 2: Experimental results for Example 2 (continuation)Genotype: 23NGTA004789 23NGTA004790 23NGTA004788 AverageAverage % impu- Amount rity (g)HLS values RGB valuesH S L R G B P W / g P W / g P W / g P W / g111 25512337 245 02 shots 0.32% 30.3 0.05% 48.9 0.27% 44.5 0.6% 443 shotsH S L R G B121 13012360 185 622 shots 0.73% 30.4 0.00% 53 0.60% 493 shots 0.16% 22.5H S L R G B91 255123118245 02 shots 0.16% 38.9 0.17% 57.7 0.37% 543 shotsH S L R G B91 25510299 204 02 shots 0.25% 52 0.18% 68.1 0.09% 82.6 0.33% 723 shotsH S L R G B91 19210299 179 252 shots 0.77% 56.8 0.36% 73.7 0% 94.7 0.55% 803 shotsH S L R G B57 255102204194 02 shots 0.00% 53 0.00% 65.8 0.12% 83.5 0.11% 603 shotsH S L R G B20 255150255112 412 shots 0.71% 66.7 0.7% 90.6 0.32% 108.2 0.75% 943 shotsH S L R G B47 255150255210 462 shots 0.16% 41.7 0.00% 61.7 0.40% 633 shotsH S L R G B42 192150229182 722 shots 0.85% 53.3 0.39% 70.3 0.49% 733 shots 0.24% 47.8 0.00% 65.5H S L R G B47 255123245192 02 shots 0.10% 55 0.00% 72 0.23% 91.3 0.14% 753 shotsH S L R G B0 2551102190 02 shots 0.9% 51 0.47% 68.2 0.44% 81.4 0.64% 703 shotsH S L R G B340 25517225587 1432 shots 1.2% 46.9 0.14% 66.3 0.17% 78.5 0.42% 713 shots 0.80% 41.14 shots 0% 37.4H S L R G B0 25582 1630 02 shots 0.6% 55.7 0.00% 70 0.1% 90.1 0.32% 743 shots 0.1% 50.2 0.27% 40Table 3: Experimental results for white and Cyan background and no background lighting(“black") for Example 2 Backlight No. of Genotype: H / S / L R / G / B Impurity P W / gColor shots 23NGTA004786 359 / 255 / 255 255 / 255 / 255 White 2 2,3% 1323NGTA004786 185 / 255 / 125 0 / 229 / 250 Cyan 2 4,0% 1223NGTA004787 359 / 255 / 255 255 / 255 / 255 White 2 3,8% 1123NGTA004787 185 / 255 / 125 0 / 229 / 250 Cyan 2 2,8% 923NGTA004787 0 / 0 / 0 0 / 0 / 0 Black 2 0,1% 5423NGTA004793 0 / 0 / 0 0 / 0 / 0 Black 3 2,7% 9,3The results obtained indicate that, for a backlight, in the HSL color space, of a H coordinate ofH ≤ 150 or H ≥ 310 (with the exception of H332-338) and a L coordinate of 0.2 ≤ L ≤ 0.80, (seeFig 3a and 3b) the genotypes could be sorted to a purity of 99,7% or higher. Genotype23NGTA004793 was consistently difficult to sort and the desired purity could only be achievedwith a green colored backlight with three consecutive sort outs. When purity was averagedacross all tested genotypes, the yellow colored backlight performed best by achieving a relativepurity of 99,86% of white seed fractions on average. It should be noted that not all seed lots be-have the same. This is probably due to the fact that both, the blue seed fraction and the white seed fraction of some of the different genotypes used, differ significantly in color appearance. For example, genotype 21NGTA004789 appears significantly darker than e.g. genotype21NGTA004785. The different genotypes are derived from different field grown varieties, intowhich the same blue aleurone locus has been introgressed by re-current backcrossing. There-fore, the different genotypes also differ in size (thousand kernel weight), shape, or degree ofshriveling. As a result, the best background light might differ from one genotype to another.In addition, depending on the priority of the seed sorting, such as with respect to purity require-ment and / or priority of resulting seed quantity (product yield), individual seed lots might be bestsorted with a particular background, resulting in the highest product yield and a lower purity ofe.g.99%. One such example could be the yellow color (H,S,L)=(20,255,150) in case of geno-type 21NGTA004791 in which the significantly highest product yield was obtained with tworounds of sorting and a white seed yield exceeding 100 g with a corresponding relative purity of>99%. Consequently, for important individual genotypes, especially of larger volumes, such as several kg or tons, it might be recommended to try a couple of the identified backgrounds onsmaller aliquots to identify the optimal background lighting for larger scale sorting. In anotherexample, like in the context of breeding, where hundreds of different small seed lots may need to be sorted, and not all available seeds being needed, a background light, allowing for con- sistent high purity sorting across all different seed lots, but with a lower product yield might be preferred. In comparison to the suitable backlight colors listed in Table 2, applying a white backlight or acyan backlight, (and cyan is the default color advised for the sorter, and for sorting these typesof seeds) did not allow to purify the white fraction of two selected seed lots to sufficient purity. Inaddition, the amount of white seeds obtained after 2 shots was very low (see Table 3). Due to black painting, the background for the cameras appears black, if the background lights are shut off. This background gave different results, depending on the genotypes sorted. In case of gen-otype 23NGTA004787 the purity was high and the product yield relatively low, compared to thesuitable background colors listed in Table 2. In case of the other genotypes, the purity was low and the product yield very low. Example 3: Example 3 essentially corresponds to Example 1. In this example, the method of sorting wheatseed was repeated for a number of 3 shots on different genotypes from which larger amounts ofseeds were available. The purity analysis was performed by visual inspection of a total of 4 dif-ferent images using the multispectral imaging device (videometer ®) taken each time of approx.170 – 200 seeds from the white fraction which were put into a petri dish and imaged on a blackbackground plate. The amount of blue seeds detected in a total of approximately 700-800 seedsof the white fraction are listed in the table. Cross validation with a genotypic purity assessment,using a SNP marker for the BA locus, confirmed the high level accuracy of this image based pu-rity assessment method. From the available seed lots the two visually lightest and two darkestseed lots were selected for blue-white sorting, in order to cover the entire variation space ofseed color. In Table 4, the number of white seeds is denoted by #w, the number of blue seeds is denotedby #b, the amount of white seeds (in gram) is denoted by A, the average number of blue seedsis denoted by ∅#b and the percentage of impurity is denoted by P.Table 4: Experimental results for Example 3Genotype: 23NGTA00423NGTA004 23NGTA004 23NGTA013A / g ∅#b P789 793 790 763 Amount1003,8 g 1012 g 1009,5 g 1014 gsortedHSL RGB#w #b #w #b #w #b #w #b91 / 255 / 118 / 245329 2 218.3 2 354.6 2 273 3 294 2.3 0.32123 / 0 101 / 25573 / 230 / 286.4 1 215.8 2 352 3 283 1 284 1.8 0.25 / 115 0 71 / 255 78 / 245 / 308.9 2 212 1 343 1 276 0 285 1.0 0.14 / 123 0 340 / 200255 / 87 / 377.5 0 291 1 518 5 413.5 5 400 2.8 0.39 / 172 143 340 / 192234 / 108364 0 292 1 510 4 408 5 394 2.5 0.36 / 172 / 150 340 / 180231 / 111nd nd nd 496 5 402 7 449 6.0 0.86 / 172 / 151 0 / 255 / 219 / 0 / 0 466 1 429 3 609 22 497 19 500 11.3 1.61110 47 / 255 / 255 / 210230 0 182 1 406.6 3 336.8 3 305 1.8 0.25150 / 46Example 4: 3n blue aleurone seed depletion using lightness (low L) methodPrinciple of the Lightness Method: To shoot out the darkest seeds from a seedlot, the Lmin object setting value is put at 0 (maxi-mum darkness) and the Lmax value is chosen according to the percentage of dark blue seedsaimed to be shot out (see the virtual example in Fig. 10). Due to the overlap in darkness of the3n and 2n Bla fraction (as shown in Fig.10) the likelihood to shoot out monosomic, 2n (and to alow percentage 1n) Bla seeds, increases when more dark blue seeds are shot out. With thesame (low) Lmax value, more seeds are shot out from a dark seedlot as compared to a lightseedlot, hence seedlots with significantly different color expression need different Lmax settingsto achieve a shoot out of the same percentage of darkest blue seeds.The lightness (or low L) method uses only the lightness aspect of the blue seeds (to be shot-out) to differentially target the darkest blue seeds to shoot out 3n blue aleurone seeds (alsonamed herein double blue (or DB) or disomic seeds (3n refers to the aleurone and disomic / dou-ble refers to the embryo)). To achieve that, the Lmin object value of the protocol is set to 0 andan Lmax value is chosen, which results in the shoot out of the demanded proportion by weight ofthe darkest seeds. This was tested on seedlots from pooled segregating spikes with an antici-pated percentage of double blue seeds of 10 % (pre-sorted to obtain a blue seed fraction usingthe above methods). HSL setting for the backlight in the ASM® EUREKA color sorter was setat H20 (0-360 scale) / S255 (0-255 scale) / L150 (0-255 scale), with shoot-out object settings : H:354-54, Smin: 35, Smax: 99, Lmin: 0, Lmax: x (depends on % to be shot out; a lighter seedlot re-quires a higher Lmax lightness values when compared to a dark seedlot, for the same percent-age of shoot out). The results are shown in Table 5 below, showing the Bla locus copy numberanalysis of blue seeds from segregating spikes of 4 different BLA lines and their correspondingDB shoot out fractions (5%, 10% and 20% by weight), using the Lightness Method.Table 5 Composition of shoot out Amount before shoot effective shoot out % shot % % % % Name sampleout (g) (g) out 0n 1n 2n 3n composition before Line Dshoot out na na na 2 42 44 12Line D 20% shoot out 80 17,8 22,3 0 5 60 35Line D 10% shoot out 80 9,2 11,5 0 7 40 53Line D 5% shooot out 80 5,2 6,5 0 8 47 45composition before Line Eshoot out na na na 0 19 53 27Line E 20% shoot out 69 13,6 19,7 0 7 56 37Line E 10% shoot out 69 8,8 12,8 1 7 56 36Line E 5% shoot out 69 4,3 6,2 0 2 49 49composition before Line Fshoot out na na na 1 10 74 15Line F 20% shoot out 100 23,4 23,4 0 0 76 24Line F 10% shoot out 100 11 11,0 0 1 62 37Line F 5% shoot out 100 5 5,0 0 0 59 41composition before Line Gshoot out na na na 2 39 44 15Line G 20% shoot out 150 38 25,3 1 16 43 39Line G 10% shoot out 150 19,5 13,0 0 5 48 48Line G 5% shoot out 150 10,2 6,8 0 8 39 52In this example, the percentage of double blue seeds in the blue / ”white” seeds from segregating spikes varied between 12% and 27% (17% in average). The efficiency of the Lightness method was approx.50% at best (about 50 % of 3n blue aleurone in the shoot-out fraction, @5% shootout by weight of blue seeds).The about 20% shoot out by weight is recommended for the blue fraction of seed lots from seg-regating spikes to deplete for approx.50% Double Blue seeds with an accompanied loss of ap-prox. 15% of monosomic blue seeds (1n / 2n blue aleurone). Whereas only 5% to 10% shoot outis recommended on blue seeds from segregating spikes, if the attempt is to maximize main-tainer multiplication rates and efficiencies (less losses of 1n / 2n maintainer seed). It seems thatfor blue seedlots derived from segregating spides, a 5 – 10 % shoot out (by weight) can containmore than 50 percent of double blue (3n) seeds.In further examples using the above lightness method, it was seen that the Lminat 0 is best usedas standard for any new seedlot (works well across different seedlots), the Lmin can also be in-creased – e.g., the Lmin (object) value can be raised up to 30 for dark seedlots and up to 60 forlight seedlots, without significantly influencing the percentage of dark blue seeds being shot out.Also, in this (low L) method, the best Lmax for a 10% dark blue seed shoot is 77 ≤ L ≤ 87, for a15% shoot out is 79 ≤ L ≤ 95, for a 20% shoot out is 81 ≤ L ≤ 100, for a 30% shoot out is 84 ≤ L≤ 103, for a 40% shoot out is 87 ≤ L ≤ 107, and for a 50% dark blue seed shoot out is 91 ≤ L ≤110 (0-255 L scale).Also, when testing other H object settings in the low L method, it was found that essentially anyHue object setting including the range from 354 ≤ H to H ≤45 also works fine, as well as minorvariations of + / - 3 thereof.Example 5: 3n blue aleurone shoot-out improvement by use of Lightness and SaturationSurprisingly, it turned out that also reducing the Saturation object setting in the Lightness method above improves the visual impression of the dark seed shoot out. The fraction looks of-ten more homogeneous and darker. The mean values of the videometer supported the visualimpression. Hence, protocols based on both a low saturation (S) and low lightness (L) objectsetting are especially suited to shoot out 3n Bla seeds from the blue seed fraction.In a first protocol using the backlight HSL settings of H20 / S255 / L150, the Smin and Smin objectsettings were both set to 0, and depending on the appearance of the seedlot (a lighter seedlotrequires higher Smax and Lmax values as compared to a dark seed lot for the same percentage ofdark blue shoot out) and the amount of seeds which are intended to be shot out from the bluefraction, the Smax was set between 60 and 78 and the Lmax was set between 78 and 120 (0-255scale), the H object setting was 354-54. It turned out that the shot-out seeds appeared thedarkest, when the Smax value rather than the Lmax value restricts the amount of seeds being shot out with a particular setting and hence is the preferred way to shoot out the desired amount of dark seeds to deplete the maximum of double blue (disomic) seeds. When comparing this Lightness and Saturation (or low L+S) method to the Lightness method ofExample 4, on the same seedlots of different wheat varieties (containing a mixture of non-col-ored and 1n; 2n and 3n blue aleurone seeds, 5 varieties produced in Germany and 2 in France),the L+S method gave a darker ejected fraction (as measured with the videometer), indicating ahigher proportion of 3n Bla seeds were shot out by the L+S method compared to the Lightnessmethod.In a second test, seedlots from pooled segregating spikes were sorted once to split into blue al-uerone and non-colored (lacking blue aleurone, “white”) seeds. The blue fraction was equallysplit, and approx.10% of the darkest blue seeds (Shoot out (g)) were shot out either by the Lightness method of Example 4 or the L+S method. The percentage of 3n Bla seeds in the darkblue fraction was determined by genotyping (“% DB” in Table 6 below). From the weights andpercentages of 3n Bla seeds in the non-depleted fraction and the dark blue fractions the percent depletion of 3n Bla seeds was calculated.In line with the videometer results, for the seedlots in which the amount of 3n Bla seeds was notlimited the L + S method works more efficient than the method based on Lightness (low L) only. In such seedlots (here line B and C), within the same / similar amount of seeds shot out (target 10%), a higher proportion of 3n Bla versus 1n and 2n Bla seeds were found with the L+Smethod as compared to the Lightness method (see Table 6: % DB in shoot out). In conse-quence, here a higher degree of 3n Bla (DB) seeds depletion was achieved with the L+Smethod.

[0002] Table 6 Lightness Method Low L+S MethodDB DB DB % DB in DB Deple- Deple- Shoot seeds Shoot % DB in seeds Shoot tion Effi- tion Effi- out (g) shot out out (g) Shoot out shot out out ciency (%) ciency (g) (g) (%)Line A 7,8 52 4,1 100 8,5 45 3,8 100Line B 13,3 53 5,8 21 16,5 59 9,7 35Line C 8,6 44 4,6 18 8,6 65 5,6 33Average 9,9 49,7 4,8 46 11,2 56,3 6,4 56Testing different backlight HSL settings in the L+S method, with a light blue seedlot (23NGTA013748), it was found that the best HSL backlight settings in this method wereH20 / S255 / L150, H0 / S255 / L110, H111 / S255 / L123, H71 / S255 / L123 and H47 / S255 / L150.Also, the low L+S and low L methods were tested on other wheat lines producing blue seedswith 1n, 2n, and 3n blue aleurone, and “white” seeds without blue aleurone. These seed lotswere derived from wheat lines which went through 2 subsequent amplification rounds (without DB seed removal) and hence contained a higher percentage of DB seeds. A sample of 135-169randomly picked seeds from the different 15% or 30% dark blue shoot out fractions was ana-lyzed by PCR for the copy number of the BLA locus. The seeds from the reference aliquot wereanalyzed to determine the composition of the blue seed fraction prior to the shoot outs. Seedsgenotyped as 0n seeds are “white” seeds containing no BLA locus, seeds genotypes as 1n or2n are monosomic seeds (the desired maintainer), seeds genotyped as 3n seeds are disomic(double blue, 3n blue aleurone layer) seeds (undesired).Results are shown in the following table 7a.

[0003] Table 7a Composition of shoot out Amount blue seeds shoot outMaterial Sample type % 0N % 1N+2N % 3Nbefore (g) shoot out (g)Line i_BLA Composition before DB shoot out na na 1 80 19Line i_BLA Lightness method (15%) 140,5 20 0 70 30Line i_BLA Lightness method (30%) 140,5 44 0 73 27Line i_BLA L+S method (15%) 140,5 21 1 71 28Line i_BLA L+S method (30%) 140,5 44 0 75 25Line ii_BLA Composition before DB shoot out na na 2 51 47Line ii_BLA Lightness method (15%) 158,8 27,5 0 9 91Line ii_BLA Lightness method (30%) 158,8 49 0 7 93Line ii_BLA L+S method (15%) 158,8 24 0 7 93Line ii_BLA L+S method (30%) 158,8 49 0 15 85Lineiii_BLA composition before DB shoot out na na 1 60 39Lineiii_BLA Lightness method (15%) 152,8 25,6 0 24 76 iii_BLA L+S method (15%) 152,8 23,2 0 15 85 Lineiii_BLA L+S method (30%) 152,8 45,1 0 24 76For Line ii and Line iii an efficient depletion of DB seeds was achieved, where up to more than90 % (Line ii) and up to 85% (Line iii) of all shot out seeds at 15 % weight turned out to be 3nBla seeds. At 30 % shoot out, the DB shoot out efficiency dropped slightly for Line iii to 76 %.These results mean that in case of Line i 45 % (with a % loss of maintainer seeds (1n / 2n) in theshoot-out of 29 %), in case of Line ii 61% (with a % loss of maintainer seeds (1n / 2n) in theshoot-out of 4 %) and in case of Line iii 58% (with a % loss of maintainer seeds (1n / 2n) in theshoot-out of 12 %) of all the disomic / 3n blue seeds originally present, could be removed fromthe blue seed fraction with one shoot out, using either the low L or low L+S method and shoot-ing out 30 % of the darkest seeds by weight. The percentage of DB seed removed by a DBshoot out was calculated as follows: (shoot out weight (g) x percentage DB seed detected inshoot out) / (amount of blue seed used for sorting (g) x percentage DB seed detected therein).Since no strong drop in DB depletion efficiency was observed between 15% and 30% shoot outof dark blue seeds, it seems feasible to further increase the amount of dark blue shoot out more(e.g., 40 % or 50% by weight) to further increase the depletion of disomic (3n) seeds.Also, testing other H object settings in the low L+S method, it was found that essentially anyHue object setting including the range from 354 ≤ H to H ≤45 also works fine, as well as minorvariations of + / - 3 thereof.The low L+S and low L methods were tested further on two of the same lines as above (Line iiand Line iii in table 7a) and 1 additional other wheat line producing blue seeds with 1n, 2n, and 3n blue aleurone, and “white” seeds without blue aleurone. All these seedlots were derived from wheat lines which went through 2 subsequent amplification rounds and hence contained a higher percentage of DB seeds. To test further the efficacy of the two methods 40% and 50% of the darkest blue seeds were shot out from Line ii and iii. In case of the other line 20% and 40% of the darkest blue seeds were shout out. A sample between 143-164 randomly picked seeds from the different dark blue shoot out fractions was analyzed by PCR for the copy number of theBLA locus. The seeds from the reference aliquot were analyzed to determine the compositionof the blue seed fraction prior to the shoot outs. Seeds genotyped as 0n seeds are “white”seeds containing no BLA locus, seeds genotyped as 1n or 2n are monosomic seeds (the de- sired maintainer), seeds genotyped as 3n seeds are disomic (double blue, 3n blue aleuronelayer) seeds (undesired). Results are shown in the following Table 7b. Table 7b Composition of shoot out Amount blue seeds be- DB Re- Maintai- fore shoot shoot % % % moved ner loss Material Sample typeout (g) out (g) 0N 1N+2N 3N (%) (%) Line Composition before ii_BLADB shoot out na na 3 43 54Line Lightness method ii_BLA(40%) 145,5 55,5 0 21 79 56 17Line Lightness method ii_BLA(50%) 145,5 71,6 0 28 72 66 30Line ii_BLA L+S method (40%) 145,5 56,2 0 15 85 61 13Line ii_BLA L+S method (50%) 145,5 72,1 0 22 78 72 24Line Composition before iii_BLADB shoot out na na 0 63 37Line Lightness method iii_BLA(40%) 138,6 55 0 50 50 54 51Line Lightness method iii_BLA(50%) 138,6 70 0 48 52 71 38Line iii_BLA L+S method (40%) 138,6 55,4 0 38 62 67 24Line iii_BLA L+S method (50%) 138,6 71 0 38 62 86 31Line Composition before iv_BLADB shoot out na na 1,5 80,5 18Line Lightness method iv_BLA(20%) 64,1 14,4 0 63 37 46 17Line iv Lightness method BLA(40%) 64,1 26,8 1 63 36 84 32 Line iv_BLA L+S method (20%) 64,1 13,6 0 57 43 51 15Line iv_BLA L+S method (40%) 64,1 26 0 65 35 79 32For Line ii and Line iii, the efficiency of DB depletion increased as compared to the shoot out of 30% for Line ii from 61% (30% shoot-out) to 72% in case of 50% shoot out with the L+S methodand to 66% in case of the Lightness method, and for Line iii from 58% to 86% in case of 50%shoot out with the L+S method and to 71% in case of the Lightness method. For the new seed- lot (Line iv) the DB removal was best at 40% shoot out of the darkest blue seeds both with the L+S and the Lightness method, achieving a depletion of the total amount of DB seeds of 79%and 84%, respectively. Table 7b also shows the % loss (by weight) of maintainer seed (1n / 2nseed) in the shoot-out, showing that often the L+S method has lower losses of maintainer seedthan the lightness method. Example 6: light blue (LB) shoot-out methodThe maintainer fraction in a blue aleurone-based 2-line wheat hybrid system should fulfill 2 crite-ria: a) a low amount of dark blue 3n Bla (disomic) seeds, and b) a low amount of male- sterile“white” seeds. After a first blue aleurone seed shoot out, usually approx.5-15% of white seedsremain in the blue seed fraction (e.g., using an H71 / S255 / L123 backlight color). A target for themaintainer seed stream is to contain less than 5% “white” male-sterile seeds, hence a sortingstep may often be required to remove white seeds. A new concept of a light blue shoot out wastested, in an attempt to not only deplete (further) for 3n Bla (disomic) seeds, but in parallel alsoreduce the amount of white seeds.Based upon the results / knowledge obtained from the low L+S Dark Blue shoot out method, theL and S settings were modified. The attempt was to get a high amount of white seeds in the shoot-out as well as optically only very dark blue seeds in that shoot-out, and no obvious loss of light blue seeds.In a first protocol the Smax and Lmax object settings were fixed at 98 and 140, respectively. TheSmin and Lmin values were remarkably similar for the extreme seedlots (lightest and darkest)tested. For the darkest seedlot the settings were 55 for Smin and 96 for Lmin whereas for the light-est seedlot the settings were 62 for Smin and 102 for Lmin (H object setting: 345-45 or 354-54).Typically, with one shoot-out of this method the percentage of “white” seeds dropped from 6-15% to 2-3 % in the blue fraction. The best HSL background settings in this method were :H47 / S255 / L150 for the H:354-54 object setting, and H0 / S255 / L110 for the H:345-45 object set-ting.In one test, pre-sorted blue seeds (shot-out from a mixture or blue and white, so enriched inblue seeds) from the same wheat lines grown in Gatersleben, Germany and Milly, France, weresorted using different sorting strategies. Sorting strategy A used for the seeds from Milly was the LB-DB shoot-out method of Example 1, done 4 times, and sorting strategy B for the seeds from Gatersleben was the Light blue shoot-out method, done 2 times, and then the LB-DB method of example 1 once. The results are shown in Table 8 below. Both strategies used theH71 / S255 / L123 backlight settings on the ASM® EUREKA sorter, with the HSL object settingsfor the LB Shoot Out protocol as follows : H: 348-48, Smin: 55, Smax: 140, Lmin: 48, Lmax: 110 (pixelsize 1000), and the HSL object settings for the LB-DB shoot-out method as described in Exam- ple 1. Table 8 No of Sorting Strategy Name Seed typeseeds ana- Composition in Percent lyzed 1n + 2n white 3n Blue Blue steriles Line 1 sorted blues 508 71 29 0,6ALine 2 sorted blues 512 55 44 1,4Line 3 sorted blues 513 58 42 0,0average : 61 38 1Line 1 sorted blues 514 85 14 0,4BLine 2 sorted blues 496 74 26 0,4Line 3 sorted blues 516 78 18 3,7average : 79 19 1Hence, the sorting strategy including the light blue shoot out method gave a significantly im-proved reduction of 3n dark blue seeds (from 38 on average to 19 %).In another test, using a pre-sorted rejected blue fraction from an initial sorting to improve whiteseed purity, it was tested what ranges can be used for the HSL object settings in the LB Shoot out method for different types of blue aleurone seed genotypes, so as to shoot our light blue seeds and retain dark blue and white seeds. The protocol was established as such that the dark blue seeds and the white seeds remain in the kept seed fractions and only the light blue seeds are shot out. Testing was performed as follows: mixed seedlots were sorted into blue and white fraction and the Light Blue shoot out protocol was performed on the (ejected) blue fraction. To test the protocol’s efficiency, the white seeds were removed manually from the re-tained blue fraction to obtain a true blue videometer value and 2 full petri dishes of this fractionwere subjected to videometer analysis to get the mean value per plate. The averaged value of the 2 measurements was compared to the averaged mean videometer value of 2 full petri dishes of the shot out fraction. A significant lower value of the retained blue value versus the value of the shot out fraction indicates a preferential shoot out of the light blue (1 and 2 n blue) seeds. The shoot out with the different Bla lines and the different backlight HSL settings was performed such that the target amount of light blue shoot out (which was estimated from theknown amplification rounds performed on these seedlots to be approx.30%) was adjusted onlyby either increasing the pixel size (starting with 600) in case of overshooting, or decreasing thepixel size (in case of undershooting) of the object settings. This was tested on 6 seedlots (3lighter and 3 darker blue aleurone seedlots). The HSL backlight and pixel settings used herethat provided a good light blue seed shot-out were H71 / S255 / L123 with pixel size 350-450, suchas pixel size 400, H0 / S255 / L110 with pixel size 550 to 650, such as pixel size 600;H20 / S255 / L150 with pixel size 550 to 650, such as pixel size 600, and the H47 / S255 / L123 withpixel size 650 to 750, such as pixel size 700, while white and cyan backlights (with pixel size re-duced to 300) did not allow for any good light blue shoot out - even with very low pixel sizes avery low amount of blue seeds was shot out and those seeds contained white seeds, which re-sulted in very light videometer values (not shown below). See Table 9 indicating the videometervalues of a LB Shoot out of 3 light blue (L) or dark blue (D) Bla seedlots (backlightH20 / S255 / L150), and Table 10 showing the testing of different backlight colors for the dark blueD3 line.In this LB shoot out method, the Lmin object setting for the light blue seed to be shot out that canbe used is: 97≤Lmin≤110, such as an Lminof 105, and the Sminobject setting can be: 65≤Smin≤75, such as an Smin of 70, while the Lmax can be: 138-145, such as an Lmax of 140, and the Smax can be: 95-255, such as an Smaxof 120. It was found that the Hue setting of the object to be sorted-out can be 345≤H≤45 or 344≤H≤45,but can be any H range, as long as the range from H≥354 and H≤45 is included (i.e., including354≤H≤45), e.g. the entire H range (e.g., from 345 to 344). Table 9 videometer shot out videometer Bluesretained Blues delta shot vs retained bluesLine L1_BLA -1,04 -1,4 -0,36Line L2_BLA -0,79 -1,05 -0,26Line L3_BLA -0,9 -1,11 -0,21Line D1_BLA -1,44 -1,7 -0,26Line D2_BLA -1,23 -1,62 -0,39Line D3_BLA -1,15 -1,58 -0,43Table 10videometer shoot out videometer retained delta shot vs Backlight pixel size(g) shot out blues blues retained bluesH20S255L150 600 305 -1,15 -1,58 -0,43H71S255L123 400 310 -1,16 -1,74 -0,58H0S255L110 600 320 -1,14 -1,64 -0,5H47S255L123 700 319 -1,26 -1,62 -0,36Cyan 300 43 -0,75 nd **White 300 43 -0,67 nd ****: light values of shot out blue seeds because white seeds occur in the shoot outExample 7: sorting disease-infected seeds with dark spots from non-infected wheat seedsIn this example, 100 g of an ergot infected wheat seed fraction containing ergot fruiting bodies and dark spotted / dark colored seeds (next to non-infected seeds) were mixed with 300 g of anon-infected wheat seed batch from a hybrid. Before mixing, the videometer mean values of 2full petri dishes of both fractions was determined (ergot infected fraction: videometer value of0.95, clean seed fraction: videometer value 1.48). After mixing the two the same was done forthe resulting mixed fraction (videometer value mixed fraction: 1.18). The mean value of the er-got infected seed fraction was the lowest, and the mean value of the mixed fraction is in be-tween the (dark) value of the ergot-infected fraction and the (light) value of the clean seed frac-tion. To test the impact of different backlight color on the effectiveness of removing the ergotfruiting bodies and dark colored seeds from the clean seeds by a dark shoot out protocol (lowL / lightness method, HSL object settings: H≥354 H≤54, Lmin: 0, Lmax: 110, Smin: 50, Smax:90, pixel size 200 (to cover small dark spots)), one sorting / shoot-out was performed on the ASM® EUREKA sorter, and the shoot out as well as the retained fraction were inspected with the videometer. The obtained values are the averages from the inspection of 2 full plates.An effective shoot out is characterized by a dark shoot out fraction (low videometer value) andlight retained fraction. A value of the retained fraction approximately as high as the reference ofthe clean seeds (1,48), indicates an efficient removal of ergot fruiting bodies and dark, coloredseeds. Such result was achieved with the H71 (green) and H20 (orange) backlight colors only,and almost with H0 (red). For the latter it should be noted, that for a better result the Lmax value could have been slightly increased, to shoot out 77g (as in case of H71 green and with an in- crease of Lmax to 117 for H20 orange) and not only 61g. However, the lightness of the retained fraction resulting from the shootout with either cyan orwhite backlight are significantly lower (1,33 and 1,38) than the reference and the fractions werealso visually less clean (still containing some fruiting body pieces and colored dark seeds), de-spite the fact that the shootout amount was higher. This result (see Table 11) clearly demon-strates the superior performance of the red, green or orange backlights for the removal of ergotand / or dark colored infected seeds versus the standard cyan or white backlights.Table 11 shoot Background out videome- retained videometer (g) ter mean fraction mean H71 green 77 0,81 1,48Cyan 100 1,04 1,33H0 red 61 0,73 1,45white 95 0,95 1,38H20 orange 42 0,51 1,40L max 117 77 0,77 1,48Example 7: Sorting-out darker red rice from a red rice sampleThe preferred backlight HSL settings with the low L object settings as used for sorting out darkblue aleurone seeds were also tested to get a more uniform rice seed batch from a commercialpackage of 500 grams red rice grains (having lighter and darker red seed color). The lightness(low L) method was applied to shoot out a proportion (about 12%) of the darkest seeds (contain- ing more colorants / pigments such as anthocyanins and / or proanthocyanidins) from the red rice batch to give it more homogeneous appearance. The protocol settings were derived from pic- tures of red rice grains, taken in the ASM® EUREKA sorter and adapting those in a way, that allgrains in the picture were recognized by the settings. The protocol was then modified by alteringthe Lminto 0 and the Lmaxto a value leading to the shoot out of approximately 60 gram of thedarkest red seeds. To compare the efficiency of various different backlight colors / HSL settings,the videometer value of the shot-out fraction, as well as the videometer value of the resulting / re- tained fraction was determined (values are given in averaged mean values of 2 petri dishes (ap- prox.620 seeds each)). The lower the videometer value of the shoot-out with the same weight, or the higher the value of the resulting / retained fraction respectively, the more effective the cho- sen backlight is for this purpose.The Table 12 below shows the results.Backlight Hue (with Lmax object shoot out weight Videometer va- Videometer valuesetting tested)(gram) lue shoot out retained fraction H71L100 13,4 -0,24 0,73L120 59 0,01 0,77H111L120 61,5 0,1 0,7H20L120 40,6 -1,26L123 61 -0,06 0,8H0L123 23,4 -0,32L127 76,7 -0,15L125 60,3 -0,24 0,75WhiteL125 36 0,26L128 58 0,28 0,56 CyanL123 29 0,25L127 60,8 0,42 0,59The backlights with H71, H111, H0, or H20 all resulted in improved sorting of dark red rice re- moval, resulting in an overall more homogenous and slightly lighter appearing red rice sample, as compared to the cyan or white backlights. The backlights as indicated by H value only in the above Table were the ones described in Fig-ure 4-9 so H71 / S255 / L123 or H20 / S255 / L150 (cyan backlight was H180 / S255 / L128 and whitebacklight was H0 / S255 / L255),

[0004] List of reference numberssorting devicecereal seednon-colored cereal seedseed containing a blue aleuroneseed feederseed streamsorting stationfeed hopperchutevibratory feederbacklight devicefront light devicecamerafirst backlight devicefirst camerafirst sidesecond sidesecond backlight devicesecond cameraejectorpneumatic ejectortarget chutesort-out chutecontrollersupplying a seed streamtaking an imageidentifying seeds to be sorted outejecting seeds identified to be sorted outangle around the centerdistance from the centerboxx axisy axismixed fraction of cereal seedsfirst backlightejected fraction of seedsretained fraction of seedssecond backlightfirst round of sortingsecond round of sortingwaste fraction of cereal seedsthird round of sortingfourth round of sortingfourth backlightthird backlight

Claims

Claims1. A method of sorting cereal seeds (112), wherein the cereal seeds (112) contain non-col-ored cereal seeds (114) and seeds containing a blue aleurone (116), or contain darkercolored seeds containing a blue aleurone and lighter colored seeds containing a blue al- eurone, the method comprising:i. supplying a seed stream (120) to a sorting station (122), the sorting station (122)comprising at least one backlight device (130) for backlighting a seed (112) of the seed stream (120) and at least one camera (132) for taking at least one image of the backlighted seed; ii. taking, with the camera (132), at least one image of the backlighted seed of theseed stream (120);iii. automatically identifying, from the image taken in step ii., seeds to be sorted outfrom the seed stream (120); andiv. automatically ejecting seeds identified to be sorted out from the seed stream (120),wherein the at least one backlight, in the HSL color space, has a H coordinate of H ≤ 150or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80.

2. The method according to the preceding claim, wherein, in step iii., seeds to be sorted outfrom the seed stream (120) are identified by identifying, in the image, objects cumulatively fulfilling the following conditions: -the objects have predefined color coordinates, specifically color coordinates in apredefined range in the HSL color space, and -the objects have one or more of a predefined area, a predefined size, a predefineddiameter, a predefined equivalent diameter and a predefined shape.

3. The method according to any one of the preceding claims, wherein the at least one back-light, in the HSL color space, has a H coordinate in at least one range selected from thegroup consisting of: -0 ≤ H < 25 or H ≥ 310, specifically excluding a range of 332 ≤ H ≤ 338;- 70 ≤ H ≤ 150;- 25 ≤ H ≤ 70.

4. The method according to any one of the preceding claims, wherein the at least one back-light, in the HSL color space, has a S coordinate of 0.25 ≤ S ≤ 1.0, specifically of 0.5 ≤ S ≤1.0, more specifically of 0.75 ≤ S 1.0.

5. The method according to any one of the preceding claims, wherein the at least one back-light, in the HSL color space, has at least one color selected from the group consisting of:a S coordinate of 0.25 ≤ S ≤ 1.0 and a H coordinate of 25 ≤ H ≤ 70, wherein the at leastone backlight, in the HSL color space, has a L coordinate of 0.35 ≤ L ≤ 0.78; a S coordi-nate of 0.33 ≤ S ≤ 1.0 and a H coordinate of 70 ≤ H ≤ 150, wherein the at least one back-light, in the HSL color space, has a L coordinate of 0.28 ≤ L ≤ 0.63; a S coordinate of 0.40≤ S ≤ 1.0 and a H coordinate of 25 ≤ H or H ≥ 310, wherein the at least one backlight, inthe HSL color space, has a L coordinate of 0.13 ≤ L ≤ 0.78.

6. The method according to the any one of the preceding claims, wherein the seeds to besorted out from the seed stream (120) are the seeds containing a blue aleurone (116).

7. The method according to anyone of the preceding claims, wherein the method is a contin-uous method, wherein, in step i., a continuous seed stream is supplied to the sorting sta- tion (122), wherein, in step ii., a continuous stream of images is taken of the seed stream(120), and, wherein, in step iii., the stream of images is continuously evaluated for contin- uously identifying seed to be sorted out from the seed stream (120).

8. The method according to any one of the preceding claims, wherein a batch of seeds isprovided, and wherein the batch of seeds is subjected to method steps i.-iv. repeatedly, wherein, in each repetition, the batch is diminished by the seeds ejected in step iv. of theprevious run.

9. The method according to any one of the preceding claims, wherein the method furthercomprises at least one second spectral seed sorting step, wherein the second spectral seed sorting step comprises determining at least one item of spectroscopic information on the seeds (112) of the seed stream (120), such as near-infrared spectroscopic infor-mation, wherein the at least one item of spectroscopic information is used for automati- cally identifying seeds to be sorted out from the seed stream (120).

10. The method according to any one of the preceding claims, wherein the method comprisesperforming steps i. to iv. with at least one first backlight (202), the first backlight (202), inthe HSL color space, having a H coordinate of H ≤ 150 or H ≥ 310 and a L coordinate of0.10 ≤ L ≤ 0.80, wherein the method further comprises repeating steps i. to iv. using one of an ejected fraction of seeds (204) or a retained fraction of seeds (206) with at least one second backlight (208), the second backlight (208), in the HSL color space, having a Hcoordinate of H ≤ 150 or H ≥ 310 and a L coordinate of 0.10 ≤ L ≤ 0.80, wherein the sec-ond backlight (208) is different from the first backlight (202).

11. The method according to the preceding claim, wherein the method comprises separatelyrepeating steps i. to iv. with the ejected fraction of seeds (204) and the retained fraction of seeds (206).

12. The method according to any one of the preceding claims, for sorting out blue aleuroneseeds from a seed mixture containing darker and lighter blue aleurone seeds (116) andnon-colored seeds (114), wherein a sorting protocol uses a combination of a) the HSL ob-ject settings for the dark blue aleurone seed (116) as provided by the sorting device (110)and b) the HSL object settings for the light blue aleurone seed (116) as provided by thesorting device (110), such as by sorting out: (1) objects in the image having a H coordi-nate of 5≤H≤65, a S coordinate of 18≤S≤82, an L coordinate of 88≤L≤145 and a size of 200-1500, or 400-1000, or at least 700 pixels and (2) objects in the image having a H co-ordinate of 19≤H≤79, a S coordinate of 19≤S≤83 and a L coordinate of 62≤L≤130 and a size of 200-1500, or 400-1000, or at least 700 pixels, preferably using an HSL backlight setting with a Hue value of 340, 71 or 0, which method can be performed once or can be repeated several times, such as repeating 1-3 times, to maximize non-colored seed purity, or said method wherein objects in the image have a H coordinate in (1) and (2) comprising the range of 354≤H≤45.

13. The method according to any one of claim 1 to 11 for sorting out dark blue 3n aleuroneseeds from a seed mixture containing dark blue 3n aleurone seeds and light blue 1n or 2n aleurone seeds, which mixture may contain non-colored seed, wherein L object settings as provided by the sorting device (110) for the dark blue 3n aleurone seeds, are modified by lowering the Lminobject settings to at least the value of the darkest seed to ensure a shoot-out of the darkest blue seeds, and wherein the Lmax is set to a value resulting in theshoot-out of a desired % by weight of the darkest seeds, and wherein the H object settingis any H range comprising 354≤H≤45, and such a method wherein the backlight is as de- scribed in any one of the preceding claims, or is a white LED backlight or a backlight with an L coordinate of L = 255 (white).

14. The method of the preceding claim, wherein the amount of dark blue 3n aleurone seed ina batch of blue aleurone seeds (116), is reduced by reducing the Lmin object setting valuesof a recipe, such as an Lminof 0 or 0≤Lmin≤60 or 0≤Lmin≤30, such as with an Lmaxof 78≤Lmax≤127, where the Lmax value depends on the % or amount of dark blue 3n aleuroneseed, which is to be removed and depending on the darkness of a seed lot.

15. A sorting device (110) for sorting cereal seeds (112), comprising:I. at least one seed feeder (118) for supplying a seed stream (120) to at least one sort-ing station (122); andII. the at least one sorting station (122), comprising at least one backlight device (130)for backlighting seeds of the seed stream (120), the sorting station (122) furthercomprising at least one camera (132) for taking at least one image of the back-lighted seed, and the sorting station (122) further comprising at least one ejector (146) for ejecting seeds from the seed stream (120),wherein the sorting device (110) is configured for performing the method according to any one of the preceding claims.

16. A computer program comprising instructions which, when the program is executed by thesorting device (110) according to any one of the preceding claims referring to a sorting de-vice (110), causes the sorting device (110) to perform the method according to any one ofthe preceding claims referring to a method.

17. A computer-readable storage medium, comprising instructions which, when the instruc-tions are executed by the sorting device (110) according to any one of the preceding claims referring to a sorting device (110), cause the sorting device (110) to perform themethod according to any one of the preceding claims referring to a method.

18. A use of the sorting device (110) according to any one of the preceding claims referring toa sorting device (110) for a purpose of use, selected from the group consisting of: sortingout of colored seeds from a mixture of seeds containing non-colored seeds and colored seeds; sorting out of colored cereal seeds from a mixture of cereal seeds (112) containing non-colored cereal seeds (114) and colored cereal seeds; sorting out of colored cereal seeds containing a blue aleurone (116) from a mixture of cereal seeds (112) containingnon-colored cereal seeds (114) and cereal seeds containing a blue aleurone (116); sorting out of colored cereal seeds containing a dark blue 3n aleurone (116) from a mixture of ce- real seeds containing a 1n, 2n and 3n blue aleurone (116), which mixture may contain non-colored cereal seeds (114); sorting out of colored cereal seeds containing a blue al- eurone (116) from a mixture of cereal seeds containing a blue aleurone (116) and non- colored cereal seeds (114); sorting out of lighter colored cereal seeds containing a 1n or 2n blue aleurone (116) from a mixture of cereal seeds containing a 1n, 2n and 3n blue al- eurone (116), which mixture may contain non-colored cereal seeds (114); sorting out ofcolored cereal seeds containing a blue aleurone (116) from a mixture of cereal seeds(112) containing non-colored cereal seeds (114) and cereal seeds containing a blue aleu- rone (116) using at least one backlight having, in the HSL color space, a H coordinate of 70 ≤ H ≤ 150; sorting out of colored cereal seeds containing a blue aleurone (116) from amixture of cereal seeds (112) containing non-colored cereal seeds (114) and cereal seeds containing a blue aleurone (116) using at least one backlight having, in the HSL colorspace, a H coordinate of 25 ≤ H ≤ 70; sorting out of colored cereal seeds containing ablue aleurone (116) from a mixture of cereal seeds (112) containing non-colored cereal seeds (114) and cereal seeds containing a blue aleurone (116) using at least one back-light having, in the HSL color space, a H coordinate of 0 ≤ H < 25 or H ≥ 310.

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