24 results about "Leaf base" patented technology

The invention discloses an image restoration method for soybean leaf phenotype analysis. The method comprises the following steps: firstly, complementing missing edge information of soybean leaves through an edge generation network; then, extracting a coarse-to-fine layered feature map from the complemented edge information by using a structural auto-encoder, and inputting the layered feature map as a guide feature into an image restoration network to assist a restoration process; the soybean leaf structure information is accurately repaired based on the guiding characteristics; and finally, according to the completely repaired leaf image, obtaining phenotypic parameters such as a leaf area index, a structure texture and a color of the soybean plant. By means of the mode, gradient structured edge information and hierarchical feature guidance are introduced, the repairing effect of the soybean leaf picture can be improved, and therefore support is better provided for accurate and complete analysis of soybean leaf phenotype data.

The invention relates to the technical field of image acquisition, in particular to an insect pest image acquisition method for vegetable insect pest prevention and control, which comprises the following steps: accurately extracting a single leaf in a leaf image through vein features of vegetable leaves, and obtaining a complete leaf and a sheltered leaf; then determining an insect pest gnawing area in the single leaf based on color characteristics of leaf meat in the single leaf and continuity of leaf veins; based on the number and area characteristics of pest gnawing areas, the pest gnawing degrees of the complete leaves and the sheltered leaves are quantified; and finally, according to different gnawing degrees of insect pests, different image acquisition modes are adopted for different leaves. By means of the method, more accurate positioning and collection of the pest gnawing area can be achieved, detection errors caused by leaf shielding in a traditional method can be avoided, and more targeted data support is provided for follow-up pest gnawing degree evaluation and prevention and control scheme making through dynamic allocation of resources.

The invention discloses a moisture calibration type chlorophyll detection system and method, and belongs to the technical field of chlorophyll detection, and the system comprises a heating sheet used for heating plant leaves to evaporate moisture; the condensing sheet is used for condensing the evaporated water into liquid drops to obtain condensed water drops; the gravity sensor is used for weighing plant leaves to obtain the weight of the leaves; and the SPAD chlorophyll measuring instrument is used for performing chlorophyll measurement on the plant leaves which reach the target leaf moisture content after moisture evaporation to obtain the relative chlorophyll content of the plant leaves. According to the method, the water content of the plant leaves is rapidly and accurately calibrated based on the system, and the relative chlorophyll content of the plant leaves is measured. The method solves the problem that it is difficult to quickly and accurately calibrate the water content of the plant leaves.

The present disclosure relates to a vein determination method, apparatus, electronic device, and storage medium. The method includes: determining unique edges in triangular faces by using vertex coordinates of a plurality of triangular faces constituting a leaf model to obtain multiple edge edges of the leaf model, determining an edge vertex sequence based on the multiple edge edges, determining vein feature points based on the edge vertex sequence, and finally determining the shortest path between the vein feature points and the petiole point as the vein of the leaf model, so that it is possible to determine the vein in the leaf model corresponding to a radially shaped leaf based on the vertex coordinates of the multiple triangular faces of the leaf model.

The invention discloses a gene IsMYBL2 derived from phallus impudicus petals. The invention provides an IsMYBL2 gene for promoting anthocyanin synthesis of phallus impudicus and application of the IsMYBL2 gene. The nucleotide sequence of the gene IsMYBL2 is as shown in SEQ ID NO. 1, and the amino acid sequence coded by the gene IsMYBL2 is as shown in SEQ ID NO. 2. A VIGS silencing system is constructed in the phallus impudicus floral part, it is found for the first time that accumulation of anthocyanin can be promoted through transient expression of IsMYBL2 in the phallus impudicus leaf base part, and flower color can become light through silencing of IsMYBL2 in the phallus impudicus floral part by using a VIGS technology. The overexpression of the IsMYBL2 gene can deepen the colors of tobacco leaves, stems, flowers and other positions. The IsMYBL2 gene provided by the invention not only provides a theoretical reference for research on flower color regulation and control of phallus impudicus, but also provides an important gene resource for flower color breeding work in the future.

The invention provides an agrobacterium-mediated bamboo reed genetic transformation method, which belongs to the technical field of plant genetic engineering.The method comprises the following steps that leaf bases of aseptic seedlings of bamboo reeds are cut and placed in a pre-culture medium without inositol for pretreatment; the pretreated leaf bases are collected, a maltose solution containing L-Gln is added, cold shock treatment is conducted, after the maltose solution is removed, agrobacterium suspension containing L-Gln is added for infection, and then the leaf bases are inoculated into a co-culture medium without inositol to be cultured; and performing callus induction on the cultured leaf base. According to the method disclosed by the invention, the leaf base of the tissue culture seedling is taken as a receptor material, and through combined treatment of inositol removal, L-glutamine removal and cold shock, the genetic transformation efficiency of the Agrobacterium tumefaciens-mediated bamboo reed is successfully and remarkably improved, and a new way is provided for genetic improvement of bamboo reed varieties and related gene function research.

The invention discloses a method for dynamically inverting the net photosynthetic rate of a plant leaf based on a transmission spectrum, and relates to the technical field of testing and analysis. Different from a reflection spectrum, a transmission spectrum directly penetrates through leaf tissues and contains light absorption and scattering information of substances (chlorophyll, moisture and structures) in the leaves, the distance between a spectrum detector and the leaves is close to 0 and is not affected by environmental conditions, and optical characteristics related to the photosynthesis core process can be reflected more directly. The method aims to overcome the defects in the prior art, a rapid, lossless, efficient and accurate Pn dynamic monitoring technical means is provided for crops of different photosynthetic types, and the requirements of precise agricultural management are met.

The application discloses a method for dynamically inverting a net photosynthetic rate of a plant leaf based on a transmission spectrum, and relates to the technical field of testing and analysis. Different from the reflection spectrum, the transmission spectrum directly penetrates the leaf tissue, contains absorption and scattering information of the light by the internal substances (chlorophyll, water and structure) of the leaf, the distance between the spectrum detector and the leaf is close to 0, is not affected by environmental conditions, and can more directly reflect the optical characteristics related to the core process of photosynthesis. The method aims at overcoming the shortcomings of the prior art, providing a fast, non-destructive, efficient and accurate Pn dynamic monitoring technical means for crops of different photosynthetic types, and serving the needs of precision agricultural management.

The present invention belongs to the field of polarization detection technology, and specifically relates to a method for characterizing the water content of plant leaves using polarization information, comprising the following steps: S1, using a polarization imaging system to obtain a polarization image of a target leaf; S2, obtaining a Mueller matrix of each pixel of the target leaf based on the polarization image of the target leaf; S3, calculating the covariance matrix corresponding to the Mueller matrix of each pixel, and obtaining an eigenvalue from the covariance matrix; S4, calculating the depolarization index of the target leaf based on the eigenvalue, and displaying the image using the depolarization index value as a grayscale value to obtain a depolarized image. The depolarized image can clearly show the area and range of changes in the microscopic structure of the target leaf, and can obtain more information about the target leaf.

The invention relates to the technical field of artificial intelligence, in particular to a shape descriptor-based pest and disease damage identification method, device and system and a medium, and the method comprises the steps: obtaining a leaf image of a leaf, detecting a plurality of sampling points from the leaf image, extracting the local triangular feature of each sampling point, and obtaining the local triangular feature of each sampling point; generating image features of the blade based on the local triangular features; generating text features of plant diseases and insect pests based on the leaf image, performing position coding on the image features, and splicing the image features with the text features to obtain fusion features; inputting the fusion features into a pre-trained disease and insect pest recognition model, and recognizing to obtain disease and insect pests of the leaves; wherein the disease and pest recognition model is obtained by training a ViLT model in advance; according to the invention, the accuracy and robustness of plant disease and insect pest identification can be improved.

The invention discloses an application of a GmCDC48c gene and an encoded protein thereof in regulation and control of soybean Cd resistance and accumulation. The soybean GmCDC48c gene is knocked out through gene editing to obtain a knockout mutant, under the stress of Cd, compared with WT, a mutant plant is short and small, the leaf base is red, the whole leaf curls, but the Cd concentration of grains is reduced, and Cd accumulation of soybeans is reduced. Therefore, the GmCDC48c gene is a regulatory factor for coding Cd resistance and accumulation, and can provide a new gene target for soybean genetic breeding.

Disclosed herein is a system and methods for leaf detection and extraction. The extracted leaf may be used for leaf water potential analysis. In some embodiments, the method comprises identifying the leaf from a point cloud based on an image, determining a pose of the leaf based on the point cloud, and cutting and storing the leaf based on the pose of the leaf.

The utility model relates to the field of flower packing technology especially is a kind of stem and leaf root cutting and collecting device for flower packing machine, including packer body, rotary feeding mechanism, blanking groove and cutting mechanism, the packer body is rectangular frame body structure, and the inside of packer body is provided with rotary feeding mechanism, and one end of rotary feeding mechanism is provided with cutting mechanism;Cutting mechanism includes receiving table, advancing table, first pneumatic cylinder, gather support, second pneumatic cylinder, rack, cutting shear and first driving motor, receiving table is respectively connected with screw rod and slide bar on body through the connecting hole and screw hole of one end, and advancing table is movably arranged on the upper portion of receiving table, and advancing table is symmetrically provided with gather support;Gather support is connected with the support plate of advancing table through the connecting shaft of one end, and the gear on connecting shaft is engaged with rack. The utility model can realize automatic cutting, and the rootstock after cutting is guided and transported, to improve packing efficiency.

The invention discloses a method for improving the cotton yield through GhAT1 gene knockout and application, and belongs to the technical field of plant genetic engineering. According to the invention, a cotton transgenic plant with the GhAT1 gene knocked out is obtained through a transgenic technology, so that leaf base spots and stalks of the transgenic plant become green; field test yield character analysis shows that the growth and development of the GhAT1 gene knockout plant are not affected, the effective boll number is increased, the yield is remarkably improved, and the fiber quality is not affected, which indicates that the GhAT1 gene knockout plant has an important effect on the aspect of improving the cotton yield. The invention provides favorable gene resources for the cultivation of high-yield cotton varieties, and provides a cotton variety cultivation method capable of improving the yield.

The invention discloses a method for quantitatively measuring and calculating the light energy absorption amount of plant leaves based on a laser light-supplementing lamp, and belongs to the technical field of plant optical detection and analysis. The technical problems that existing light energy absorption detection on plant leaves generally focuses on measurement under standard experiment conditions, cannot adapt to changeable and complex conditions in practical application and still has certain limitation and instability in practical research are solved. The method comprises the following steps: S1, collecting photosynthetically active radiation photon flux density data of plant leaves under an influence factor x; s2, calculating transmissivity and reflectivity of the plant leaves according to the photosynthetically active radiation photon flux density data; s3, correcting the transmissivity of the plant leaf to obtain a corrected transmissivity, and calculating an attenuation coefficient of the plant leaf to the laser based on the corrected transmissivity; and S4, constructing a quantitative measurement and calculation model for the light energy absorption amount of the plant leaf based on the attenuation coefficient of the plant leaf to the laser.

The application discloses a SPAD value prediction method and system based on fresh leaf color recognition, and the method comprises the following steps: controlling a shooting device to collect fresh leaf real-time samples and uploading the samples; performing sample pretreatment to obtain fresh leaf sample characteristic values; and predicting the SPAD value of the fresh leaf based on a pre-deployed fresh leaf SPAD value prediction model and the sample characteristic values, to obtain the SPAD value prediction of the fresh leaf real-time sample. The application controls the real-time collection and uploading of fresh leaf images on site, and completes sample pretreatment by using image processing technology, and then combines the pre-deployed fresh leaf SPAD value prediction model, so that the low-cost real-time prediction of the SPAD value of the whole fresh leaf in a complex field environment is realized.

The invention relates to the technical field of plant tissue culture, in particular to an onion tissue culture seedling subculture method which comprises the following steps: S1, disinfecting and aseptically germinating onion seeds, and culturing until the leaf bases of seedlings change color and expand; s2, cutting off leaves and root systems of the seedlings obtained in the step S1 under a sterile condition, and retaining expanded parts of leaf bases to obtain tissue blocks containing growing points; s3, cutting the tissue block into small blocks; and S4, inoculating the cut tissue blocks into an induction culture medium, and culturing and inducing the tissue blocks to regenerate and form complete tissue culture seedlings. According to the onion tissue culture seedling subculture method, seeds with disinfected surfaces are used as starting materials, pollution is controlled from the source, and the initial pollution rate is reduced; by selecting a seedling growing point at a leaf base discoloring and expanding stage as an explant, the cell meristematic ability is strong, and the inductivity is high; material taking treatment is optimized according to the morphological characteristics of onions, the problem of lateral branch subculture is solved, the process standardization degree is high, and the propagation coefficient is high.

This invention provides a processing method to enhance the usability of medium-grade tobacco leaves, comprising the following steps: (1) vacuum rehydrating the medium-grade tobacco leaves and then cutting the leaf base to obtain leaf body and leaf base; (2) performing a first and second moistening treatment on the leaf body to obtain processed material; (3) performing a first and second moistening treatment on the leaf base, and merging the obtained material with the second leaf body processed material to obtain a combined material; (4) performing vacuum rehydration, moistening, bio-enzyme application, and alcohol treatment on the combined material to obtain alcohol-treated material; (5) mixing the alcohol-treated material with the first leaf body processed material, and performing a first moistening, a second moistening, and inactivation. The processing method provided by this invention is based on the leaf threshing and re-drying process, which can improve the sensory quality defects of medium-grade tobacco leaves, enhance aroma quality, significantly improve its formulation applicability and comprehensive utilization efficiency, revitalize existing low-quality tobacco leaf resources, and provide core technical support for the efficient utilization of raw materials in the tobacco industry.

The invention discloses a method for accurately and efficiently analyzing chrysanthemum leaf shape features. The method comprises the following steps: shooting a leaf RGB (Red, Green and Blue) image and preprocessing the image; drawing a chrysanthemum leaf characteristic curve; chrysanthemum leaf key point detection: screening more significant peaks in the distance characteristic curve through peak value prominence, obtaining a key point set, drawing key points in the leaf image, and verifying the accuracy of key point detection; chrysanthemum leaf feature calculation: further calculating leaf features of leaf length-width ratio, leaf stalk length ratio, apical fissure piece included angle and apical fissure piece relative length for leaf images with correct key point detection; characterizing the similarity of the chrysanthemum leaves: calculating the cross correlation of the distance characteristic curves of the left and right sides of the chrysanthemum leaves so as to characterize the contour mirror symmetry of the chrysanthemum leaves. The characteristics of the chrysanthemum leaves are analyzed on the basis of the RGB images of the chrysanthemum leaves, and the method is efficient and convenient; chrysanthemum leaf features are analyzed based on image processing, dependence on a deep learning algorithm and data labeling training is not needed, and the requirement for computing power is low.

The present invention discloses a method for identifying the top of a crop root and stem, which includes using a camera to collect images of crops with leaves, manually annotating the images, and defining the leaf orientation as the extension line from the leaf center to the heart-shaped edge of the leaf base. Subsequently, deep learning technology is used to learn the annotation information, and a model is established to detect the leaf center and orientation of each visible leaf. The pixel offset between frames is calculated using SIFT / SURF / ORB feature points and descriptors, the position of the leaf center of the previous frame plus the offset is projected, and the closest feature point pairs are continuously matched to determine the stable leaf center orientation. Finally, based on the position and orientation of the leaf center in multiple frames, the degree of fluctuation of the leaf center orientation change is determined, and the position of the crop apical bud is determined along the orientation extension line. This comprehensive method aims to achieve efficient and accurate identification of the top of crop root and stem.

The application discloses a kind of transgenic rootlet induction method of Drynaria fortunei and application thereof, the induction method includes the following steps: S1: picking the third to fourth piece of leaf under Drynaria fortunei terminal bud as explant;S2: preparation of Agrobacterium rhizogenes infection solution and Agrobacterium rhizogenes bacteria;S3: the leaf blade collected in step S1 is placed in the Agrobacterium rhizogenes infection solution obtained in step S2, cut off petiole, expose leaf base, the Agrobacterium rhizogenes bacteria obtained in step S2 is applied in leaf base, to obtain the explant leaf base after inoculation;S4: the explant leaf base after inoculation in step S3 is inserted into sterilized culture medium and is cultured, i.e. hairy root can be induced;The culture medium includes vermiculite and soil.The induction method culture condition is simple, easy to operate, and the transgenic rootlet induction rate is greater than 80% by PCR detection, the induction method effectively breaks through the technical barrier of Drynaria fortunei transgenic system establishment, and the cost is low using pure vermiculite culture medium.

The invention belongs to the technical field of plant measuring tools, and discloses a plant leaf measuring scale, which comprises a main board, a moving assembly, a placing assembly and a rubber belt, the moving assembly comprises a limiting rod fixedly arranged on the surface of the main plate and a plurality of sliding blocks arranged on the limiting rod in a sliding mode, fixing rods are arranged on the two sets of sliding blocks close to the two ends of the limiting rod, the two ends of the rubber belt are fixed to the two sets of fixing rods respectively, scale marks are arranged on the rubber belt at equal intervals, and the whole rubber belt is evenly divided into a plurality of sections. And corresponding proportion values are correspondingly arranged below the scale marks. A leaf to be measured can be fixed in the main plate through the placing assembly, the fixing rod is aligned with the tail end of a leaf stalk and the tip end of the leaf tip, and the stalk-leaf ratio can be obtained by observing the ratio value of the leaf base to the rubber band. The fixing rod at the tail end of the blade handle is moved to the blade base, the base tip ratio can be obtained by observing the proportion value corresponding to the widest position of the blade, important index data can be rapidly and visually measured, and the burden of workers is relieved.

The invention discloses an induction method and application of a cinnamomum camphora transgenic hairy root. The induction method comprises the following steps: S1, picking third to fourth leaves under a terminal bud of cinnamomum camphora as explants; s2, preparing an agrobacterium rhizogenes infection solution and agrobacterium rhizogenes thalli; s3, the leaves collected in the step S1 are placed in the agrobacterium rhizogenes infection liquid obtained in the step S2, petioles are cut off, leaf bases are exposed, agrobacterium rhizogenes obtained in the step S2 are smeared on the leaf bases, and inoculated explant leaf bases are obtained; s4, inserting the leaf base of the explant inoculated in the step S3 into a sterilized culture medium for culture, so as to induce hairy roots; the culture medium comprises vermiculite and soil. The induction method is simple in culture condition and easy and convenient to operate, and the transgenic hair root inductivity gt is detected through PCR; the induction method effectively breaks through the technical barrier of establishment of a cinnamomum camphora transgenic system, adopts a pure vermiculite culture medium, and is low in cost.

The invention discloses a tissue culture method of polygonatum odoratum, and relates to the technical field of plant tissue culture. The tissue culture method of the polygonatum odoratum comprises the following steps: performing dedifferentiation culture on a new root explant of the polygonatum odoratum or a leaf base explant of a tissue culture seedling leaf in a dedifferentiation culture medium to obtain a callus; carrying out multiplication culture on the callus in a multiplication culture medium; performing bud differentiation culture on the proliferated calluses in a bud differentiation culture medium, and inducing and differentiating adventitious buds; the bud differentiation culture medium takes an MS culture medium as a basic culture medium and comprises 3.0-4.0 mg / L of 6-BA, 0.1-0.5 mg / L of NAA, 20-30 g / L of a third carbon source and 5-7 g / L of agar; performing root differentiation culture on the adventitious buds in a root differentiation culture medium to obtain tissue culture seedlings. The tissue culture method is high in induction rate, short in period, high in operability and easy to popularize and repeat.