Apparatus and method for detecting root rot
The root rot detection device uses light of different wavelengths to analyze electrical signals from strawberries, providing a non-invasive method for early detection and prevention of root rot by determining the ratio of these signals, addressing the limitations of current invasive detection methods.
Patent Information
- Application Number
- JP2023172454
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2022-10-14
- Filing Date
- 2023-10-04
- Publication Date
- 2025-01-10
- Estimated Expiration
- 2043-10-04
AI Technical Summary
Current methods for detecting root rot in strawberries are invasive and ineffective, as they require visual inspection of crown browning, which cannot be reversed, and do not allow for early detection or prevention of the spread of the disease.
A root rot detection device that uses different wavelength bands of light to irradiate a target plant, measures electrical signals from reflected and absorbed light, and determines infection based on the ratio of these signals to detect root rot non-invasively.
The device can accurately and non-invasively determine the presence of root rot in plants by analyzing the ratio of electrical signals from different wavelength bands, enabling early detection and prevention of the disease spread.
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Abstract
Description
[Technical field]
[0001] The disclosed embodiments relate to techniques for detecting root rot.
[0002] [Explanation about government-sponsored research and development] This research was supported by the Ministry of Agriculture, Food and Rural Affairs and the Food and Agriculture Technology Planning and Evaluation Institute (Project No.: 1545026075) [Project No.: 1545026075]. [Background technology]
[0003] Pythium root rot is transmitted by pathogenic bacteria through soil or irrigation when temperatures are relatively low and soil is moist. Root rot mainly attacks the young roots of fruits and vegetables, and infected plants fail to establish normal roots, causing stunted growth. This reduces the vigor of infected plants and reduces the size and quantity of fruit.
[0004] In particular, strawberries infected with root rot will have their underground roots rot, browning of the crowns, and ultimately the majority of them will die. At this time, root rot can occur not only during the strawberry seedling stage, but also during the growing period, causing a lot of damage. This is because the lesions rot from the outside to the inside, inhibiting the absorption of nutrients and water, and inhibiting the growth of the above-ground parts. In particular, since the pathogenic bacteria proliferates actively in infected plants and spreads to surrounding plants, diseased individuals must be removed promptly from the early stages.
[0005] However, strawberries infected with root rot do not appear to have any abnormalities in appearance in the early stages. Only when conidiospores of the pathogen are found in the lesions around the crown and roots can the fact that the strawberry is infected with root rot be recognized. In order to cull strawberries infected with root rot, the crowns of strawberries that do not appear to have any abnormalities in appearance must be cut off and visually checked for browning one by one.
[0006] However, once the crowns of strawberries are cut off, they cannot be revived. In the end, existing invasive techniques require randomly selecting and destroying strawberries, making it difficult to detect root rot or stop its spread. [Prior art documents] [Patent documents]
[0007] [Patent Document 1] Korean Patent Publication No. 10-2018-0043082 (Published on April 27, 2018) Summary of the Invention [Problem to be solved by the invention]
[0008] The disclosed embodiments are directed to providing an apparatus and method for detecting root rot. [Means for solving the problem]
[0009] A root rot detection device in one embodiment includes an irradiation unit including a light source that irradiates a target plant placed at a measurement position with first light and second light of different wavelength bands; a measurement unit that analyzes a first reflected light or a first absorbed light of the target plant due to the first light to measure a first electrical signal, and analyzes a second reflected light or a second absorbed light of the target plant due to the second light to measure a second electrical signal; and a discrimination unit that discriminates whether or not the target plant is infected with root rot based on the magnitude of the first electrical signal and the magnitude of the second electrical signal.
[0010] The root rot disease may be caused by Pythium spp. pathogens.
[0011] The target plant may be a strawberry including at least a crown portion, and the crown portion of the strawberry may be irradiated with light from the light source.
[0012] The irradiation unit may separate the light emitted by the light source into wavelengths via a spectroscope and irradiate each of the first light and the second light onto the target plant, or the irradiation unit may irradiate the first light onto the target plant via a first light source included in the light source, and irradiate the second light onto the target plant via a second light source included in the light source.
[0013] The measurement section may include a conversion section that converts the first reflected light and the second reflected light into a first electrical signal and a second electrical signal, each of which includes one-dimensional spectral information.
[0014] In one embodiment, a root rot detection device may include a monitoring unit that displays a first image in 2D format of the target plant, each pixel of which includes first spectral information of the first electrical signal, or displays a second image in 2D format of the target plant, each pixel of which includes second spectral information of the second electrical signal.
[0015] The first light may be light within a wavelength range of 450 nm to 500 nm, and the second light may be light within a wavelength range of 550 nm to 650 nm.
[0016] The discrimination unit may determine that the target plant is infected with root rot if the ratio of the magnitude of the second electrical signal to the first electrical signal is equal to or greater than a predetermined first numerical value, and may determine that the target plant is not infected with root rot if the ratio of the magnitudes is equal to or less than a predetermined second numerical value.
[0017] The discrimination unit may determine that the target plant is infected with root rot if a ratio of a magnitude of a second electrical signal corresponding to the second reflected light to a first electrical signal corresponding to the first reflected light is 0.85 or more, and may determine that the target plant is not infected with root rot if the magnitude ratio is 0.7 or less.
[0018] The discrimination unit may determine that the target plant is infected with root rot if a ratio of a magnitude of the second electrical signal corresponding to the second absorption light to a first electrical signal corresponding to the first absorption light is 0.7 or more, and may determine that the target plant is not infected with root rot if the magnitude ratio is 0.6 or less.
[0019] In one embodiment, a root rot detection device may include one or more white panels configured to distinguish the target plant from a background.
[0020] A root rot detection method according to one embodiment is a method performed by a root rot detection device including a light source, and includes the steps of: irradiating a first light and a second light of different wavelength bands onto a target plant placed at a measurement position using the light source; analyzing a first reflected light or a first absorbed light of the target plant by the first light to measure a first electrical signal; analyzing a second reflected light or a second absorbed light of the target plant by the second light to measure a second electrical signal; and determining whether or not the target plant is infected with root rot based on the magnitude of the first electrical signal and the magnitude of the second electrical signal.
[0021] The root rot disease may be caused by Pythium spp. pathogens.
[0022] The target plant may be a strawberry including at least a crown portion, and the crown portion of the strawberry may be irradiated with light from the light source.
[0023] The irradiating step may include a step of separating the light emitted by the light source into wavelengths via a spectrometer and irradiating each of the first light and the second light onto the target plant; or a step of irradiating the first light onto the target plant via a first light source included in the light source, and irradiating the second light onto the target plant via a second light source included in the light source.
[0024] Measuring the first electrical signal may include converting the first reflected light into a first electrical signal comprising one-dimensional first spectral information, and measuring the second electrical signal may include converting the second reflected light into a second electrical signal comprising one-dimensional second spectral information.
[0025] In one embodiment, a method for detecting root rot may include displaying a first image in 2D format of the target plant, each pixel of which contains first spectral information of the first electrical signal; or displaying a second image in 2D format of the target plant, each pixel of which contains second spectral information of the second electrical signal.
[0026] The first light may be light within a wavelength range of 450 nm to 500 nm, and the second light may be light within a wavelength range of 550 nm to 650 nm.
[0027] The determining step may include determining that the target plant is infected with root rot if a ratio of a magnitude of the second electrical signal to the first electrical signal is equal to or greater than a predetermined first numerical value; and determining that the target plant is not infected with root rot if the magnitude ratio is equal to or less than a predetermined second numerical value.
[0028] The determining step may include determining that the target plant is infected with root rot if a ratio of a magnitude of the second electrical signal corresponding to the second reflected light to a first electrical signal corresponding to the first reflected light is 0.85 or more; and determining that the target plant is not infected with root rot if the magnitude ratio is 0.7 or less.
[0029] The determining step may include determining that the target plant is infected with root rot if a ratio of a magnitude of the second electrical signal corresponding to the second absorption light to a first electrical signal corresponding to the first absorption light is 0.7 or more; and determining that the target plant is not infected with root rot if the ratio of the magnitudes is 0.6 or less.
[0030] The root rot detection device may include one or more white panels configured to distinguish the target plant from a background. Effect of the Invention
[0031] The disclosed embodiment can non-invasively determine whether or not a plant is infected with root rot disease based on the ratio of light intensities reflected by the target plant for each wavelength. [Brief description of the drawings]
[0032] [Figure 1] FIG. 1 is a block diagram for explaining a root rot detection device according to one embodiment. [Diagram 2] FIG. 11 is a block diagram illustrating a root rot detection device according to a further embodiment. [Diagram 3] FIG. 11 is a block diagram illustrating a root rot detection device according to yet another embodiment. [Figure 4] 13 is a graph showing the ratio of the magnitude of the second electrical signal to the first electrical signal for each wavelength in non-infected and infected individuals with root rot. [Diagram 5] 1 is a flow chart for explaining a method for detecting root rot according to one embodiment. [Figure 6] 4 is a flow chart illustrating a method for detecting root rot according to a further embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0033] The terms used in this specification are currently used as widely as possible while taking into consideration the functions, but these may change depending on the intentions and practices of the engineers in this field, or the emergence of new technologies. In addition, in certain cases, the applicant may arbitrarily select terms, and in such cases, the meanings of these terms will be described in the description of the specification. Therefore, it should be made clear that the terms used in this specification should be interpreted based on the substantial meaning of the terms and the overall content of this specification, rather than simply the names of the terms.
[0034] Additionally, embodiments described herein may have aspects that are entirely hardware, partially hardware and partially software, or entirely software. As used herein, "unit," "device," and the like refer to a computer-related entity such as hardware, a combination of hardware and software, or software. For example, a unit or device may refer to hardware that constitutes part or all of a platform and / or software such as an application for operating the hardware.
[0035] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments will be described in detail with reference to the accompanying drawings and the contents shown in the accompanying drawings. However, the scope of the claims is not limited or restricted by the preferred embodiments.
[0036] FIG. 1 is a configuration diagram for explaining a root rot detection device 100 according to one embodiment.
[0037] Referring to FIG. 1, a root rot detection device 100 according to an embodiment includes an irradiation unit 110, a measurement unit 120, and a discrimination unit .
[0038] The irradiating unit 110 irradiates a target plant placed at a measurement position with first light and second light having different wavelength bands.
[0039] The irradiating unit 110 may separate the light emitted by the light source by wavelength using a spectroscope and irradiate the target plant with the first light and the second light in different wavelength bands. Alternatively, the irradiating unit 110 may irradiate the target plant with the first light and the second light in different wavelength bands via a light source including a first light source and a second light source. For example, the irradiating unit 110 may irradiate the target plant with the first light via the first light source and irradiate the target plant with the second light having a different wavelength band from the first light source via the second light source.
[0040] That is, the irradiating unit 110 may irradiate the target plant with the first light and the second light having wavelength bands different from each other, regardless of the number of light sources.
[0041] When the irradiation unit 110 uses a single light source, the single light source is preferably capable of emitting light with a wavelength of 550 nm to 650 nm.When the irradiation unit 110 uses multiple light sources, the first light source is preferably capable of emitting light with a wavelength of 450 nm to 500 nm, and the second light source is preferably capable of emitting light with a wavelength of 550 nm to 600 nm or 600 nm to 650 nm.
[0042] It is intended that the light source is not limited to any particular shape or type as long as it is a device that emits light in the specified visible light wavelength band, but in some cases the shape and type may vary depending on the size of the target plant.
[0043] The irradiation unit 110 detects the light of the target plant placed at the measurement position. Irradiate the crown with light The irradiation unit 110 is a unit for irradiating the root rot disease. crown By shining light onto the infected plant, it is possible to more efficiently identify plants infected with root rot.
[0044] The root rot detection device 100 according to an embodiment may include a white panel. Specifically, the white panel may be configured to reflect both the light of the irradiating light source and the light of the external surrounding environment. The white panel may be configured to include both the surrounding environment and the irradiated light. In this way, a systematic error can be reduced through the white panel, and the target plant can be identified from the surrounding light environment by applying the light source reflected by the white panel.
[0045] The measurement position may be set so that the vertical distance from the light source is constant. The measurement unit 120 measures a first electrical signal by analyzing a first reflected light or a first absorbed light of the target plant due to the first light. The measurement unit 120 measures a second electrical signal by analyzing a second reflected light or a second absorbed light of the target plant due to the second light.
[0046] Specifically, the measurement unit 120 may measure a first electrical signal in which at least one of the light intensity, the amount of light, and the brightness of the first reflected light is quantitatively converted. Similarly, the measurement unit 120 may measure a second electrical signal in which at least one of the light intensity, the amount of light, and the brightness of the second reflected light is quantitatively converted.
[0047] Alternatively, the measurement unit 120 may measure a first electrical signal that is a quantitative conversion of the amount of the first absorbed light absorbed by the target plant relative to the first light. Similarly, the measurement unit 120 may measure a second electrical signal that is a quantitative conversion of the amount of the second absorbed light absorbed by the target plant relative to the second light.
[0048] Here, the absorbed light may be the remaining light excluding the reflected light reflected from the target plant among the light irradiated to the target plant. In other words, the absorbed light may be in a relationship that forms the light irradiated to the target plant when added to the reflected light. For example, the sum of the first reflected light and the first absorbed light may form the first light. As another example, the sum of the second reflected light and the second absorbed light may form the second light.
[0049] The relationship between absorbed light and reflected light may be defined by the following Equation 1:
[0050]
number
[0051] On the other hand, it is intended that there is no limitation on the shape or type of the measurement unit 120, but in some cases, the shape or type may differ depending on the size of the target plant.
[0052] The discrimination unit 130 discriminates whether or not the target plant is infected with root rot based on the magnitude of the first electrical signal and the magnitude of the second electrical signal.
[0053] Here, the root rot disease may in particular be root rot disease caused by Pythium spp. pathogens on strawberries.
[0054] The discrimination unit 130 may discriminate that the target plant is infected with root rot when the ratio of the magnitude of the second electrical signal to the first electrical signal is 0.7 or more, and may discriminate that the target plant is not infected with root rot when the ratio is 0.6 or less. In this case, it is preferable that the electrical signal is a signal corresponding to the absorbed light. Specifically, the first electrical signal may correspond to the first absorbed light, and the second electrical signal may be an electrical signal quantified in response to the second absorbed light.
[0055] Alternatively, the discrimination unit 130 may determine that the target plant is infected with root rot when the ratio of the magnitude of the second electrical signal to the first electrical signal is 0.8 or more, and may determine that the target plant is not infected with root rot when the ratio is 0.65 or less. In this case, the electrical signal is preferably a signal corresponding to the reflected light. Specifically, the first electrical signal may correspond to the first reflected light, and the second electrical signal may be an electrical signal quantified in response to the second reflected light.
[0056] On the other hand, when the ratio of the magnitude of the second electrical signal to the first electrical signal is calculated to be in the range of 0.6 to 0.7 for absorbed light, the second electrical signal is preferably measured again for binary classification. When the ratio of the magnitude of the second electrical signal to the first electrical signal is calculated to be in the range of 0.65 to 0.8 for reflected light, the second electrical signal is preferably measured again for binary classification. Alternatively, the value of the second electrical signal is preferably measured over time and continuously determined to be outside the normal range.
[0057] FIG. 2 is a block diagram illustrating a root rot detection device 200 according to a further embodiment.
[0058] 2, a root rot detection device 200 includes an irradiation unit 110, a measurement unit 120, a conversion unit 210, and a discrimination unit 130. Here, the irradiation unit 110, the measurement unit 120, and the discrimination unit 130 in Fig. 2 are the same as the components in Fig. 1, and therefore a duplicated description will be omitted.
[0059] 2, the measurement unit 120 includes a conversion unit 210. The conversion unit 210 converts the reflected light into an electrical signal. The conversion unit 210 may convert the reflected light into an electrical signal including spectral information. For example, the conversion unit 210 may convert the first reflected light and the second reflected light into a first electrical signal and a second electrical signal including one-dimensional spectral information, respectively.
[0060] Specifically, the converter 210 may convert the reflected light into one-dimensional spectral information using a hyper-spectral imaging (HIS) technique. Here, the spectral information is a product of an interaction between the target plant and the light irradiated to the target plant, and may include physical and / or chemical characteristics of the target plant due to the irradiated light.
[0061] Meanwhile, the converter 210 may convert the reflected light into an electrical signal having a quantitative value using a spectroscopy method, an intensity sensor, or an intensity detector in addition to the hyperspectral imaging technique.
[0062] FIG. 3 is a block diagram illustrating a root rot detection device 300 according to a further embodiment.
[0063] 3, the root rot detection device 300 includes an irradiation unit 110, a measurement unit 120, a conversion unit 210, a monitoring unit 310, and a discrimination unit 130. Here, the irradiation unit 110, the measurement unit 120, the conversion unit 210, and the discrimination unit 130 in Fig. 3 are the same as the components in Figs. 1 and 2, and therefore a duplicated description will be omitted.
[0064] The monitoring unit 310 may display an image of the target plant, where each pixel of the image of the target plant may include an electrical signal value of a region of the target plant corresponding to each pixel.
[0065] The monitoring unit 310 may display a first image of the target plant in a 2D format, with each pixel including the first spectral information of the first electrical signal.
[0066] The monitoring unit 310 may display a second image of the target plant in a 2D format, with each pixel including the second spectral information of the second electrical signal.
[0067] Preferably, the first electrical signal corresponds to the first reflected light, and the second electrical signal corresponds to the second reflected light.
[0068] The monitoring unit 310 displays an image of the target plant captured using a hyperspectral imaging camera, and each pixel of the image of the target plant may contain spectral information of the reflected light of the target plant area corresponding to each pixel.
[0069] Here, the image is taken of a target plant, and the image is at least Including the crown .
[0070] While the images have been described as being in 2D format, this is an illustrative and not necessarily limiting description.
[0071] FIG. 4 is a graph showing the ratio of the magnitude of the second electrical signal to the first electrical signal for each wavelength in non-infected and infected individuals with root rot.
[0072] Referring to FIG. 4, the horizontal axis of the graph indicates the wavelength of the irradiated light, and the vertical axis indicates the ratio of the magnitude of the second electrical signal to the magnitude of the first electrical signal.
[0073] Referring to Figure 4, there is shown a first region where the second electrical signal relative to the first electrical signal is measured to be the same or similar regardless of whether or not there is root rot infection, under the same condition of the wavelength of irradiated light, and a second region where the second electrical signal is measured differently depending on whether or not there is root rot infection.
[0074] In this case, the first region may be defined as a wavelength region of, for example, 450 nm to 500 nm, and the second region may be defined as 550 nm to 600 nm, or alternatively, the second region may be defined as 600 nm to 650 nm.
[0075] Therefore, the first light is preferably light included in the wavelength range of 450 nm to 500 nm corresponding to the first region, and the second light is preferably light included in the wavelength range of 550 nm to 650 nm corresponding to the second region.
[0076] On the other hand, the first region and the second region may be set arbitrarily based on the ratio of the second electrical signal to the first electrical signal of a non-infected individual and an infected individual, and the first region and the second region are not necessarily limited to the exemplified wavelength bands.
[0077] FIG. 5 is a flow chart illustrating a method for detecting root rot according to an embodiment.
[0078] Each step of FIG. 5 may be performed by the root rot detection device 100 shown in FIG.
[0079] Referring to FIG. 5, first, the root rot detection device 100 irradiates (510) a target plant placed at a measurement position with first and second lights having different wavelength bands from each other using a light source.
[0080] Next, the root rot detection device 100 analyzes the first reflected light or the first absorbed light of the target plant due to the first light and measures (520) a first electrical signal.
[0081] Next, the root rot detection device 100 measures (530) a second electrical signal by analyzing the second reflected light or the second absorbed light of the target plant due to the second light.
[0082] Next, the root rot detection device 100 determines (540) whether or not the target plant is infected with root rot based on the magnitude of the first electrical signal and the magnitude of the second electrical signal.
[0083] FIG. 6 is a flow chart illustrating a method for detecting root rot according to a further embodiment.
[0084] Each step of FIG. 6 may be performed by the root rot detection device 200 shown in FIG.
[0085] Referring to FIG. 6, first, the root rot detection device 200 irradiates a target plant placed at a measurement position with first and second lights having different wavelength bands (610) using a light source.
[0086] Next, the root rot detection device 200 analyzes the first reflected light or the first absorbed light of the target plant due to the first light and measures (620) a first electrical signal.
[0087] Next, the root rot detection device 200 measures (630) a second electrical signal by analyzing the second reflected light or the second absorbed light of the target plant due to the second light.
[0088] The root rot detection device 200 then calculates (640) whether the ratio of the magnitude of the second electrical signal to the magnitude of the first electrical signal is equal to or greater than a preset first numerical value.
[0089] At this time, if the ratio of the magnitude of the second electrical signal to the magnitude of the first electrical signal is equal to or greater than a predetermined first numerical value, the root rot detection device 200 determines (641) that the target plant is infected with root rot.
[0090] As an example, the root rot detection device 200 may calculate (640) whether a ratio of a magnitude of a second electrical signal corresponding to the second reflected light to a magnitude of a first electrical signal corresponding to the first reflected light is 0.85 or more. In this case, if the ratio of the magnitude of the second electrical signal to the magnitude of the first electrical signal is 0.85 or more, the root rot detection device 200 may determine (641) that the target plant is infected with root rot.
[0091] As another example, the root rot detection device 200 may calculate (640) whether a ratio of a magnitude of a second electrical signal corresponding to the second absorption light to a magnitude of a first electrical signal corresponding to the first absorption light is 0.7 or more. In this case, if the ratio of the magnitude of the second electrical signal to the magnitude of the first electrical signal is 0.7 or more, the root rot detection device 200 may determine (641) that the target plant is infected with root rot.
[0092] On the other hand, if the ratio of the magnitude of the second electrical signal to the magnitude of the first electrical signal is not equal to or greater than a preset first numerical value, the root rot detection device 200 calculates (642) whether the ratio of the magnitude of the second electrical signal to the magnitude of the first electrical signal is equal to or less than a second numerical value. At this time, if the ratio of the magnitude of the second electrical signal to the magnitude of the first electrical signal is equal to or less than the second numerical value, the root rot detection device 200 determines (643) that the target plant is not infected with root rot.
[0093] As an example, if the ratio of the magnitude of the second electrical signal corresponding to the second reflected light to the magnitude of the first electrical signal corresponding to the first reflected light is not 0.85 or more, the root rot detection device 200 calculates (642) whether the ratio of the magnitude of the second electrical signal corresponding to the second reflected light to the magnitude of the first electrical signal corresponding to the first reflected light is 0.7 or less. In this case, if the ratio of the magnitude of the second electrical signal corresponding to the second reflected light to the magnitude of the first electrical signal corresponding to the first reflected light is 0.7 or less, the root rot detection device 200 determines (643) that the target plant is not infected with root rot.
[0094] As another example, if the ratio of the magnitude of the second electrical signal corresponding to the second absorption light to the magnitude of the first electrical signal corresponding to the first absorption light is not 0.7 or more, the root rot detection device 200 may calculate (642) whether the ratio of the magnitude of the second electrical signal corresponding to the second absorption light to the magnitude of the first electrical signal corresponding to the first absorption light is 0.6 or less. In this case, if the ratio of the magnitude of the second electrical signal corresponding to the second absorption light to the magnitude of the first electrical signal corresponding to the first absorption light is 0.6 or less, the root rot detection device 200 may determine (643) that the target plant is not infected with root rot.
[0095] On the other hand, if the ratio of the magnitude of the second electrical signal to the magnitude of the first electrical signal associated with the reflected light is not equal to or greater than 0.85 or equal to or less than 0.7, the root rot detection device 200 repeats steps 630 and 640. In some cases, the root rot detection device 200 repeats steps 610 to 640. If the ratio of the magnitude of the second electrical signal to the magnitude of the first electrical signal associated with the absorbed light is not equal to or greater than 0.7 and equal to or less than 0.6, the root rot detection device 200 may repeat steps 630 and 640. In some cases, the root rot detection device 200 may repeat steps 610 to 640.
[0096] 5 and 6 above have been described with reference to the order shown in the figures. For purposes of explanation, the method is shown in a series of blocks, but the invention is not limited to the order of the blocks, and some blocks may be performed in a different order or simultaneously with other blocks than as shown and described herein, and various alternative branches, flow paths, and orders of blocks may be implemented that achieve the same or similar results. Also, not all of the blocks shown may be required to implement the method described herein.
[0097] Although the above description refers to embodiments, it will be understood by those skilled in the art that various modifications and variations of the present invention can be made without departing from the spirit and scope of the present invention as set forth in the claims. [Explanation of symbols]
[0098] 100: Root rot detection device 110: Irradiation unit 120: Measuring part 130: Discrimination part 200: Root rot detection device 210: Conversion section 300: Root rot detection device 310: Monitoring Department
Claims
1. an irradiating unit including a light source that irradiates a target plant placed at a measurement position with first light and second light having different wavelength bands; a measurement unit that measures a first electrical signal by analyzing a first reflected light or a first absorbed light of the target plant due to the first light, and measures a second electrical signal by analyzing a second reflected light or a second absorbed light of the target plant due to the second light; and a discrimination unit that discriminates whether or not the target plant is infected with root rot based on the magnitude of the first electrical signal and the magnitude of the second electrical signal; The target plant is a strawberry including at least a crown portion, and light from the light source is irradiated onto the crown portion of the strawberry.
2. The device for detecting root rot according to claim 1 , wherein the root rot is caused by a pathogen of Pythium spp.
3. The irradiating unit separates the light emitted by the light source into wavelengths via a spectroscope and irradiates the target plant with the first light and the second light, respectively; The root rot detection device of claim 1 , wherein the irradiation unit irradiates the first light to the target plant via a first light source included in the light source, and irradiates the second light to the target plant via a second light source included in the light source.
4. The root rot detection device of claim 1, wherein the measurement unit includes a conversion unit that converts the first reflected light and the second reflected light into a first electrical signal and a second electrical signal, respectively, containing one-dimensional spectral information.
5. the device for detecting root rot displays a first image of the target plant in 2D format, each pixel of the first image including the first spectral information of the first electrical signal; or The root rot detection device of claim 4, further comprising a monitoring unit that displays a second image of the target plant in 2D format, each pixel of the second image including second spectral information of the second electrical signal.
6. The root rot detection device according to claim 1 , wherein the first light is light within a wavelength range of 450 nm or more and 500 nm or less, and the second light is light within a wavelength range of 550 nm or more and 650 nm or less.
7. The root rot detection device of claim 1, wherein the discrimination unit determines that the target plant is infected with root rot if the ratio of the magnitude of the second electrical signal to the first electrical signal is equal to or greater than a predetermined first numerical value, and determines that the target plant is not infected with root rot if the ratio of the magnitudes is equal to or less than a predetermined second numerical value.
8. The root rot detection device of claim 1, wherein the discrimination unit determines that the target plant is infected with root rot if a ratio of a magnitude of a second electrical signal corresponding to the second reflected light to a first electrical signal corresponding to the first reflected light is 0.85 or more, and determines that the target plant is not infected with root rot if the ratio of the magnitudes is 0.7 or less.
9. 2. The root rot detection device of claim 1, wherein the discrimination unit determines that the target plant is infected with root rot when a ratio of a magnitude of the second electrical signal corresponding to the second absorption light to a magnitude of the first electrical signal corresponding to the first absorption light is 0.7 or more, and determines that the target plant is not infected with root rot when the ratio of the magnitudes is 0.6 or less.
10. 10. The device of claim 1, wherein the device comprises one or more white panels configured to distinguish the target plant from a background.
11. A method performed by a root rot detection device including a light source, irradiating a target plant placed at a measurement position with first light and second light having different wavelength bands from each other by the light source; measuring a first electrical signal by analyzing a first reflected light or a first absorbed light of the target plant due to the first light; Analyzing a second reflected light or a second absorbed light of the target plant by the second light to measure a second electrical signal; and determining whether or not the target plant is infected with root rot based on the magnitude of the first electrical signal and the magnitude of the second electrical signal; The method for detecting root rot, wherein the target plant is a strawberry including at least a crown portion, and light from the light source is irradiated onto the crown portion of the strawberry.
12. The method for detecting root rot according to claim 11, wherein the root rot is caused by a pathogen of Pythium spp.
13. The irradiating step includes separating the light emitted by the light source by a spectroscope into wavelengths and irradiating the target plant with the first light and the second light, respectively; or The method for detecting root rot disease according to claim 11, comprising the steps of irradiating the first light to the target plant via a first light source included in the light source, and irradiating the second light to the target plant via a second light source included in the light source.
14. measuring the first electrical signal includes converting the first reflected light into a first electrical signal that includes one-dimensional first spectral information; 12. The method of claim 11, wherein the step of measuring the second electrical signal includes converting the second reflected light into a second electrical signal that includes one-dimensional second spectral information.
15. The method for detecting root rot disease comprises: displaying a first image of the target plant in 2D format, each pixel including the first spectral information of the first electrical signal; or 15. The method of claim 14, further comprising displaying a second image of the target plant in 2D format, each pixel containing second spectral information of the second electrical signal.
16. The method for detecting root rot according to claim 11 , wherein the first light is light within a wavelength range of 450 nm or more and 500 nm or less, and the second light is light within a wavelength range of 550 nm or more and 650 nm or less.
17. The determining step includes determining that the target plant is infected with root rot when a ratio of a magnitude of the second electrical signal to the first electrical signal is equal to or greater than a first predetermined value; and The method for detecting root rot according to claim 11, further comprising determining that the target plant is not infected with root rot if the size ratio is equal to or less than a second preset value.
18. The determining step includes determining that the target plant is infected with root rot when a ratio of a magnitude of the second electrical signal corresponding to the second reflected light to a magnitude of the first electrical signal corresponding to the first reflected light is 0.85 or more; and The method for detecting root rot according to claim 11, further comprising determining that the target plant is not infected with root rot if the size ratio is 0.7 or less.
19. The determining step includes determining that the target plant is infected with root rot when a ratio of a magnitude of the second electrical signal corresponding to the second absorption light to a magnitude of a first electrical signal corresponding to the first absorption light is 0.7 or more; and The method for detecting root rot according to claim 11, further comprising determining that the target plant is not infected with root rot if the size ratio is 0.6 or less.
20. 12. The method of claim 11, wherein the root rot detection device includes one or more white panels configured to distinguish the target plant from a background.
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