Program, information processing method, and information processing device

Abstract

To evaluate an effect of materials properly.SOLUTION: A program causes an information processing device to execute: acquiring, from a plant with a material applied thereto, the material having an action for enhancing durability against non-biological stress, measurement values pertaining to one or a plurality of factor items relating to factors in a biological stimulation of the plant; weighting the acquired measurement values pertaining to each factor item by using weights; and inputting the measurement values weighted with the weights to a function relating to evaluation of the material, thus calculating an evaluation value pertaining to the material.SELECTED DRAWING: Figure 9

Description

[Technical field]

[0001] The present invention relates to a program, an information processing method, and an information processing device. [Background technology]

[0002] Traditionally, biostimulants, which can be called biostimulants, have been used to improve the tolerance of plants to abiotic stress. There are materials that have the effect of enhancing the yield of crops. By giving these materials to plants, the growth of plants is promoted and the yield of crops is increased. Attempts have been made to improve the quantity or quality (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2022-66901 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the conventional technology, it is difficult to evaluate the materials given to plants. For example, the appropriate concentration and spraying method may vary depending on the cultivation environment and the physiological cycle of the plant. However, the effects of the materials have not been clarified, and even if the materials are administered, There are cases where the effect is not seen during actual use.

[0005] Therefore, the technology disclosed herein aims to provide a new mechanism for appropriately evaluating the effectiveness of materials. The purpose is. [Means for solving the problem]

[0006] A program according to an embodiment of the present disclosure includes a program for causing an information processing device to detect resistance to abiotic stress. The biostimulation factor of a plant is determined by measuring the biostimulation factor of the plant. Alternatively, a measurement value of a plurality of factor items may be obtained, and weights may be assigned to the respective measurement values ​​of each of the obtained factor items. weighting each of the measured values ​​using each of the weights; and and inputting the evaluation value of the material into a value-related function to calculate the evaluation value of the material. Effect of the Invention

[0007] According to the present disclosure, the effectiveness of materials can be appropriately evaluated. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram illustrating an example of a configuration of an information processing system according to an embodiment of the present disclosure. [Diagram 2] FIG. 1 is a diagram illustrating an example of a configuration of an information processing device according to an embodiment of the present disclosure. [Diagram 3] FIG. 1 is a diagram illustrating an example of a configuration of an information processing device according to an embodiment of the present disclosure. [Figure 4] FIG. 13 is a diagram showing an example of each factor item information (part 1) in the present disclosure. [Diagram 5] FIG. 13 is a diagram showing an example of each factor item information (part 2) in the present disclosure. [Figure 6] FIG. 13 is a diagram showing an example of weighting of each factor item and calculation of an evaluation value (Case 1) in the present disclosure. [Figure 7] FIG. 13 is a diagram showing an example of weighting of each factor item and calculation of an evaluation value (Case 2) in the present disclosure. [Figure 8] FIG. 13 is a diagram showing an example of a rating in the present disclosure. [Figure 9] FIG. 11 is a sequence diagram illustrating an example of an evaluation process of an information processing device according to an embodiment of the present disclosure. [Figure 10] 11 is a sequence diagram illustrating an example of a rating process of an information processing device according to an embodiment of the present disclosure. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] A preferred embodiment of the disclosed technology will be described with reference to the accompanying drawings. Therefore, components with the same reference numerals have the same or similar configurations.

[0010] [Embodiment] <System> FIG. 1 is a diagram illustrating an example of a configuration of an information processing system 1 according to an embodiment of the present disclosure. As shown in FIG. 1, the information processing system 1 includes an information processing device 10 and each information processing device 20A , 20B, 20C, and 20D (hereinafter, also referred to as "each information processing device 20"); The information processing devices 10 and 20 are capable of transmitting and receiving data to and from each other via a network N. do.

[0011] Here, the materials to be evaluated in the technology of the present disclosure will be described. The material is an agricultural material also known as a biostimulant (hereinafter referred to as "BS"). It is a biostimulant that contains various substances and microorganisms that bring about better physiological conditions for plants and soil. This material utilizes the natural power of plants and their surrounding environment to promote plant growth. It is important to evaluate the health, stress tolerance, yield and quality, post-harvest condition and storage of the plant. It has the potential to have a positive impact.

[0012] BS are usually natural ingredients, extracts from animals and plants, or metabolic products of microbial origin. BS can be a single or complex product of these. BS can also be a pesticide. Unlike the above, it includes materials that are effective in alleviating abiotic stress.

[0013] The effects of BS include, for example, suppression of active oxygen, activation of photosynthesis, promotion of flowering and fruit set, Control of transpiration, regulation of osmotic pressure, improvement of root zone environment, increase in root volume, improvement of root activity, etc. However, not all of these effects are present.

[0014] Next, the effect of BS given to plants, which is realized by the information processing system 1 shown in FIG. The following describes an overview of a method for evaluating the physiological functions of plants. From the viewpoint of biostimulation, items that can be factors are used and weighted according to the degree of influence of each item. This is done to obtain indicators for evaluating the effectiveness of materials.

[0015] This means that there are materials such as BS whose mechanism of action has not been elucidated and whose effectiveness has not been For materials that cannot be determined without trying them out, we will list the factors that may be biological stimuli. By using the weighting function and weighting the factor items according to their influence, the effect of the materials can be evaluated appropriately. It becomes possible to value it.

[0016] Each of the information processing devices 10 and 20 shown in FIG. 1 may be, for example, a personal computer, a These are mobile devices such as smartphones, tablet devices, and server devices, and each of them has n-th information They may be expressed as information processing devices (n=1, 2, 3, . . . ) to distinguish between them.

[0017] The information processing device 10 also receives the measured values ​​(including analytical values) of each factor item of the material. is received and acquired, the evaluation value of the material is calculated, and the material is grouped based on its effect, The information processing device 20 measures or analyzes the factor items of the materials. The measurement value is displayed on a screen or transmitted to the information processing device 10. In addition, the information processing device 10 may perform the following for each factor item processed by the information processing device 20: Analysis and measurements may be performed.

[0018] <Configuration> FIG. 2 is a diagram illustrating an example of a configuration of the information processing device 10 according to an embodiment of the present disclosure. 3 is a diagram showing an example of a configuration of an information processing device 20 according to an embodiment of the present disclosure. The following uses specific examples of evaluation indices for materials that have the effect of enhancing tolerance to abiotic stress. Next, the processing of each device will be described.

[0019] The information processing device 10 includes one or more processors (CPU: Central Processing Unit). ) 110, one or more network communication interfaces 120, memory 130, The user interface 150 and one or more communication Includes 170 buses.

[0020] The user interface 150 includes a display and an input device (keyboard and / or A mouse, or some other pointing device, but not necessarily an information processing device 10, and if provided, may be connected as an external device.

[0021] The memory 130 may be, for example, a DRAM, SRAM, or other random access solid-state memory device. The memory 130 is a high-speed random access memory (main memory). is a plurality of magnetic disk storage devices, optical disk storage devices, flash memory devices, or It may also be a nonvolatile memory (auxiliary storage device) such as another nonvolatile solid-state storage device.

[0022] The memory 130 is a computer-readable memory that stores programs and the like. The memory 130 may be a primary storage device (memory) or a secondary storage device. The device may be either a storage device or both.

[0023] Another example of memory 130 is one or more memory devices located remotely from processor 110. In one embodiment, the memory 130 is configured to be Stores programs, modules and data structures, or a subset thereof, that are executed by do.

[0024] The memory 130 stores data used by the information processing system 1. For example, The memory 130 stores information about the material and one or more factor terms related to the plant biostimulation factors. The items, the measured values ​​of each factor item, the functions used to evaluate the materials, the evaluation values ​​of each material, and the evaluation Store information such as criteria for classifying materials using value and grading criteria.

[0025] The processor 110 executes a program stored in the memory 130 to control 112, acquisition unit 113, weighting unit 114, calculation unit 115, classification unit 116, output unit 117 , which constitute the setting unit 118.

[0026] The control unit 112 controls the process related to the evaluation of the material. , the processing of the weighting unit 114, the calculation unit 115, the classification unit 116, the output unit 117, and the setting unit 118. Control.

[0027] The acquisition unit 113 acquires a material (e.g., BS ) from the plant, one or more factors related to the biostimulation factor of this plant are measured. For example, the acquisition unit 113 acquires a data value of each factor item by each information processing device 20. The process of measuring or analyzing the data is carried out, and the measurements obtained from this process are used to The information may be acquired via the communication interface 120. Alternatively, the information may be acquired by actually measuring the plant. In the case of a desired factor item, the user or the like measures it via the user interface 150. By inputting the value, the acquisition unit 113 may acquire the input measurement value.

[0028] The weighting unit 114 weights each of the measured values ​​of each factor item acquired by the acquisition unit 113. Weighting is done using weights. For example, weights are assigned to each factor item based on its priority. Priority is determined based on, for example, the degree of impact of BS on yield, its impact on plant growth and stimulation. Weights are assigned to each factor based on the degree to which it influences plant physiology, the order in which it influences plant physiology, etc.

[0029] The calculation unit 115 calculates each measurement value weighted by the weighting unit 114 as a BS The evaluation value of the material is calculated by inputting the above-mentioned items into a function related to the evaluation of the material. For example, the calculation unit 11 5 may calculate the evaluation value E of the material by summing up the weighted measurement values ​​(Equation 1). E=Σwi×si...Equation 1 i:Factor item wi: weight of factor item i si: Measurement value of factor item i

[0030] The calculation unit 115, for example, calculates the value of each factor item for a material when the measured value data for each factor item is greater than or equal to a predetermined value. In this case, a machine learning model is used to input the measured values ​​of each factor item and predict the evaluation value. As an example, the calculation unit 115 may calculate the evaluation value based on the measurement value of each factor item. A trained model that has been trained using supervised learning with training data including the The calculation unit 115 may calculate the evaluation value by using a weighting model. As an example of the evaluation value, a standard deviation may be calculated.

[0031] The output unit 117 displays the evaluation value calculated by the calculation unit 115 in association with the material. The information may be output so as to be displayed on a display or the like.

[0032] Through the above process, the factors that may be the factors of bioirritation caused by materials such as BS were measured. By using the value, the effect of the material can be appropriately evaluated by weighting the factor item according to its influence. In addition, the above treatments can be used to evaluate the effects of abiotic stress such as BS. The effect of materials that increase resistance to the virus cannot be measured or is difficult to understand. It will be possible to provide appropriate evaluation indicators to solve problems such as the above.

[0033] In addition, each factor item is related to the plant phenotype, nutrients absorbed, and hormones in response to stimuli. These factors may include at least one of the following: These are factors that can be analyzed or measured in laboratories, etc. This will be described later with reference to FIG.

[0034] In addition, each factor item is soil chemical analysis, soil physical analysis, soil bacterial flora analysis, and stress tolerance analysis. These factors may include at least one of the following: The soil collected by the survey is analyzed or measured using sensors on-site or in a laboratory, etc. Each factor item related to the actual field will be described later using Figure 5. The factors used in the evaluation are those related to the laboratory and those related to the field. Combinations are also possible.

[0035] In addition, each factor item is divided into multiple items by subdivision, and a weight is assigned to each item. For example, one factor item can be divided into large, medium, and small granularities, and then a large item, A major category may be divided into one or more medium categories, and a medium category may be divided into one or more small categories. Weights may be assigned to the major, medium, and minor items. The weight of each small item may be set based on the priority of each small item. Priority is given to the degree of impact on yield, the degree of impact on plant growth and stimulation, and the degree of impact on plant physiology. It becomes possible to appropriately set the weights based on the order in which the functions act.

[0036] In addition, when a given plant is given multiple different materials under different conditions, In this case, the measurement value of each factor item is acquired by the acquisition unit 113 for each material. The acquisition unit 113, the weighting unit 114, and the calculation unit 115 acquire each measurement value for each material. Finally, the calculation unit 115 performs processing on the evaluation values ​​of each material for a given plant. Each material is given separately under the same conditions to allow for comparison. It is preferable to evaluate the results in a different environment, such as at a different place or at a different time.

[0037] When the measurement values ​​of each factor item of each of the multiple materials are acquired by the acquisition unit 113, The classification unit 116 classifies each material using the evaluation value of each material. Using the clustering method, each material is classified according to the degree of effectiveness of the material indicated by the evaluation value. The classification unit 116 may classify the images into groups. Each material may be classified using each evaluation value.

[0038] By the above process, when various materials can be applied to a given plant, it is possible to determine which materials It will be possible to grasp whether a material is effective. Since the mechanism was not clear, it was impossible or difficult to evaluate in the first place, but the technology of the present disclosure In this technique, it is possible to assign evaluation indices to materials, so that materials with similar effects can be grouped together. This will enable things like pinging and comparing the effects of each material.

[0039] In addition, the classification unit 116 classifies each material by the raw material type of each material using the evaluation value. For example, the main component of the material may be classified into the following raw material types: 1. Humus, organic acid materials (humic acid, fulvic acid) 2. Seaweed and seaweed extracts, polysaccharides 3. Amino Acid and Peptide Materials 4. Trace minerals and vitamins 5. Microbial materials (Trichoderma, mycorrhizal fungi, yeast, Bacillus subtilis, rhizobia, etc.) 6. Others (functional ingredients derived from animals and plants, microbial metabolites, microbial activation materials, etc.)

[0040] For example, the memory 130 stores the material name, information for identifying the material (material ID), and the source of the material. The classification unit 116 stores the material information associated with the material type information. Using the material name and material ID, refer to the material information to identify the material type. Next, the classification unit 116 performs a second stage classification. The materials are classified by raw material type using the evaluation value. It is now possible to classify materials based on their effectiveness for each ingredient type. It is possible to identify and recommend highly rated materials. After classifying each material by value, for each classification set, the materials are further classified by material type. It may be classified.

[0041] The acquisition unit 113 may also acquire a request for classification from a user or the like. The unit 116 extracts materials having evaluation values ​​corresponding to the conditions included in the user request. The user request may include, for example, information regarding the type of raw material of the above-mentioned materials. This includes information on specific factors, information on the field environment, etc. Whether or not a condition included in the est is met can be determined by, for example, whether the value falls within a predetermined range of the values ​​included in the condition. If there is an evaluation value, it is judged to be "compatible" when the evaluation value is equal to or greater than a threshold value or less than a threshold value. In addition, the numerical values ​​included in the conditions may be determined based on a predetermined factor other than the evaluation value of the material. It may also be a value related to a child item.

[0042] For example, if the user request includes a genetic analysis item, the classification unit 116 For each item of child analysis, each material is classified using a weighted value or evaluation value for the measured value / analysis value. Examples of gene analysis items include high temperature stress response, osmotic stress response, These include the oxidative stress response, the drought stress response, and the wound stress response.

[0043] For example, the acquisition unit 113 may receive a user request for resistance to high temperature stress from a producer. In response to the request, the classification unit 116 selects the factor item “high temperature stroke.” Materials with high resistance to "high temperature stress response" (e.g., materials with high heat stress response weighting value greater than the threshold) Materials that are not classified may be classified into groups. The information is output by the output unit 117 to the producer.

[0044] If the evaluation value of the material satisfies a predetermined condition for recommendation, the output unit 117 outputs the evaluation value of the material as a recommendation. The predetermined condition may be, for example, when the evaluation value is greater than or equal to a threshold value. In this case, the output unit 117 outputs the evaluation value calculated by the calculation unit 115. If the effect of the material exceeds a certain threshold, the material is deemed to be highly effective and is recommended. This allows the evaluation index of materials to be used to identify highly effective materials, It will be possible to inform related parties of highly effective materials. The condition may be a condition regarding the suitability of the fertilizer used by the producer. In this case, the recommendation information The information may include information on suitable fertilizers for use by producers. may be a condition related to stress resistance. For example, The stress tolerance may be determined based on the result of comparison with the threshold value. In this case, the recommendation information is , which may include information on materials that are resistant to a given stress response.

[0045] In addition, the setting unit 118 uses the evaluation value to set, for each set classified by the classification unit 116, Alternatively, the materials may be ranked based on the result of comparing the standard deviation of the evaluation values ​​with a threshold value. For example, the setting unit 118 may assign a rank to each material indicating the degree of its effectiveness. This allows the evaluation result to be given to a specific material. The mend information may include a rating rank.

[0046] According to the above process, the technology of the present disclosure can be used to provide an evaluation index of a material for a specific plant. The effectiveness of the materials can be reported using the evaluation index. Since various evaluation indices are used, it is possible to use them as evidence of the effectiveness of materials. be.

[0047] In addition, the organization that manages the information processing device 10 may provide evaluation indices for existing materials. Therefore, it is possible for the company to provide evaluation services for materials as an evaluation organization for materials. When this occurs, the evaluation value may be used as evidence of the evaluation result.

[0048] In addition, according to the technology disclosed herein, it is possible to identify highly effective materials based on appropriate evaluation indices. Since it is possible to perform the above-mentioned operations, it is possible to perform the grading of materials. Organizations that provide such metrics may also license the technical methods used to calculate them. .

[0049] FIG. 3 is a diagram illustrating an example of an information processing device 20 according to an embodiment of the present disclosure. The device 20 includes one or more processors (e.g., CPUs) 210, one or more networks, A network communication interface 220, a memory 230, a user interface 250, and 2 includes one or more communication buses 270 for interconnecting the components.

[0050] The user interface 250 includes a display and an input device (keyboard and / or mouse, or some other pointing device).

[0051] The memory 230 may be, for example, a DRAM, SRAM, or other random access solid-state memory device. The memory 230 is a high-speed random access memory (main memory). is a plurality of magnetic disk storage devices, optical disk storage devices, flash memory devices, or Other non-volatile solid-state memory devices and other non-volatile memories (auxiliary memory devices) may also be used. The library 230 is a non-transitory computer-readable storage device that stores programs and the like. The memory 230 may be a main storage device (memory) or an auxiliary storage device (storage device). The device may have either a storage or both.

[0052] The memory 230 stores data and programs used by the information processing system 1. For example, the memory 230 stores applications for mobile terminals in the information processing system 1. Stores programs, etc.

[0053] The processor 210 executes a program stored in the memory 230 to perform a design task. A control unit 212 is configured to control resource sharing in the office on the client side. For example, the control unit 212 may execute a web browser or an application related to the calculation of evaluation indices. include.

[0054] The web browser is provided by the information processing device 10. The web browser allows the user to view web pages. For example, a web browser uses a web page Using the above, information regarding the measurement values ​​set or input by the user is sent to the information processing device 10. The information transmitted includes, for example, the specified plant, the materials to be evaluated, and the measured values ​​of each factor item. This is information.

[0055] In addition, the control unit 212 executes the application related to the calculation of the evaluation index for the installed client. By executing the application, it is possible to execute the functions provided by the evaluation index calculation platform. The control unit 212 may perform the process related to the calculation of the evaluation index of the present disclosure on the client side. In order to execute the above, the apparatus has an acquisition unit 213, an analysis unit 214, and an output unit 215.

[0056] The acquisition unit 213 receives the information set or input by the user using the user interface 250. The data collected is used to obtain data on each factor item, or sensing data is obtained using sensors, etc.

[0057] The analysis unit 214 performs a predetermined analysis on each measurement value. The analysis unit 214 extracts significant measurement values ​​using a predetermined statistical method as a result of the analysis. You may put it out.

[0058] The output unit 215 outputs the measured values ​​of each factor item that has been analyzed or extracted as significant data. is output to the information processing device 10 via the network communication interface 220. The analysis unit 214 is provided in the information processing device 10, and performs the evaluation of the present disclosure on the information processing device 10 side. An index may be calculated.

[0059] <Data example> FIG. 4 is a diagram showing an example of each factor item information (part 1) in the present disclosure. Each factor item information includes each factor item that can be measured or analyzed in a laboratory. The items are classified into purpose (major items), type (middle items), and measurement / analysis (minor items), and the evaluation method is Can be associated.

[0060] In the example shown in Figure 4, when the main item “Objective” is “Yield”, the medium items are “Phenotype: High Temperature”, In addition, the middle items "Phenotype: High Temperature" and "Phenotype: Normal" are subitems. Items: "Above-ground weight", "Above-ground length", "Total biomass", "Root weight ratio", "Root weight" The analysis or measurement value of each subitem is stored in the memory 130. The evaluation method for the subitem includes, for example, a comparative value (ratio) with the control. The "weight" and "root weight" are measured by actual measurement using, for example, a microbalance, and the "above-ground length" is is measured using a ruler, for example, and the "total biomass amount" and "root weight ratio" are calculated. For example, each measurement may be set by the user using the user interface 250. Or it is input.

[0061] The phenotype may be evaluated by testing minor items for each stress test. For example, Eye phenotype: osmolarity, phenotype: oxidation, phenotype: dryness, phenotype: injury, Subitems may be tested and evaluated for each "Phenotype:Pest" and "Phenotype:Element."

[0062] When the main item "Objective" is "Stress", the subitems include "Expressed Genes". The "expressed genes" were "osmotic stress response," "pest stress response," and "high temperature stress response." "resistance response", "element stress response", "drought stress response", "wound stress response", Each sub-item includes "oxidative stress response," and the analytical values ​​are obtained by, for example, omics analysis, and memo The evaluation method for the factor items related to "stress" is, for example, the number of applicable items or "Weighted average by P-Value" is included. Also, the subitem "Expressed genes" is The analytical values ​​are obtained, for example, by gene expression analysis, and the analytical values ​​are input, for example, by a user through a user interface. The value is set or entered using interface 250.

[0063] When the main item "Objective" is "Stimulus response," the sub-items are "Plant hormone analysis: Roots" and "Plant hormone analysis: "Plant hormone analysis: leaves" is included. The leaves contain "salicylic acid," "auxin," "gibberellin (GA1)," and "gibberellin ( GA4), "Abscisic acid", "Cytokinin (tZ)", "Ethylene", "Jas Each of these contains "brassinosteroids", "strigolactones", "brassinosteroids", and "florigen". The analysis or measurement values ​​of the sub-items are stored in the memory 130. Factor items related to "stimulus response" The evaluation method includes, for example, measurements by analysis. The values ​​are obtained, for example, by hormone analysis, and each analysis value is input by the user through a user interface. The value is set or entered using interface 250.

[0064] When the main item "Purpose" is "Nutrition Absorption", the medium item includes "Elements". The analysis or measurement value of each sub-item is stored in memory 1. The evaluation method of the factor items related to "nutrient absorption" is, for example, The minor items related to "elements" are obtained by elemental analysis, and each solution The analysis value is set or input by the user using the user interface 250, for example.

[0065] FIG. 5 is a diagram showing an example of each factor item information (part 2) in the present disclosure. The information on each factor includes each factor that can be measured or analyzed in an actual field test. In the example shown, when the main item "Objective" is "Soil Improvement", the medium items are "Soil Chemical Analysis" and "Soil This includes "soil physical property analysis" and "soil bacterial flora analysis."

[0066] The medium-level item "Soil chemical analysis" is divided into sub-items "N," "P," "K," and "other trace elements." The medium-level item "Soil physical analysis" includes the sub-items "Moisture content," "pH," and "EC (electrical conductivity)." The medium item "Soil Bacteria Analysis" is divided into the sub-items "Bacteria Species Analysis" and "Conductivity," "Air Permeability," and "Hardness." The analytical or measured values ​​of each subitem are stored in the memory 130. The evaluation method for the factor items related to "soil improvement" is, for example, a comparison with the previous year or the target field. In addition, the subitem "Soil Chemical Analysis" includes a comparison of soil samples taken. The sub-items for "soil physical analysis" are obtained by the soil analysis using each sensor. The sub-item "Soil Microbial Flora Analysis" was obtained from the Each analysis value is acquired by, for example, setting by the user using the user interface 250. Or it is input.

[0067] If the main item "Purpose" is "Stable production", the medium items are "Various stress resistance" and "Phenotype". The medium category "Various stress tolerance" is divided into sub-categories "Disease tolerance," "High temperature tolerance," and "Dryness tolerance." The medium category "phenotype" includes the sub-category "yield." The analysis or measurement values ​​are stored in the memory 130. The method includes, for example, a comparison with the previous year. The measurements are obtained using the cultivation history data of the production area, and each measurement value is input by the user through a user interface, for example. The sub-items related to the "phenotype" are the yield, the place of origin, etc. The measurement values ​​are obtained by, for example, inputting the measurement values ​​into the user interface. 250.

[0068] If the main item "Objective" is "Profitability", the medium item includes "Metabolite Analysis". The physical analysis includes the sub-items "sugar content," "functional components," "amino acids," "vitamins," and "organic acids." The analysis or measurement value for each subitem is stored in the memory 130. Methods for evaluating factors related to "efficacy" include, for example, comparative values ​​(ratios) with a control. In addition, the sub-items related to "metabolite analysis" are obtained by metabolite analysis, and each analytical value is, for example, For example, the user may set or input the information using the user interface 250 .

[0069] <Weighting and evaluation value calculation example> 6 and 7, the weighting of each factor item and the calculation of the evaluation value in this disclosure are specifically described. First, the weighting will be described using a specific example. An example will be described. 1. The degree of influence of the material on yield, the degree of influence on plant growth and stimulation, plant life The priority of the factor items of the major items is determined based on the order of action of the logic. 2. Arrange the medium items (category A) within the same major item in order of priority. 3. Arrange the sub-items (category B) within the same medium item in order of priority. 4. Set weights for the medium items. The highest priority item among the medium items is used as a reference point to determine the relative weighting of the other medium items. The reference point shall be the largest number. 5. Set weights for each sub-item. The highest priority item among the sub-items is used as the reference point to determine the relative weighting of the other sub-items. The reference point shall be the largest number. The above-mentioned weight setting is an example, and the present invention is not limited to this example.

[0070] FIG. 6 shows an example of weighting of each factor item and calculation of evaluation value (Case 1) in this disclosure. In the example shown in FIG. 6, for example, the subitem "High phenotype" of the medium item (category A) In category B, "root weight ratio," "root weight," "total biomass," and "ground The weights are set as 5, 4, 3, 2, and 1 in the order of "top length" and "top weight". Priority is an example. Each weight is adjusted so that the maximum value is 1.

[0071] The weighting unit 114 assigns weights to the measured values ​​(actual measured values) / analytical values ​​of each factor item of the subitems. For example, the weighting unit 114 assigns weight to the actual root weight ratio of 1.4. Multiply it by 1 to get 1.4, then multiply the actual root weight of 0.8 by the weight of 0.8 to get 0.64. The weighting unit 114 performs similar processing on the other small items.

[0072] Next, the weighting unit 114 adds up all the values ​​in the same medium item and calculates the weight of that small item (category). For example, the weighting unit 114 sets the evaluation value of “when the phenotype is high” to 2 98, and the evaluation value of the "expressed genes" is 10.9.

[0073] Next, weighting section 114 weights the evaluation values ​​of the medium items using the weights of the medium items. For example, if the weight of "phenotype at high temperature" is set to 5 and the weight of "expressed genes" is set to 1, The weighted evaluation value of "Current high temperature" is 2.98 × 5, and the weighted evaluation value of "Expressed genes" is The result is 10.9 x 1.

[0074] The calculation unit 115 calculates the sum of the weighted evaluation values ​​and sets it as the evaluation value of the material. For example, The calculation unit 115 calculates the evaluation value of the material shown in FIG. Calculate .8.

[0075] FIG. 7 shows an example of weighting of each factor item and calculation of evaluation value (case 2) in this disclosure. In the example shown in FIG. 7, for example, the subitem "High phenotype" of the medium item (category A) For each category (Category B), the sum of the weights is adjusted to be 100.

[0076] The weighting unit 114 assigns weights to the measured values ​​(actual measured values) / analytical values ​​of each factor item of the subitems. For example, the weighting unit 114 assigns weight to the actual root weight ratio of 1.4. Multiply it by 33 to get 46.2, then multiply the actual root weight of 0.8 by the weight 27 to get 21. 6. Weighting unit 114 performs similar processing on the other small items.

[0077] Next, the weighting unit 114 adds up all the values ​​in the same medium item and calculates the weight of that small item (category). For example, the weighting unit 114 sets the evaluation value of "when the phenotype is high" to 9 9.2, and the evaluation value of the "expressed genes" is 271.5.

[0078] Next, weighting section 114 weights the evaluation values ​​of the medium items using the weights of the medium items. For example, the weight of "phenotype at high temperature" is 0.24 and the weight of "expressed genes" is 0.05. In this case, the weighted evaluation value of "phenotype at high temperature" is 99.2 × 0.24, and "expressed genes" The weighted evaluation value is 271.5 x 0.05.

[0079] The calculation unit 115 calculates the sum of the weighted evaluation values ​​and sets it as the evaluation value of the material. For example, The calculation unit 115 calculates the evaluation value of the material shown in FIG. Calculate 0.05=36.5.

[0080] <Rating example> FIG. 8 is a diagram showing an example of a rating in the present disclosure. In the example shown in FIG. 5 calculates the standard deviation as the evaluation value of each material. Figure 8(A) shows the ranking of each material. FIG. 8(B) shows an example of each threshold value used for the rating.

[0081] In the example shown in Figure 8, the standard deviation of material X is 61.3 and the standard deviation of material Y is 42.2. 8, and the standard deviation of material W is 45.43. Also, the thresholds used for grading are In the standard, the conditions are set as follows: S rank is 60 or above, A rank is 50 or above, etc. In this case, the setting unit 118 determines whether the standard deviation (61.3) of the material X is equal to or greater than the threshold (60) of the rating S. Therefore, we set the S rank and the standard deviation of material Y (42.28) is the threshold value of the rating B ( Since the threshold value is greater than or equal to 40 and less than the A threshold value (50), a B rank is assigned.

[0082] <Processing Procedure> Next, each process of the information processing system 1 will be described. 10 is a sequence diagram showing an example of an evaluation process of the information processing device 10. FIG.

[0083] In step S102, the acquisition unit 113 of the information processing device 10 acquires information on the abiotic stress. The biostimulant factor of a plant is determined by administering a substance that has the effect of increasing the plant's resistance to the Obtain measurement values ​​of one or more factor items related to the

[0084] In step S104, the weighting unit 114 of the information processing device 10 Each measurement obtained by the method is weighted with a respective weight.

[0085] In step S106, the calculation unit 115 of the information processing device 10 inputs the weighting unit 114 Each measurement value weighted by each weight is input to the function for evaluating the material. Calculate the evaluation value of .

[0086] In step S108, the output unit 117 of the information processing device 10 receives the following signal from the calculation unit 115: The calculated evaluation value is output.

[0087] FIG. 10 is a sequence diagram showing an example of a rating process of the information processing device 10 according to an embodiment of the present disclosure. In the example shown in FIG. 10, a grading process is performed after the classification process. However, classification processing is not necessarily required for grading processing, and grading processing must be performed after classification processing. 10 may be performed when the evaluation value stored in the memory 130 is equal to or greater than a predetermined value. This may be performed in some cases.

[0088] In step S202, the classification unit 116 of the information processing device 10 classifies each material into For example, the classifier 116 may use one of the well-known clustering techniques to classify each of the materials. The classification unit 116 clusters the evaluation values ​​and classifies the materials corresponding to the evaluation values. The evaluation value may be classified by the type of main ingredient of the material, and the materials corresponding to the evaluation value may be classified. stomach.

[0089] In step S204, the setting unit 118 of the information processing device 10 The materials in the set are ranked so that the higher the evaluation value, the higher the rank. The setting unit 118 may perform ranking by comparing the evaluation value of the material with a threshold value (for example, (see Figure 8).

[0090] In step S206, the output unit 117 of the information processing device 10 outputs the rated information. The data is output to an external device or display.

[0091] Although one embodiment of the present disclosure has been described in detail above, the present disclosure is not limited to the above embodiment. However, various modifications and changes are possible within the scope of the claims. For example, the present disclosure relates to a process executed by each of the information processing devices 10 and 20, in which a part of the process is executed by another Alternatively, multiple information processing devices may be integrated into one information processing device. Alternatively, each of the information processing devices 10 and 20 may be managed by one organization. The two systems may be managed by the same organization, or may each be managed by a different organization. [Explanation of symbols]

[0092] 1...information processing system, 10, 20...information processing device, 110...processor, 112...control unit, 113...acquisition unit, 114...weighting unit, 115...calculation unit, 116...classification unit, 117... Output unit, 118...setting unit, 130...memory, 210...processor, 230...memory, 21 2... control unit, 213... acquisition unit, 214... analysis unit, 215... output unit

Claims

1. In an information processing apparatus, obtaining measurement values of one or more factor items related to biostimulation factors of a plant provided with a material having an effect of enhancing resistance to abiotic stress from the plant; calculating an evaluation value of the material based on the respective measurement values using the respective measurement values of the obtained factor items and a method for calculating the evaluation value of the material; A program for causing the above to be executed.

2. The calculating includes inputting the respective measurement values of each factor item into a machine learning model that predicts the evaluation value of the material, inputting the respective measurement values of the obtained factor items, and calculating the evaluation value of the material. The program according to claim 1.

3. When a plurality of different materials are provided to the plant, the calculating includes calculating an evaluation value of each material with respect to the plant, and further causing the information processing apparatus to classify the respective materials using the evaluation values of the respective materials. The program according to claim 1.

4. When the evaluation value of the material satisfies a predetermined condition related to a recommendation, further causing the information processing apparatus to output information about the material and recommendation information. The program according to claim 1.

5. An information processing method executed by an information processing apparatus, the method including: obtaining measurement values of one or more factor items related to biostimulation factors of a plant provided with a material having an effect of enhancing resistance to abiotic stress from the plant; calculating an evaluation value of the material based on the respective measurement values using the respective measurement values of the obtained factor items and a method for calculating the evaluation value of the material. An information processing method including the above.

6. An acquisition unit that obtains measurement values of one or more factor items related to biostimulation factors of a plant provided with a material having an effect of enhancing resistance to abiotic stress from the plant; A calculation unit that calculates an evaluation value of the material based on the respective measurement values using the respective measurement values of the obtained factor items and a method for calculating the evaluation value of the material. An information processing apparatus including the above. ​

Images