Method for processing information, program, and information processor

Abstract

To provide a novel mechanism for effectively using the result of analyzing materials.SOLUTION: In a method for processing information, an information processor performs the steps of: acquiring a first request regarding a first function of a material which has an action of increasing the resistance to a non-biological stress, a predetermined material in an original body, or a predetermined original body; acquiring a second request regarding a second function based on the first function specified by the first request; extracting at least one original body which responds to the second request from management information which relates the presence or absence of each function in each material or each original body; and outputting a combination of an original body selected from at least one extracted original body and one of the predetermined material and the predetermined original body.SELECTED DRAWING: Figure 7

Description

[Technical field]

[0001] The present invention relates to an information processing method, a program, 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, In some cases, the effect is not observed when the material is actually used. If the active ingredient contained in the drug is analyzed, the results of this analysis may help elucidate its action. However, the reality is that no consideration has been given to how these can be utilized.

[0005] Therefore, the technology disclosed herein provides a new mechanism for effectively utilizing the analysis results of materials. The purpose of this document is to: [Means for solving the problem]

[0006] An information processing method according to an embodiment of the present disclosure includes: The first function of a specific substance or specific ingredient among the substances or ingredients that have the effect of enhancing the obtaining a first request; and determining a second function based on the first function specified by the first request. and associating the presence or absence of each function with each of the materials or ingredients. extracting from the management information one or more entities that satisfy the second requirement; A combination of an ingredient selected from a plurality of ingredients and the specified material or the specified ingredient To execute the above, output the following: Effect of the Invention

[0007] According to the present disclosure, it is possible to provide a new mechanism for effectively utilizing the analysis results of materials. do. [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. 13 is a diagram showing an example of each factor item information (part 1) in the present disclosure. [Diagram 3] FIG. 13 is a diagram showing an example of each factor item information (part 2) in the present disclosure. [Figure 4] FIG. 2 is a diagram illustrating an example of a library in the present disclosure. [Diagram 5] 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 6] 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 7] 11 is a flowchart illustrating an example of a process of an information processing device according to an embodiment of the present disclosure. [Figure 8]11 is a flowchart illustrating an example of a first process according to an embodiment of the present disclosure. [Figure 9] 13 is a flowchart illustrating an example of a second process according to an embodiment of the present disclosure. [Figure 10] 13 is a flowchart illustrating an example of a third process according to an embodiment of the present disclosure. 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] First, the materials to be evaluated in the technology of the present disclosure will be described. Iostimulant (hereinafter referred to as "BS") is an agricultural material that is used to It is a biostimulant that contains various substances and microorganisms that bring about better physiological conditions in the soil. The materials utilize the natural power inherent in plants and their surrounding environment to promote the health of plants. Positive effects on plants in terms of stress tolerance, yield and quality, post-harvest condition and storage It has the potential to give

[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 premise of the new system realized by the information processing system 1 shown in FIG. An overview of a method for evaluating the effect of BS on plants will be described. For example, The evaluation method is to use items that can be factors of biostimulation from the viewpoint of the physiological functions of plants. The items are weighted according to their impact to obtain an index (evaluation value) for evaluating the effectiveness of the 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] Next, for the substances that are or may be included in the BS as analytical or evaluation results, Collect data on the effects or functions of materials, and associate the presence or absence of each function with each material or ingredient. In the information processing system 1 shown in FIG. Now, by using this library, you can improve existing materials or create new materials by combining raw materials. This will enable development of the following:

[0017] 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.

[0018] The information processing device 10 also receives the measured values ​​(including analytical values) of each factor item of the material. Receive and acquire, calculate the evaluation value of materials, and generate a library based on the effects of materials We also use the library to improve existing materials and develop new materials.

[0019] The information processing device 20 performs an improvement of existing materials on the library held by the information processing device 10. For the purpose of the development of new materials, etc., you may submit feature requests for materials or The test results may be displayed on the screen.

[0020] <Examples of library factor items> Here, we will explain the analysis of the factor items for the substances included in the library. FIG. 2 is a diagram showing an example of each factor item information (part 1) of the material in this disclosure. The information on each factor of the materials includes each factor that can be measured or analyzed in the laboratory. The factor items are classified into purpose (major item), type (middle item), and measurement / analysis (minor item), and are evaluated. The valuation method is associated.

[0021] In the example shown in Figure 2, 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 analytical or measured values ​​for each subitem are stored in the memory of the information processing device 10. The evaluation method of the factor items related to "" includes, for example, a comparative value (ratio) with a control. The "above-ground weight" and "root weight" are measured by actual measurement using, for example, a microbalance. The "above ground length" is measured using a ruler, for example, and the "total biomass amount" and "root weight ratio" are , can be calculated.

[0022] The phenotype may be evaluated by testing minor items for each stress test. For example, Eye phenotype: osmolarity, phenotype: oxidation, phenotype: dryness, phenotype: injury, For each “Phenotype:Pest” and “Phenotype:Element”, sub-items may be tested and evaluated.

[0023] 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 information is The evaluation method of the factor items related to "stress" is, for example, For example, the number of hits and the "weighted average by P-Value" are included. Such sub-items (analysis values) can be obtained, for example, by gene expression analysis.

[0024] 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 (analysis or measurement) may be obtained, for example, by hormone analysis.

[0025] When the main item "Purpose" is "Nutrition Absorption", the medium item includes "Elements". The analytical or measured values ​​of each subitem are processed by information processing. The evaluation method of the factor items related to "nutrient absorption" is, for example, Includes comparative values ​​(ratios) with controls. Subitems related to "elements" (analytical or measured values) can be obtained by elemental analysis.

[0026] FIG. 3 is a diagram showing an example of each factor item information (part 2) of the material in the present disclosure. Each factor item information shown in includes each factor item that can be measured or analyzed in an actual field test. In the example shown in Figure 3, when the major item "Purpose" is "Soil Improvement," the medium item is "Soil Chemical Analysis." Includes "soil physical analysis" and "soil microbial flora analysis."

[0027] 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 information processing device 10. The evaluation method for the factor items related to "soil improvement" is, for example, In addition, the subitem "Soil chemical analysis" includes the sampling The sub-items for "soil physical analysis" are obtained by each sensor. The subitem "soil microbial flora analysis" was obtained by soil analysis using samples taken from the soil. This can be obtained by soil nutrient analysis.

[0028] 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 analytical or measured values ​​are stored in the memory of the information processing device 10. Factors related to "stable production" The evaluation method for each item includes, for example, a comparison with the previous year. The items (measurements) can be obtained using observations and data on the cultivation history of the production area. The minor items (measurements) can be obtained using data on yield and cultivation history of the production area.

[0029] 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 analytical or measured values ​​for each subcategory are stored in the memory of the information processing device 10. The evaluation method for the factor items related to "profitability" is, for example, the comparison value with the control (comparison In addition, the subitems (analysis values ​​or measurement values) related to "metabolite analysis" are included in the metabolite analysis. It can be obtained by:

[0030] <Weighting and evaluation value calculation example> The information processing device 10 detects a material (e.g., BS) from a plant, one or more factor items related to the biostimulation factor of this plant. For example, the information processing device 10 acquires measurement values ​​or analysis values ​​(e.g., FIG. 2 and FIG. 3). The data for each factor item is measured or analyzed using a device or other device. The measured or analyzed values ​​may be obtained via the network communication interface 120. In addition, in the case of factors that are obtained by actually measuring plants, the user interface When a user or the like inputs a measurement value via the interface 150, the information processing device 10 The input measurements may be acquired.

[0031] The information processing device 10 weights each measured value of each factor item obtained using each weight. For example, weights are set for each factor item based on priority. Priority can be, for example, For example, the degree of impact of BS on yield, the degree of impact as a plant growth stimulant, the degree of impact on plant physiology, etc. Weights are assigned to each factor item based on the order in which it operates, etc.

[0032] Here, regarding weighting, an example of a weight setting procedure 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.

[0033] The information processing device 10 converts each of the weighted measurement values ​​or each of the analysis values ​​into a data set such as a BS. The evaluation value of the material is calculated by inputting the evaluation value of the material into a function related to the evaluation of the material. For example, the information processing device 10 The sum of the weighted measured values ​​or analytical values ​​may be calculated as the evaluation value E of the material (equation 1). E=Σwi×si...Equation 1 i:Factor item wi: weight of factor item i si: Measured value or each analysis value of factor item i

[0034] In addition, the information processing device 10 may, for example, store data of measured values ​​or analytical values ​​of each factor item for a material. When a certain amount of data is collected, the measured or analyzed values ​​of each factor are entered to obtain an evaluation value. The evaluation value may be calculated using a machine learning model that predicts the evaluation value. The unit 115 stores a training data including the measurement value or analysis value of each factor item and the annotated evaluation value. The evaluation value is calculated by using a trained model that has undergone supervised learning using data. In addition, the information processing device 10 may calculate a standard deviation as an example of the evaluation value. Good too.

[0035] When calculating the evaluation value as described above, the information processing device 10 For example, each function of an amino acid can be obtained by The expressed genes and / or the expression levels of the genes and their functions ( Examples include high temperature stress, low temperature stress, osmotic stress, injury stress, drought stress, and oxidation stress. Stress, pest stress, element stress, etc.) are associated with the library. For example, the library contains gene a with high temperature stress function and its expression level in the source A. a1, gene b that has a pest stress function and its expression level b1, etc. are associated with each other.

[0036] The library may also be associated with a BS, and may include one or more entities of the BS and The functions of the BS, the effect factors that cause the functions, the indicators related to the effect factors, and / or may be associated with a BS evaluation value.

[0037] 4 is a diagram showing an example of a library in the present disclosure. In the example shown in FIG. For each function (M1, M2, M3, ...), stress A, stress B, stress C, ... Effect factors, such as gene expression based on gene expression analysis results, factors based on elemental analysis ( Factors from plant hormone analysis (elements that affect function) and hormones that affect function In addition, each effect factor is associated with an index related to the factor, such as the amount of gene expression. In addition, since each active ingredient has a function that it does not perform, the function column is left blank. It may be possible to have some ability.

[0038] As a specific example of the library, the amino acid proline (e.g., drug substance M1) is a cytosine that is resistant to high temperature stress. Genes Hsp101 (e.g. GA1) corresponding to functions (e.g. stress A) and their expression levels (N1), and the gene EIN2 ( For example, the presence of GC1 and its expression level (N9) are registered in the library. As the analysis progressed, gene expression analysis was performed on each substance to identify expressed genes, hormones, and Plant hormones whose effects have been confirmed through analysis, and elements whose effects have been confirmed through elemental analysis, In addition, when an expressed gene is registered in the library, the gene is registered in the corresponding function column. The amount of gene expression may be registered as an index related to the factor.

[0039] In addition, the library contains the BSs whose evaluation values ​​have been calculated by the analyses shown in Figures 2 and 3. For example, the substances Mn to Mm included in the library may be substances included in a specific material. Each active ingredient may be associated with a function it performs and its effector.

[0040] The evaluation value calculation is not performed by the information processing device 10 but by another information processing device. The device 10 can acquire libraries from other information processing devices, and can acquire functions and factors for each substance. You can also use it to build a library.

[0041] <Configuration> FIG. 5 is a diagram illustrating an example of a configuration of an information processing device 10 according to an embodiment of the present disclosure. 6 is a diagram showing an example of a configuration of an information processing device 20 according to an embodiment of the present disclosure. Next, the processing of each device will be explained using the library usage method as an example.

[0042] 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.

[0043] 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.

[0044] 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.

[0045] 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.

[0046] 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.

[0047] 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 measurement values ​​of each factor item, the functions used to evaluate the materials, the evaluation values ​​of each material, Store information such as a library that summarizes the functions of each substance contained or that may be contained in the material. The memory 130 may store only libraries acquired from other information processing devices. stomach.

[0048] The processor 110 executes a program stored in the memory 130 to control 112, a first acquisition unit 113, a second acquisition unit 114, an extraction unit 115, a determination unit 116, and an output unit 1 17, which constitutes the estimation unit 118.

[0049] The control unit 112 controls the process of improving or developing materials using the library. The unit 112 includes a first acquisition unit 113, a second acquisition unit 114, an extraction unit 115, a determination unit 116, and an output unit The processing unit 117 controls the processing of the estimation unit 118.

[0050] The first acquisition unit 113 acquires a material or ingredient having an effect of increasing resistance to abiotic stress. A first requirement is obtained for a first function of a given substance or a given ingredient in the body. The acquisition unit 113 is a unit in which a first function (e.g., a pest stress function) of an existing material or a certain active ingredient is specified. A first request for the specified first function is sent to the information processing device 20 or the user interface 1 50. Using the library shown in FIG. 4 as an example, the first acquisition unit 113 A first request for stress B is sent from the information processing device 20 or the user interface 150. You may obtain it.

[0051] In addition, the first acquisition unit 113 is configured to acquire the specified existing material or a certain raw material. A certain raw material is acquired from the information processing device 20 or the user interface 150, and Identifying a first function of a certain substance, obtaining a first requirement for the identified first function, Using the library shown in FIG. 4 as an example, the first acquisition unit 113 may 0 or the user interface 150, and a stress B is identified from the raw material M2. and obtain a first requirement for stress B.

[0052] The second acquisition unit 114 acquires a second function based on the first function specified by the first request. For example, the second acquisition unit 114 acquires a first function ( The second requirement may be either the same function as the first requirement (e.g., osmotic stress function) or a different function. The function may be the same as the first function or a different function, which may be set in advance. Using the above library as an example, the second acquisition unit 114 acquires a function that is the same as stress B (first function). obtain a second demand on a different function (e.g., Stress B) or a different function (e.g., Stress A); , the second function may include multiple functions (e.g., stress A and stress C).

[0053] The extraction unit 115 extracts management information (library information) that associates the presence or absence of each function with each material or substance. ) to extract one or more originals that satisfy the second requirement. For example, the extraction unit 115 Extract from the library an entity having a second function specified by the request. Using the library as an example, the extraction unit 115 extracts an ingredient M1 having a stress A (second function) and M4. In addition, the extraction unit 115 may extract M5 and M6. In some cases, all functional entities and / or each functional entity having at least one function The extracted active ingredient or active ingredients may be identified as having a specific function. It would be good if that were the case.

[0054] The determination unit 116 determines at least one of the one or more substances extracted by the extraction unit 115. For example, the determination unit 116 may select one of the raw materials. The selection may be based on user operations, or on an index related to an effect factor. In the case where the determination is based on a user operation, the determination unit 116 may store a list of one or more extracted ingredients in the information. The processing device 20 outputs the data, and at least one selected original is acquired from the information processing device 20. In addition, when it is based on the index related to the effect factor, the determination unit 116 may select the effect-prone item. Alternatively, a predetermined number (at least one) of the top-ranked substances may be selected. Taking the example of the rally, the determination unit 116 determines whether the index N1 of the effect factor GA1 and the index N2 of the effect factor GA4 are For example, a drug substance M4 having a GA4 likely to be highly effective may be selected by comparing the drug substance M4 with the target drug N4. The determination unit 116 determines a combination of the selected ingredient and a predetermined material or a predetermined ingredient.

[0055] The output unit 117 outputs the combination determined by the determination unit 116, i.e., the selected element. For example, the output unit 117 outputs a combination of the determined substance and the predetermined material or the predetermined ingredient. The combination thus obtained is output to the information processing device 20 that has output the first request. Using the library as an example, the output unit 117 outputs the original body M4 having the second function (stress A) and , and output a combination with the agent M2 having the first function (stress B). is a potential new material (new BS), or if M2 is an existing material, improves the existing material. The output unit 117 may output one or more of the elements included in the combination. The functions may be output together with the combination of entities.

[0056] The above process provides a new mechanism for effectively utilizing the results of material analysis. For example, based on the results of analysis of a material, for each active ingredient that is or may be contained in the material, By building a library that lists the availability of each function, you can use the library to It will be possible to develop new materials that combine functions and improve existing materials.

[0057] The first acquisition unit 113 also acquires one or more originals included in a library (an example of management information). obtaining a first request regarding a first function identified from among one or more functions of For example, in the case of the library shown in FIG. 4, the first acquisition unit 113 may acquire the original When M1 is designated, the first element regarding the function (stress A and stress C) of the substance M1 is The first request includes both functions (Stress A and Stress C) in the first request. Alternatively, the more effective function (either Stress A or Stress C) may be included in the first requirement. The first acquisition unit 113 may acquire an index (measurement value) related to an effect factor to determine whether the effect is high or not. If there are multiple functions, the user may use one of them. Alternatively, the user may be allowed to select one of the functions.

[0058] Through the above process, the information processing system 1 specifies raw materials that are contained or may be contained in the materials. It allows users to create new combinations of active ingredients that have the functions desired by the user, starting from the active ingredient. This will enable support for the development of materials.

[0059] As described above, the second function may be the same as the first function or a different function from the first function. Either one may be selected and specified. For example, the second function may be set to Either the same function as the first function or a function different from the first function is selected by the second acquisition unit 114. The first function may be the same as the first function or may be different from the first function, depending on the user's selection. Alternatively, any one of the functions may be selected and specified by the second acquisition unit 114.

[0060] By the above process, if the first and second functions are the same, materials that enhance this function will be used. If the first and second functions are different, it is possible to propose the desired function. It will be possible to propose new materials to combine.

[0061] As mentioned above, the management information (library) is compiled for each raw material based on the analysis results of the material. The identified effect factor may be associated with an index related to the effect factor. The library includes expressed genes and their expression levels obtained by gene expression analysis, The elements analyzed by elemental analysis and their analytical values ​​(compared to the control), In addition, the hormones analyzed by the hormone analysis and the analyzed values ​​of those hormones are associated. This may also be the case.

[0062] This allows, for example, when there are multiple effect factors with the same function, This makes it possible to select a drug substance based on the indicators that are obtained.

[0063] As mentioned above, the effect factors are gene expression based on the results of gene expression analysis and element analysis. The factors may include at least one of factors based on soil fertility and factors based on plant hormone analysis. Factors obtained by phylogenetic analysis, metabolite analysis, etc. may be included in the effect factors.

[0064] This allows the library to contain a variety of analyses, based on a variety of factors. Based on this, it becomes possible to select combinations of active substances or combination candidates.

[0065] In addition, the estimation unit 118 uses the evaluation function of the material to calculate the evaluation value of the material that is a combination of the raw materials. For example, the estimation unit 118 estimates each index ( The estimated evaluation value may be calculated by substituting the measured value or analytical value into the above formula (1).

[0066] Through the above process, the estimated evaluation value for the effect of each ingredient when combined is In addition, the estimation unit 118 can predict the It will be possible to predict ranks based on the effectiveness of new and improved materials.

[0067] In addition, the output unit 117 uses the evaluation values ​​estimated by the estimation unit 118 to output the combination of each ingredient. For example, the output unit 117 may recommend a combination of a plurality of combinations. If there is a problem, the combination with the highest evaluation is selected using the estimated evaluation values ​​of each combination. It may also be possible to recommend the following.

[0068] By the above process, even if there are multiple combinations, the evaluation value can be estimated based on the estimated value. It is now possible to automatically select combinations that are estimated to be optimal, increasing the reliability of the recommendation function. It is possible to improve the quality.

[0069] FIG. 6 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.

[0070] The user interface 250 includes a display and an input device (keyboard and / or mouse, or some other pointing device).

[0071] 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.

[0072] 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.

[0073] The processor 210 executes a program stored in the memory 230 to The control unit 212 controls requests and the like on the client side. The unit 212 is a web browser or an application that makes a request for materials. Includes.

[0074] The web browser is used to improve existing materials provided by the information processing device 10 or to develop new materials. The website of the platform for development or proposal (library utilization platform) The web browser displays and transitions between web pages and provides information. For example, a web browser uses web pages to The request set or input by the user is transmitted to the information processing device 10. is information such as a first requirement including, for example, a specific material, a specific substance, or a specific function.

[0075] The control unit 212 also executes the installed client application. This may enable the execution of functions provided by the library utilization platform. The control unit 212 executes the process related to the library utilization of the present disclosure on the client side, It has a communication control unit 213, an operation control unit 214, and a display control unit 215.

[0076] The communication control unit 213 communicates with the information processing device 10 with the predetermined materials and The communication control unit 213 outputs a first request for the first function, or the like. The combination results of each ingredient transmitted from the information processing device 10 are obtained.

[0077] The operation control unit 214 controls the user's operations on UI parts displayed on each screen and key inputs. The operation information is received, and the operation information is transmitted to an application of the information processing device 20. For example, the operation control unit 214 receives the first request. Then, the first request is output to the information processing device 10.

[0078] The display control unit 215 controls the line based on each screen information acquired by the communication control unit 213. Controlling each screen related to the library utilization platform to be displayed on the display 251 For example, the display control unit 215 controls the display of the first request screen, the combination result screen, etc. do.

[0079] <Processing Procedure> Next, each process of the information processing system 1 will be described. 11 is a flowchart showing an example of processing of the information processing device 10.

[0080] In step S102, the control unit 112 of the information processing device 10 determines the type of combination. The type of combination indicates the type of function for combining the ingredients, and the control section 112 acquires a setting value indicating whether the functions are the same or different. The value may be set to either by default or selected by the user. In addition, this step S102 may be executed after step S104 described later. Good too.

[0081] In step S104, the first acquisition unit 113 of the information processing device 10 acquires a non-biological storage medium. The first function of a specified substance or specified active ingredient among substances or active ingredients that have the effect of increasing resistance to The first request for the capability is obtained.

[0082] In step S106, the second acquisition unit 114 of the information processing device 10 receives the A second requirement for a second function based on the identified first function is obtained.

[0083] In step S108, the extraction unit 115 of the information processing device 10 extracts, for each material or raw material, From the management information (library) that associates the presence or absence of each function, one or more functions that meet the second requirement are selected. Extract the original substance.

[0084] In step S110, the determination unit 116 of the information processing device 10 extracts Select at least one active ingredient from the list of one or more active ingredients extracted, The combination of the selected active ingredient with a specified material or a specified active ingredient is determined.

[0085] In step S112, the output unit 117 of the information processing device 10 determines whether The determined combination, i.e., the combination of the selected active ingredient with the specified material or the specified active ingredient The output destination is, for example, the information processing device 20 that transmitted the first request or the information processing device This is a display of unit 10.

[0086] Next, the processes in steps S104 to S110 described above are performed in three patterns as shown below. The first pattern is the first process (FIG. 8) in which the user designation is accepted. The second pattern is the semi-automatic process (Fig. 9), and the third pattern is the automatic process (Fig. 10). This is the theory (Figure 10).

[0087] FIG. 8 is a flowchart illustrating an example of a first process according to an embodiment of the present disclosure. In step S202 shown in FIG. 8, the first acquisition unit 113 acquires a target function (first function) from the user. The user receives a designation of the first function and acquires a first request for the first function. The user may be a user using the information processing device 10 or a user using the information processing device 20.

[0088] In step S204, the second acquisition unit 114 acquires the target function specified by the first request. A function different from or the same as the function is specified by the setting value in step 102, and the specified function (the 2) to obtain the second request for the

[0089] In step S206, the extraction unit 115 refers to the library and responds to the second request. For example, the extractor 115 extracts one or more ingredients specified by the second request. Extract functional ingredients, make a list, and display it on a display. The display may be the display of the information processing device 10 or the display of the information processing device 20. That's fine too.

[0090] In step S208, the determination unit 116 selects an original material desired by the user from the extraction list. Accept the designation of the specified material, select the accepted material, and combine the selected material with the specified material or the specified Determine the combination with the original substance.

[0091] Through the above process, the user can input materials having the functions desired by the user to the information processing system. It will be possible to identify it using 1.

[0092] FIG. 9 is a flowchart illustrating an example of the second process according to an embodiment of the present disclosure. Steps S302 and S304 shown in FIG. 9 are similar to steps S202 and S204 shown in FIG. Therefore, the description will be omitted.

[0093] In step S306, the determination unit 116 selects the item from the list extracted by the extraction unit 115. The combination is automatically determined from the available options, and a list of combination candidates is displayed on the screen. At this time, the determination unit 116 uses the evaluation value estimated by the estimation unit 118 to determine the evaluation. The combinations may be displayed in descending order of value.

[0094] In step S308, the determination unit 116 selects a combination candidate that corresponds to the user operation from among the combination candidates. Based on the above, the user's desired combination is accepted, and the accepted combination is made into the final combination. It is decided as a match.

[0095] The above process automates the generation of combination candidates, and reduces the user's selection procedure. In addition, by using the estimated evaluation value, the user can obtain an objective index. It is possible to select combination candidates using

[0096] FIG. 10 is a flowchart illustrating an example of the third process in an embodiment of the present disclosure. Steps S404 and S406 shown in FIG. 10 are the same as step S304 shown in FIG. 9 (see FIG. 8). Since this is similar to steps S204) and S306, the explanation will be omitted.

[0097] In step S402, the first acquisition unit 113 automatically selects a target function (first function). For example, the first acquisition unit 113 may acquire a first request for the first function. The functions of registered substances or existing materials are checked at a predetermined time (e.g. once a month) You can choose to.

[0098] In step S408, the determination unit 116 selects a combination desired by the user from among the combination candidates. Accept the combinations and decide the accepted combination as the final combination. The determination unit 116 automatically determines the optimum value by using the evaluation value estimated by the estimation unit 118. A predicted combination may be determined.

[0099] The above process makes it possible to automate the process from selecting target functions to generating candidate combinations. Or, the combination can be automatically determined, reducing the user's effort in making selections. It can be done.

[0100] 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.

[0101] For example, the determination unit 116 may determine, for a combination of ingredients, a combination of ingredients related to an effect factor for calculating an evaluation value. Using the assigned priorities or weights, factors with high priorities or high weights are selected. As described above, the lane in the example shown in FIG. The library includes data on each ingredient that may be included in the material, and is stored in response to a request by the information processing device 10. The functional items that the searched raw material may have are compared with the effects of each function by the information processing device 10. The data structure includes a factor item and a formula for determining whether the original is a stoichiometric value. Then, one or more of the candidates are selected and combined as candidates for the material. A factor item may be associated with an index relating to the factor item. [Explanation of symbols]

[0102] 1...information processing system, 10, 20...information processing device, 110...processor, 112...control unit, 113...first acquisition unit, 114...second acquisition unit, 115...extraction unit, 116...determination unit, 11 7...output unit, 118...estimation unit, 130...memory, 210...processor, 230...memory, 212: control unit, 213: communication control unit, 214: operation control unit, 215: display control unit

Claims

1. A data structure of management information processed by an information processing device, Each first data point represents a material or raw material that has the effect of increasing resistance to abiotic stress, Each second data showing the respective functions of the material or the raw material, If a predetermined material or element among the first data has a predetermined function among the second data, then the third data associated with the predetermined material or element and the predetermined function includes: The aforementioned information processing device The first function included in each of the second data is obtained for the first material or first raw material included in each of the first data. Identify a second function that includes either the same function as the first function or a different function, Based on each of the third data mentioned above, one or more elements having the second function are extracted from each of the first data mentioned above. Output the extracted one or more original substances. The data structure used in processing.

2. The data structure according to claim 1, wherein each of the first data items is associated with an effect factor identified by the analysis results of the material and an index relating to the effect factor.

3. The data structure according to claim 2, wherein the effect factor includes at least one of gene expression based on gene expression analysis results, a factor based on elemental analysis, and a factor based on plant hormone analysis.

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