Agricultural support programs and agricultural support methods

Abstract

To provide information on a cultivation system suitable for a user.SOLUTION: An input receiving unit 20 acquires input information (information on cultivation conditions) of a user. An evaluation axis generation unit 22 classifies the input information and information obtained from the input information into a qualitative evaluation axis and a quantitative evaluation axis. An elemental technology selection unit 26 specifies an elemental technology suitable for a user based on the qualitative evaluation axis, and selects or evaluates (sets priorities on) another elemental technology based on the quantitative evaluation axis. An output unit 32 outputs a screen that displays a cultivation system generated by a cultivation system generation unit 28 based on a processing result of the elemental technology selection unit 26 to a user terminal 70.SELECTED DRAWING: Figure 3

Description

Technical Field

[0001] The present invention relates to an agricultural support program and an agricultural support method.

Background Art

[0002] In recent years, due to new farmers starting farming or expanding their scale, etc., the problem has arisen that production has become unstable, especially among producers with little experience. To formulate a crop cultivation plan (planting plan), it is necessary to consider the situation of the business entity (labor force, planting scale, owned machinery, etc.), and various knowledge such as variety selection, cultivation time selection, fertilization method determination, pest and weed control method determination, as well as the latest information on agricultural machinery, materials, fertilizers and pesticides used, and the laws and regulations related to these. In addition, "SDGs (Sustainable Development Goals)", "Green Food System Strategy", "GAP (Good Agricultural Practices) certification", and even the motivation and enthusiasm of producers can also affect the cultivation plan. Formulating such a complex and cumbersome cultivation plan is a difficult task for producers with little experience.

[0003] Recently, systems for supporting producers with little experience have been known (see, for example, Patent Documents 1, 2, etc.).

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, for example, the agricultural work support system described in Patent Document 1 is based on the premise of cultivating crops in a narrow space such as a planter. Furthermore, Patent Documents 1 and 2 do not necessarily provide appropriate cultivation support information for producers.

[0006] Therefore, the present invention aims to provide an agricultural support program and an agricultural support method that can output information to support users in cultivating crops. [Means for solving the problem]

[0007] The agricultural support program of the present invention includes an acquisition step of acquiring information on cultivation conditions entered by a user cultivating crops; a secondary information acquisition step of acquiring information from the database that corresponds to the acquired information on cultivation conditions, and / or information obtained from a combination of multiple pieces of information from the corresponding information and the acquired information on cultivation conditions, as secondary information; and a classification step of classifying the acquired information on cultivation conditions and the secondary information obtained from the information on cultivation conditions into quantitative information that can be expressed numerically regarding cultivation results, labor required for cultivation and costs, and qualitative information other than the quantitative information. Includes information on varieties and specifications. First elemental technology For each of the options, using the first element technology evaluation table which links qualitative information, the options of the first element technology to which the qualitative information classified in the classification step is linked are selected. Elemental technologies suitable for the aforementioned cultivation as Identify, Based on a second element technology evaluation table that stores information on each of the second element technology options that are different from the first element technology, and the quantitative information classified in the classification step, among the second element technology options included in the second element technology evaluation table, The aforementioned Elements of technology suitable for cultivation choice do or Whether each of the second element technology options included in the second element technology evaluation table is suitable for the cultivation described above. The processing steps to be evaluated, As elemental technologies suitable for the aforementioned cultivation The identified First Elemental technologies Options and, Selected or evaluated The second element technology The options and This is an agricultural support program that outputs information indicating and causes a computer to execute. [Effects of the Invention]

[0008] The agricultural support program and agricultural support method of the present invention have the effect of being able to output information to support users in cultivating crops.

Brief Description of Drawings

[0009] [Figure 1] It is a diagram schematically showing the configuration of the growth state prediction system according to the first embodiment. [Figure 2] Fig. 2(a) is a diagram showing the hardware configuration of the server, and Fig. 2(b) is a diagram showing the hardware configuration of the user terminal. [Figure 3] It is a functional block diagram of the server according to the first embodiment. [Figure 4] It is a diagram showing an example of the input screen. [Figure 5] It is a diagram schematically showing the processing of the evaluation axis creation unit. [Figure 6] It is a diagram showing a specific processing example of the evaluation axis creation unit. [Figure 7] It is a diagram for explaining the processing of the work schedule determination unit. [Figure 8] It is a diagram schematically showing the processing of the element technology selection unit. [Figure 9] It is a diagram (Part 1) showing the technology evaluation table. [Figure 10] It is a diagram (Part 2) showing the technology evaluation table. [Figure 11] It is a diagram (Part 3) showing the technology evaluation table. [Figure 12] It is a diagram for explaining an example of the comparison and selection process of technologies based on the optimum values by the element technology selection unit. [Figure 13] It is a schematic diagram for explaining the processing of the cultivation system creation unit. [Figure 14] It is a schematic diagram for explaining the processing of the trial calculation unit. [Figure 15] It is a diagram showing an example of the screen displayed on the display unit of the user terminal. [Figure 16] It is a diagram for explaining the change processing by the user. [Figure 17] It is a flowchart showing the processing of the server. [Figure 18] It is a functional block diagram of the server according to the second embodiment. [Figure 19] This figure schematically shows the processing of the element technology selection unit according to the second embodiment. [Figure 20] This diagram shows information about elemental technologies stored in the elemental technology database. [Figure 21] This figure shows an example of an objective function and constraint equations in onion cultivation. [Figure 22] This figure shows an example of a display screen output in the second embodiment. [Figure 23] This figure shows the pop-up screen that appears when you select the "Plant" link in the screen shown in Figure 22. [Figure 24] Figure 24(a) shows the "Technologies Used" screen (tab), and Figure 24(b) shows the "Breakdown of Variable Costs" screen (tab). [Figure 25] Figure 25(a) shows the "Fixed Cost Breakdown" screen (tab), and Figure 25(b) shows the "Management Analysis Indicators" screen (tab). [Figure 26] Figures 26(a) to 26(c) are diagrams illustrating individual technology selections. [Figure 27] Figures 27(a) to 27(d) are diagrams used to explain technology selection based on business simulations. [Figure 28] This diagram explains how to handle improvement requests. [Figure 29] This figure shows an example of the display screen that appears after an improvement request has been submitted. [Figure 30] Figure 30(a) shows the "Technologies Used" screen (tab) after an improvement request, and Figure 30(b) shows the "Breakdown of Variable Costs" screen (tab) after an improvement request. [Figure 31] Figure 31(a) shows the "Fixed Cost Breakdown" screen (tab) after an improvement request, and Figure 31(b) shows the "Management Analysis Indicators" screen (tab) after an improvement request. [Modes for carrying out the invention]

[0010] 《First Embodiment》 The agricultural support system according to the first embodiment will be described in detail below.

[0011] Figure 1 schematically shows the configuration of the agricultural support system according to the first embodiment. The agricultural support system 100 of this embodiment is a system that supports crop production by users (e.g., producers such as farmers and agricultural corporations) by providing information on cultivation systems suitable for the user when the user produces (cultivates) crops.

[0012] As shown in Figure 1, the agricultural support system 100 comprises a server 10 and a user terminal 70. The server 10 and the user terminal 70 are connected to a network 80 such as the Internet.

[0013] Server 10 is an information processing device installed in a data center or the like. It acquires information input from the user terminal 70, generates information to be provided to the user using the acquired information and various models, and outputs the generated information to the user terminal 70.

[0014] Figure 2(a) shows the hardware configuration of server 10. As shown in Figure 2(a), server 10 includes a CPU (Central Processing Unit) 90, ROM (Read Only Memory) 92, RAM (Random Access Memory) 94, a storage unit (HDD (Hard Disk Drive) or SSD (Solid State Drive), etc.) 96, a network interface 97, and a portable storage medium drive 99. These components of server 10 are connected to a bus 98. In server 10, the CPU 90 executes programs (including agricultural support programs) stored in the ROM 92 or the storage unit 96, or programs (including agricultural support programs) read from the portable storage medium 91 by the portable storage medium drive 99, thereby realizing the functions of each component shown in Figure 3. Note that the functions of each component in Figure 3 may be realized by integrated circuits such as ASICs (Application Specific Integrated Circuits) or FPGAs (Field Programmable Gate Arrays). Details of each component in Figure 3 will be described later.

[0015] The user terminal 70 is a terminal such as a PC (Personal Computer), smartphone, or tablet that can be used by the user. The user terminal 70 displays information provided by the server 10. The user also inputs information such as the producer's business information, crop production policies, and machinery and equipment owned by the producer into the user terminal 70. The user terminal 70 has the hardware configuration shown in Figure 2(b). Specifically, as shown in Figure 2(b), the user terminal 70 includes a CPU 190, ROM 192, RAM 194, storage unit (HDD, SSD, etc.) 196, network interface 197, display unit 193, input unit 195, and a portable storage medium drive 199 capable of reading portable storage media 191. Each of these components of the user terminal 70 is connected to the bus 198. The display unit 193 includes a liquid crystal display, and the input unit 195 includes a keyboard, mouse, touch panel, etc.

[0016] Figure 3 shows a functional block diagram of the server 10. As shown in Figure 3, the CPU 90 executes programs to realize the functions of the server 10 as an input reception unit 20, an evaluation axis creation unit 22, a work schedule determination unit 24, an element technology selection unit 26, a cultivation system creation unit 28, a calculation unit 30, an output unit 32, and a change reception unit 34. Figure 3 also shows various databases stored in the memory unit 96, etc.

[0017] The various databases include Soil DB40, Weather DB41, Variety DB42, Model DB43, Cultivation DB44, Elemental Technology DB45, and Agricultural Machinery DB46.

[0018] For Soil DB40, e-Soil Map II (https: / / soil-inventory.dc.affrc.go.jp / eSoilMap.html) or an equivalent soil database can be used. Soil DB40 is assumed to contain physical, chemical, and biological data related to crop productivity.

[0019] Let's assume that weather DB41 stores agricultural weather data in a 1km mesh, for example. This agricultural weather data includes, for example, daily average temperature and precipitation data for each location.

[0020] The Variety DB42 stores data on various traits for each crop variety (early / late maturity, average harvest weight (bulb weight, root weight, etc.), disease resistance, suitability for commercial processing, moisture content, etc.).

[0021] Model DB43 is assumed to contain a comprehensive set of models related to crop production (fertilization design models, disease control models, insect control models, weed control models, management models, etc.). Furthermore, Model DB43 is assumed to include the databases used by each of these models.

[0022] Cultivation DB44 stores information on a series of cultivation procedures related to crop production. For example, Cultivation DB44 is assumed to contain cultivation manuals created by public research institutions and agricultural cooperatives. Cultivation systems include standard cultivation systems, regionally specific cultivation systems, and cultivation systems tailored to the use of agricultural machinery and products (household consumption, processing business use), and each of these systems defines a series of work procedures such as field management, sowing, transplanting, fertilization, weed control, pest and disease control, harvesting, and shipping.

[0023] The Element Technology DB45 contains more detailed information on individual cultivation-related technologies than the Cultivation DB44 (technical evaluation tables as shown in Figures 9 to 11, described later). Each technical evaluation table summarizes information such as the target crop, implementation effects, and costs for each individual element technology.

[0024] The Agricultural Machinery DB46 stores information for each agricultural machine used in a given task, including the type of work it is used for, how to set up and adjust the machine, work efficiency, the time required for the work and setup, ease of use, and installation costs.

[0025] The following provides a detailed explanation of each function of server 10.

[0026] The input reception unit 20 acquires information entered by the user on the user terminal 70. On the user terminal 70, the user enters information such as the producer's business information, crop production policies, and machinery and equipment owned by the producer on an input screen as shown in Figure 4. Business information includes location information (latitude, longitude), labor force, and scale of operations. Policy information includes information such as crops to be cultivated, technical level, combination with other crops, crop uses, and shipping period. Information on owned machinery and equipment includes information on machinery and equipment owned by the producer, such as tractors and seeders, and information on facilities owned by the producer (such as collection facilities). The user may also enter weather information such as precipitation and wind speed on the input screen in Figure 4. The input reception unit 20 acquires the information entered on the input screen in Figure 4.

[0027] As schematically shown in Figure 5, the evaluation axis creation unit 22 classifies the information acquired by the input reception unit 20 and the information obtained from the acquired information (secondary information) into qualitative evaluation axes and quantitative evaluation axes (see Figure 5). Here, secondary information refers to information obtained from combinations of user input information, and information obtained from user input information and information stored in the soil DB 40 and weather DB 41. The evaluation axes serve as the criteria for selecting or prioritizing individual cultivation techniques related to crop production (hereinafter referred to as "elemental techniques"). Here, qualitative evaluation axes refer to information necessary for establishing a cultivation system and are evaluation axes that are difficult to compare numerically. On the other hand, quantitative evaluation axes refer to characteristics that can be compared numerically.

[0028] Figure 6 shows a specific example of the processing performed by the evaluation axis creation unit 22. For example, suppose a user enters the input information shown on the left side of Figure 6 into the input screen in Figure 4. The example in Figure 6 shows a case in which a large-scale farming operation, mainly focused on rice cultivation, has introduced a fully mechanized system for processing cabbage.

[0029] In this case, the evaluation axis creation unit 22 can obtain weather information such as "high precipitation" and soil information such as "sandy soil" from the weather DB 41 and soil DB 40 based on the location information "latitude and longitude". The evaluation axis creation unit 22 then classifies these "high precipitation" and "sandy soil" into qualitative evaluation axes. The evaluation axis creation unit 22 also classifies the item "cabbage" and usage "processing / commercial use" entered by the user directly into qualitative evaluation axes. Furthermore, the evaluation axis creation unit 22 generates an evaluation axis "stable production" from the shipping period "long" and the technical level "low". The reason why evaluation axes can be created in this way is that the combination of the shipping period "long" and the technical level "low" is pre-associated with the evaluation axis "stable production" in the evaluation axis creation unit 22. The evaluation axis creation unit 22 then classifies this "stable production" into quantitative evaluation axes. Furthermore, the evaluation axis creation unit 22 generates an evaluation axis of "large scale and labor-saving" from the business scale "large scale", core workforce "5 people", and evaluation axis / policy "diversified management, aging workforce". The evaluation axis creation unit 22 classifies this "large scale and labor-saving" into quantitative evaluation axes. In addition, the evaluation axis creation unit 22 generates an evaluation axis of "integrated mechanization system for processed and commercial cabbage" based on each evaluation axis. The evaluation axis creation unit 22 classifies this "integrated mechanization system for processed and commercial cabbage" into qualitative evaluation axes.

[0030] In addition to the evaluation axes listed in Figure 6, other qualitative evaluation axes include "small-scale cultivation," and quantitative evaluation axes include "profit expansion," "scale expansion," "costs," and "long-term shipping."

[0031] Returning to Figure 3, the work schedule determination unit 24 determines the schedule for various tasks necessary for cultivation management based on the evaluation axes classified by the evaluation axis creation unit 22, the information on shipping time and shipping volume entered by the user, the weather information corresponding to the location information read from the weather DB 41, the growth model read from the model DB 43, and the variety information read from the variety DB 42.

[0032] Figure 7 schematically shows the processing content of the work schedule determination unit 24. As shown in Figure 7, the work schedule determination unit 24 determines the shipping target, planted area, and planted area by variety based on the shipping time and quantity information, qualitative evaluation axes, and various databases entered by the user, and also adjusts the schedule of major tasks. At this time, the work schedule determination unit 24 reads models such as growth models from the model DB 43, adds information obtained from the weather DB 41 and variety DB 42 to perform growth prediction, and determines the work schedule by combining the results of the growth prediction with the cultivation DB 44. In addition, when determining the work schedule, the work schedule determination unit 24 uses growth models, fertilization design models, weed control models, etc. to determine the timing of sowing, transplanting, fertilization, etc.

[0033] The element technology selection unit 26 selects specific element technologies to be applied to each task and assigns priorities to them, based on the work schedule determined by the work schedule determination unit 24, the qualitative and quantitative evaluation axes created by the evaluation axis creation unit 22, and the technology evaluation table obtained from the element technology DB 45, etc. Here, as can be seen from Figure 8 which schematically shows the processing of the element technology selection unit 26, the element technology selection unit 26 performs two types of processing: technology selection using the key-out method and comparison and selection of technologies based on optimal values.

[0034] In this embodiment, the key-out method of technology selection is a process of selecting elemental technologies that are associated with each key or a combination of keys, using the qualitative evaluation axes (characteristics for selecting elemental technologies) created by the evaluation axis creation unit 22 as keys. The elemental technology selection unit 26 reads a technology evaluation table, such as the one shown in Figure 9, from, for example, the elemental technology DB 45, and selects elemental technologies using this technology evaluation table.

[0035] For example, suppose the qualitative evaluation axes classified by the evaluation axis creation unit 22 from the information entered by the user are "cabbage," "for processing," and "large size." In this case, the element technology selection unit 26 selects element technologies from the technology evaluation table in Figure 9, using "cabbage," "for processing," and "large size" as keys. Here, the technology evaluation table in Figure 9 (and the background data in the database) defines numerical information such as variable costs, fixed costs, working hours, actual costs and working hours related to the technology introduction effect, and indicators for each expected combination of element technologies.

[0036] The element technology selection unit 26 executes processing using "cabbage," "for processing," and "large head" which have been classified as qualitative evaluation axes by the evaluation axis creation unit 22 in the technology evaluation table in Figure 9. That is, the element technology selection unit 26 selects a column in the "evaluation axis" column of the technology evaluation table in Figure 9 that contains all of "cabbage," "for processing," and "large head" (see the underlined part in Figure 9). In this case, the selected column includes "winter head varieties" among the variety lineages "ball type," "sour type (spring type)," and "winter head varieties," and includes "2L" and "2L<" among the head weight specifications "M," "L," "2L," and "2L<." In this way, in the key-out type technology selection, an element technology suitable for the user is selected from the selectable element technologies (first element technologies) based on the information entered by the user and the words that indicate the characteristics of the crop production (cultivation) method obtained from that information. Note that Figure 9 does not include unrealistic content, such as the absence of the "M" specification for processing applications. This prevents unrealistic content from being mistakenly selected.

[0037] The element technology selection unit 26 temporarily stores the two columns narrowed down in Figure 9 as candidate element technologies.

[0038] Similarly, the element technology selection unit 26 performs key-out technology selection using, for example, a technology evaluation table as shown in Figure 10. Figure 10 shows an example in which element technologies related to planting methods are selected from the qualitative evaluation axes "stable production" and "large fruit". In the example in Figure 10, the element technologies selected from the qualitative evaluation axes "stable production" and "large fruit" are "seedling cultivation and transplanting," and "ridges are made" and "sparse planting" is used for planting.

[0039] In this embodiment, the element technology selection unit 26 further uses technology evaluation tables other than those shown in Figures 9 and 10 to select element technologies using a key-out method. In this embodiment, by performing this process, one or more combinations of element technologies that can be selected using the key-out method can be identified. After the above processing is performed, the element technology selection unit 26 performs a technology comparison and selection process based on the optimal value.

[0040] In this optimal technology comparison and selection process, the element technology selection unit 26 calculates and compares numerical information for each element technology based on a quantitative evaluation axis.

[0041] Figure 11 shows a technical evaluation table that displays elemental technologies (entire field, portion within the ridge, localized area within the ridge, directly below the plant, two-stage) and numerical information (cost and labor) related to fertilization location, obtained from elemental technology DB45, etc. In this embodiment, the elemental technology selection unit 26 selects one of the elemental technologies (entire field, portion within the ridge, localized area within the ridge, directly below the plant, two-stage) or prioritizes the elemental technologies based on cost and labor. Note that the fertilization location (entire field, portion within the ridge, localized area within the ridge, directly below the plant, two-stage) is a second elemental technology different from the first elemental technology that can be selected using the key-out method.

[0042] The figures shown in Figure 11 include predetermined values ​​and values ​​calculated from these predetermined values ​​using a simplified method (for example, fertilizer costs, farm equipment costs, and actual number of workers). For example, "fertilizer costs" are calculated by multiplying the amount of fertilizer applied (amount of fertilizer applied) calculated from the fertilizer calculation model by the area of ​​application: 7 ha (described in the upper left column).

[0043] Furthermore, for example, when calculating "agricultural machinery costs," the element technology selection unit 26 first calculates the required number of working days per machine from the following formula (1), based on the information of the machines used in each element technology obtained from the agricultural machinery DB 46 (work efficiency (work area / day)) and the area of ​​introduction. Required working days per unit = Installation area / Work efficiency …(1)

[0044] The element technology selection unit 26 then compares the calculated required number of working days per unit with the standard number of working days. Here, "standard number of working days" refers to the standard number of working days that are permissible when the work is carried out according to the work schedule described above (Figure 7). In Figure 7, the standard number of working days for fertilization work is two weeks. If the standard number of working days is greater than the required number of working days per unit, the element technology selection unit 26 calculates the "agricultural machinery cost" as is. On the other hand, if the standard number of working days is less than the required number of working days per unit, the element technology selection unit 26 increases the number of units introduced until the standard number of working days becomes greater. Then, the element technology selection unit 26 calculates the "agricultural machinery cost" using the number of units introduced when the standard number of working days becomes greater.

[0045] Furthermore, the element technology selection unit 26 specifies that the "actual number of workers" corresponds to the number of agricultural machines mentioned above.

[0046] In the process of comparing and selecting technologies based on optimal values, the element technology selection unit 26 compares each element technology by focusing on the quantitative evaluation axis in the technology evaluation table shown in Figure 11. For example, if "cost" is one of the quantitative evaluation axes, the element technology selection unit 26 compares "fertilizer costs" and "agricultural machinery costs" in the technology evaluation table, which are related to cost. In this case, the element technology selection unit 26 may set a priority order for each element technology in descending order of cost, or it may select the element technology with the lowest cost among all the element technologies.

[0047] Furthermore, if, for example, "labor saving" is included as a quantitative evaluation axis, the values ​​corresponding to "working hours per 10a" and "actual number of workers" in the technical evaluation table will be compared. In addition, if a quantitative evaluation axis is included, the values ​​corresponding to "yield improvement effect before planting," "yield improvement effect early growth stage," "yield improvement effect mid-growth stage," and "yield improvement effect late growth stage" in the technical evaluation table will be compared.

[0048] Furthermore, when comparing elemental technologies using multiple quantitative evaluation axes, a radar chart like the one shown in Figure 12 may be created from the technology evaluation table in Figure 11. The radar chart in Figure 12 displays items related to "labor time" and "implementation effect" for each of the fertilization locations: "entire field, entire layer," "partially within the ridge," and "locally within the ridge." For example, if "labor saving" is one of the quantitative evaluation axes, the elemental technology selection unit 26 compares the "work time per 10a" indicated by number "18." In this case, it can be seen that the work time for "entire field, entire layer" is the shortest. Also, if "stable production" is one of the quantitative evaluation axes, the elemental technology selection unit 26 compares the "yield improvement effect in the early growth stage" indicated by number "23." In this case, it can be seen that the effect of "partially within the ridge" is high, followed by "locally within the ridge," and then "entire field, entire layer." In this way, different priorities can be assigned to each elemental technology depending on what quantitative evaluation axes are defined.

[0049] For example, if the quantitative evaluation axis is "cost," the element technology selection unit 26 may display only items related to "cost" on the radar chart and prioritize them in order of the size of the area of ​​the shapes shown on the radar chart.

[0050] The above process is repeated until all processing using the prepared technical evaluation sheets is completed. This ensures that each elemental technology is selected or prioritized.

[0051] Returning to Figure 3, the cultivation system creation unit 28 creates multiple cultivation systems for each quantitative evaluation axis based on the work schedule determined by the work schedule determination unit 24 and the elemental technologies selected (prioritized) by the elemental technology selection unit 26. For example, as schematically shown in Figure 13, if "stable production," "labor saving," and "cost" are defined as quantitative evaluation axes, the cultivation system creation unit 28 creates multiple cultivation systems (for example, three of each) that combine elemental technologies selected (or given high priority) based on each quantitative evaluation axis. By referring to the information of each cultivation system, it is possible to determine which elemental technologies (work timing, machinery, materials, labor hours, precautions, etc.) should be used for major work items (field preparation, sowing, etc.) and when each work should be performed.

[0052] The calculation unit 30 performs a business calculation for each cultivation system created by the cultivation system creation unit 28, using the technology evaluation table used by the element technology selection unit 26. Figure 14 schematically shows the processing of the calculation unit 30. Specifically, the calculation unit 30 obtains values ​​for each element technology selected for each cultivation system from the technology evaluation table and totals the labor hours for each cultivation system. The calculation unit 30 also totals agricultural income and agricultural management expenses by referring to the variable costs and fixed costs in the technology evaluation table. When calculating agricultural income, the shipping schedule is referred to. The calculation unit 30 also creates a graph of labor hours by ten-day period.

[0053] The output unit 32 generates a screen that displays the cultivation system created by the cultivation system creation unit 28 and the business estimates obtained by the calculation unit 30, and outputs it to the user terminal 70. Figure 15 shows an example of the screen displayed on the display unit 193 of the user terminal 70. As shown in Figure 15, the user can select one of the quantitative evaluation axes, "stable production," "labor saving," or "cost," by selecting a tab displayed at the top. For example, if "stable production" is selected as the quantitative evaluation axis, information on the top three cultivation systems selected using the quantitative evaluation axis "stable production" and the business estimates for each cultivation system will be displayed. The information for each cultivation system includes information on which elemental technologies (work timing, machinery used, materials, working hours, precautions, etc.) should be used for major work items (field preparation, sowing, etc.) and when each work should be performed. In addition, the business estimate information displays values ​​for working hours, agricultural income, and agricultural management expenses, as well as a graph of working hours by ten-day period.

[0054] In addition, in business projections, it is sufficient to project at least one of the following: working hours, agricultural income, agricultural operating expenses, or working hours by ten-day period (graph). Alternatively, you may add other projection items besides those mentioned above.

[0055] Furthermore, if the user currently has a cultivation system (conventional practice), the output unit 32 can also display a comparison of the conventional cultivation system and its business projections, as shown in the screen of Figure 15. This allows the user to consider which cultivation system to select by comparing the conventional cultivation system with the new candidate cultivation system.

[0056] Figure 16 shows the details of the cultivation system for "Candidate 1" in Figure 15. Users can modify each item shown in the cultivation system as needed. For example, by selecting "Fertilization," which is enclosed in a thick border in Figure 16, users can change the details related to fertilization.

[0057] Returning to Figure 3, when the user changes some of the content on the screen output by the output unit 32, the change reception unit 34 notifies the input reception unit 20 of the changes. In this case, the input reception unit 20 transmits the changes to the work schedule determination unit 24 and the element technology selection unit 26, causing them to re-execute the work schedule determination process and the element technology selection process based on the changes, and also causing the cultivation system creation unit 28 to recreate the cultivation system and the calculation unit 30 to re-execute the business calculation. The output unit 32 then displays the recreated cultivation system and business calculation. This allows the user to confirm the cultivation system and business calculation that reflect the changes. The output unit 32 may also display the cultivation system and business calculation before the changes and the cultivation system and business calculation after the changes in a comparable manner. This allows the user to confirm whether the changes they have made are appropriate.

[0058] (Regarding the processing flow of Server 10) Next, we will explain the processing flow in server 10 following the flowchart in Figure 17.

[0059] As shown in Figure 17, in step S10, the server 10 first receives input information entered by the user on the input screen shown in Figure 4.

[0060] Next, in step S12, the evaluation axis creation unit 22 creates evaluation axes (qualitative evaluation axes and quantitative evaluation axes) using the input information acquired by the input reception unit 20.

[0061] Next, in step S14, the work schedule determination unit 24 determines the work schedule based on the input information, etc. (Figure 7).

[0062] Next, in step S16, the element technology selection unit 26 selects an element technology. In this case, the element technology selection unit 26 performs two types of processing: technology selection using a key-out method with qualitative evaluation axes (Figures 9 and 10), and technology comparison and selection processing using optimal values ​​with quantitative evaluation axes (Figure 11).

[0063] Next, in step S18, the cultivation system creation unit 28 creates a cultivation system using the processing results from the work schedule determination unit 24 and the element technology selection unit 26. At this time, multiple (e.g., 3) candidate cultivation systems are created for the quantitative evaluation axis "stable production", multiple (e.g., 3) candidate cultivation systems are created for the quantitative evaluation axis "labor saving", and multiple (e.g., 3) candidate cultivation systems are created for the quantitative evaluation axis "cost" (see Figure 13).

[0064] Next, in step S20, the calculation unit 30 performs a business calculation for the cultivation system created by the cultivation system creation unit 28 (for example, nine candidate cultivation systems) (see Figure 14).

[0065] Next, in step S22, the output unit 32 generates a screen (see Figure 15) that displays the cultivation system created by the cultivation system creation unit 28 and the results of the business simulation performed by the simulation unit 30, and outputs it to the user terminal 70.

[0066] Next, in step S24, the change reception unit 34 waits until change information is entered. When the user enters change information on the screen output by the output unit 32 (see Figure 16), the change reception unit 34 sends the change information to the input reception unit 20 and returns to step S10. From there, steps S10 to S22 are executed to update the screen and reflect the change information.

[0067] Note that the process shown in Figure 17 will terminate, for example, when the user closes the screen shown in Figure 15.

[0068] As described in detail above, according to this embodiment, the input reception unit 20 acquires user input information (information regarding cultivation conditions) (S10), and the evaluation axis creation unit 22 classifies the input information and information obtained from the input information into qualitative evaluation axes and quantitative evaluation axes (S12). The element technology selection unit 26 identifies element technologies suitable for the user based on the qualitative evaluation axes, and selects or evaluates (prioritizes) other element technologies based on the quantitative evaluation axes (S16). The output unit 32 then outputs a screen to the user terminal 70 displaying the cultivation system created by the cultivation system creation unit 28 based on the processing results of the element technology selection unit 26 (S22). As a result, in this embodiment, a cultivation system suitable for the user can be provided based on the user's input information. Furthermore, in this embodiment, since candidates for cultivation systems are provided to the user, even if the user is an inexperienced producer, it is possible to easily construct a cultivation system. At this time, the element technology selection unit 26 identifies and evaluates element technologies suitable for the user based on qualitative and quantitative evaluation axes, so it is possible to identify and evaluate element technologies suitable for the user in detail.

[0069] Furthermore, in this embodiment, the cultivation system creation unit 28 generates a cultivation system that includes the work schedule information determined by the work schedule determination unit 24 (S18), and the output unit 32 outputs the cultivation system that includes the work schedule information (S22). This allows the user to understand when and what kind of work should be performed.

[0070] Furthermore, in this embodiment, the calculation unit 30 performs cost and time calculations (business calculations) for each cultivation system created by the cultivation system creation unit 28 (S20), and the output unit 32 outputs the calculation results to the user terminal 70 (S22). This allows the user to refer to the results of the business calculations and decide which cultivation system to select.

[0071] Furthermore, in this embodiment, when the change reception unit 34 receives change information that modifies the information displayed on the output screen (S24: affirmative), steps S10 to S22 are executed again while taking the change information into consideration. This allows the user to check how the cultivation system and business estimates change according to the change information.

[0072] Furthermore, in this embodiment, the cultivation system creation unit 28 creates a cultivation system while taking into account information about the machinery and equipment owned by the user, so it can provide an appropriate cultivation system that suits the user (is feasible to implement).

[0073] It should be noted that some of the processes described in the above embodiment may be omitted. For example, the calculation unit 30 may choose not to perform the business calculation. In this case, the screen in Figure 15 will not display the business calculation, but will only display the candidate cultivation systems.

[0074] In the above embodiment, the case in which the server 10 has the functions of each part in Figure 5 has been described, but it is not limited to this. For example, the user terminal 70 may have the functions of each part in Figure 3. In this case, the user terminal 70 does not have to be connected to the network 80. Also, the user terminal 70 may acquire various data stored in the server 10 via the network 80 and execute the processing in Figure 17.

[0075] 《Second Embodiment》 The second embodiment will now be described in detail. The configuration of the agricultural support system 100 in this second embodiment is the same as in Figure 1, and the functional block diagram of the server 10 is shown in Figure 18. Figure 18 is almost the same as in Figure 3, but the processing when the change reception unit 34 receives a request for change (improvement request) regarding the output result of the output unit 32 is different. Specifically, if the improvement request is for the selection of an individual technology, the change reception unit 34 notifies the element technology selection unit 26, and if it is anything else (such as a change in the evaluation axis), it notifies the evaluation axis creation unit 22. Also, the processing content of the element technology selection unit 26 in Figure 18 differs from that of the first embodiment.

[0076] Figure 19 is a diagram illustrating the processing of the element technology selection unit 26 according to the second embodiment. As shown in Figure 19, the element technology selection unit 26 performs technology selection using a key-out method, similar to the first embodiment (Figure 8), but instead of the "technology comparison and selection process using optimal values" in Figure 8, it performs a "technology selection process using a mathematical model".

[0077] The technology selection process using mathematical models involves performing business simulations using mathematical models such as linear programming, which are used in agricultural management, and then making technology selections from a business perspective.

[0078] Specifically, the elemental technology selection unit 26 performs calculation processing and technology selection using the scenarios and detailed settings entered by the user as a business simulation, the elemental technologies selected by key-out, the technology evaluation table summarizing them, the quantitative evaluation axes, and the mathematical model read from the model DB 43 (see Figure 3), thereby executing the optimal technology selection. Note that "scenario" is defined as "policy and criteria for selecting elemental technologies."

[0079] The following describes an example of a process for selecting elemental technologies using linear programming as a mathematical model.

[0080] Figure 20 shows information on elemental technologies stored in the elemental technology DB 45. As an example, Figure 20 displays elemental technologies for drainage measures and planting work, and information such as working time, variable costs, fixed costs, and working period is managed for each. When a user enters, for example, an initial request such as "I want to expand the scale of production," the elemental technology selection unit 26 evaluates combinations of elemental technologies for each work category (plowing, sowing, planting, harvesting, etc.) using linear programming and derives the combination of elemental technologies (= cultivation system) that yields the highest agricultural income.

[0081] Figure 21 shows an example of an objective function and constraints for onion cultivation. The objective function in Figure 21 represents agricultural income, which is calculated by subtracting various expenses (agricultural management costs) from the product of sales (gross revenue) of 240,000 yen per 10 ares and the area where onions can be planted (x). The various expenses are the sum of the costs of the elemental technologies selected within each work category, and vary depending on which elemental technologies are chosen. Linear programming is used to perform calculations aimed at maximizing this agricultural income.

[0082] In the objective function shown in Figure 21, "240000x" represents gross revenue, "-2a1-2a2-37b1-37b2-44809b3" represents variable costs, and "-500000m1-51450m a1 -74286m a2 " is a fixed cost of 1, and "-667857m b1 -612857m b2 -714286m b3 This is fixed cost 2. Variable costs include seed and seedling costs, fertilizer costs, agricultural chemical costs, high-temperature power costs, other miscellaneous material costs, sales and administrative expenses, and packaging, packing and transportation costs. Fixed costs include agricultural machinery costs, building costs, vehicle costs, property taxes and other public charges.

[0083] Furthermore, as shown in Figure 21, the constraint equations include "plantable area constraint," "technology selection constraint," "labor constraint," and "farm equipment constraint," and elemental technologies are selected so as to stay within the range of these constraints (upper or lower limits). Some of the improvement requests selected by the user and the subsequent quantitative evaluation axes are reflected in these constraint conditions. The "plantable area constraint" is a constraint that sets the upper limit to the area of ​​farmland owned by the user. The "technology selection constraint" is a constraint concerning the selection of elemental technologies. For example, the "technology selection constraint" is a constraint that the area for drainage measures (a1+a2) and the planting area (b1+b2+b3) must be the same. The "labor constraint" is a constraint that sets the maximum available labor hours (input by the user) for each month (each ten-day period) for the cultivation schedule determined by the work schedule determination unit 24, and the "farm equipment constraint" is a constraint that generates fixed costs depending on the selection of elemental technologies.

[0084] The element technology selection unit 26 examines various combinations of element technologies using the above objective function and derives a solution (combination) that maximizes agricultural income under the constraints. This enables the cultivation system creation unit 28 to select element technologies and construct a cultivation system that considers not only technical aspects but also management aspects.

[0085] In this second embodiment, since the element technology selection unit 26 derives the combination of element technologies that maximizes agricultural income as described above, the cultivation system creation unit 28 uses this to create a cultivation system, and the calculation unit 30 performs a business calculation using the created cultivation system. Accordingly, the output unit 32 generates a screen as shown in Figure 22 as a display screen and outputs it to the user terminal 70.

[0086] The following describes an example of the display screen in detail. As shown in Figure 22, the display screen of this second embodiment includes the following fields: "Screen Display Status," "Basic Information of the Farm," "Cultivation Work Schedule," "Work Hours by Season," "Business Calculation Results," and "Request." Figure 22 shows, as an example, the display screen for spring onion transplanting cultivation in the Tohoku region. The following describes each field in detail.

[0087] (In the "Screen Display Status" section) In the "Screen Display Status" column, "Base" will be displayed if it is the first screen to be displayed (the screen corresponding to the initial request). Also, as will be explained later, when a user enters an improvement request and the screen corresponding to that improvement request is displayed, "Scenario X" (where X is a sequential number) will be displayed in the "Screen Display Status" column.

[0088] (In the "Basic Information on the Business Entity" section) The "Basic Information on the Business Entity" section displays information such as the name of the business entity, its attributes (e.g., cooperative corporation, limited liability company), business scale, number of employees, and certifications (e.g., GAP).

[0089] (In the "Cultivation Work Schedule" section) The "Cultivation Work Schedule" section displays information such as growth milestones (e.g., number of onion leaves), main tasks, accumulated temperature, management location, and pest and disease risks, categorized by time of year. Each item in the "Cultivation Work Schedule" section has a link, allowing users to select the link to view the details of each item on a separate screen. For example, suppose a user selects the "Transplanting" link in the "Main Tasks" section of the cultivation work schedule shown in Figure 22. In this case, a screen like the one shown in Figure 23 will pop up. On this screen in Figure 23, the user can check the selected elemental techniques for the transplanting work (fertilizer to be applied, planting method, machinery to be used, etc.).

[0090] (In the "Working Hours by Period" column) Returning to Figure 22, the "Working Hours by Season" column shows what tasks are performed at each time of year and how long they take. In the example in Figure 22, the "Working Hours by Season" column displays information such as the main tasks being seedling cultivation, transplanting, and harvesting, the cumulative time for these tasks for each season, labor constraints (upper limits on working hours per ten-day period based on the number of people in the farm), and the expected shipping period.

[0091] (In the "Business Projection Results" section) The "Management Projection Results" section displays screens such as "Summary of Results," "Technologies Used," "Breakdown of Variable Costs," "Breakdown of Fixed Costs," and "Management Analysis Indicators." In the example in Figure 22, users can switch between these screens using tabs.

[0092] The "Summary of Results" screen (tab), as shown in Figure 22, displays gross revenue and its general breakdown (variable costs, fixed costs, labor costs, etc.), as well as indicators for easily comparing multiple costs (the relative value of the scenario to the base cultivation system).

[0093] The "Technologies Used" screen (tab) displays the names of each task and machine, standard working hours, and working hours for each ten-day period, as shown in Figure 24(a).

[0094] The "Breakdown of Variable Costs" screen (tab), as shown in Figure 24(b), displays detailed information (item name, usage period, and amount) regarding seed and seedling costs, fertilizer costs, agricultural chemicals, other material costs, and utility costs.

[0095] The "Fixed Cost Breakdown" screen (tab) displays the names of the machines, acquisition costs, depreciation expenses, etc., required for the example technology system, as shown in Figure 25(a).

[0096] As shown in Figure 25(b), the "Management Analysis Indicators" screen (tab) displays profitability analysis indicators (such as "Operating Profit," "Operating Profit Margin on Sales," "Fixed Asset Turnover Ratio," "Agricultural Income," "Agricultural Income Rate," and "Agricultural Income per Hour of Full-Time Worker"), productivity indicators (such as "Value Added," "Value Added Rate," and "Value Added per Hour"), and the "Break-Even Point Size" for the base and scenario cultivation systems.

[0097] (In the "Requests" section) Returning to Figure 22, the "Request" section displays buttons (such as "Save," "Improve," and "Back") that the user can select after reviewing the information on the screen, as well as a link to "Improvement Points." If the user presses the "Save" button, the cultivation system combining the elemental technologies will be saved. Details about the "Improve" button and the "Improvement Points" link will be described later. If the user presses the "Back" button, they will return to the initial screen.

[0098] (Regarding improvement requests) Next, I will explain the improvement requests.

[0099] In the first embodiment, when a user entered change information, they would click on an individual element technology on an output screen showing element technologies as shown in Figure 16, and re-select that element technology. Furthermore, when performing a business simulation with the re-selected element technology, the labor hours and agricultural management costs for each element technology were totaled, and agricultural income was calculated from that total.

[0100] In this second embodiment, as in the first embodiment, the user can submit an improvement request to change individual elemental technologies. For example, when the user presses the "Improve" button in Figure 22, the change reception unit 34 displays the "Select Change Format" screen as shown in Figure 26(a). When the user presses the "Select Individual Technology" button on the screen in Figure 26(a), the change reception unit 34 displays the elemental technology output screen as shown in Figure 26(b). Then, when the user selects, for example, "Planting" (see the thick line frame in Figure 26(b)) on the screen in Figure 26(b), the change reception unit 34 displays the "Planting Operation" screen as shown in Figure 26(c). The user can individually change elemental technologies by changing any item on the screen in Figure 26(c). When an elemental technology is individually changed by the user, the change reception unit 34 notifies the elemental technology selection unit 26 of the changed information (see the thick dashed arrow in Figure 28). In this case, the modified elemental technologies are used to create the cultivation system and perform business simulations, and a new screen is displayed.

[0101] Furthermore, in this second embodiment, the user can also make technology selections based on a business simulation. In this case, the user first selects the "Improvement Points" link on the screen shown in Figure 22. When the user selects the "Improvement Points" link, the change reception unit 34 pops up a screen showing "Improvement Points (Constraining Factors)" as shown in Figure 27(a). On the screen shown in Figure 27(a), the change reception unit 34 displays a list of items (constraining factors) that are bottlenecks when improving the profitability of the cultivation system as improvement points. By looking at the screen shown in Figure 27(a), the user can confirm the factors that are constraining profit improvement.

[0102] Subsequently, when the user presses the "Improve" button in Figure 22, the screen shown in Figure 26(a) is displayed, and the user presses the "Business Simulation" button. In this case, the change reception unit 34 displays the "Scenario Selection" screen as shown in Figure 27(b).

[0103] In the "Scenario Selection" screen shown in Figure 27(b), users can select scenarios such as "Expanding Area / Scale," "Reducing Working Hours," "Reducing Costs," "Expanding Employment," "Securing Stable Production / Yield," and "Reducing Environmental Impact." Once a user selects a scenario, the change reception unit 34 displays detailed condition setting screens as shown in Figures 27(c) and 27(d). For example, in the screen shown in Figure 27(c), the user sets basic management information such as "Number of Workers Available for Each Period (Number of Workers Available for Each Period, Divided into Core Workers and Temporary Workers)," "Working Hours," "Employment Wages," and "Cultivated Area." In the screen shown in Figure 27(d), the user sets management conditions such as "Shipping Volume for Each Shipping Period," and "Necessity and Reduction Targets for Material Costs, Fixed Costs, Working Hours, etc." Note that if detailed condition setting using these screens in Figures 27(c) and 27(d) is not necessary, it can be skipped. When a user makes a technology selection based on a business simulation as described above, the change reception unit 34 notifies the evaluation axis creation unit 22 of the selected content (see the thick solid arrow in Figure 28).

[0104] As shown by the thick solid arrows in Figure 28, when the user performs "technology selection through business simulation," the evaluation axis creation unit 22 adds qualitative and quantitative evaluation axes. The element technology selection unit 26 uses the qualitative evaluation axes for "technology selection by key-out (narrowing down element technologies)" and the quantitative evaluation axes for "technology selection using mathematical models." The element technology selection unit 26 performs the technology selection process using mathematical models in the same way as in the "base" case described above. The cultivation system creation unit 28 and the calculation unit 30 then perform "business calculation and summary" to calculate costs and labor hours, and the output unit 32 outputs a screen ("scenario" screen) showing the contents. Depending on the scenario selection and the settings of detailed conditions, the work schedule determination unit 24 may "change the work schedule" based on the "qualitative evaluation axes" or "quantitative evaluation axes." In this case, the element technology selection unit 26 uses the work schedule modified by the work schedule determination unit 24 to perform technology selection by key-out or technology selection using a mathematical model.

[0105] Figure 29 shows an example of the display screen for the revised "Scenario 1." "Scenario 1" in the upper left of Figure 29 refers to the scenario corresponding to the first improvement request. As can be seen by comparing it with the "Base" display screen in Figure 22, the content has been changed in the "Cultivation Work Schedule," "Work Hours by Season," and "Business Calculation Results" sections in Figure 29.

[0106] For example, in the "Summary of Results" screen (tab) under the "Management Projection Results" section, a bar graph of gross revenue and a table showing its breakdown are displayed in a way that allows for comparison between the base scenario and Scenario 1. Furthermore, for cost comparison indicators, the system displays whether the major cost items in Scenario 1 are higher or lower than the base scenario, making comparison easy.

[0107] The items displayed on the "Technology Used," "Variable Cost Breakdown," and "Fixed Cost Breakdown" screens (tabs) are basically the same as those in Figures 24(a), 24(b), and 25(a), as shown in Figures 30(a), 30(b), and 31(a), but the displayed content changes according to the scenario.

[0108] Furthermore, on the "Management Analysis Indicators" screen (tab), as shown in Figure 31(b), the values ​​of various management analysis indicators are displayed for both Base and Scenario 1. In addition, if the values ​​for Scenario 1 are higher than those for Base, "Improvement" is indicated in the "Comparison" column, and if they are lower, "Deterioration" is indicated, making it easy to see what has changed and how as a result of changing the scenario.

[0109] As explained in detail above, according to this second embodiment, the element technology selection unit 26 selects technologies not only from a technical perspective through key-out, but also from a managerial perspective through management simulation using mathematical models. This makes it possible to select technologies from two perspectives: cultivation technology and management, and to present a more feasible cultivation system. For example, in the case of transplanting machines, small-scale farmers tend to prefer machines that are inexpensive and can be used for general purposes, while large-scale farmers prioritize large machines with high working speeds. Thus, the importance of each selection criterion for transplanting machines changes as the cultivation area expands. When the importance is continuous and the distinctions are unclear in this way, the technology selection in the first embodiment, which relies solely on key-out and numerical information (including indicators) of individual technologies, may not be sufficient, and it may not be possible to select the optimal element technology depending on the scale of the business. In contrast, in this second embodiment, element technologies are selected from both a technical and a managerial perspective, making it possible to propose an optimal cultivation system for a wide range of conditions.

[0110] Furthermore, in this second embodiment, when a user makes an improvement request, the output unit 32 displays the results of the business simulation based on the base (original scenario) and the results of the business simulation based on the modified scenario in a comparable manner, and clearly indicates which is better. This makes it easier for the user to determine what kind of agricultural management is appropriate. In addition, since the user can make an improvement request by selecting a scenario, it is easier to make an improvement request compared to changing each individual element technology.

[0111] The above processing functions can be implemented by a computer. In this case, a program describing the processing content of the functions that the processing unit should have is provided. By executing this program on a computer, the above processing functions are implemented on the computer. The program describing the processing content can be recorded on a storage medium that can be read by a computer (except for carrier waves).

[0112] When distributing a program, it may be sold in the form of a portable storage medium such as a DVD (Digital Versatile Disc) or CD-ROM (Compact Disc Read Only Memory) on which the program is recorded. Alternatively, the program can be stored in the storage device of a server computer and transferred from the server computer to other computers via a network.

[0113] A computer executing a program stores programs, for example, those recorded on a portable storage medium or transferred from a server computer, in its own memory. The computer then reads the program from its memory and executes the processing according to the program. Alternatively, the computer can directly read the program from the portable storage medium and execute the processing according to that program. Furthermore, the computer can sequentially execute the processing according to the programs received as they are transferred from the server computer.

[0114] The embodiments described above are preferred examples of the present invention. Other embodiments include using evaluation axes such as "sustainability," "reduction of environmental impact," "energy saving," and "GAP certification" to support the development of cultivation plans aligned with "SDGs" and the "Green Food System Strategy," or selecting "production efficiency" to support the development of cultivation plans that achieve high productivity per unit area and labor. However, the invention is not limited to these, and various modifications can be made without departing from the spirit of the invention. [Explanation of symbols]

[0115] 10 servers 20 Input Reception Section 22 Evaluation Axis Creation Section 24. Work Schedule Determination Department 26. Element Technology Selection Section 28. Cultivation System Development Department 30 Estimation Department 32 Output section 34 Change Request Department 90 CPU (Computer) 100 Agricultural Support Systems

Claims

1. The acquisition process involves obtaining information about cultivation conditions entered by users who cultivate crops, and A secondary information acquisition step involves acquiring, as secondary information, information corresponding to the acquired information on cultivation conditions, and / or information obtained from a combination of multiple pieces of information from the corresponding information and the acquired information on cultivation conditions, among the information stored in the database. A classification step that classifies the acquired information on cultivation conditions and the secondary information obtained from the information on cultivation conditions into quantitative information that can be expressed numerically regarding cultivation results, labor required for cultivation, and costs, and qualitative information other than the quantitative information. A processing step in which, using a first element technology evaluation table that links qualitative information to each of the first element technology options, which includes information on crop varieties and specifications, the first element technology options to which the qualitative information classified in the classification step is linked are identified as element technologies suitable for the cultivation, and a second element technology evaluation table that stores information on each of the second element technology options different from the first element technologies, and quantitative information classified in the classification step, selects an element technology suitable for the cultivation from among the second element technology options included in the second element technology evaluation table, or evaluates whether each of the second element technology options included in the second element technology evaluation table is suitable for the cultivation. An output step that outputs information indicating the first elemental technology option identified as an elemental technology suitable for the aforementioned cultivation, and the second elemental technology option selected or evaluated, An agricultural support program characterized by having a computer execute it.

2. The agricultural support program according to claim 1, characterized in that, in the processing step, among the options for the first elemental technology in the first elemental technology evaluation table, the option for the first elemental technology to which all of the qualitative information classified in the classification step is linked is identified as an elemental technology suitable for the cultivation.

3. The computer is further instructed to perform a schedule generation process that generates work schedule information related to cultivation from the information regarding the cultivation conditions. The agricultural support program according to claim 1 or 2, characterized in that the output step further outputs the work schedule information.

4. The agricultural support program according to claim 3, characterized in that, in the work schedule generation step, the work schedule information is generated using a portion of the cultivation condition information entered by the user, the classified qualitative information, and a model that can be used to create a schedule including a crop growth model.

5. In the processing step, based on the identified elemental technology suitable for cultivation and the evaluation results of the second elemental technology, at least one of the cost and time related to the cultivation is estimated. In the output step, information showing the results of the calculation is further output. An agricultural support program according to any one of the features 1 to 4.

6. When change information that modifies the information output in the above output process is input, The agricultural support program according to any one of claims 1 to 5, characterized in that the processing step is executed again taking into account the change information.

7. The agricultural support program according to any one of claims 1 to 6, characterized in that the processing step takes into account information on available machinery and equipment.

8. The agricultural support program according to any one of claims 1 to 7, characterized in that, when selecting or evaluating the options using the second technical evaluation table in the processing step, a management simulation using a mathematical model is performed.

9. When a request for a change in the policy and criteria for selecting or evaluating the options using the second technical evaluation form is entered, The agricultural support program according to claim 8, characterized in that the selection or evaluation of the options using the second technical evaluation table is performed again taking into consideration the change request.

10. The agricultural support program according to claim 9, characterized in that the output step outputs the selection result or evaluation result of the options using the second technical evaluation table before the change request is input, and the selection result or evaluation result of the options using the second technical evaluation table after the change request is input, in a state that allows for comparison.

11. The acquisition process involves obtaining information about cultivation conditions entered by users who cultivate crops, and A secondary information acquisition step involves acquiring, as secondary information, information corresponding to the acquired information on cultivation conditions, and / or information obtained from a combination of multiple pieces of information from the corresponding information and the acquired information on cultivation conditions, among the information stored in the database. A classification step that classifies the acquired information on cultivation conditions and the secondary information obtained from the information on cultivation conditions into quantitative information that can be expressed numerically regarding cultivation results, labor required for cultivation, and costs, and qualitative information other than the quantitative information. A processing step in which, using a first element technology evaluation table that links qualitative information to each of the first element technology options, which includes information on crop varieties and specifications, the first element technology options to which the qualitative information classified in the classification step is linked are identified as element technologies suitable for the cultivation, and a second element technology evaluation table that stores information on each of the second element technology options different from the first element technologies, and quantitative information classified in the classification step, selects an element technology suitable for the cultivation from among the second element technology options included in the second element technology evaluation table, or evaluates whether each of the second element technology options included in the second element technology evaluation table is suitable for the cultivation. An output step that outputs information indicating the first elemental technology option identified as an elemental technology suitable for the aforementioned cultivation, and the second elemental technology option selected or evaluated, An agricultural support method characterized by having a computer perform the following actions.

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