JP2023152761A - Information processing device, information processing system, information processing program and management planning method - Google Patents

Abstract

To provide a technology capable of suitably proposing and supporting the expansion of a management scale by an agricultural management entity.SOLUTION: An information processing device 2 includes a reception part (231) for receiving regional information related to a region in which an agricultural management entity exists, and a simulation period, an acquisition part (233) for acquiring a standard management model and standard management index, a generation part (234) for generating a production plan related to the agricultural management entity with reference to the regional information, the simulation period, the standard management model and the standard management index, a second acquisition part (235) for acquiring a prediction result related to a change in a farm land due to a change in the number of agricultural management entities in the region, the change in the farm land utilizable by the agricultural management entity, and a processing part (236) for executing processing obtained by referring to the prediction result.SELECTED DRAWING: Figure 2

Description

The present invention relates to an information processing device, an information processing system, an information processing program, and a business planning method.

Conventionally, various techniques have been proposed to support the formulation of production plans by agricultural management entities. For example, Patent Document 1 describes simulating the selection of crops and cropping types, increase and decrease in planted area, etc. on farmland operated by an agricultural management entity. Furthermore, Patent Document 1 also describes using agricultural work model data and agricultural expense data to adjust cash flow and aggregate agricultural machinery among a plurality of agricultural management entities within a region. Additionally, Non-Patent Document 1 describes calculating a plan that can maximize income under set conditions (farmland area, working hours, gross revenue of each crop, variable costs, working hours, etc.) has been done. Furthermore, Non-Patent Document 1 also describes formulating a plan that takes into consideration expansion of business scale, introduction of employment, introduction of new crops, etc. Further, Non-Patent Document 2 describes the consideration of new farming plans, analysis of management results, consideration of management improvement plans, formulation of improvement plans, etc.

Patent No. 5479770

JA Zen-Noh/Agricultural Research Organization, Farm Management Plan Formulation Support System Z-BFM Explanation Manual 3rd Edition, January 2013 Koichi Matsumoto et al., Development of "CAPSS", a system that supports the formulation of improvement plans from management diagnosis for new farmers, Kanto Tokai Agricultural Management Research, No. 105, Kanto Toyama Tokai Agricultural Management Research Group, February 2015.

By the way, when considering expanding the scale of business, it is also necessary to consider expanding farmland. However, simulations related to business scale expansion performed by the conventional technology described above only take into consideration work efficiency and the number of workers. For this reason, with the conventional technology, it is difficult to predict when and how much new farmland can be secured. For this reason, even if a management plan was formulated that took farmland expansion into consideration, there were cases in which less farmland was acquired than the target, or the timing of acquisition was delayed. If farmland cannot be expanded as planned, it will not be possible to produce the planned amount of crops, which will affect income. In particular, large-scale farming requires agricultural machinery and facilities. For this reason, many large-scale agricultural management entities often make upfront investments in acquiring agricultural machinery and facilities. If such agricultural management entities are unable to expand their farmland as planned, they may not be able to recover their investment due to the inability to increase the utilization rate of agricultural machinery and equipment.

One aspect of the present invention aims to provide a technology that can suitably propose and support expansion of the scale of management by agricultural management entities.

The inventor has found that by focusing on changes (decrease) in the number of agricultural management entities, it becomes possible to relatively accurately predict the area of farmland that can be acquired in the future and the timing of acquisition. The present invention utilizes this knowledge.

An information processing device according to one aspect of the present invention includes a reception unit that receives regional information regarding a region where a target agricultural management entity exists and a simulation period, and an acquisition unit that acquires a standard management model and standard management index for each agricultural type. a generation unit that generates a production plan for the target agricultural management entity by referring to the regional information, the simulation period, the standard management model, and the standard management index; a second acquisition unit that acquires prediction results regarding changes in farmland due to changes in farmland that can be utilized by the target agricultural management entity; and a processing unit that executes processing with reference to the prediction results. We are prepared.

An information processing system according to another aspect of the present invention includes a reception unit that receives regional information regarding a region where a target agricultural management entity exists and a simulation period, and acquires a standard management model and standard management index for each agricultural type. an acquisition unit; a generation unit that generates a production plan for the target agricultural management entity by referring to the regional information, the simulation period, the standard management model, and the standard management index; and the number of agricultural management entities in the region. and a prediction unit that predicts changes in farmland that can be utilized by the target agricultural management entity, which are changes in farmland due to changes in farmland.

A management planning method according to another aspect of the present invention includes a step in which an information processing device receives regional information regarding a region where a target agricultural management entity exists and a simulation period; a step of acquiring a standard management model and a standard management index; the information processing device refers to the regional information, the simulation period, the standard management model and the standard management index, and determines the production of the target agricultural management entity; a step of generating a plan; and the information processing device obtains prediction results regarding changes in farmland that are available to the target agricultural management entity, which are changes in farmland due to changes in the number of agricultural management entities in the region. and a step in which the information processing device executes processing with reference to the prediction result.

Each aspect of the present invention may be realized by a computer, and in this case, by operating the computer as each section (software element) included in the information processing device or the information processing system, the information processing device or the information processing system A program for realizing the above on a computer, and a computer-readable recording medium on which the program is recorded also fall within the scope of the present invention.

According to one aspect of the present invention, expansion of the scale of management by an agricultural management entity can be suitably proposed and supported.

1 is a block diagram showing a schematic configuration of an information processing system according to an embodiment of one aspect of the present invention. FIG. 2 is a block diagram showing the functional configuration of a server included in the system. It is a diagram showing an example of information stored by the same server. It is a graph showing prediction results regarding changes in farmland predicted by the same server. FIG. 2 is a block diagram showing the functional configuration of a second server included in the system. FIG. 2 is a block diagram showing the functional configuration of an information processing device included in the system. FIG. 3 is a diagram showing an example of a screen displayed by a terminal communicating with the system. FIG. 3 is a diagram showing an example of a screen displayed by the terminal. FIG. 3 is a diagram showing an example of a screen displayed by the terminal. FIG. 3 is a diagram showing an example of a screen displayed by the terminal. FIG. 3 is a diagram showing an example of a screen displayed by the terminal. FIG. 3 is a diagram showing an example of a screen displayed by the terminal. FIG. 3 is a diagram showing an example of a screen displayed by the terminal. FIG. 3 is a diagram showing an example of a screen displayed by the terminal. FIG. 3 is a diagram showing an example of presentation content presented by a presentation unit included in the system. It is a figure which shows the other example of the presentation content which the presentation part with which the system is equipped presents. It is a figure which shows the other example of the presentation content which the presentation part with which the system is equipped presents. It is a flowchart which shows the flow of the business planning method based on embodiment of another aspect of this invention.

First, an embodiment of one aspect (information processing system) of the present invention will be described.

The information processing system 100 includes a server 1, an information processing device 2, and a second server 3, as shown in FIG. These are connected to each other via a communication network N. Further, the information processing system 100 is connected to at least one terminal T via a communication network N.

[Terminal]
The terminal T with which the information processing system 100 communicates is composed of a PC, a mobile phone, a tablet terminal, or the like. The terminal T has an operation section Ta and a presentation section Tb. The operation unit includes a keyboard, pointing device, touch panel, etc. that are operated by the user. The presentation unit Tb includes a display device (liquid crystal panel, etc.), a speaker, a printer, and the like. Furthermore, the terminal T according to this embodiment has an Internet browser installed therein. Note that the terminal T may have a dedicated information viewing application installed therein.

[server]
As shown in FIG. 2, the server 1 includes a server-side communication section 11, a server-side storage section 12 (storage section), and a server-side control section 13.

[Server side communication department]
The server-side communication unit 11 communicates with the information processing device 2 by wire or wirelessly. The server-side communication unit 11 according to this embodiment is composed of a communication module.

[Server side storage unit]
The server-side storage unit 12 according to this embodiment includes a semiconductor memory, a hard disk, and the like. The server-side storage unit 12 stores a program 121 for operating the server-side control unit 13, a learned model 122, and an agricultural management entity database 123.

The trained model 122 is constructed by machine learning using a set of information regarding an agricultural management entity and the farming status of the agricultural management entity (continuing farming or leaving farming) as training data.
Information regarding agricultural management entities is not particularly limited as long as it affects the continuation of farming operations. Information regarding agricultural management entities, such as the age of the owner of the agricultural management entity, the area of cultivated land managed by the agricultural management entity, the sales amount of agricultural products obtained from the cultivated land, and the presence or absence of successors, may affect the continuation of farming operations. Contains information. When the learned model 122 receives information regarding a new agricultural management entity, it outputs the farming continuation probability of that agricultural management entity. Note that a neural network including an input layer, one or more intermediate layers, and an output layer can be used as the trained model 122, but this does not limit the present embodiment. For example, algorithms such as a decision tree, support vector machine, linear or nonlinear regression, etc. may be used as the trained model 122, or a combination of these may be used.

The agricultural management entity database 123 stores, for each agricultural management entity, multiple sets of information regarding the area where the agricultural management entity exists (hereinafter referred to as regional information), the area of cultivated land under management of the agricultural management entity, and the probability of continuing farming of the agricultural management entity. are doing. Furthermore, the agricultural management entity database 123 is capable of outputting the farming continuation probability of at least one agricultural management entity for each region, as shown in FIG. In addition, instead of the above, the server side storage unit 12 accumulates the predicted number of surviving agricultural management entities in each region where agricultural management entities exist and the area of farmland that will be supplied due to abandonment of farming in the region. It is also possible to leave it there.

[Server side control unit]
As shown in FIG. 2, the server-side control unit 13 includes a server-side acquisition unit 131, a request unit 132, a server-side second acquisition unit 133, a sending unit 134, and a prediction unit 135. .

(server side acquisition part)
The server-side acquisition unit 131 acquires a management model selection result (details will be described later) from the information processing device 2 . Further, the server-side acquisition unit 131 acquires the selection results of management indicators (details will be described later) from the information processing device 2. Additionally, the server-side acquisition unit 131 acquires regional information and the simulation period from the information processing device 2 . The area information is information that specifies a target area predicted by a prediction unit, which will be described later. The simulation period is information that specifies the period for which the prediction unit predicts. The server-side acquisition unit 131 according to the present embodiment acquires various information by controlling the server-side communication unit 11 to receive various information.

(request part)
The requesting unit 132 requests the API (Application Programming Interface) of the second program stored in the second server 3 for a standard management model of the agricultural type corresponding to the selection result of the management model acquired by the server-side acquisition unit 131. Further, the requesting unit 132 requests the API of the second program stored in the second server 3 for the standard management index of the agricultural type corresponding to the selection result of the management index acquired by the server-side acquisition unit 131. The request unit 132 according to this embodiment makes a request by controlling the server-side communication unit 11 to transmit the request contents.

(Second acquisition section on server side)
The server-side second acquisition unit 133 acquires the standard management model of the requested agricultural form from the second server 3. Further, the server-side second acquisition unit 133 acquires the standard management index of the requested agricultural form from the second server 3. The server-side second acquisition unit 133 according to the present embodiment acquires the standard management model and the standard management index by controlling the server-side communication unit 11 to receive the standard management model and the standard management index.

(Sending Department)
The sending unit 134 sends the standard management model and standard management index acquired by the server-side second acquisition unit 133 to the information processing device 2. The sending unit 134 according to the present embodiment sends the acquired standard management model and standard management index by controlling the second server-side communication unit 31 to send them.

(Prediction Department)
The prediction unit 135 predicts changes in farmland (area) that can be utilized by the agricultural management entity to be simulated. Changes in farmland are accompanied by changes in the number of agricultural management entities in the region. The prediction unit 135 according to the present embodiment first acquires, from the agricultural management entity database 123, the cultivated land area and farming continuation probability of a plurality of agricultural management entities in the area corresponding to the regional information acquired by the server side acquisition unit 131. do. Next, the prediction unit 135 calculates the number of surviving agricultural management entities in the area, as shown in FIG. Calculated within the period. Then, the prediction unit 135 calculates the area of farmland that will be supplied due to abandonment of farming in the region at predetermined intervals (for example, 5 years) based on the calculated number of surviving agricultural management entities and the area of cultivated land under management of each agricultural management entity. Calculated within a range that does not exceed the obtained simulation period. The area of each farmland calculated every predetermined number of years becomes the change in the farmland.

[Server and others]
Note that the server 1 does not need to store the trained model 122 (the agricultural management database 123 may be constructed using another device). Further, the server 1 does not need to store the agricultural management entity database 123. In that case, the server 1 may be configured to acquire information on the agricultural management database 123 from another device via the server-side communication unit 11.

[Second server]
As shown in FIG. 5, the second server 3 includes a second server side communication section 31, a second server side storage section 32, and a second server side control section 33.

[Second server side communication department]
The second server-side communication unit 31 communicates with the server 1 by wire or wirelessly. The second server-side communication unit 31 according to this embodiment is composed of a communication module.

[Second server side storage unit]
The second server-side storage unit 32 is composed of a semiconductor memory, a hard disk, and the like. The second server side storage unit 32 stores a second program 321, a standard management model database 322, and a standard management index database 323.

The second program 321 is implemented with an API for providing a standard management model and an API for providing standard management indicators. That is, the second server 3 according to this embodiment is in API cooperation with the server 1 described above. This simplifies the functions of the server 1 regarding the acquisition of the standard management model and standard management indicators. As a result, the server 1 can be manufactured at low cost.

The standard management model database 322 is a collection of a plurality of standard management models for each type of agriculture. That is, the server-side storage unit 12 stores standard management models for each type of agriculture. The standard management model includes agricultural land conditions and labor force conditions. The standard management model according to this embodiment further includes investment information. Agricultural land conditions are conditions related to the area where the target agricultural management entity exists. The farmland conditions according to this embodiment include homestead farmland conditions and tenant farmland conditions. Homegrown farmland conditions include the area of rice paddies, the area of fields, the area of orchards, and the area of facilities. Tenant farmland conditions include the rent per unit area of paddy fields, the rent per unit area of fields, the rent per unit area of orchard land, and the usage fee per unit area of facilities. Labor force conditions are conditions related to the target agricultural management entity. The workforce conditions according to this embodiment include permanent workforce conditions and temporary workforce conditions. Permanent labor force conditions include the number of workers, number of working days, working hours, and labor costs. Temporary workforce conditions include hourly wages for temporary workers. The investment information is information regarding investments by the target agricultural management entity. The investment information according to this embodiment includes annual facility costs, annual machine costs, annual selling and administrative costs, interest expenses, and other fixed costs.

The standard management index database 323 is a collection of a plurality of standard management indexes for each agricultural type. That is, the server-side storage unit 12 stores standard management indicators for each type of agriculture. Standard management indicators are management indicators classified according to differences in applicable region, management entity size, crop name, and production conditions. Production conditions are classified into regional conditions, machinery used, and working techniques. Regional conditions further include the climate of the adapted region (cold region/cold region/warm region/warm region), topography of the adapted region (plain land/hilly and mountainous region), expected size, field division (small and medium-sized plots/large plots), crops, and sales. It is classified into methods (wholesale-to-peer sales), etc. The machines used are further divided into the type of tractor (conventional/steering assist), the size of the tractor (small/medium/large), the type of rice transplanter (conventional/straight assist/automatic steering), and the number of rows of the rice transplanter (6-row planting/ (8-row planting/10-row planting), presence or absence of simultaneous fertilization, seed machine (not used/general-purpose machine/grain drill/rice transplanter), combine harvester type (yield/yield measurement/automatic operation), number of combine harvester rows (5 rows) It is classified into 6-row cutting, 7-row cutting, general-purpose), etc. The work techniques further include seedling raising (no work/young seedlings/medium seedlings/adult seedlings), tillage (conventional/steering support/cooperation), puddling and land leveling (conventional/steering support/cooperation), and basal fertilization (conventional/simultaneous work/ (walking spraying/riding spraying), seeding/transplanting (conventional/simultaneous fertilization/steering support), topdressing (no work/outsourcing/manual spraying/powered spraying/drone spraying), weeding (no work/outsourcing/mechanical weeding/ Manual spraying/power spraying/radio helicopter spraying/drone spraying), ridge management (no work/work outsourcing/manual mowing/herbicide spraying/radio-controlled mower), water management (work outsourcing/practice/remote water level management/automatic water level management) ), pest control (no work/contracted work/manual spraying/powered spraying/radio helicopter spraying/drone spraying), and harvesting (contracted work/conventional/automatic steering), etc.

Further, the standard management indicators include information on income, expenses, working hours, and working timing. The standard management index according to this embodiment also includes information regarding smart technology. Income information includes unit yield, unit sales price, and other income. The cost information includes seed costs, fertilizer costs, agricultural chemical costs, utility costs, materials costs, land improvement/water usage costs, rental fees/fees, public dues, and sales costs. Information on working hours includes seedling raising time, plowing time, plowing/land leveling time, base fertilizer time, sowing/transplanting time, topdressing time, weeding time, ridge management time, water management time, Includes pest control time and harvest time. Information on work periods includes the start/end time of seedling raising, the start/end time of plowing, the start/end time of puddling/land leveling, the start/end time of basal fertilizer, and the start/end time of sowing/transplanting. , the start/end time of top dressing, the start/end time of weeding, the start/end time of ridge management, the start/end time of water management, the start/end time of pest control, and the start/end time of harvest. Including the end season.

The plurality of standard management indicators according to this embodiment are generated by the indicator generation device 4. The index generation device 4 stores a business improvement prediction value estimation model (not shown). This management improvement prediction value estimation model is a log-linear model constructed using regularization parameters for smart agriculture empirical data accumulated in the past. The management improvement prediction value estimation model can generate standard management indicators corresponding to any combination of production conditions. The standard management index database 323 according to this embodiment stores standard management indexes whose number of patterns is multiplied by the number of options for each production condition.

Previously, the number of standard management index patterns was limited, so if a standard management index corresponding to the accepted production conditions was not stored, a standard management index corresponding to similar production conditions was selected to calculate the value. There was only one. However, as described above, the standard management index database 323 according to the present embodiment stores standard management indexes in a number of patterns obtained by multiplying all the numbers of options for each production condition. Therefore, the generation unit 234 can calculate a more accurate predicted value for business improvement by referring to the standard business index that completely corresponds to the combination of production conditions received by the reception unit 231. Therefore, the user can easily make business decisions regarding changes in production conditions (in particular, whether or not to introduce smart agriculture).

Furthermore, the index generation device 4 is configured to be able to reconstruct the business improvement prediction value estimation model. Therefore, as more empirical data on smart agriculture is accumulated, it will be possible to reconstruct a model for estimating management improvement predictions with higher accuracy than ever before based on more empirical data. If the management improvement prediction value estimation model is reconstructed, it is also possible to generate standard management indicators with higher accuracy. Note that any of the devices 1 to 3 making up the information processing system 100 may also serve as the index generation device 4. Further, the number of standard management index patterns stored in the standard management index database 323 may be less than the number of patterns multiplied by the number of options for each production condition, as long as it exceeds the conventional number of patterns.

[Second server side control unit]
The second server-side control unit 33 includes a second server-side acquisition unit 331 and a selection unit 332.

(Second server side acquisition section)
The second server-side acquisition unit 331 acquires a standard management model request from the server 1. Further, the second server-side acquisition unit 331 acquires a request for standard management indicators from the server 1. The second server-side acquisition unit according to the present embodiment acquires the request by controlling the second server-side communication unit 31 to receive the request.

(selection part)
The selection unit 332 selects the standard management model of the agricultural form corresponding to the request acquired by the second server-side acquisition unit 331 from among the plurality of standard management models stored in the standard management model database 322. Further, the selection unit 332 selects the standard management index of the agricultural type corresponding to the request acquired by the second server-side acquisition unit 331 from among the plurality of standard management indicators stored in the standard management index database 323. Then, the selection unit 332 sends the selected standard management model and standard management index to the server 1. The selection unit 332 according to the present embodiment sends the selected standard management model and standard management index by controlling the second server-side communication unit 31 to transmit the selected standard management model and standard management index.

[Information processing device]
As shown in FIG. 6, the information processing device 2 includes a device-side communication section 21, a device-side storage section 22, and a device-side control section 23.

[Device side communication department]
The device-side communication unit 21 communicates with the server 1 by wire or wirelessly. The device side communication unit 21 also communicates with the terminal T by wire or wirelessly. The device-side communication unit 21 according to this embodiment is composed of a communication module.

[Device side storage unit]
The device-side storage unit 22 according to this embodiment includes a semiconductor memory, a hard disk, and the like. The device-side storage unit 22 stores an information processing program 221.

[Device side control unit]
The device-side control section 23 includes a reception section 231 , a transmission control section 232 , an acquisition section 233 , a generation section 234 , a second acquisition section 235 , and a processing section 236 .

(Reception Department)
The reception unit 231 receives regional information and a simulation period. Further, the reception unit 231 receives at least one piece of regional information. Regional information is information indicating the region where the agricultural management entity exists. The area may be an area including farmland where the user is farming, or may be an area where the user is planning to start farming. Regions are, for example, former municipalities before merger, elementary school districts, etc. as units. This regional information and simulation period are used by the server to predict changes in farmland. The reception unit 231 according to this embodiment further acquires investment information.

The reception unit 231 according to the present embodiment generates data for the web page of the setting screen _S1 and transmits it to the terminal T. Then, the terminal T displays the setting screen _S1 on the presentation section Tb. The setting screen _S1 has a management condition setting area _R1 and a management index setting area _R2 , as shown in FIG. 7, for example.

When a predetermined operation (for example, touching or clicking the model acquisition button B ₁ on the setting screen S ₁ ) is performed on the operation unit Ta of the terminal T, the reception unit ₂₃₁ according to the embodiment Generate page data and send it to terminal T. Then, the terminal T displays a condition selection screen _S2 on the presentation section Tb. In the condition selection screen _S2 , as shown in Figure 8, the main crops (paddy rice, etc.), the climate of the adapted region (cold region/cold region/warm region/warm region), and the topography of the adapted region (flatland/mountainous region) are selected. ), management type (company/individual management), and management scale (15ha/30ha/50ha/80ha/100ha). Thereafter, when the user operates the terminal T to select various conditions on the condition selection screen _S2 , the reception unit 231 acquires the selection results via the device-side communication unit 21. The obtained selection results become metadata for searching for the target standard management model.

Note that the condition selection screen _S2 may allow selection of vegetables, fruit trees, etc. in addition to paddy rice as the main crop. Further, the condition selection screen _S2 may be such that it is possible to select not only the topography of the applicable area but also the region of the applicable area (Hokkaido/Tohoku/Kanto/Hokuriku, etc.). Further, the condition selection screen _S2 may allow selection of a company, individual management, or community farming as the management type. Further, the condition selection screen _S2 may allow the business scale to be selected in more detail (for example, in 10 hectare increments) than the above.

Furthermore, when a predetermined operation (for example, touching or clicking the index selection button B ₂ on the setting screen S ₁ ) is performed on the operation unit Ta of the terminal T, the reception unit 231 according to the present embodiment displays the index selection screen S ₃ . generates web page data and sends it to terminal T. Then, the terminal T displays an index selection screen _S3 on the presentation section Tb. On the indicator selection screen _S3 , as shown in Figure 9, the climate of the adapted region, the topography of the adapted region, the scale of management, the field division (small and medium plots/large plots), and the main crops (staple food rice/feed rice/ ), yield (low/average/high), cultivation method (direct sowing/transplanting), and smart technology (use/not use). Thereafter, when the user operates the terminal T to select various conditions on the index selection screen _S3 , the reception unit 231 acquires the selection results via the device-side communication unit 21. The obtained selection results serve as metadata for searching for target standard management indicators.
Note that the reception unit 231 may be configured to generate the index selection screen _S3 that does not include items that overlap with the business conditions described above.

In addition, the index selection screen _S3 allows you to select other field conditions of the field section (for example, field type (paddy field/field), irrigation conditions, drainage conditions, slope, grouping of fields (compounded/individually distributed), etc. It may be possible to select it. Further, the index selection screen _S3 may allow selection of vegetables, fruit trees, etc. in addition to rice as the main crop. Further, the index selection screen _S3 may be configured to allow entry of data by variety of the selected major crop. In addition, the index selection screen _S3 may be such that it is possible to select not only the amount of yield but also the quality, product standard, etc. as the yield property. Further, the indicator selection screen _S3 may allow selection of cultivation methods such as direct sowing, transplantation, cropping type (early/middle/late), organic cultivation, etc.

When "using" the smart technology is selected on the index selection screen _S3 , the reception unit 231 generates web page data on the smart technology selection screen _S4 and transmits it to the terminal T. Then, the terminal T displays a smart technology selection screen _S4 on the presentation section Tb. On the smart technology selection screen _S4 , as shown in Figure 10, the tractor type (conventional/robot tractor), tractor horsepower (small/medium/large), rice transplanter type (conventional/automatic steering), rice transplanter You can now select the number of rows (6-row planting/8-row planting/10-row planting), the type of combine (yield combine, etc.), and the number of combine harvesters (5-row mowing/6-row mowing/7-row mowing). ing. Thereafter, when the user operates the terminal T to select various conditions on the smart technology selection screen _S4 , the reception unit 231 acquires the selection results via the device-side communication unit 21.

Note that the smart technology selection screen _S4 may be such that it is possible to select wheels/crawler, presence/absence of automatic steering, etc. for the tractor. Further, the smart technology selection screen _S4 may be such that the horsepower of the tractor can be selected numerically. Furthermore, the smart technology selection screen _S4 may be such that it is possible to select whether or not to use a rice transplanting simultaneous fertilization machine (side row), whether to use high-density sowing seedlings, etc. in the rice transplanter. In addition, the smart technology selection screen _S4 may allow selection of the type of combine harvester, such as a yield combine, a self-removal type, a general-purpose type, and an ordinary type. In addition, the smart technology selection screen _S4 allows you to select the presence or absence of an automatic water management device, the presence or absence of a pest control drone, the presence or absence of a ridge mowing robot, the presence or absence of a GPS-linked precision fertilizer, the presence or absence of a GPS leveler, etc. It's okay. In addition, on the smart technology selection screen _S4 , you can select seedling-raising facilities (number of seedling-raising houses/3x10 standard), drying and preparation facilities (30ha scale/50ha scale/100ha scale/200ha scale/drying and preparation contract), etc. It may be as follows. By selecting the scale of seedling raising facilities and drying facilities, when expanding the scale by introducing smart agriculture, for example, if the capacity of the seedling raising facility does not match the capacity of the rice transplanter and the seedlings are not transferred to the rice transplanter. It is possible to prevent problems such as not being able to supply the product in time or the capacity of the drying and preparation facility not matching the capacity of the combine harvester, resulting in a delay in harvesting.

Further, when a predetermined operation (for example, touching or clicking the simulation condition selection button B ₃ on the setting screen S ₁ ) is performed on the operation unit Ta of the terminal T, the reception unit 231 according to the present embodiment displays a simulation condition selection screen. S ₅ generates web page data and sends it to terminal T. Then, the terminal T displays a simulation condition selection screen _S5 on the presentation section Tb. On the simulation condition selection screen _S5 , as shown in FIG. 11, for example, regional information (target region) and simulation period can be selected. Thereafter, when the user operates the terminal T to select various conditions on the simulation condition selection screen _S5 , the reception unit 231 acquires the selected regional information and simulation period via the device side communication unit 21.

Note that the reception unit 231 may be configured to generate a list display of each content of a plurality of standard management indicators as shown in FIG. 12 as the indicator selection screen _S3 . In that case, the reception unit 231 may be configured to directly set the standard management index selected by the user by operating the terminal T as the user's management index.

(Transmission control section)
As shown in FIG. 6, the transmission control unit 232 sends the selection result of the management model from among the various information acquired by the reception unit 231 to the server 1. Further, the transmission control unit 232 sends the management index selection results to the server 1. Furthermore, the transmission control unit 232 sends the regional information and simulation period received by the reception unit 231 to the server 1. The transmission control unit 232 according to this embodiment controls the device-side communication unit 21 to transmit various information to the server 1.

(Acquisition Department)
The acquisition unit 233 acquires a standard management model for each type of agriculture. The acquisition unit 233 acquires the standard management index corresponding to the selection result transmitted to the server 1 by the transmission control unit 232 from the server-side storage unit 12 of the server 1 . The acquisition unit 233 then sets the acquired standard management model as the user's management model, and automatically inputs each numerical value of the standard management model into the management condition setting area R ₁ of the setting screen S ₁ . The acquisition unit 233 also acquires standard management indicators for each type of agriculture. The acquisition unit 233 acquires the standard management index corresponding to the selection result transmitted to the server 1 by the transmission control unit 232 from the server-side storage unit 12 of the server 1 . Then, the acquisition unit 233 sets the acquired standard management index as the user's management index, and automatically inputs each numerical value of the standard management index into the management index setting area _R2 of the setting screen _S1 .

(Reception Department Part 2)
The reception unit 231 receives re-input from the user regarding at least one of regional information, simulation period, standard management model (management model of the user who has set it), and standard management index (management index of the user who has set it). The reception unit 231 accepts the re-input, for example, after the presentation unit Tb of the terminal T presents the prediction result to the user (details will be described later). Note that re-input regarding the standard management model and standard management indicators includes re-inputting some information included in the standard management model and standard management indicators. Furthermore, "re-input" includes modifying the content that has already been input.

When a predetermined operation (for example, touching or clicking the condition correction button B ₄ on the setting screen S ₁ ) is performed on the operation unit Ta of the terminal T, the reception unit 231 according to the present embodiment displays the condition correction screen S 6 on the web page of the condition correction screen S ₆ . Generate page data and send it to terminal T. Then, the terminal T displays a condition correction screen _S6 on the presentation section Tb. As shown in FIG. 13, the condition modification screen _S6 allows arbitrary numerical values to be entered in the input fields of each item included in the regional information and investment information. Thereafter, when the user operates the terminal T to enter a numerical value in the input field of the item to be modified on the condition modification screen S ₆ , the reception unit 231 acquires the input numerical value via the device-side communication unit 21 .
The reception unit 231 then modifies the set numerical value. By doing so, the user can change the content to be more in line with the actual situation. As a result, it becomes possible to perform analysis that is more suitable for the user's own management.

Furthermore, when a predetermined operation (for example, touching or clicking the index edit button _B5 on the setting screen _S1 ) is performed on the operation section Ta of the terminal T, the reception unit 231 according to the present embodiment displays the index edit screen _S7 . generates web page data and sends it to terminal T. Then, the terminal T displays the index editing screen _S7 on the presentation section Tb. As shown in FIG. 14, the index editing screen _S7 allows arbitrary numerical values to be input into the input fields of each item included in the standard management index. Thereafter, when the user operates the terminal T and inputs a numerical value into the input field of the item to be modified on the index editing screen _S7 , the reception unit 231 acquires the input numerical value via the device-side communication unit 21. The reception unit 231 then modifies the set numerical value. By doing so, the user can change values that differ from the actual situation to suit his/her own management. Note that the receiving unit 231 displays the index editing screen _S7 at an arbitrary timing when a predetermined operation is performed. Therefore, the operation of inputting a numerical value into the input field of each item includes not only correcting a numerical value that has already been input, but also inputting a new arbitrary numerical value.

(Generation part)
The generation unit 234 generates a production plan for the target agricultural management entity with reference to the regional information, simulation period, standard management model, and standard management index. Then, the generation unit 234 generates web page data of the first plan display screen _S8 showing the generated production plan, and transmits it to the terminal T. Then, the terminal T displays the first plan display screen _S8 on the presentation section Tb. The first plan display screen _S8 , for example, as shown in FIG. , other expenses, ordinary income, and cash flow. The first plan display screen _S8 according to the present embodiment displays each numerical value separately for the entire management and for each crop. The generation unit 234 generates a production plan for each year within the simulation period. Note that the generation unit 234 is configured to display on the first plan display screen _S8 , together with the production plan, input fields for each item included in the standard management indicators similar to the above-mentioned index editing screen _S7 . Good too. In this way, the production plan can be formulated while checking how each numerical value of the production plan changes by changing the numerical value of the standard management index.

Further, when the reception unit 231 receives input of production conditions, the generation unit 234 refers to the production conditions and standard management indicators to calculate a predicted value of business improvement for each management data. The predicted value of management improvement is the value of the standard management index when management is improved by introducing smart agriculture among standard management indicators. Each management data is classified into income, expenses, and working hours. Revenue is further classified into unit yield and unit sales price. Costs are further classified into seed costs, fertilizer costs, etc. Work time is further classified into seedling raising time, plowing time, rice planting time, etc. Then, the generation unit 234 generates web page data of the improvement prediction value display screen that shows the generated management improvement prediction value, and transmits it to the terminal T. Then, the terminal T displays an improved predicted value display screen on the presentation section Tb. The predicted improvement value display screen displays a list of each management data and the corresponding predicted management improvement value.

The generation unit 234 calculates the required labor force (hereinafter referred to as required labor force) for each period based on the generated production plan. The period is, for example, a month, a season, or the like. The generation unit 234 according to the present embodiment calculates the required labor force for each period for each crop cultivated at that period. Then, the generation unit 234 generates web page data of the second plan display screen _S9 indicating the calculated required labor force, and transmits it to the terminal T. Then, the terminal T displays the second plan display screen _S9 on the presentation section Tb. The second plan display screen _S9 displays a bar graph in which the horizontal axis (vertical axis) is the period and the vertical axis (horizontal axis) is the required labor force, as shown in FIG. 16, for example. Each bar graph is color-coded by crop. Further, on the second plan display screen _S9 , the upper limit of the labor force of full-time workers is indicated by a line L. This will help you understand when and how many temporary workers will be needed. As described above, the generation unit 234 generates a production plan for each year within the simulation period. Therefore, the generation unit 234 can also calculate the required labor force for each year within the simulation period.

Further, the generation unit 234 further refers to the production plan generated by the generation unit 234 and the investment information, and generates an investment recovery plan regarding the investment. Then, the generation unit 234 generates web page data of the third plan display screen _S10 showing the generated investment recovery plan, and transmits it to the terminal T. Then, the terminal T displays the third plan display screen _S10 on the presentation section Tb. The third plan display screen _S10 displays a graph showing the cash flow at the end of the year and the cumulative cash flow at the same time for the simulation period, as shown in FIG. 17, for example. By looking at this graph, you can see how many years it will take for cumulative cash flow to turn positive. In other words, the investment recovery plan includes the number of years for redemption of the investment amount, etc. Note that the generation unit 234 generates display contents of at least two of the display contents of the first plan display screen _S8 , the display contents of the second plan display screen _S9 , and the display contents of the third plan display screen _S10 . It may be configured to generate a plan display screen that combines the following.

The generation unit 234 corrects the production plan in accordance with at least one of the maintenance of a field section in at least one of the farmlands that can be utilized by the target agricultural management entity and the updating of equipment applied to the field section. The equipment includes at least one of agricultural machinery and drainage facilities. For example, by updating agricultural machinery from conventional agricultural machinery to agricultural machinery using smart technology (changed on the indicator editing screen _S7 above), the investment amount will increase, but the production plan will be adjusted such that working hours will decrease. be done. The generation unit 234 then generates an investment recovery plan for the investment associated with the maintenance of the field section and the renewal of equipment applied to the field section. As a result, the terminal T displays the third plan display screen _S10 showing the corrected production plan on the presentation section Tb. Furthermore, when at least one of the regional information, simulation period, standard management model, and standard management index is re-inputted to the reception unit 231, the generation unit 234 refers to the re-input and creates a production plan. generate.

(Second Acquisition Department)
The second acquisition unit 235 acquires from the server 1 prediction results (hereinafter referred to as prediction results) regarding changes in farmland that can be utilized by the target agricultural management entity. Changes in farmland are accompanied by changes in the number of agricultural management entities in the region. The second acquisition unit 235 according to this embodiment controls the device-side communication unit 21 to receive the prediction result.

(processing section)
The processing unit 236 executes processing with reference to the prediction result. The processing with reference to the prediction result includes, for example, recalculating the production plan generated by the generation unit 234, outputting the prediction result to the terminal T, and the like. When recalculating the production plan, the processing unit 236 calculates the area of the farmland indicated by the prediction result or the change in the area of the farmland indicated by the prediction result, instead of the area of the farmland indicated by the farmland condition, or in addition to the area of the farmland indicated by the farmland condition. A production plan may be generated accordingly. At that time, a production plan is generated by changing the labor conditions according to the change in the area of farmland indicated by the prediction result, and the required labor due to the change in the area of farmland indicated by the prediction result and the change in the area. It may also be configured to present changes in force to the user.

[Information processing equipment and others]
Note that the information processing device 2 may include a presentation unit that presents the production plan and prediction results to the user. In that case, the information processing device 2 may not communicate with the terminal T. Further, the acquisition section and the reception section may be combined into one. In addition, the generation unit 234 is configured to generate a production plan by referring to the prediction results (by the prediction unit) acquired from the server 1 in addition to the regional information, simulation period, standard management model, and standard management index. It's okay. In that case, the processing section 236 may not be provided.

[Effect]
According to the information processing apparatus or information processing system 100 according to the present embodiment described above, the server 1 outputs the prediction result of predicting changes in farmland (area). Then, the information processing device 2 creates a production plan that reflects the prediction results. The prediction results output by the server 1 accurately predict changes in farmland by taking into account changes (decrease) in the number of agricultural management entities. That is, the information processing system 100 provides a technology that can suitably propose and support expansion of the scale of management by agricultural management entities. As a result, according to the information processing system 100, the agricultural management entity can expand its management scale as planned.

Moreover, according to each aspect of the present invention described above, by producing the above-mentioned effects, it is possible to contribute to the spread of smart agricultural technology. And through widespread smart technology, we can increase food production, reduce labor costs, and reduce greenhouse gas emissions. As a result, we will contribute to the achievement of Sustainable Development Goals (SDGs) Goal 2 "Zero Hunger," Goal 8 "Decent Work and Economic Growth," and Goal 13 "Specific Measures to Address Climate Change." I can do it.

[Information processing systems and others]
Note that in the information processing system 100, the server 1 includes the prediction unit 135, but the information processing device 2 may include the prediction unit. Further, although the information processing system 100 is divided into the server 1, the information processing device 2, and the second server 3, at least two of these may be a single device. For example, when the second server 3 is integrated into the server 1, the server-side storage unit 12 of the server 1 stores a standard management model and standard management indicators, and the server-side control unit 13 has a configuration corresponding to the selection unit 332. become. Furthermore, in the information processing system 100, all the information sent from the terminal T to the server 1 went through the information processing device 2, but the information processing system 100 is configured so that the terminal T sends information directly to the server 1 or the second server 3. may have been done. For example, the information processing device 2 may be configured to directly acquire at least one of the standard management model and the standard management index from the second server 3 (without going through the server 1).

Furthermore, the functions of each of the devices 1 and 2 (hereinafter referred to as "devices") constituting the information processing system 100 are information processing programs for making a computer function as the device, and each control block of the device. (In particular, each part included in the device-side control part 23) can be realized by an information processing program for making a computer function.
In this case, the device includes a computer having at least one control device (for example, a processor) and at least one storage device (for example, a memory) as hardware for executing the information processing program. By executing the above information processing program using this control device and storage device, each function described in each of the above embodiments is realized.
The information processing program may be recorded on one or more computer-readable recording media instead of temporary. This recording medium may or may not be included in the above device. In the latter case, the information processing program may be supplied to the device via any wired or wireless transmission medium.

Further, part or all of the functions of each of the control blocks described above can also be realized by a logic circuit. For example, an integrated circuit in which a logic circuit functioning as each of the control blocks described above is formed is also included in the scope of the present invention. In addition to this, it is also possible to realize the functions of each of the control blocks described above using, for example, a quantum computer.
<Management planning method>
Next, an embodiment of another aspect (management planning method) of the present invention will be described. FIG. 18 is a flowchart showing the flow of the business planning method.

As shown in FIG. 18, the business planning method includes a reception step S1, an acquisition step S2, a generation step S3, a second acquisition step S4, and a processing step S5.

(Reception step)
In the first reception step, the information processing device 2 receives regional information regarding the region where the target agricultural management entity exists and a simulation period. Various types of information may be received by receiving the information from the terminal T, or by operating an operation unit Ta (not shown) included in the information processing device 2.

(Acquisition step)
After receiving the regional information and simulation period, the process moves to an acquisition step. In the acquisition step, the information processing device 2 acquires a standard management model and standard management index for each type of agriculture. Note that the standard management model and standard management indicators may be acquired by receiving them from the server 1. Further, if the device-side storage unit 22 of the information processing device 2 stores the standard management model and standard management indicators, the determination may be performed by reading them from the device-side storage unit 22. Moreover, the acquisition step may be performed before the reception step, or may be performed in parallel with the reception step.

(Generation step)
After obtaining the standard management indicators, proceed to the generation step. In the generation step, the information processing device 2 generates a production plan for the target agricultural management entity with reference to the regional information, simulation period, standard management model, and standard management index.

(Second acquisition step)
After generating the production plan, proceed to the second acquisition step. In the second acquisition step, the information processing device 2 acquires the prediction result. Note that the prediction result may be acquired by receiving it from the server 1. Further, when the device-side storage unit 22 of the information processing device 2 stores a learned model and the device-side control unit includes a prediction unit, the output of the prediction unit may be used. Further, the second acquisition step may be performed at any timing before executing the following processing steps in the business planning method.

(processing step)
After obtaining the prediction result, the process moves to the processing step. In the processing step, the information processing device 2 executes processing with reference to the prediction result.

[Effect]
According to the management planning method according to the present embodiment described above, similar to the information processing system 100 according to the first embodiment described above, the technology that can suitably propose and support the expansion of the management scale by agricultural management entities is realized. provided. As a result, agricultural management entities will be able to expand their business scale as planned.

Note that the present invention is not limited to the embodiments described above, and can be modified in various ways within the scope of the claims, and can be obtained by appropriately combining technical means disclosed in different embodiments. The embodiments are also included in the technical scope of the present invention.

〔summary〕
The information processing device according to aspect 1 of the present invention includes a reception unit that receives regional information regarding the area where the target agricultural management entity exists and a simulation period, and an acquisition unit that acquires a standard management model and standard management index for each agricultural type. a generation unit that generates a production plan for the target agricultural management entity by referring to the regional information, the simulation period, the standard management model, and the standard management index; a second acquisition unit that acquires prediction results regarding changes in farmland due to changes in farmland that can be utilized by the target agricultural management entity; and a processing unit that executes processing with reference to the prediction results. This is the configuration that it is equipped with.

The information processing apparatus according to aspect 2 of the present invention may be configured to include a presentation section that presents the production plan and the prediction result acquired by the second acquisition section to the user in the above-mentioned aspect 1.

In the information processing device according to aspect 3 of the present invention, in the above aspect 2, after the presentation unit presents the prediction result to the user, the reception unit includes the regional information by the user, the simulation period, the It may be configured such that a re-input regarding at least one of the standard management model and the standard management index is received, and the generation unit generates the production plan with reference to the re-input.

In the information processing device according to aspect 4 of the present invention, in any one of aspects 1 to 3 above, the generation unit further includes the regional information, the simulation period, the standard management model, and the standard management index. , the production plan may be generated by referring to the prediction result acquired by the second acquisition unit.

In the information processing device according to aspect 5 of the present invention, in any one of aspects 1 to 4 above, the reception unit further acquires information regarding investment by the target agricultural management entity, and the generation unit: The production plan generated by the generation unit and the information regarding the investment may be further referred to to generate an investment recovery plan regarding the investment.

In the information processing device according to aspect 6 of the present invention, in any one of aspects 1 to 5 above, the generation unit is configured to maintain a field section in at least one of the farmlands that can be utilized by the target agricultural management entity. The production plan may be corrected in accordance with at least one update of equipment applied to the field section.

The information processing device according to aspect 7 of the present invention may be configured such that, in the above aspect 6, the generation unit generates an investment recovery plan for the investment associated with the maintenance and the update.

In the information processing device according to aspect 8 of the present invention, in any one of aspects 1 to 7 above, the standard management index includes applicable region, management entity size, field conditions, crop name, and required agricultural machinery. - It is a management index classified according to the difference in equipment, and may be configured to include information on income, expenses, work hours, and work timing.

The information processing system according to aspect 9 of the present invention includes a reception unit that receives regional information regarding the area where the target agricultural management entity exists and a simulation period, and an acquisition unit that receives a standard management model and standard management index for each agricultural type. a generation unit that generates a production plan for the target agricultural management entity by referring to the regional information, the simulation period, the standard management model, and the standard management index; The present invention is configured to include a prediction unit that predicts changes in farmland due to changes in farmland that can be utilized by the target agricultural management entity.

The information processing system according to aspect 10 of the present invention is the information processing system according to aspect 9, further comprising a storage section that stores a standard management model and a standard management index for each agricultural type, and the acquisition section retrieves the standard management model and standard management index from the storage section. It may also be configured to obtain standard management indicators for each type of agriculture.

An information processing program for causing a computer to function as an information processing device according to aspect 11 of the present invention, which causes the computer to function as the reception unit, the acquisition unit, the generation unit, the second acquisition unit, and the processing unit. An information processing program according to the above aspect 1 is an information processing program for causing a computer to function as the information processing apparatus according to claim 1, wherein the information processing program includes the reception section, the acquisition section, and the generation section. , a computer may be configured to function as the second acquisition section and the processing section.

A management planning method according to aspect 12 of the present invention includes a step in which an information processing device receives regional information regarding an area where a target agricultural management entity exists and a simulation period; a step of acquiring a management model and a standard management index; the information processing device refers to the regional information, the simulation period, the standard management model and the standard management index to create a production plan for the target agricultural management entity; and a step in which the information processing device obtains a prediction result regarding a change in farmland that can be utilized by the target agricultural management entity, which is a change in farmland due to a change in the number of agricultural management entities in the region. and a step of the information processing device executing processing with reference to the prediction result.

100 Information processing system 1 Server 11 Server-side communication unit 12 Server-side storage unit 121 Program 122 Learned model 123 Agricultural management entity database 13 Server-side control unit 131 Server-side acquisition unit 132 Request unit 133 Server-side second acquisition unit 134 Sending unit 135 prediction unit 2 information processing device 21 device side communication unit 22 device side storage unit 221 information processing program 23 device side control unit 231 reception unit 232 transmission control unit 233 acquisition unit 234 generation unit 235 second acquisition unit 236 processing unit 3 second Server 31 Second server-side communication unit 32 Second server-side storage unit 322 Standard management model database 323 Standard management index database 33 Second server-side control unit 331 Second server-side acquisition unit 332 Selection unit 4 Index generation device

Claims (12)

a reception department that receives regional information regarding the area where the target agricultural management entity is located and the simulation period;
an acquisition department that acquires standard management models and standard management indicators for each type of agriculture;
a generation unit that generates a production plan for the target agricultural management entity with reference to the regional information, the simulation period, the standard management model, and the standard management index;
a second acquisition unit that acquires prediction results regarding changes in farmland that can be utilized by the target agricultural management entity, which are changes in farmland due to changes in the number of agricultural management entities in the region;
a processing unit that executes processing with reference to the prediction result;
An information processing device comprising: characterized by comprising a presentation unit that presents the production plan and the prediction results acquired by the second acquisition unit to the user;
The information processing device according to claim 1. After the presentation unit presents the prediction result to the user,
The reception unit receives re-input from the user regarding at least one of the regional information, the simulation period, the standard management model, and the standard management index,
The generation unit generates the production plan by referring to the re-input,
The information processing device according to claim 2. The generation unit generates the production plan by referring to the prediction result acquired by the second acquisition unit in addition to the regional information, the simulation period, the standard management model, and the standard management index. and
The information processing device according to any one of claims 1 to 3. The reception unit further obtains information regarding the investment by the target agricultural management entity;
The generating unit further refers to the production plan generated by the generating unit and the information regarding the investment, and generates an investment recovery plan regarding the investment.
The information processing device according to claim 1. The generation unit corrects the production plan in accordance with at least one of the maintenance of a field plot in at least one of the farmland that can be utilized by the target agricultural management entity and the renewal of equipment applied to the farm plot. characterized by
The information processing device according to claim 1. The generation unit is characterized in that it generates an investment recovery plan for the investment associated with the maintenance and the update.
The information processing device according to claim 6. The above-mentioned standard management indicators are management indicators classified according to applicable areas, management entity size, field conditions, crop names, and required agricultural machinery and equipment, and include information on income, expenses, working hours, and working periods. characterized by comprising;
The information processing device according to claim 1. a reception department that receives regional information regarding the area where the target agricultural management entity is located and the simulation period;
an acquisition department that acquires standard management models and standard management indicators for each type of agriculture;
a generation unit that generates a production plan for the target agricultural management entity with reference to the regional information, the simulation period, the standard management model, and the standard management index;
An information processing system comprising: a prediction unit that predicts a change in farmland that can be utilized by the target agricultural management entity, which is a change in farmland due to a change in the number of agricultural management entities in the region. further comprising a storage unit storing a standard management model and standard management index for each agricultural type,
The acquisition unit is characterized in that it acquires standard management indicators for each type of agriculture from the storage unit.
The information processing system according to claim 9. An information processing program for causing a computer to function as the information processing device according to claim 1, wherein the computer is made to function as the reception section, the acquisition section, the generation section, the second acquisition section, and the processing section. An information processing program featuring: a step in which the information processing device receives regional information regarding the region where the target agricultural management entity is located and a simulation period;
a step in which the information processing device acquires a standard management model and standard management index for each agricultural type;
a step in which the information processing device generates a production plan regarding the target agricultural management entity by referring to the regional information, the simulation period, the standard management model, and the standard management index;
a step in which the information processing device obtains a prediction result regarding a change in farmland that can be utilized by the target agricultural management entity, which is a change in farmland due to a change in the number of agricultural management entities in the region;
a step in which the information processing device executes processing with reference to the prediction result;
A business planning method characterized by having the following.

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