WO2020110210A1 - Système informatique, procédé et programme de proposition de bénéfice prédit - Google Patents

Système informatique, procédé et programme de proposition de bénéfice prédit Download PDF

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Publication number
WO2020110210A1
WO2020110210A1 PCT/JP2018/043665 JP2018043665W WO2020110210A1 WO 2020110210 A1 WO2020110210 A1 WO 2020110210A1 JP 2018043665 W JP2018043665 W JP 2018043665W WO 2020110210 A1 WO2020110210 A1 WO 2020110210A1
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Prior art keywords
agricultural
sales
profit
cost
livestock products
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PCT/JP2018/043665
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English (en)
Japanese (ja)
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俊二 菅谷
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株式会社オプティム
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Priority to PCT/JP2018/043665 priority Critical patent/WO2020110210A1/fr
Priority to JP2020557443A priority patent/JP7066256B2/ja
Publication of WO2020110210A1 publication Critical patent/WO2020110210A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining

Definitions

  • the present invention relates to a computer system for proposing agricultural and livestock products, a forecasted profit proposing method, and a program.
  • Patent Document 1 presents agricultural crops that can be cultivated and profits obtained from the agricultural crops in a specific cultivation place, the agricultural products that are expected to have high profits are not limited to specific places, and workers are Was difficult to recognize. In addition, since only agricultural products are targeted, it has been difficult for workers to recognize livestock products that do not consider livestock products and are expected to generate high profits.
  • An object of the present invention is to provide a computer system, a forecast profit proposing method, and a program that allow easy understanding of highly profitable agricultural and livestock products.
  • the present invention provides the following solutions.
  • the present invention is a computer system that proposes highly profitable agricultural and livestock products, Sales forecasting means for forecasting sales of the agricultural and livestock products, Production cost calculation means for calculating the cost of producing the agricultural and livestock products, Sales cost calculating means for calculating the cost of selling the agricultural and livestock products, Profit forecasting means for forecasting the profit of the agricultural and livestock products based on the sales, the cost for the production and the cost for the sale; A profit proposing means for proposing the profit, There is provided a computer system comprising:
  • a computer system that proposes highly profitable agricultural and livestock products predicts the sales of the agricultural and livestock products, calculates the cost of producing the agricultural and livestock products, and sells the agricultural and livestock products.
  • the cost is calculated, the profit of the agricultural and livestock products is predicted based on the sales, the cost of the production, and the cost of the sales, and the profit is proposed.
  • the present invention is a system category, but also in other categories such as methods and programs, the same action/effect according to the category is exhibited.
  • FIG. 1 is a diagram showing an outline of the forecast profit proposal system 1.
  • FIG. 2 is an overall configuration diagram of the forecast profit proposal system 1.
  • FIG. 3 is a flowchart showing a profit forecasting process executed by the computer 10.
  • FIG. 4 is a flowchart showing a profit proposal process executed by the computer 10.
  • FIG. 5 is an example of a diagram schematically showing a predicted profit data table recorded by the computer 10.
  • FIG. 6 is an example of a diagram schematically showing a screen displayed by the computer 10 on the worker terminal.
  • FIG. 7 is an example of a diagram schematically showing a screen displayed on the worker terminal by the computer 10.
  • FIG. 1 is a diagram for explaining an outline of a forecasted income proposal system 1 which is a preferred embodiment of the present invention.
  • the forecast profit proposal system 1 is a computer system that includes a computer 10 and proposes highly profitable agricultural and livestock products.
  • Agricultural and livestock products are agricultural products such as grains, vegetables, fruits, and flowers, and livestock products such as cows, pigs, and chickens. Further, not only these agricultural products and livestock products themselves, but also processed products and the like may be included.
  • the forecast profit proposal system 1 may include a worker terminal owned by a worker in the agriculture and livestock industry, other terminals such as a computer, and devices. Further, the forecasted profit proposal system 1 may be realized by a single computer such as the computer 10, or may be realized by a plurality of computers such as a cloud computer.
  • the computer 10 is connected to a worker terminal or the like via a public line network so as to be able to perform data communication, and executes necessary data transmission/reception.
  • the computer 10 predicts sales of agricultural and livestock products.
  • the computer 10 may be configured to predict sales based on at least one of the sales trend of agricultural and livestock products and the population distribution of consumers.
  • the computer 10 records past sales trends of agricultural products that have been recorded in advance or refer to various databases (changes in sales amount, changes in sales amount, changes in growing area, changes in the number of workers, etc.) and production locations. Predict sales of this agricultural and livestock product based on the population distribution around the area and the sales place.
  • the computer 10 calculates the cost of producing agricultural and livestock products. At this time, the computer 10 considers at least one of the predicted yield of agricultural and livestock products, growing conditions (climate, soil, water, etc.) and environmental information (sunlight, rainfall, temperature, pests, diseases, etc.). Calculate the cost of producing livestock products. The computer 10 calculates, for example, the total of the seedling cost per unit amount, the feed cost, the facility cost, and the labor cost based on the working hours per unit volume as the cost required for the production. The computer 10 adds or subtracts costs required for labor costs and equipment costs based on the predicted yield, for example, to calculate the costs for production.
  • the computer 10 calculates the cost of production by adding or subtracting the cost required for the facility for adjusting the climate (greenhouse required for cultivation of vinyl greenhouses, etc.) to the agricultural and livestock products where the climate is not appropriate. To do. For example, at the time when a pest occurs, the computer 10 calculates by adding the labor required for the pest and the cost required for the medicine. The computer 10 may calculate the cost of production by combining the examples described above.
  • the computer 10 calculates the cost of selling agricultural and livestock products. At this time, the computer 10 calculates the cost of selling in consideration of the cost of transporting and storing the agricultural and livestock products.
  • the computer 10 stores, for example, a transportation cost necessary for physical distribution from the production site to the sales site, a storage cost during storage at the production site, and a storage cost during storage at the sales site by the time of sale.
  • the cost of selling agricultural and livestock products is calculated as the main cost of selling.
  • the computer 10 may take into account other costs such as operating costs and costs for securing a selling place as costs for selling agricultural and livestock products.
  • the computer 10 predicts the profit of the agricultural and livestock products based on the predicted sales, costs for production, and costs for sales.
  • the computer 10 calculates profit by subtracting the cost of production and the cost of sales from the predicted sales, and predicts the calculated result as the profit of the agricultural and livestock products.
  • a calculation method is adopted for simplification of description, but not limited to this calculation method, a predetermined coefficient is used, depreciation cost, etc. are taken into consideration, and a dedicated
  • the income of agricultural and livestock products may be predicted by taking into consideration the deduction of employees.
  • the computer 10 proposes the predicted profit to the worker. At this time, the computer 10 may propose at least one of the predicted sales, the calculated production cost, and the calculated sales cost in addition to the profit.
  • the computer 10 may suggest to a worker a breeding method suitable for this agricultural and livestock product in consideration of at least one of the agricultural and livestock product growing conditions and environmental information. Further, the computer 10 may suggest at least one of a production place and a sales place to the worker.
  • the computer 10 predicts sales of agricultural and livestock products (step S01).
  • the computer 10 predicts the sales of agricultural and livestock products in each region (Hokkaido, Tohoku, Kanto, Chubu, Kinki, Shikoku, Kyushu Okinawa, each prefecture, each municipality, etc.).
  • the computer 10 predicts sales for each agricultural and livestock product in each region, for example.
  • the computer 10 considers at least one of the above-mentioned past sales trend of the agricultural products, the distribution of the population of consumers in each region, around the production place, and/or around the sales place as described above. Predict sales.
  • the computer 10 calculates the cost of producing agricultural and livestock products (step S02).
  • the computer 10 calculates the cost of producing agricultural and livestock products in consideration of at least one of the above-mentioned predicted yield of agricultural and livestock products, growing conditions, and environmental information.
  • the computer 10 calculates the cost of selling agricultural and livestock products (step S03).
  • the computer 10 calculates the cost of selling based on the transportation cost and the storage cost of the agricultural and livestock products as described above.
  • the computer 10 predicts the profit of the agricultural and livestock products based on the predicted sales and the calculated production and sales costs (step S04).
  • the computer 10 calculates the value obtained by subtracting the cost required for production and sales from the above-mentioned sales as the income of the agricultural and livestock products.
  • the computer 10 predicts this calculation result as the income of the agricultural and livestock products.
  • the computer 10 proposes the predicted profit to the worker (step S05).
  • the computer 10 proposes to the worker the predicted profit of this agricultural and livestock product based on the name of the agricultural and livestock product designated by the worker.
  • the computer 10 proposes to the worker the name of the highly profitable agricultural and livestock product in this area and the predicted profit in this agricultural and livestock product based on the area designated by the worker.
  • the computer 10 proposes to the worker the name of the highly profitable agricultural and livestock product in the area around this current position and the predicted profit of this agricultural and livestock product based on the current position of the worker.
  • the computer 10 also proposes the name of the agricultural and livestock product that meets the sales, production cost, and/or selling cost specified by the worker and the predicted profit for this agricultural and livestock product.
  • the computer 10 similarly proposes the predicted profit to the worker.
  • the computer 10 may propose at least one of the predicted sales, the calculated production cost, and the calculated sales cost in addition to the profit.
  • the computer 10 may propose a cultivation method suitable for agricultural and livestock products in consideration of at least one of agricultural and livestock product growth conditions and environmental information in addition to profits. Further, the computer 10 may propose at least one of a production place and a sale place of this agricultural and livestock product.
  • FIG. 2 is a diagram showing a system configuration of the forecast profit proposal system 1 according to the preferred embodiment of the present invention.
  • the forecast profit proposal system 1 is a computer system which includes a computer 10 and proposes highly profitable agricultural and livestock products.
  • forecasted profit proposal system 1 may include other terminals and devices such as the above-mentioned worker terminal and other computers.
  • the predicted profit proposal system 1 may be realized by a single computer such as the computer 10 or a plurality of computers such as a cloud computer.
  • the computer 10 is connected to the above-described worker terminal (not shown) and the like so as to be able to perform data communication via a public line network, etc., and executes necessary data transmission/reception.
  • the computer 10 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like, and a device for enabling communication with other terminals or devices as a communication unit, for example, the IEEE 802. .. 11 compliant Wi-Fi (Wireless-Fidelity) compatible device and the like. Further, the computer 10 includes, as a recording unit, a hard disk, a semiconductor memory, a recording medium, a data storage unit such as a memory card. Further, the computer 10 includes various devices that execute various processes as a processing unit.
  • a CPU Central Processing Unit
  • RAM Random Access Memory
  • ROM Read Only Memory
  • the computer 10 includes, as a recording unit, a hard disk, a semiconductor memory, a recording medium, a data storage unit such as a memory card.
  • the computer 10 includes various devices that execute various processes as a processing unit.
  • control unit reads a predetermined program to realize the proposal request acquisition module 20, the profit proposal module 21, the training method proposal module 22, and the place proposal module 23 in cooperation with the communication unit. Further, in the computer 10, the control unit reads a predetermined program to realize the recording module 30 in cooperation with the recording unit. Further, in the computer 10, the control unit reads a predetermined program, thereby cooperating with the processing unit, the sales prediction module 40, the production cost calculation module 41, the sales cost calculation module 42, the profit prediction module 43, and the proposal content creation. The module 44 is realized.
  • FIG. 3 is a diagram showing a flowchart of the profit prediction process executed by the computer 10. The processing executed by each module described above will be described together with this processing.
  • the sales forecasting module 40 forecasts the sales of agricultural and livestock products (step S10).
  • step S10 the sales forecasting module 40 forecasts sales of agricultural and livestock products in a predetermined range such as each region.
  • the sales prediction module 40 predicts the sales of one agricultural and livestock product in each region, for example. If the agricultural and livestock products are grapes, forecast the sales of the grapes within a given range.
  • the sales forecasting module 40 forecasts sales of various agricultural and livestock products in a predetermined range.
  • the sales forecasting module 40 forecasts sales in consideration of the sales trend of agricultural and livestock products and/or the population distribution of consumers. For example, the sales forecasting module 40 records, as a sales trend, a change in the sales amount of grapes within a predetermined range, a change in the sales amount itself, a change in the sales amount, a change in the growing area, a change in the number of workers, etc. It is acquired by referring to a database previously recorded in 30, a database recorded by another computer, or the like. In addition, the sales forecasting module 40 pre-stores the distribution distribution of consumers in a predetermined range, around the production place of agricultural and livestock products, and/or around the selling place of agricultural and livestock products in the recording module 30 as the population distribution of consumers. It is acquired by referring to the recorded database or the database recorded by another computer. The sales prediction module 40 predicts the sales of agricultural and livestock products based on at least one of the sales trend and the population distribution of consumers.
  • the sales prediction module 40 predicts the sales amount and sales amount of agricultural and livestock products to be sold, based on the changes in the sales amount itself and the changes in the sales amount as the sales trend.
  • the sales prediction module 40 predicts sales of agricultural and livestock products by multiplying the predicted sales amount by the sales amount.
  • the sales forecasting module 40 forecasts the sales of agricultural and livestock products based on the average distribution amount and the ratio and total number of consumers who purchase the agricultural and livestock products around the sales place as the population distribution.
  • the sales prediction module 40 predicts the sales of agricultural and livestock products by multiplying the sales amount by the ratio or total number of consumers who purchase.
  • the sales prediction module 40 may be configured to predict sales of agricultural and livestock products based on sales trends and population distribution. In this case, for example, the sales prediction module 40 predicts the sales of agricultural and livestock products based on the transition of the sales amount itself, the transition of the sales amount, and the population distribution around the sales place. The sales prediction module 40 predicts the sales amount of this agricultural and livestock product based on the change in the sales amount. The sales forecasting module 40 forecasts the sales volume based on the population distribution at the selling place and based on the ratio and total number of consumers who purchase the agricultural and livestock products. The sales prediction module 40 predicts the sales of this agricultural and livestock product by multiplying the predicted sales amount by the predicted sales amount.
  • the above-described calculation method by which the sales prediction module 40 predicts sales is merely an example, and is not limited to the above-described example, and can be changed as appropriate.
  • the production cost calculation module 41 calculates the cost (production cost) required to produce agricultural and livestock products (step S11).
  • the production cost calculation module 41 considers at least one of the predicted yield of agricultural and livestock products, growing conditions (climate, soil, water, etc.), and environmental information (sunshine, rainfall, temperature, pests, diseases, etc.). Calculate the production cost of agricultural and livestock products.
  • the production cost calculation module 41 calculates, for example, the total of the seedling cost per unit amount, the feed cost, the equipment cost, the labor cost based on the working hours per unit amount, and the like as the production cost.
  • the production cost calculation module 41 calculates the final production cost by adding at least one of the predicted yield, the growing condition, and the environmental information to this production cost.
  • the production cost calculation module 41 calculates the final production cost by adding the cost required for adjusting the final shipping amount to the production cost when the predicted profit is higher than usual. Further, the production cost calculation module 41 calculates the final production cost by adding the cost required for the facility (greenhouse, etc.) for adjusting the growing condition to the production cost when the climate is predicted to be unsuitable. .. Further, when the occurrence of pests is predicted, the production cost calculation module 41 calculates the final production cost by adding the costs for the labor force and the medicine required for pest control to the production cost.
  • the production cost calculation module 41 may calculate the cost of producing agricultural and livestock products in consideration of a combination of the above-mentioned predicted yield, growing conditions, and environmental information. For example, in the above-mentioned example, the production cost calculation module 41 calculates the final production cost by adding the cost required for the facility for adjusting the growing condition and the cost required for pest control to the production cost.
  • the production cost calculation module 41 may calculate the final production cost after further considering the costs of other productions. Further, the production cost calculation module 41 may calculate the final production cost by adding other conditions.
  • the sales cost calculation module 42 calculates a cost (sales cost) required to sell agricultural and livestock products (step S12).
  • the selling cost calculation module 42 calculates the final selling cost in consideration of the costs of transporting and storing the agricultural and livestock products.
  • transportation costs include transportation costs required to transport agricultural and livestock products from a production site to a sales site.
  • storage costs include storage costs required for storage of agricultural and livestock products at the production site and storage costs required for storage of agricultural and livestock products at the sales site.
  • the selling cost calculation module 42 calculates the final selling cost by using the costs for transportation and storage as the substantial selling cost.
  • the selling cost calculation module 42 may calculate the final selling cost by further considering other costs such as operating costs and costs for securing a selling place in addition to the above-mentioned ones.
  • the profit prediction module 43 predicts the profit of the agricultural and livestock products based on the predicted sales, the calculated production cost and the sales cost (step S13). In step S13, the profit prediction module 43 calculates the profit by subtracting the calculated production cost and sales cost from the predicted sales. That is, the profit prediction module 43 predicts this calculation result as profit.
  • the profit forecasting module 43 is not limited to the above-described calculation method, and other calculation methods such as a calculation method that uses a predetermined coefficient for the predicted sales, the calculated production cost, and the sales cost, depreciation costs, deductions for full-time employees, etc.
  • the profit may be predicted based on another calculation method such as a calculation method that takes into consideration.
  • the calculation method by which the profit prediction module 43 predicts the profit can be changed as appropriate.
  • the recording module 30 records the name of the agricultural and livestock product, the production location of the agricultural and livestock product, the predicted sales, the calculated production cost, the calculated sales cost, and the predicted profit in association with each other as predicted profit data (step S14).
  • the recording module 30 records the type name, the variety name, the product name, the processed product name, etc. as the names of the agricultural and livestock products, records the above-mentioned predetermined range as the production place, and the sales as described above.
  • the predicted value is recorded, the calculated value is recorded as the production cost, the calculated value is recorded as the sales cost, and the predicted value is recorded as the profit.
  • the recording module 30 further records general forecasting methods and sales places in the applicable predetermined range in addition to the forecast profit data.
  • the recording module 30 may record the above-mentioned forecast profit data other than the above-mentioned example together.
  • the recording module 30 does not necessarily need to record all the above-described examples in the above-described predicted profit data, and can be changed as appropriate.
  • FIG. 5 is a diagram schematically showing an example in which the recording module 30 records the predicted profit data in a table format.
  • the recording module 30 records the management number, the name of agricultural and livestock products, the production location, the breeding method, the sales, the production cost, the sales cost, the revenue, and the sales location in a table format in association with each other as the predicted revenue data.
  • the recording module 30 gives management numbers in order from the one with the highest profitability.
  • the recording module 30 has, for example, a management number 0001 with a farm and livestock product name of chicken, a production place of Miyazaki Prefecture, a breeding method of flat breeding, sales of 80 million yen, and production cost of 40 million yen.
  • the sales cost is 10 million yen
  • the profit is 30 million yen
  • the sales place is Fukuoka prefecture.
  • the recording module 30 newly records the predicted profit data
  • the recorded profit is compared with the predicted profit in the already recorded predicted profit data and the predicted profit in the newly recorded predicted profit data, and the profit is high. Add the newly recorded forecast revenue data to the place where the order position is maintained. At this time, the recording module 30 changes the management number based on the added predicted profit data.
  • forecast revenue data table may have a configuration in which newly recorded forecast revenue data is added to the lowest position without changing the order.
  • FIG. 4 is a diagram showing a flowchart of the profit proposing process executed by the computer 10. The processing executed by each module described above will be described together with this processing.
  • the proposal request acquisition module 20 acquires a proposal request for predicted profit data from a worker (step S20).
  • the proposal request acquisition module 20 acquires a proposal request for profit data from a worker terminal or the like.
  • This proposal request includes a condition for profit data specified by the worker.
  • this condition for example, the predicted profit data of agricultural and livestock products in the surrounding area based on the own position information, the predetermined number of predicted profit data, the predicted profit data of the predetermined agricultural and livestock products, displayed on the worker terminal
  • the forecast profit data based on the area or place designated on the map, and the forecast profit data of agricultural and livestock products satisfying the sales, the production cost and/or the sales cost designated by the worker can be given.
  • the proposal content creation module 44 creates the proposal content of the predicted profit data for this worker based on the acquired request request for the predicted profit data (step S21).
  • step S21 the proposal content creation module 44 creates the proposal content based on the conditions included in the proposal request described above.
  • the proposal content creation module 44 extracts a predetermined number of predicted profit data in the surrounding area based on the position information of the worker from the predicted profit data table in descending order of profit and creates the proposal content. To do.
  • the proposal content creation module 44 extracts a predetermined number of items in descending order of profit regardless of region from the predicted profit data table, and creates the proposal contents.
  • the proposal content creation module 44 extracts a predetermined number of predicted profit data corresponding to the agricultural and livestock products designated by the worker from the predicted profit data table in descending order of profit, and creates the proposal content. Further, the proposal content creation module 44 extracts a predetermined number of predicted profit data in the area or place designated by the worker in the descending order of profit from the predicted profit data table, and creates the proposal contents. In addition, the proposal content creation module 44 extracts a predetermined number of pieces of predicted profit data that match or approximate the sales, production cost, and/or sales cost designated by the worker from the predicted profit data table in descending order of profit. , Create as a proposal content.
  • the proposal content creation module 44 creates, as the content of the proposal, a training method suitable for agricultural and livestock products in consideration of at least one of the training conditions and environmental information with respect to the training method in the forecast profit data.
  • the proposal content creation module 44 uses, for example, greenhouse cultivation for improving profitability by accelerating the shipment time when the cultivation method in the forecast profit data is open field cultivation, when the climate in this area is mild. Create forcing culture as a proposal.
  • the proposal content creation module 44 creates a greenhouse greenhouse cultivation as a rain measure as the proposal content when the growing method in the forecast profit data is open field cultivation and when the amount of rainfall in this area is larger than the average area. To do.
  • the proposal content creation module 44 creates at least one of the production location and the sales location in the forecast profit data as the proposal content.
  • the proposal content creation module 44 creates, in addition to the predicted profit, the predicted sales, the production cost, the sales cost, the training method, the production location and the sales location as the proposal content.
  • suggestion content creation module 44 may create a breeding method suitable for agricultural and livestock products as a suggestion content in consideration of the breeding condition and environmental information for the breeding method. Further, the proposal content creation module 44 may create the production location and the sales location as the proposal content for the sales location.
  • the proposal content creation module 44 is configured to create, as a proposal content, at least one of predicted sales, production cost, sales cost, training method, production location, and sales location in addition to the expected profit as the proposal content. It may be. Further, the proposal content creation module 44 may be configured to create, as the proposal content, at least one of the measured sales, the production cost, and the sales cost as the proposal content in addition to the predicted profit. In addition, the proposal content creation module 44 may be configured to create, as the proposal content, the training method and/or the production place or the sales place as the proposal content in addition to the predicted profit.
  • the proposal content creation module 44 includes, as the proposal content, at least one of the predicted sales, the production cost, and the sales cost in addition to the predicted profit, and further, the training method and/or the production place or the sales place as the proposal content.
  • the configuration may be created.
  • the profit proposal module 21 proposes a profit to the worker (step S22).
  • the profit proposing module 21 sends the created proposal contents to the worker terminal and displays the proposal contents on the worker terminal to propose a profit.
  • the profit proposing module 21 also proposes any one or a combination of predicted sales, production costs, sales costs, training methods, production locations and sales locations included in the created proposal content.
  • the breeding method suitable for agricultural and livestock products may be suggested by the breeding method suggestion module 22.
  • the place of production and the place of sale of the agricultural and livestock products may be suggested by the place suggestion module 23.
  • the raising method suggesting module 22 may propose a raising method and the place suggesting module 23 may suggest a production place and a selling place.
  • FIG. 6 is a diagram schematically showing an example of a screen displayed on the worker terminal by the profit proposing module 21.
  • FIG. 7 is a diagram schematically showing an example of another screen displayed on the worker terminal by the profit proposing module 21.
  • the profit proposal module 21 causes the worker terminal to display the profit proposal screen 100.
  • This profit proposal screen 100 is based on the proposal contents created by the above-described proposal content creation module 44 by extracting a predetermined number of profitable data tables in descending order of profit regardless of region.
  • the profit proposing module 21 displays the management number, the name of the agricultural and livestock products, the predicted profit, the predicted sales, the production cost, the sales cost, the breeding method, the production place, and the sales place as the profit proposal screen 100 on the worker terminal. Display it.
  • the items to be displayed are based on the proposal contents created by the above-mentioned proposal contents creating module 44.
  • the profit proposing module 21 displays each agricultural and livestock product in descending order of profit. In this example, the profit proposing module 21 displays that the profitability is high in the order of chicken, milk, grape,... Based on the order of management numbers.
  • the profit proposal module 21 displays each item described above in each agricultural and livestock product.
  • the profit proposing module 21 may be configured to highlight or highlight the one with the highest profitability, or to display visual changes in the order of high profitability. Further, the display is not limited to the table display as shown in FIG. 6, and other display modes such as a graph may be displayed.
  • each agricultural and livestock product only specific items may be displayed. For example, for chicken, the expected income, breeding method, and production place are displayed, for milk, the expected income, estimated sales, production cost, and sales cost are displayed, and in the grape, only the expected income is displayed.
  • the above-described suggestion content creation module 44 may create the suggestion contents in which only the specific items are displayed as the suggestion contents.
  • the proposal content creation module 44 may create at least the predicted profit of each agricultural and livestock product as the proposal content, and other items can be appropriately changed.
  • the proposal request acquisition module 20 displays the map 200 on the worker terminal.
  • the worker specifies a desired area for this map 200.
  • the area designated by the worker on the map 200 is indicated by the icon 210.
  • the proposal request acquisition module 20 causes the worker terminal to display the enlarged map 220 including the area designated by the worker.
  • the worker further designates the area desired by the worker on the enlarged map 220.
  • the area designated by the worker on the enlarged map 220 is indicated by the icon 230.
  • the proposal request acquisition module 20 acquires the proposal request of the forecast profit data for the area designated by the icon 230.
  • the proposal content creation module 44 Based on the acquired proposal request, the proposal content creation module 44 extracts a predetermined number of predicted profit data corresponding to this region from the predicted profit data table in descending order of profit and creates the proposal contents.
  • the profit proposal module 21 displays the created proposal contents on the worker terminal as a predicted profit display field 240.
  • the profit proposing module 21 displays the predicted profit display field 240 in a format to be superimposed on the enlarged map 220.
  • the profit proposal module 21 displays the name of the agricultural and livestock product, the predicted profit, the predicted sales, the production cost, the sales cost, the breeding method, the production place, and the sales place in the predicted profit display field 240.
  • the items to be displayed are based on the proposal contents created by the above-mentioned proposal contents creating module 44.
  • the harvest proposal module 21 displays the one related to the agricultural and livestock products with the highest predicted profit.
  • the proposal request acquisition module 20 may display a further enlarged map including the area designated by the enlarged map 220. This may be repeated one or more times to display a map with various enlargement ratios.
  • the profit proposal module 21 is not limited to displaying the profit of one agricultural and livestock product. It may be configured to display the profits of a plurality of agricultural and livestock products. In this case, the other agricultural products are displayed in the descending order of profit, or the other agricultural products are displayed by displaying an icon for displaying the other agricultural products. It may be configured to display livestock products. Further, the display mode, the display position, and the like of the predicted profit display field 240 are not limited to this example, and can be changed as appropriate.
  • the above-described means and functions are realized by a computer (including a CPU, an information processing device, and various terminals) reading and executing a predetermined program.
  • the program is provided in the form of being provided from a computer via a network (SaaS: software as a service), for example.
  • the program is provided in a form recorded in a computer-readable recording medium such as a flexible disk, a CD (CD-ROM, etc.), a DVD (DVD-ROM, DVD-RAM, etc.), for example.
  • the computer reads the program from the recording medium, transfers the program to the internal recording device or the external recording device, records the program, and executes the program.
  • the program may be recorded in advance in a recording device (recording medium) such as a magnetic disk, an optical disk, a magneto-optical disk, and provided from the recording device to a computer via a communication line.

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  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Le problème décrit par la présente invention est de fournir un système informatique qui permet de déterminer facilement des produits agricoles/de bétail hautement rentables, un système informatique qui permet de fournir facilement un procédé et un programme de proposition de bénéfice prédit, et un procédé et un programme de proposition de bénéfice prédit. La solution selon l'invention porte sur un système informatique permettant proposer un produit agricole/bétail hautement rentable qui prédit les ventes du produit agricole/de bétail, calcule le coût de production du produit agricole/de bétail, calcule le coût de vente du produit agricole/de bétail, prédit un bénéfice à partir du produit agricole/de bétail sur la base des ventes, du coût de production et du coût de vente, et propose le bénéfice.
PCT/JP2018/043665 2018-11-28 2018-11-28 Système informatique, procédé et programme de proposition de bénéfice prédit WO2020110210A1 (fr)

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JP2020557443A JP7066256B2 (ja) 2018-11-28 2018-11-28 コンピュータシステム、予測収益提案方法及びプログラム

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20220018828A (ko) * 2020-08-07 2022-02-15 (주)협신식품 축산물 가공 관리 시스템 및 방법과 이를 위한 컴퓨터 프로그램

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Publication number Priority date Publication date Assignee Title
JPH11353364A (ja) * 1998-06-08 1999-12-24 Hitachi Ltd 商品の出荷先及び、出荷数量の決定方法
JP2003030278A (ja) * 2001-07-19 2003-01-31 National Agricultural Research Organization インターネットを介した農業経営支援システム
WO2013128557A1 (fr) * 2012-02-27 2013-09-06 富士通株式会社 Procédé de calcul de coût, programme de calcul de coût et dispositif de calcul de coût

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Publication number Priority date Publication date Assignee Title
CN108121536A (zh) 2018-02-11 2018-06-05 山东省农业信息中心 一种农业决策方法及装置

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11353364A (ja) * 1998-06-08 1999-12-24 Hitachi Ltd 商品の出荷先及び、出荷数量の決定方法
JP2003030278A (ja) * 2001-07-19 2003-01-31 National Agricultural Research Organization インターネットを介した農業経営支援システム
WO2013128557A1 (fr) * 2012-02-27 2013-09-06 富士通株式会社 Procédé de calcul de coût, programme de calcul de coût et dispositif de calcul de coût

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20220018828A (ko) * 2020-08-07 2022-02-15 (주)협신식품 축산물 가공 관리 시스템 및 방법과 이를 위한 컴퓨터 프로그램
KR102547735B1 (ko) 2020-08-07 2023-06-26 (주)협신식품 축산물 가공 관리 시스템 및 방법과 이를 위한 컴퓨터 프로그램

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JP7066256B2 (ja) 2022-05-13

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