KR102398925B1 - ERP system for Agricultural management body - Google Patents

Abstract

The present invention relates to an ERP system for an agricultural business entity that enables systematic support and management such as item management, land management, production strategy establishment and management, inventory management, and effective policy application for an agricultural business entity. Agricultural management terminal that accesses the management ERP system to input data necessary for agricultural management, and supports to check the agricultural management analysis results made in the agricultural management ERP system; item management, land management, production strategy establishment and management for agricultural enterprises Agricultural management ERP system that systematically supports and manages , inventory management, and effective policy application; agriculture that provides data necessary for item management, land management, production strategy establishment and management, inventory management, and policy application of the agricultural management ERP system Management-related external servers; to include.

Description

EL system for Agricultural management body

The present invention relates to an integrated support and management system for an agricultural business entity, and specifically, an agricultural business entity that enables systematic support and management of item management, land management, production strategy establishment and management, inventory management, and effective policy application for an agricultural business entity. It is about the ERP system for

Changes in the agricultural structure regarding how the factors of agricultural production are organized and related to each other are generally judged to have a profound impact on rural society.

Agricultural structure refers to the status of production factors such as land and capital in agricultural management, and the relationship between the agricultural sector and other economic sectors.

In modern agriculture, there are two important structural trends: the structural trend that agriculture is gradually being concentrated in a small number of large, capital-intensive forms, and the structural trend that agriculture is gradually structurally differentiated according to the principle of specialized division of labor and profit-maximizing commercialization. special attention is being paid to

In particular, the agricultural policy on the improvement of the agricultural structure aims to increase agricultural productivity and improve farm household income through the improvement and reform of the agricultural structure.

In order to improve the structure and solve the problem of farm household income, which are the core of the agricultural problem, it is necessary to break away from the standardized support policy and promote customized farm administration. To support this systematically, the agricultural management system registration system was introduced.

Agricultural business refers to farmers and agricultural corporations. It registers management information such as production information of crops, livestock breeding information, etc. with a government agency, registers an agricultural business that receives a unique number, and performs agricultural business based on the information registered by the government. It refers to the subject of the system used as basic data such as granting participation qualifications, such as farm household income stabilization direct payment system, etc.

However, despite the introduction of the agricultural management system registration system, the management, verification, registration, etc. of all agricultural data must be managed by the agricultural management organization, and the systematic support and management system for actual agricultural management has not been established. It is currently being done.

As such, the systematic support and management system for actual agricultural management by the agricultural management body has not been established, so there is a limit in improving the efficiency of policy business and financial execution by integrating and managing individual information of the agricultural management body.

Therefore, it is required to establish a systematic support and management system that enables advanced agricultural management through item management, land management, production strategy establishment and management, inventory management, and effective policy application for agricultural businesses.

Republic of Korea Patent Publication No. 10-2017-0026903 Republic of Korea Patent Publication No. 10-2014-0051709 Republic of Korea Patent Publication No. 10-2013-0006282

The present invention is to solve the problems of the agricultural management management technology of the prior art, so that systematic support and management such as item management, land management, production strategy establishment and management, inventory management, and effective policy application for agricultural enterprises is possible. It aims to provide an ERP system for agricultural businesses.

The present invention records and stores soil conditions related to cultivated items, such as acidity, electrical conductivity, soil organic matter, effective phosphoric acid, and lime requirements, and analyzes them to recommend items and fertilizer use to enable efficient item and production management. It aims to provide an ERP system for an agricultural business.

The present invention analyzes what kind of fertilizer should be used for competitiveness according to the soil condition, and recommends and warns which fertilizer is more suitable and which fertilizer is better to avoid, so that the efficiency in terms of cost and productivity can be increased. The purpose is to provide an ERP system for

An object of the present invention is to provide an ERP system for an agricultural business entity that analyzes the production performance of each lot based on the harvested agricultural products and provides feedback on how the managed lot is efficient in terms of cost and productivity to increase the efficiency of agricultural management. There is this.

The present invention is an ERP system for agricultural businesses that automates the application of government policy contents to current farmhouse resources, and calculates the expected income based on the support contents according to the government policy change to minimize the damage caused by the policy change. Its purpose is to provide

The present invention uses statistical data such as consumer agrifood consumption, media exposure by agrifood, search portal agrifood search volume, nationwide agricultural production production, time taken for specific agricultural products to profit, agricultural product sales price data, added value, consumer preference, and distribution possibility. The purpose of this is to provide an ERP system for agricultural businesses that can efficiently establish production strategies by calculating each item.

Other objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned will be clearly understood by those skilled in the art from the following description.

The ERP system for an agricultural management body according to the present invention for achieving the above object connects to the agricultural management ERP system by the agricultural management body, inputs the data necessary for agricultural management, and analyzes the agricultural management analysis result made in the agricultural management ERP system. Agricultural management terminal that supports to check; agricultural management ERP system that systematically supports and manages item management, land management, production strategy establishment and management, inventory management, and effective policy application for agricultural management organizations; agricultural management ERP system It is characterized in that it includes an external server related to agricultural management that provides data necessary for item management, land management, production strategy establishment and management, inventory management, and policy application.

Here, the agricultural management ERP system includes an item management module that manages item information including items cultivated by the agricultural business, cultivation area, cultivation period, harvest time, and cultivation cost, and inventory for each item based on the current expected yield, Inventory management module that manages inventory information for each item that is already harvested and stored, manages lot input and registration of land managed by agricultural businesses, records and stores soil conditions related to cultivated items, analyzes them, and recommends items and a land management module that recommends fertilizer use, a policy application module that calculates expected income based on support contents according to government policy changes, and added value, consumer preference, and distribution using data input through an external server related to agricultural management It is characterized in that it includes a production strategy module that provides production strategy indicators by calculating the degree of possibility for each item.

And the land management module includes a lot input and registration management unit that manages lot input and registration of land managed by an agricultural business entity, a soil state record storage unit that records and stores the state of soil related to cultivated items, and fertilizer use The fertilizer use history and recommendation management department, which analyzes the soil state information stored in the history and soil state record storage unit to recommend cultivated items and fertilizer use, and how the lot was managed by analyzing the production performance of each lot based on the harvested agricultural products. It is characterized in that it includes a productivity performance analysis unit that feedbacks whether it is efficient in terms of cost and productivity.

And the soil state information stored in the soil state record storage unit is characterized in that it includes items of acidity, electrical conductivity, soil organic matter, effective phosphoric acid, and lime requirement.

In addition, the policy application module includes a policy change display unit that supports the display of policy change information so that the government policy change information provided through an agricultural management-related external server can be checked through the agricultural management terminal, and the corresponding item according to the government policy change. A policy support reflection unit that applies the expected purchase amount and support to the resources of the current farmhouse, an item and inventory input unit that receives item and inventory information from the inventory management module, and an item and inventory information input through the item and inventory input unit It is characterized in that it includes an expected income calculation unit that calculates the expected income by reflecting the policy support contents based on the information, and an item recommendation and appropriate inventory quantity recommendation unit that recommends items and an appropriate stock amount based on the calculation details of the expected income calculation unit. .

And the production strategy module includes a statistical data loading unit that receives agricultural management-related statistical data through an external server related to agricultural management, and a data preprocessing unit that pre-processes the statistical data received through the statistical data loading unit to be able to recommend items and calculate expected income; By using the consumer information loading unit that receives consumer information to establish a production plan, and statistical data and consumer information that have been pre-processed, item recommendation and expected income are calculated, and added value, consumer preference, and distribution possibility are calculated for each item. It is characterized in that it includes an item recommendation and an expected income calculation unit that provides a production strategy indicator.

And agricultural management-related statistical data is characterized by including consumer agri-food consumption, media exposure by agri-food, search portal agri-food search volume, national agricultural production production, time taken for specific agricultural products to make a profit, and agricultural product sales price data items.

The ERP system for an agricultural business entity according to the present invention as described above has the following effects.

First, it enables systematic support and management of item management, land management, production strategy establishment and management, inventory management, and effective policy application for agricultural businesses.

Second, it records and stores soil conditions related to cultivated items, such as acidity, electrical conductivity, soil organic matter, effective phosphoric acid, and lime requirements, and analyzes them to recommend items and fertilizer use to enable efficient item and production management. .

Third, it analyzes what kind of fertilizer should be used for competitiveness according to the soil condition, and recommends and warns which fertilizer is more suitable and which fertilizer is better to avoid, so that the efficiency in terms of cost and productivity can be increased.

Fourth, the efficiency of agricultural management is improved by analyzing the production performance of each lot based on the harvested agricultural products and providing feedback on how the managed lot is efficient in terms of cost and productivity.

Fifth, it is possible to minimize the damage caused by policy changes by calculating the expected income based on the support contents according to the government policy changes by automating the application of the government policy contents to the resources of current farm households.

Sixth, using statistical data such as consumer agrifood consumption, media exposure by agrifood, search portal agrifood search volume, nationwide agricultural production production, the time it takes for a specific agricultural product to make a profit, and agricultural product sales price data, value added, consumer preference, and distribution potential are evaluated by item. , so that the production strategy can be established efficiently.

1 is an overall configuration diagram of an ERP system for an agricultural business entity according to the present invention;
2 is a detailed configuration diagram of an ERP system for an agricultural business entity according to the present invention;
3A to 3C are diagrams illustrating a detailed configuration of a land management configuration and a land management module and a method for determining appropriateness of fertilizer according to the present invention;
4A and 4B are detailed configuration diagrams of a policy application configuration and a policy application module according to the present invention;
5A and 5B are detailed configuration diagrams of a production strategy establishment configuration and a production strategy module according to the present invention

Hereinafter, a preferred embodiment of the ERP system for an agricultural business entity according to the present invention will be described in detail as follows.

Features and advantages of the ERP system for an agricultural business according to the present invention will become apparent through the detailed description of each embodiment below.

1 is an overall configuration diagram of an ERP system for an agricultural enterprise according to the present invention.

The ERP system for an agricultural business entity according to the present invention enables systematic support and management of item management, land management, production strategy establishment and management, inventory management, and effective policy application for the agricultural business entity.

To this end, the present invention records and stores the conditions of the soil related to cultivated items such as acidity, electrical conductivity, soil organic matter, effective phosphoric acid, and lime requirement, and analyzes them to recommend items and fertilizer use. there is.

The present invention analyzes what kind of fertilizer should be used to be competitive according to the soil condition, and recommends and warns which fertilizer is more suitable and which fertilizer is better to avoid, so as to increase efficiency in terms of cost and productivity. may include

The present invention may include a configuration that analyzes the production performance for each lot based on the harvested agricultural products and feeds back how the managed lots are efficient in terms of cost and productivity.

The present invention may include a configuration that automates the application of the government policy content to the resources of current farm households and calculates the expected income based on the support content according to the government policy change to minimize the damage caused by the policy change. .

The present invention uses statistical data such as consumer agrifood consumption, media exposure by agrifood, search portal agrifood search volume, nationwide agricultural production production, time taken for specific agricultural products to profit, agricultural product sales price data, added value, consumer preference, and distribution possibility. It may include a configuration for efficiently establishing a production strategy by calculating for each item.

The ERP system for an agricultural business entity according to the present invention including such a configuration is to enable all resources and policies related to agricultural management, market trends, production management, etc. to be performed, and by introducing the ERP (Enterprise Resource Planning) concept This is to enable integrated management for agricultural management.

ERP (Enterprise Resource Planning, Enterprise Resource Planning) integrates and manages business activity processes such as production, logistics, finance, accounting, sales, purchasing, and inventory within a company. It refers to an enterprise-wide resource management system or enterprise-wide integrated system that helps creation and quick decision-making.

The ERP system for the agricultural management body according to the present invention, as shown in FIG. 1, connects to the agricultural management ERP system 200 by the agricultural management body, inputs the data required for agricultural management, and the agriculture made in the agricultural management ERP system 200 Agricultural management terminal 100 that supports to check the results of management analysis, and agricultural management that systematically supports and manages item management, land management, production strategy establishment and management, inventory management, and effective policy application for agricultural management organizations It includes an ERP system 200 and an agricultural management-related external server 300 that provides data necessary for item management, land management, production strategy establishment and management, inventory management, and effective policy application of the agricultural management ERP system 200 . .

Here, the agricultural management-related external server 300 is connected to a server such as an agricultural management record analysis server, agricultural product distribution information management server, Agricultural Technology Institute server, Korea Rural Community Corporation, Agricultural Technology Center, Rural Development Administration, etc. to receive necessary data. However, it is not limited thereto.

A detailed configuration of the agricultural management ERP system 200 will be described as follows.

Figure 2 is a detailed configuration diagram of the ERP system for an agricultural business according to the present invention.

The agricultural management ERP system 200 includes an item management module 20 that manages item information such as items cultivated by an agricultural business entity, a cultivation area, a cultivation period, a harvest time, and a cultivation cost, as shown in FIG. 2, and the current expected yield Inventory management module 30 that manages inventory by item based on , inventory information for each item that has already been harvested and stored, manages lot input and registration of land managed by agricultural businesses, and soil condition related to cultivated items The land management module 40 records and stores and analyzes them to recommend items and fertilizer use, and it automates the application of government policy contents to current farmhouse resources to predict based on the support contents according to government policy changes. A production strategy module that provides production strategy indicators by calculating the added value, consumer preference, and distribution possibility by item using the policy application module 50 for calculating income and the data input through the agricultural management-related external server 300 (60).

The detailed configuration of the land management module 40 is as follows.

3A to 3C are diagrams illustrating a detailed configuration of a land management configuration and a land management module and a method for determining appropriateness of fertilizers according to the present invention.

The land management module 40 records and stores the land input and registration management unit 41 that manages the lot input and registration of land managed by the agricultural business entity, and the state of the soil related to the cultivated item, as shown in FIG. 3B . A soil condition record storage unit 42, and a fertilizer use history and recommendation management unit 43 that analyzes the soil condition information stored in the fertilizer use history and soil condition record storage unit 42 to recommend cultivation items and fertilizer use and , it includes a productivity analysis unit 44 that analyzes the production performance of each lot based on the harvested agricultural products and feeds back how the managed parcels are efficient in terms of cost and productivity.

Here, the soil state information stored in the soil state record storage unit 42 includes items of acidity, electrical conductivity, soil organic matter, effective phosphoric acid, and lime requirement.

As such, the land management module 40 records and stores the condition of the soil related to the cultivated items such as acidity, electrical conductivity, soil organic matter, effective phosphoric acid, and lime requirement, and analyzes it to recommend items and fertilizer use, and soil It analyzes what kind of fertilizer should be used to be competitive according to the condition, and recommends and warns which fertilizer is more suitable and which fertilizer is better to avoid.

Fertilizer adequacy determination for recommending and warning which fertilizer is more suitable and which fertilizer is better to avoid according to the soil condition in the fertilizer use history and recommendation management unit 43 may be made by the following algorithm, but is not limited thereto .

For example, when fertilizer is applied to the soil, various nutrients such as nitrogen, phosphoric acid, potassium, calcium, magnesium, and sulfur are supplied. Since most nutrients have excess symptoms, it is important to properly control them.

Therefore, when applying fertilizer to the soil, it is necessary to select the correct fertilizer after checking the condition of the soil.

Specifically, if there is a risk of an excess of a specific nutrient component in the soil, 1 is stored in the nutrient component information in the soil table of the database within the server, and 0 is stored if there is no risk.

And, if each fertilizer contains the corresponding nutritional component, 1 is stored in the corresponding nutritional component information of the fertilizer in the fertilizer table, and 0 is stored if it does not.

In a state in which such data is established, as shown in FIG. 3C , fertilizer data is fetched from the fertilizer table, and soil data is fetched from the soil table.

(Information on component A of fertilizer data) * (Information on component A of soil data) = 1 If component A is calculated and this condition is not satisfied, it is judged that the use of component A is inappropriate.

All of these ingredients are judged and the results are combined to determine the appropriateness of fertilizer use.

And the productivity performance analysis by lot in the productivity analysis unit 44 may be done in the following way, but is not limited thereto.

If the production efficiency of all lots is constant when there are several lots, the commercial yield will be proportional to the area, but in reality, some lots have more yield compared to other lots.

In order to record the yield of each lot, divide the production performance section by standard deviation section compared to the average, and evaluate each lot, the evaluation table as in Table 1 is used to vary the weight of the criterion value for each step, so that the production performance for each lot can be analyzed. there is.

The detailed configuration of the policy application module 50 is as follows.

4A and 4B are detailed configuration diagrams of a policy application configuration and a policy application module according to the present invention.

The policy application module 50 minimizes the damage caused by policy changes by automating the application of the government policy content to the resources of the current farmhouse, as in FIG. 4A , calculating the expected income based on the support content according to the government policy change to be able to do it

The policy application module 50 supports the display of policy change information so that the government policy change information provided through the agricultural management-related external server 300 can be checked through the agricultural management terminal 100, as shown in FIG. 4b. Items and inventory from the policy change display unit 51 , the policy support reflecting unit 52 that applies the expected purchase amount and support contents to the resources of the current farmhouse according to the government policy change, and the inventory management module 30 . An item and inventory input unit 53 that receives information, and an expected income calculation unit 54 that calculates expected income by reflecting the policy support contents based on the item and inventory information input through the item and inventory input unit 53; , and an item recommendation and an appropriate inventory amount recommendation unit 55 for recommending items and recommending an appropriate inventory amount based on the calculation details of the expected income calculation unit 54 .

The policy application module 50 having such a configuration brings policy information announced by the government (Ministry of Agriculture, Food and Rural Affairs) and displays whether there is a policy change in the items currently handled by the farmer.

Also, in the case of the national purchase system/public supply system, the government purchases the crops, and the expected income can be calculated using the purchase amount and the current inventory purchased by the government.

And in the case of production stabilizers, subsidies/contract production/price guarantees announced by the government are supported. Based on these support contents, the expected income from the policy can be calculated.

For example, when it is difficult to sell agricultural products at a stable price due to a sharp drop in agricultural prices, it is possible to automate the application of the government policy to the resources of current farms and use it to minimize damage.

As an example of applying the policy contents to the resources of the farm household, for example, in the case of the production stabilization agent, the farmhouse contracts with the government and agrees with the Agricultural Cooperatives on the amount of shipment, the time of shipment, the price, etc., but such contract information corresponds to fixed sales and customers Therefore, it can be configured to interwork with ERP modules such as item, inventory, and customer management modules every shipment cycle.

A method of calculating the expected income that can be obtained by a policy based on the support contents in the policy application module 50 may be made as follows, but is not limited thereto.

For example, when the government purchases a specific item, it announces something like 'purchase of 2,300 won per 1 kg of garlic'.

Then, structured data of (garlic, 1000, 2300, 2020-01-01) exists in the purchase information table that stores [item, weight (g), price (won), registration date] in the database server.

The server refers to the inventory table that stores the farmhouse's inventory to calculate the expected income for all users handling garlic, and the inventory table stores [user id, item, current inventory (g)].

If structured data exists, such as when member 101 has 1 ton of garlic (101, garlic, 1000000), member 101 has the expected income calculated by the server of 1000000 / 1000 * 2300 = 2300000 (KRW) results can be obtained.

The detailed configuration of the production strategy module 60 is as follows.

5A and 5B are detailed configuration diagrams of a production strategy establishment configuration and a production strategy module according to the present invention.

The production strategy module 60 includes a statistical data loading unit 61 that receives agricultural management-related statistical data through an agricultural management-related external server 300, and item recommendation and prediction based on the statistical data received through the statistical data loading unit 61 A data pre-processing unit 62 that pre-processes so as to be able to calculate income, a consumer information loading unit 63 that receives consumer information for establishing a production plan, and item recommendation and expected income using the statistical data and consumer information that have been pre-processed It includes an item recommendation and expected income calculation unit 64 that calculates and provides production strategy indicators by calculating added value, consumer preference, and distribution possibility for each item.

Here, the agricultural management-related statistical data may include, but is not limited to, consumer agrifood consumption, media exposure by agrifood, search portal agrifood search amount, nationwide agricultural production production, time taken for specific agricultural products to profit, and agricultural product sales price data items, but is not limited thereto. .

The data preprocessor 62 of the production strategy module 60 collects data in the form of a matrix, which is a data structure that is easy to quickly calculate a lot of data, and loads the collected data by weighting only the necessary values through a matrix multiplication operation so that it can be calculated. .

In the preprocessing matrix, the server periodically finds a value with high accuracy.

And the item recommendation and expected income calculation unit 64 uses the pre-processed statistical data and consumer information to recommend items and calculate expected income, calculate added value, consumer preference, and distribution possibility by item to provide production strategy indicators To do this, consider the following:

When consumers and retailers purchase agri-food, they do not only buy one item, but also consume and purchase items together.

And, according to the consumption trend of agri-food, the items consumed more in the processed state and the items consumed more in the unprocessed state are determined.

Therefore, it is possible to organize the recommended production plan into standard data for each item and show it to the user, such as recommending items that are good for handling by items grown at the farm and growing together, or recommending processing by subcontracting to a processing plant. will do

The ERP system for an agricultural business entity according to the present invention described above is to enable systematic support and management of item management, land management, production strategy establishment and management, inventory management, and efficient policy application for the agricultural business entity, and for consumer agri-food Produced by calculating added value, consumer preference, and distribution potential by item using statistical data such as consumption amount, media exposure by agrifood, search portal agrifood search volume, national agricultural production output, time taken for a specific agricultural product to become profitable, and agricultural product sales price data to effectively establish a strategy.

As described above, it will be understood that the present invention is implemented in a modified form without departing from the essential characteristics of the present invention.

Therefore, the specified embodiments are to be considered in an illustrative rather than a restrictive point of view, the scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within the scope equivalent thereto are included in the present invention. will have to be interpreted.

100. Agricultural business terminal
200. Agricultural Management ERP System
300. Agricultural management related external server

Claims (7)

Agricultural management terminal that accesses the agricultural management ERP system by the agricultural management body, inputs data necessary for agricultural management, and supports to check the agricultural management analysis result made in the agricultural management ERP system;
Agricultural management ERP system for systematic support and management through item management, land management, production strategy establishment and management, inventory management, and policy application for agricultural businesses;
An agricultural management-related external server that provides data necessary for item management, land management, production strategy establishment and management, inventory management, and policy application of the agricultural management ERP system;
The agricultural management ERP system,
An item management module that manages item information including items cultivated by an agricultural business, cultivation area, cultivation period, harvest time, and cost of cultivation, inventory for each item based on the current expected yield, and inventory information for each item already harvested and stored Inventory management module that manages land, manages input and registration of land managed by agricultural businesses, records and stores soil conditions related to cultivated items, analyzes them, recommends item and fertilizer use, and harvests A land management module that analyzes the production performance of each lot based on a single agricultural product and provides feedback on how the managed lot is efficient in terms of cost and productivity, and government policy change information provided through an external server related to agricultural management Supports the display of policy change information so that users can check through the agricultural management terminal, and uses the policy application module that calculates the expected income based on the support according to the government policy change, and the data input through the agricultural management-related external server ERP system for agricultural management, characterized in that it includes a production strategy module that provides a production strategy index by calculating the degree of added value, consumer preference, and distribution possibility by item. delete The method of claim 1, wherein the land management module comprises:
A lot input and registration management unit that manages lot input and registration of land managed by an agricultural business entity;
A soil condition record storage unit for recording and storing the condition of the soil associated with the cultivated item;
A fertilizer use history and recommendation management unit that analyzes the soil condition information stored in the fertilizer use history and soil condition record storage unit to recommend cultivated items and fertilizer use;
ERP system for agricultural management, characterized in that it includes a productivity analysis unit that analyzes the production performance of each lot based on the harvested agricultural products and feeds back how the managed lot is efficient in terms of cost and productivity. [4] The ERP system of claim 3, wherein the soil state information stored in the soil state record storage unit includes acidity, electrical conductivity, soil organic matter, effective phosphoric acid, and lime requirement items. The method of claim 1, wherein the policy application module,
A policy change display unit that supports the display of policy change information so that the government policy change information provided through an agricultural management-related external server can be checked through an agricultural management terminal;
A policy support reflection unit that applies the expected purchase amount and support contents of the item to the resources of the current farmhouse in accordance with the government policy change;
An item and inventory input unit for receiving item and inventory information from the inventory management module;
An expected income calculation unit that calculates the expected income by reflecting the policy support contents based on the item and inventory information input through the item and inventory input unit;
An ERP system for an agricultural business, characterized in that it includes an item recommendation and an appropriate stock amount recommendation unit for recommending items and recommending an appropriate inventory amount based on the calculation details of the expected income calculation unit. According to claim 1, wherein the production strategy module,
A statistical data loading unit that receives agricultural management-related statistical data through an agricultural management-related external server;
A data pre-processing unit that pre-processes the statistical data received through the statistical data loading unit to recommend items and calculate expected income;
A consumer information loading unit that receives consumer information for establishing a production plan;
It includes an item recommendation and expected income calculation unit that uses pre-processed statistical data and consumer information to recommend item and calculate expected income, and calculate added value, consumer preference, and distribution potential for each item to provide production strategy indicators ERP system for agricultural businesses. The method of claim 6, wherein the agricultural management-related statistical data includes consumer agrifood consumption, media exposure by agrifood, search portal agrifood search amount, nationwide agricultural production production, time taken for specific agricultural products to make a profit, and agricultural product sales price data items. ERP system for agricultural businesses.

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