JP2024007918A - Advertisement providing system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an advertisement providing system for selecting an agricultural article and an agriculture support service corresponding to an attribute of an agriculture worker.

SOLUTION: In an advertisement providing system 1, an acquisition unit 11 chronologically acquires environmental data of a farm of an agriculture worker. A calculation unit 12 analyses information required by the agriculture worker to operate the farm from environmental data and an attribute of the agriculture worker stored in a storage unit 14 in which the environmental data of the farm collected by tye environmental data acquisition unit, the attribute of the agriculture worker, information regarding a cultivation mode, a cultivation area, and a cultivate crop of the farm, and data regarding an advertisement regarding an agricultural article and an agriculture support service are stored. A providing unit 13 provides the advertisement of the agricultural article and the agriculture support service to an agriculture worker terminal 30 via a communication network 50 on the basis of an analysis result.

SELECTED DRAWING: Figure 1

COPYRIGHT: (C)2024,JPO&INPIT

Description

The present invention relates to an advertisement providing system for agricultural supplies and agricultural support services.

In agricultural management, accurately grasping the growth status of cultivated crops, selecting appropriate agricultural materials, and using them requires know-how based on many years of experience. For this reason, it has been extremely difficult for farmers with little agricultural experience or lack of know-how to select optimal agricultural supplies and agricultural support services based on cultivation conditions.

In such a situation, in order for new agricultural workers to receive sufficient support, when agricultural product order information is received from the orderer's terminal, producers who are able to fulfill the order indicated in the order information will be notified. Generate a model, select a producer that matches or approximates the producer model from the producer database, and collect multiple pieces of information necessary for that producer to fulfill the order. An agricultural support system has been disclosed that extracts information from a know-how database, generates an information package containing the information as a set, and transmits the information package to a terminal of the producer (see Patent Document 1).

JP2007-72787A

However, because conventional agricultural support systems only provide know-how based on a single producer model, the content of support provided is biased and is not necessarily beneficial to farmers in need of support. The problem is that there is no.

Therefore, an object of the present invention is to provide an advertisement providing system that can provide useful information and support services even to farmers who have little agricultural experience or do not have know-how.

The advertisement providing system of the present invention includes an environmental data acquisition unit that acquires environmental data of a farmer's farm over time, an analysis unit that analyzes information required by the farmer to operate the farm, and an agricultural Information on farm environmental data, attributes of farmers, farm cultivation format, cultivation area, and cultivated crops collected by the advertising provision department, which provides advertisements about agricultural supplies and agricultural support services to workers, and the environmental data acquisition department. , a storage unit storing data related to advertisements regarding agricultural supplies and agricultural support services, and the analysis unit analyzes products necessary for farm operation based on the environmental data and attributes of farmers stored in the storage unit. and services, and the advertisement providing unit provides advertisements for agricultural supplies and agricultural support services to the terminals of agricultural workers via a communication network based on the results of the analysis.

1 is a diagram showing the configuration of an advertisement providing system according to an embodiment of the present invention. FIG. 1 is a block diagram showing a configuration used in an advertisement providing system according to an embodiment of the present invention. FIG. 1 is a block diagram showing a configuration used in an advertisement providing system according to an embodiment of the present invention. FIG. 1 is a block diagram showing a configuration used in an advertisement providing system according to an embodiment of the present invention. FIG. 1 is a block diagram showing a configuration used in an advertisement providing system according to an embodiment of the present invention. 1 is a flowchart of an advertisement providing system according to an embodiment of the present invention. 1 is a flowchart of an advertisement providing system according to an embodiment of the present invention. 1 is a flowchart of an advertisement providing system according to an embodiment of the present invention. 1 is a flowchart of an advertisement providing system according to an embodiment of the present invention. 1 is a flowchart of an advertisement providing system according to an embodiment of the present invention. 1 is a flowchart of an advertisement providing system according to an embodiment of the present invention. 1 is a flowchart of an advertisement providing system according to an embodiment of the present invention. 1 is a flowchart of an advertisement providing system according to an embodiment of the present invention. 1 is a flowchart of an advertisement providing system according to an embodiment of the present invention. 1 is a flowchart of an advertisement providing system according to an embodiment of the present invention.

Hereinafter, one embodiment of the present invention will be described with reference to the drawings. The embodiments shown below are examples of the embodiments of the present invention, and the present invention is not limited to these embodiments. In the drawings referred to in this embodiment, the same parts or parts having similar functions are denoted by the same or similar symbols, and repeated description thereof may be omitted.

<First embodiment>
An advertisement providing system 1 according to an embodiment of the present invention will be described with reference to FIGS. 1 to 11.

[Overview of advertisement provision system]
FIG. 1 is a diagram showing the configuration of an advertisement providing system 1 according to an embodiment of the present invention. The advertisement providing system 1 includes a server 10, a monitor logger 20, a farmer terminal 30, and a storage unit 40. The server 10, monitor logger 20, farmer terminal 30, and storage unit 40 are each connected to a communication network 50 such as the Internet or a communication line.

In the following explanation, the farmer terminal 30 is a terminal used by a specific farmer, and the specific farmer acquires information provided from the server 10 via the farmer terminal 30, and Information is provided to the server 10 via the farmer terminal 30. In addition, in the following description, unless otherwise specified, a specific farmer who uses the farmer terminal 30 will be simply referred to as a "farmer".

The server 10 is a server that provides advertisements for agricultural supplies and agricultural support services to farmers via the farmer terminal 30. The hardware configuration of the server 10 may be a physical server or a virtual server. In the advertisement providing system 1, the server 10 analyzes, for example, environmental data obtained from a farmer's farm (or a field that makes up the farm), the farmer's attributes, and farm equipment information, and uses the analysis results to determine the farm's Advertisements regarding one or both of products and services necessary for operation are transmitted to the farmer terminal 30.

The server 10 has a function of acquiring environmental data from the monitor logger 20 and storing the acquired environmental data in the storage unit 40. The server 10 can acquire attributes of farmers and farm data from the farmer terminal 30, and store the acquired data in the storage unit 40. The server 10 also has a function of reading and calculating data necessary for providing advertisements from among the data stored in the storage unit 40 and storing the calculated data in the storage unit 40. Further, as described above, the server 10 can transmit advertisements and information about products and services necessary for agricultural operation, which are selected based on the calculated results, to the farmer terminal 30.

[Monitor Logger 20]
The monitor logger 20 is a cultivation monitoring device installed in fields such as greenhouse horticulture and open field cultivation in agricultural management by farmers. Various sensors are connected to the monitor logger 20. Examples of environmental data for evaluating field conditions and environments include temperature, humidity, carbon dioxide concentration, light intensity, sunshine hours, culture medium moisture, and soil pH. In order to measure these environmental data, for example, a temperature sensor, a humidity sensor, a carbon dioxide concentration sensor, a light intensity sensor, a sunshine hours sensor, a soil moisture sensor, a soil pH sensor, etc. are used. The data measured by these sensors is stored as environmental data via the server 10 or directly in the storage unit 40. The monitor logger 20 has a function of acquiring data measured by various sensors installed in the field over time.

Further, the monitor logger 20 can directly store, in the storage unit 40, growth survey data of cultivated crops surveyed by farmers, such as stem diameter, number of flowers, number of fruits, and yield data. Specifically, farmers can conduct growth surveys of cultivated crops and input the growth survey data into the input form of the monitor logger 20 using a browser, and the input growth survey data can be directly stored. 40.

[Farmer terminal 30]
The farmer terminal 30 is an electronic device having a communication function. Examples of the farmer terminal 30 include a personal computer, a tablet terminal, or a smartphone. The farmer terminal 30 can send a notification to the server 10 requesting the provision of information such as advertisements for agricultural supplies and agricultural support services, and can receive information from the server 10 in response to the request. Further, the farmer terminal 30 has a function of transmitting input farmer attributes and farm data to the server 10 using the farmer terminal 30, and the server 10 stores the data in the storage unit 40. It has the function of

The storage unit 40 is a device that stores various data, advertisement information, and computer programs, although the details will be described later. The storage unit 40 is a storage device constructed from a hard disk, semiconductor memory, or the like. The storage unit 40 has a memory space that stores data acquired by the monitor logger 20 and a memory space that stores various programs executed by the server 10. The programs stored in the storage unit 40 include, for example, a program for executing a conversion process to be described later. Each program may be provided in a state stored in a computer-readable recording medium such as a magnetic recording medium, an optical recording medium, a magneto-optical recording medium, or a semiconductor memory. Further, each program may be provided by the server 10 to the storage unit 40 via the communication network 50.

As described above, the storage unit 40 stores environmental data and growth survey data of cultivated crops obtained by the monitor logger 20, as well as attributes of farmers and farm data inputted to the farmer terminal 30. Furthermore, the storage unit 40 stores data obtained through calculations such as analysis, such as environmental data and growth survey data of cultivated crops.

[Server 10]
As shown in FIG. 1, the server 10 includes an acquisition section 11, a calculation section 12, a provision section 13, and a storage section 14 as functional components.

[Acquisition unit 11]
The acquisition unit 11 acquires environmental data acquired by the monitor logger 20. Among the data of the monitor logger 20, data acquired by the monitor logger 20, such as environmental data, is stored in the storage unit 40 via the acquisition unit 11, and data inputted via the monitor logger 20, such as growth survey data, is stored in the storage unit 40 via the acquisition unit 11. can be directly stored in the storage unit 40.

[Calculation section 12]
The calculation unit 12 includes an analysis unit 121, an analysis unit 122, an estimation unit 123, a specification unit 124, a countermeasure unit 125, a prediction unit 126, and a selection unit 127, as shown in FIG.

The analysis unit 121 analyzes information necessary for farmers to operate a farm. For example, products and services necessary for a farmer to operate a farm are analyzed from the environmental data stored in the storage unit 40 and the farmer's attributes.

The analysis unit 121 can also analyze attribute data of farmers and farm data. The analysis unit 121 can further analyze attribute data and farm data of at least one other farmer other than the farmer. For example, the analysis unit 121 analyzes attribute data and farm data of other farmers who have used the advertisement providing system of this embodiment in the past. Based on this analysis result, the analysis unit 121 analyzes the farmer's attribute data and farm data.

Furthermore, the analysis unit 121 analyzes the business situation based on financial information of farmer attributes, sales results, yield results, and the like. For example, the analysis unit 121 analyzes expenses, sales, and yields of a farm management entity.

The analysis unit 122 analyzes the environment of the farmer's farm. The analysis unit 122 analyzes the environment of the farmer's farm based on the environmental data stored in the storage unit 40.

As shown in FIG. 3, the estimating section 123 includes a first estimating section 123-1, a second estimating section 123-2, a third estimating section 123-3, and a fourth estimating section 123-4.

The first estimation unit 123-1 of the estimation unit 123 estimates the growth state of cultivated crops based on the environmental data analyzed by the analysis unit 122 and the attributes of the farmer.

The fourth estimating unit 123-4 infers the agricultural support service required by the farmer from the analysis of the farmer's attributes and farm data, and the history of introduction of agricultural supplies and agricultural support services. Further, the fourth estimating unit 123-4 infers agricultural supplies and agricultural support services that the farmer is interested in based on the analysis of farmer attributes and farm data and the history of introduction of agricultural supplies and agricultural support services. For example, the fourth estimating unit 123-4 estimates agricultural supplies and agricultural support services necessary for a farmer based on the farmer's cultivation area, farm sales, number of workers, and other management scales.

As shown in FIG. 4, the specifying section 124 includes a first specifying section 124-1, a second specifying section 124-2, and a third specifying section 124-3.

The first identifying unit 124-1 identifies limiting factors in the growth state of cultivated crops. The first specifying unit 124-1 limits the growth state based on the yield of the cultivated crop predicted by the first prediction unit 126-1, which will be described later, and the growth condition of the cultivated crop estimated by the first estimation unit 123-1. Identify factors.

The second identifying unit 124-2 identifies limiting factors of the farmer's business situation. The second specifying unit 124-2 specifies limiting factors for the business status of farmers based on the attribute data and farm data of the farmers and other farmers analyzed by the analysis unit 121.

The third identifying unit 124-3 identifies advertisements for optimal agricultural supplies and agricultural support services among the agricultural supplies and agricultural support services that are estimated to be necessary or of interest to the farmer.

The countermeasure unit 125 examines the countermeasure plan, for example, for improving the condition of cultivated crops, estimated by the first estimation unit 123-1, and generates a countermeasure plan.

As shown in FIG. 5, the prediction unit 126 includes a first prediction unit 126-1 and a second prediction unit 126-2.

The first prediction unit 126-1 predicts the harvest amount of the farmer's farm. The first prediction unit 126-1 predicts the farm based on at least one of the environmental data stored in the storage unit 40, attributes of farmers, farm cultivation format, cultivation equipment, its performance, and cultivated crops. Predict yield.

The second prediction unit 126-2 predicts the cash flow that will occur when introducing agricultural goods and agricultural support services advertised by the advertisement providing system of this embodiment. The second prediction unit 126-2 is provided by the advertisement providing system of the present embodiment based on the attribute data of the farmer and at least one other farmer stored in the storage unit 40. Forecast the cash flow when introducing advertising agricultural supplies and agricultural support services. For example, it is assumed that a farmer has introduced the agricultural materials and agricultural machinery advertised by the advertisement providing system of this embodiment, and the cash flow that will occur with the introduction is predicted.

The selection unit 127 selects agricultural supplies and agricultural support services most suitable for farmers. Specifically, the selection unit 127 selects agricultural supplies and agricultural support services based on the limiting factors of the growth status of cultivated crops and the attributes of farmers identified by the first identification unit 124-1.

[Providing unit 13]
As shown in FIG. 6, the providing unit 13 includes an advertisement providing unit 130-1, a harvest information providing unit 130-2, and an income information providing unit 130-3.

The advertisement providing unit 130-1 provides advertisements for agricultural supplies and agricultural support services to farmers. Specifically, the advertisement providing unit 130-1 sends agricultural goods and agricultural products to the farmer terminal 30 via the communication network 50 based on the analysis result of the analysis unit 121 analyzing products and services necessary for farm operation. Provide advertisements for support services.

Furthermore, the advertisement providing unit 130-1 provides advertisements regarding agricultural supplies and agricultural support services that are inferred to be necessary or of interest to farmers.

Further, the advertisement providing unit 130-1 provides the countermeasure plan generated by the countermeasure unit 125 to the farmer terminal 30 via the communication network 50.

The harvest information providing unit 130-2 provides farmers with information on the predicted farm yield.

The income information providing unit 130-3 provides farmers with information on estimated increase in yield when they introduce the advertised agricultural supplies and agricultural support services provided by the advertisement providing system 1 of the embodiment. do.

[Storage unit 14]
The storage unit 14, like the storage unit 40, can store various data, advertising information, and computer programs. The storage unit 14 has the same function as the storage unit 40 described later. The difference between the storage unit 40 and the storage unit 14 is that the storage unit 40 is a storage device constructed from a hard disk, semiconductor memory, etc., whereas the storage unit 14 is a cloud storage provided via the Internet. be. Therefore, the storage unit 14 can store various data, advertising information, and computer programs instead of the storage unit 40.

As explained above, at least the data acquired by the acquisition unit 11 or the data stored in the storage unit 40 is calculated by the calculation unit 12, and based on the calculated data, the provision unit 13 provides agricultural supplies and agricultural support. Provide advertisements for services to farmers. Next, a specific example of the functions and operations of the server 10 will be described below.

<Case 1>
As a first example, a case will be shown in which the cultivation type of the farm is a greenhouse, a sensor for measuring the environment is installed in the greenhouse, and the monitor logger 20 collects environmental data. First, the acquisition unit 11 acquires environmental data within the house from the monitor logger 20. For example, the acquisition unit 11 acquires environmental data indicating that the humidity inside the house is high from the monitor logger 20. Next, the analysis unit 122 analyzes that the humidity inside the house is changing at a high level. The first estimation unit 123-1 estimates that the cultivated crops are in a humid state based on the analysis that the humidity inside the greenhouse remains high. The first identifying unit 124-1 identifies an increase in the density of pathogen A as a limiting factor for the growth state, based on the assumption that the cultivated crops are in a humid state. Then, the countermeasure unit 125 examines countermeasures to improve the humid state of the cultivated crops based on the assumption that the cultivated crops are in a humid state, and generates countermeasures for changing the heating set temperature or ventilation temperature in the greenhouse. Before the first identification unit 124-1 identifies the limiting factor of the growth state, the analysis unit 121 analyzes the attribute data of the farmer, and the selection unit 127 selects the pathogen A identified as the limiting factor and the analyzed attribute. An advertisement for pesticide A that is effective against pathogen A is selected based on the data. Finally, the advertisement providing unit 130-1 transmits the advertisement for pesticide A and the countermeasure plan to the farmer terminal 30.

<Case 2>
Next, case 2 will be explained. Case 2 has the same cultivation form and cultivated crops as Case 1, but differs from Case 1 in that the humidity inside the greenhouse is low and dry.

The acquisition unit 11 acquires environmental data in the greenhouse from the monitor logger 20 when the cultivation mode is a greenhouse. Here, the acquisition unit 11 acquires environmental data indicating that the humidity inside the house is low. Next, the analysis unit 122 analyzes that the humidity inside the house is low. The first estimation unit 123-1 estimates that the cultivated crops are in a dry state based on the analysis that the humidity inside the greenhouse remains low. The first identification unit 124-1 identifies element deficiencies due to lack of water in the cultivated crops as a limiting factor for the growth condition, based on the assumption that the cultivated crops are in a dry state. Further, the countermeasure unit 125 also considers countermeasures for improving the dry state of the cultivated crops based on the estimation of the dry state of the cultivated crops, and generates countermeasures for changing the irrigation settings. Before the first identification unit 124-1 identifies the limiting factors for growth conditions, the analysis unit 121 analyzes the attribute data of the farmers, and the selection unit 127 selects element deficiencies identified as limiting factors, such as calcium deficiency, And based on the analyzed attribute data, advertisements for fertilizer A and foliar spray B that are effective for element deficiencies are selected. Finally, the advertisement providing unit 130-1 transmits advertisements and countermeasures for fertilizer A and foliar spray B to the farmer terminal 30.

<Case 3>
Next, case 3 will be explained. Case 3 differs from Case 1 in that the carbon dioxide concentration in the greenhouse is low.

The acquisition unit 11 acquires the environmental data in the greenhouse from the monitor logger 20 when the cultivation mode is a greenhouse. Here, as described above, environmental data indicating that the carbon dioxide concentration in the greenhouse is low is acquired. The analysis unit 122 analyzes that the carbon dioxide concentration in the greenhouse remains low. The first estimation unit 123-1 infers that the cultivated crops are not absorbing enough carbon dioxide due to a lack of carbon dioxide in the greenhouse, based on the analysis that the carbon dioxide concentration in the greenhouse remains low. . The first identifying unit 124-1 identifies a reduction in photosynthetic ability due to lack of carbon dioxide in cultivated crops as a limiting factor for growth conditions. Furthermore, the countermeasure unit 125 also considers countermeasures to improve the carbon dioxide shortage in cultivated crops based on the assumption that there is a carbon dioxide deficiency in cultivated crops, and generates a countermeasure to take in carbon dioxide through ventilation in the greenhouse. Before the first identifying unit 124-1 identifies the limiting factor of the growth state, the analyzing unit 121 analyzes the attribute data of the farmer, and the selecting unit 127 determines the decrease in photosynthetic ability identified as the limiting factor and the Based on the attribute data obtained, advertisements for kerosene-fired carbon dioxide generators are selected. Finally, the advertisement providing unit 130-1 transmits the advertisement for the kerosene-fired carbon dioxide generator and the countermeasure plan to the farmer terminal 30.

<Case 4>
Next, case 4 will be explained. In case 4, the cultivation form and cultivated crops are the same as in case 3, but the difference is that the carbon dioxide concentration in the greenhouse is high.

The acquisition unit 11 acquires the environmental data in the greenhouse from the monitor logger 20 when the cultivation mode is a greenhouse. Here, the acquisition unit 11 acquires environmental data indicating that the carbon dioxide concentration in the greenhouse is high, as described above. The analysis unit 122 analyzes that the carbon dioxide concentration in the greenhouse remains high. The first estimation unit 123-1 infers that the cultivated crops are not able to sufficiently absorb carbon dioxide in the greenhouse, based on the analysis that the carbon dioxide concentration in the greenhouse remains high. The first identification unit 124-1 determines that insufficient leaf area index (LAI) in the greenhouse is a limiting factor for the growth state, based on growth survey data of cultivated crops and insufficient carbon dioxide absorption of cultivated crops. Specify. The countermeasure unit 125 also considers countermeasures to improve the LAI shortage in the greenhouse based on the assumption that there is a shortage of LAI in the greenhouse, and generates a countermeasure to refrain from removing leaves. Before the first identification unit 124-1 identifies the limiting factor of the growth state, the analysis unit 121 analyzes the attribute data of the farmer, and the selection unit 127 analyzes the lack of LAI in the greenhouse that has been identified as the limiting factor. Nitrogen fertilizers and amino acid fertilizers are selected based on the attribute data obtained. Finally, the advertisement providing unit 130-1 transmits advertisements and countermeasures for nitrogen fertilizers and amino acid fertilizers to the farmer terminal 30.

<Case 5>
Next, case 5 will be explained. In case 5, the estimation result of the first specifying unit 124-1 is different from case 4. Conditions that are the same as or similar to Case 4 may be omitted from explanation.

The first identifying unit 124-1 identifies weakening of the root zone of the cultivated crop as a limiting factor for the growth state, based on the growth survey data of the cultivated crop and the insufficient absorption of carbon dioxide by the cultivated crop. Before the first identification unit 124-1 identifies the limiting factor of the growth state, the analysis unit 121 analyzes the attribute data of the farmer, and the selection unit 127 determines the weakening of the rhizosphere of the cultivated crop identified as the limiting factor. Nitrogen fertilizers and amino acid fertilizers are selected based on the analyzed attribute data. Finally, the advertisement providing unit 130-1 transmits advertisements and countermeasures for nitrogen fertilizers and amino acid fertilizers to the farmer terminal 30.

<Case 6>
Next, case 6 will be explained. In case 6, advertisements are provided based on attributes of farmers, farm equipment, and farm management status.

First, the acquisition unit 11 acquires environmental data in the greenhouse from the monitor logger 20 when the cultivation mode is a greenhouse. Here, the acquisition unit 11 acquires environmental data including the amount of solar radiation, and the analysis unit 121 acquires the environmental data of the amount of solar radiation accumulated in the storage unit 14 or the storage unit 40, as well as farmer's attributes and farm equipment information. Analyze the data. The analysis unit 121 determines that the covering material A transmits light energy of the cumulative amount of solar radiation x [MJ/m ² ] after being expanded, based on the fact that the covering material A used for the house has been in use for four years. It was analyzed that The second estimating unit 123-2 calculates the light transmittance of the covering material A after expansion based on the number of years of use of the covering material A and the transmission of light energy of the cumulative solar radiation after expansion x [MJ/m ² ] analyzed. It is estimated that the rate has dropped from 70% to 52%. Furthermore, the second estimating unit 123-2 estimates that the effect of inhibiting pest intrusion is decreasing due to the deterioration of the covering material A. The first identifying unit 124-1 identifies the deterioration of the covering material A as the limiting factor for the growth state, based on the growth survey data of the cultivated crops and the decrease in the light transmittance of the covering material A.

Next, the selection unit 127 selects optimal agricultural supplies and agricultural support services based on the limiting factors of the growth status of the cultivated crops and the farm management status data, which is the attribute of the farm worker. For example, as described above, if the financial situation of the farm is sufficient to withstand the complete replacement of the covering material A, the selection unit 127 selects the covering material B for completely replacing the greenhouse; If it is not suitable to completely replace A, select cleaning equipment A made of inexpensive covering material. Finally, the advertisement providing unit 130-1 transmits an advertisement for the covering material B or the cleaning equipment A for the covering material to the farmer terminal 30. At this time, the advertisement providing unit 130-1 can transmit the advertisement at the optimal time for the crop to be cultivated, based on the analysis results of the cultivation information of the farm data and the environmental data by the analysis unit 121. Furthermore, depending on the attributes of the farmer, the advertisement providing unit 130-1 can transmit not only advertisements for agricultural supplies but also advertisements for agricultural support services such as human resources provision.

Here, the third estimating section 123-3 of the estimating section 123 can also estimate the amount of increase in yield after the introduction of agricultural goods and agricultural support services advertised as provided by the advertisement providing system 1 of this embodiment. The third estimating unit 123-3 estimates the farm's yield increase based on the predicted cash flow when introducing the agricultural supplies and agricultural support services in the advertisement predicted by the second estimating unit 126-2, which will be described later. At this time, the third estimating unit 123-3 calculates, for example, the predicted cash in the case of purchasing covering material B for completely replacing a farmer's greenhouse and in the case of purchasing inexpensive covering material cleaning equipment A. Flows can be used to infer changes in financial status. The income information providing unit 130-3 transmits information on changes in financial conditions, such as estimated predicted cash flow and increased yield, to the farmer terminal 30.

<Case 7>
Next, case 7 will be described in which advertisements are provided based on the attributes of farmers and the state of farm management.

First, Case 7 will be explained using the following agricultural worker attribute data and farm data.
Age: 62 years old Cultivation area: Kochi Prefecture Cultivation crop: Large tomatoes Cultivation type: Facility horticulture, etc. The analysis department 121 analyzes the above data, and from this data, the analysis department 121 selects agricultural materials for soil preparation and agricultural support. We analyzed that the service was most suitable for this farmer's cultivation situation. In the case of other farmers who have the same cultivation area, cultivated crops, and cultivation type data but are younger, the analysis unit 121 uses the above data to determine the amount of agricultural materials and agricultural equipment invested in to automate various cultivation equipment. We analyzed that the support services are most suitable for this young farmer's cultivation situation. In this way, by analyzing a farmer's attribute data and farm data based on the analysis of other farmers' attribute data and farm data, it is possible to see different trends in the farmer's optimal product.

Finally, the advertisement providing unit 130-1 belonging to the providing unit 13 provides the 62-year-old farmer's terminal 30 with an advertisement for fertilizer from a material sales agency in Kochi Prefecture, which is the cultivation area.

As described above, the server 10 can select products and services necessary for farm operation using the acquisition unit 11, the calculation unit 12, the provision unit 13, and the storage unit 14 and provide them to farmers.

[Storage unit 40]
The storage unit 40 includes a first storage unit 410 and a second storage unit 420, as shown in FIG. The first storage unit 410 can store information input by a farmer through the terminal 30, data and information input from the monitor logger 20, and advertisement data. The second storage unit 420 can store data stored in the first storage unit 410, data calculated by the calculation unit 12 of the information server 10, and data further calculated from the calculated data.

The first storage unit 410 includes a farmer attribute database 410-1, a farm database 410-2, a farm environment database 410-3, a cultivated crop database 410-4, an advertisement database 410-5, and a history database 410-6. .

The farmer attribute database 410-1 includes profile data and business status data of farmers. Profile data of farmers includes, for example, gender, age, years of farming, number of workers, etc., and business status data includes financial information, sales results, yield results, etc.

The farm database 410-2 includes equipment information data, agricultural machinery information data, and cultivation information data. The equipment information data includes, for example, cultivation form, cultivation area, cultivation region, equipment specifications, and the like. The agricultural machinery information data includes the type, performance, age of use, etc. of the agricultural machinery. The cultivation information data includes, for example, variety, fertilizer information, and the like.

The farm environment database 410-3 includes field internal environment data, equipment material data, external environment data, etc. obtained from the monitor logger 20. The internal environment data includes, for example, temperature, humidity, carbon dioxide concentration, solar radiation, medium moisture, and the like. For example, when the cultivation form is a greenhouse, the equipment material data includes the initial transmittance of the covering material of the greenhouse, the deterioration rate of the covering material, and the like. The external environment data includes PM2.5 distribution, pollen distribution, temperature, humidity, and the like.

The cultivated crop database 410-4 includes growth survey data surveyed by farmers. The growth survey data includes stem diameter, number of flowers, number of fruits, yield data, etc. of cultivated crops.

The advertisement database 410-5 includes agricultural supplies data on agricultural supplies that are necessary for farm operation and information on agricultural support services. Agricultural supplies data includes, for example, advertisements such as equipment and materials data, agricultural machinery data, and cultivation materials data, and equipment and materials data includes information such as consumable materials, deteriorated materials, and their market prices. The agricultural machinery data includes information such as various agricultural machinery, agricultural machinery consumable materials, agricultural machinery deteriorated materials, and their market prices. Cultivation material data includes information such as fertilizers, insect repellents, and their market prices. Agricultural support service data includes information on staff dispatch, work agency, agricultural machinery rental, their market prices, countermeasures, etc.

The history database 410-6 includes a farmer's system usage history, browsing history, purchase history of agricultural supplies and agricultural support services, and the like.

The first storage unit 410 includes a farmer attribute database 410-1 of one farmer, a farm database 410-2, a farm environment database 410-3, a cultivated crop database 410-4, an advertisement database 410-5, and a history database 410. -6 included. Although FIG. 7 shows an example of one farmer, the first storage unit 410 can also store data of at least one other farmer other than the farmer. For example, as shown in FIG. 8, the profile database 4101 stores a plurality of farmer attribute databases 410-1-1 and a plurality of farmer attribute databases 410-1-2. Further, for example, as shown in FIG. 9, the farm database 4102 stores farm databases 410-2-1 and 410-2-2 of a plurality of farmers. Similarly, the first storage unit 410 can store data on a plurality of farmers in the farm environment database 410-3, cultivated crop database 410-4, and history database 410-6.

The second storage unit 420 includes an analysis database 420-1, an analysis database 420-2, a guess database 420-3, a specific database 420-4, a countermeasure database 420-5, a prediction database 420-6, and a selection database 420-7. . The analysis database 420-1 stores data analyzed by the analysis unit 121. The analysis database 420-2 stores data analyzed by the analysis unit 122. The guess database 420-3 stores data guessed by the guesser 123. The specific database 420-4 stores data specified by the specifying unit 124. The countermeasure database 420-5 stores data on countermeasure plans generated by the countermeasure unit 125. The prediction database 420-6 stores data predicted by the prediction unit 126. The selection database 420-7 stores data selected by the selection unit 127.

[Flowchart where advertisements for agricultural supplies and agricultural support services are provided]
Next, a method for providing advertisements for agricultural supplies and agricultural support services according to an embodiment of the present invention will be described with reference to FIGS. 10 to 15. The advertisement providing system 1 causes the server 10 to execute each process.

FIG. 10 is a flowchart illustrating the flow of processing in which advertisements for agricultural supplies and agricultural support services are provided. First, the acquisition unit 11 acquires environmental data from the monitor logger 20 (step S110).

Next, the analysis unit 121 analyzes the environmental data (step S120).

Next, the analysis unit 121 analyzes the farmer attribute data (step S130).

Next, the analysis unit 121 analyzes agricultural supplies and agricultural support services based on the analyzed environmental data and agricultural worker attribute data (step S140).

Finally, the advertisement providing unit 130-1 transmits an advertisement for agricultural supplies and agricultural support services to the farmer's terminal 30 via the communication network 50 based on the analyzed agricultural supplies and agricultural support services (step S150).

The above is the sequence of steps in which advertisements for agricultural supplies and agricultural support services are provided.

FIG. 11 is a flowchart illustrating the flow of processing in which information on the predicted yield of a farm is provided.

In the process of providing information on the predicted yield of the farm, step S135 of predicting the yield of cultivated crops is executed between step S130 and step S140 shown in FIG. Specifically, based on the environmental data and the farmer's attributes obtained by the acquisition unit 11, and at least one information on the farm's cultivation form, cultivation area, and cultivated crops, which are the farmer's farm data, The first prediction unit 126-1 predicts the harvest amount of the farm (step S135).

Finally, the advertisement providing unit 130-1 and the harvest information providing unit 130-2 respectively receive advertisements for agricultural supplies and agricultural support services analyzed by the analysis unit 121, and the farm yield predicted by the first prediction unit 126-1. information is transmitted to the farmer's terminal 30 via the communication network 50 (step S150).

The processes from step S110 to step S130 and from step S140 to step S150 are the same as the process described with reference to FIG. 10, so a detailed explanation will be omitted.

The above is a series of processing steps in which information on the predicted yield of the farm is provided.

FIG. 12 is a flowchart illustrating a process flow in which advertisements for agricultural supplies and agricultural support services are provided based on limiting factors of growing conditions and attributes of farmers.

The process of providing advertisements for agricultural goods and agricultural support services based on limiting factors of growth conditions and attributes of farmers includes step S110 and step S120 shown in FIG. 11 in addition to the steps shown in FIG. Step S115 for analyzing environmental data is executed between step S130 and step S135, step S132 for estimating the growth status of cultivated crops is executed between step S135 and step S140, and step S132 for estimating the growth status of cultivated crops is executed between step S135 and step S140. Step S137 for identifying limiting factors is executed, and step S145 for selecting agricultural supplies and agricultural support services is executed between step S140 and step S150.

First, step S110 is executed, and then the analysis unit 122 analyzes the acquired environmental data (step S115).

Next, steps S120 and S130 are executed, and the first estimation unit 123-1 estimates the growth status of cultivated crops based on the analyzed data and the attributes of the farmer (step S132).

Next, step S135 is executed, and the first specifying unit 124-1 specifies limiting factors for the growth status of the cultivated crops based on the predicted yield and the estimated growth status (step S137).

Next, the selection unit 127 selects optimal agricultural supplies and agricultural support services based on the limiting factors of the growth status of cultivated crops and the attributes of farm workers (step S145).

Finally, the advertisement providing unit 130-1 and the harvest information providing unit 130-2 send advertisements for the selected agricultural supplies and agricultural support services and information on the predicted farm yield to farmers through the communication network 50. the user's terminal 30 (step S150).

The processes in step S110, step S120, step S130, step S135, step S140, and step S150 are the same as the process explained in FIG. 11, so detailed explanations will be omitted.

The above is a series of processing steps in which advertisements for agricultural supplies and agricultural support services are provided based on the limiting factors of growing conditions and the attributes of farmers.

FIG. 13 is a flowchart illustrating a process flow in which advertisements for agricultural supplies and agricultural support services are provided based on the degree of deterioration of farm equipment and materials.

The process of providing advertisements for agricultural supplies and agricultural support services based on the degree of deterioration of farm equipment and materials includes determining the degree of deterioration of farm equipment and materials between step S130 and step S140 shown in FIG. A step S131 of estimating is executed, and a step S145 is executed between steps S140 and S150.

First, these steps are executed in the order of step S110, step S120, and step S130.

Next, the second estimation unit 123-2 estimates the degree of deterioration of the equipment and materials installed on the farm based on the environmental data and the attributes of the farmer (step S131).

Next, steps S140, S145, and S150 are executed in this order.

The processes from step S110 to step S130 and from step S140 to step S150 are the same as the process described with reference to FIG. 10, so a detailed explanation will be omitted.

The above is a series of processing steps in which advertisements for agricultural supplies and agricultural support services are provided based on the degree of deterioration of farm equipment and materials.

FIG. 14 is a flowchart illustrating a process flow in which advertisements for agricultural supplies and agricultural support services are provided based on the limiting factors of farmers' business conditions and the analyzed products and services necessary for farm operation. .

The process of providing advertisements for agricultural supplies and agricultural support services based on the limiting factors of the farmer's business situation and the analyzed products and services necessary for farm operation includes, in addition to performing the steps shown in FIG. , step S115 is executed between step S110 and step S120 shown in FIG. 10, and steps S143 and 145 are executed between step S140 and step S150. Moreover, step S143 is executed after step S111 and step S112 are executed.

First, step S110, step S115, step S120, step S130, and step S140 are executed.

Further, at the same time as these steps or before step S145 is executed, the analysis unit 121 analyzes the attributes of the farmer, the attributes of at least one other farmer other than the farmer, and the farm. The second identifying unit 124-2 analyzes the data (step S111), and based on the attributes of the analyzed farmer, the attributes of at least one other farmer other than the farmer, and farm data. The limiting factors of the farmer's business situation are identified (step S112).

Next, the selection unit 127 selects the most suitable agricultural supplies and agricultural support services for the farmer based on the identified limiting factors of the farmer's business situation and the analyzed agricultural supplies and agricultural support services (step S145).

Next, advertisements for the selected agricultural supplies and agricultural support services are transmitted to the farmer's terminal 30 via the communication network (step S150).

The processing from step S110 to step S140 is the same as the processing explained in FIG. 10, so detailed explanation will be omitted.

The above is a series of processing steps in which advertisements for agricultural supplies and agricultural support services are provided based on the limiting factors of farmers' business conditions and the analyzed products and services necessary for farm operation.

FIG. 15 is a flowchart illustrating the flow of processing in which farmers are provided with information on estimated yield increases and predicted cash flows.

In the process of providing information on the farmer's estimated yield increase and predicted cash flow, step S147 and step S149 are executed between step S145 and step S150 shown in FIG.

First, as shown in FIG. 15, steps are executed from step S110 to step S145 and from step S111 to step S112.

Next, the second prediction unit 126-2 predicts the cash flow when introducing the selected agricultural supplies and agricultural support services (step S147).

Next, the third estimation unit 123-3 uses the predicted cash flow to estimate the amount of increase in farm yield after introducing agricultural supplies and agricultural support services (step S149).

Finally, the advertisement providing unit 130-1 and the income information providing unit 130-3 respectively provide information on the predicted cash flow and information on the estimated increase in yield to the farmer's terminal 30 via the communication network (step S150).

The processes from step S110 to step S145, from step S111 to step S112, and from step S145 to step S150 shown in FIG. 14 are the same as the processes described in FIG. 14, and therefore detailed description will be omitted.

As explained above, the advertisement providing system 1 can provide agricultural supplies and agricultural support services according to the cultivation situation and the attributes of the farmer. Further, since the advertisement providing system 1 is based on data of a plurality of farmers, biased data based on a single farmer can be removed. As a result, even farmers with little agricultural experience or know-how can improve the productivity and quality of cultivated crops.

Even if there are other effects that are different from those brought about by the aspects of each of the embodiments described above, those that are obvious from the description of this specification or that can be easily predicted by a person skilled in the art will naturally be included. It is understood that this is brought about by the present invention.

1: Advertisement provision system, 10: Server, 11: Acquisition unit, 12: Calculation unit, 13: Provision unit, 14: Storage unit, 20: Monitor logger, 30: Terminal, 40: Storage unit, 50: Communication network, 121 : analysis section, 122: analysis section, 123: estimation section, 123-1: first estimation section, 123-2: second estimation section, 123-3: third estimation section, 123-4: fourth estimation section, 124: Specification part, 124-1: First identification part, 124-2: Second identification part, 124-3: Third identification part, 125: Countermeasure part, 126: Prediction part, 126-1: First prediction part , 126-2: Second prediction section, 127: Selection section, 130-1: Advertisement provision section, 130-2: Harvest information provision section, 130-3: Income information provision section, 410: First storage section, 410- 1: Farmer attribute database, 410-1-1: Farmer attribute database, 410-1-2: Farmer attribute database, 410-2: Farm database, 410-2-1: Farm database, 410- 2-2: Farm database, 410-3: Farm environment database, 410-4: Cultivated crop database, 410-5: Advertisement database, 410-6: History database, 420: Second storage unit, 420-1: Analysis database , 420-2: analysis database, 420-3: guess database, 420-4: specific database, 420-5: countermeasure database, 420-6: prediction database, 420-7: selection database, 4101: profile database, 4102: farm database

Claims (7)

an environmental data acquisition department that acquires environmental data of farmers' farms over time;
an analysis unit that analyzes information required by the farmer to operate the farm;
an advertising provision department that provides advertisements regarding agricultural supplies and agricultural support services to the farmers;
The environmental data of the farm collected by the environmental data acquisition unit, the attributes of the farmers, the cultivation form of the farm, the cultivation area, information regarding cultivated crops, and advertisement data regarding the agricultural supplies and agricultural support services are stored. a storage unit;
The analysis unit analyzes products and services necessary for the operation of the farm from the environmental data and attributes of the farmer stored in the storage unit,
The advertisement providing unit provides advertisements for the agricultural supplies and agricultural support services to the terminals of the farmers via a communication network based on the results of the analysis.
Advertisement serving system. a first prediction unit that predicts the yield of the farm based on the environmental data, the attributes of the farmer, and at least one information on the cultivation type, cultivation area, and cultivated crops of the farm;
further comprising a harvest information providing unit that provides the information obtained by the first prediction unit to the farmer;
The advertisement providing system according to claim 1. an analysis department that analyzes the environment of the farm based on the environmental data;
a first estimation unit that estimates the growth status of the cultivated crops based on the analyzed data and the attributes of the farmer;
a first identifying unit that identifies limiting factors of the growth situation based on the harvest amount and the estimated growth situation;
further comprising a selection unit that selects the agricultural supplies and agricultural support services based on the limiting factors and the attributes of the farmer;
The advertisement providing unit provides advertisements for the agricultural supplies and agricultural support services to the terminal of the agricultural worker via a communication network based on the selection by the selection unit.
The advertisement providing system according to claim 2. The advertisements for agricultural supplies and agricultural support services include agricultural materials, agricultural machinery, equipment materials, work agency, and temporary staffing.
The advertisement providing system according to claim 3. a second estimation unit that estimates the degree of deterioration of equipment and materials installed on the farm based on the environmental data and the attributes of the farmer;
further comprising a selection unit that selects the agricultural supplies and agricultural support services based on the estimated degree of deterioration and the attributes of the farmer;
The provision of the advertisement provides advertisements for the agricultural supplies and agricultural support services to the terminal of the agricultural worker via a communication network based on the selection by the selection unit.
The advertisement providing system according to claim 1. The storage unit includes a profile database in which attributes of the farmer and attributes of at least one other farmer other than the farmer are recorded,
The storage unit includes a farm database in which a farm database of the farmer and a farm database of at least one other farmer other than the farmer are recorded,
The attributes of the agricultural worker and the attributes of at least one other agricultural worker other than the agricultural worker include information regarding age, gender, years of agricultural work, financial information, sales performance, and yield performance,
The farm database of the farmer and the farm database of at least one other farmer other than the farmer includes information on farm equipment, agricultural machinery, and cultivated crops,
a second identification unit that identifies limiting factors in the management status of the farmer based on the analyzed farmer's attribute data and farm data;
further comprising a selection unit that selects the agricultural supplies and agricultural support services based on the limiting factors and the results of the analysis;
The advertisement providing unit provides advertisements for the agricultural supplies and agricultural support services to the terminal of the agricultural worker via a communication network based on the selection by the selection unit.
The advertisement providing system according to claim 1. a second prediction unit that predicts a predicted cash flow upon introduction of the agricultural supplies and agricultural support services in the advertisement;
further comprising a third estimating unit that uses the predicted cash flow to estimate an increase in yield after the introduction of the advertised agricultural supplies and agricultural support services;
providing information on the increased yield and the predicted cash flow to the farmer's terminal via a communication network;
The advertisement providing system according to claim 6.

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