JP7218971B1 - Advertising system - Google Patents

Abstract

The present invention provides an advertisement providing system for selecting agricultural products and agricultural support services according to attributes of farmers. SOLUTION: In an advertisement providing system 1, an acquisition unit 11 acquires environmental data of a farm of a farmer over time. The calculation unit 12 stores the environmental data of the farm collected by the environmental data acquisition unit, the attributes of the farmers, the cultivation pattern of the farm, the cultivated area and the cultivated crops, and the data concerning advertisements regarding agricultural goods and agricultural support services. From the environmental data and attributes of the farmer stored in the storage unit 14, information required by the farmer to manage the farm is analyzed. The providing unit 13 provides advertisements of agricultural products and agricultural support services to the terminals 30 of agricultural workers via the communication network 50 based on the analysis results. [Selection drawing] Fig. 1

Description

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

In agricultural management, know-how based on many years of experience is required to accurately grasp the growing conditions of cultivated crops, select appropriate agricultural materials, and use them. For this reason, it is very difficult for farmers who have little experience in agriculture or no know-how to select the optimum agricultural supplies and agricultural support services based on the cultivation situation.

In such a situation, when receiving the order information of agricultural products from the orderer's terminal, the producer who can fulfill the order indicated in the order information so that the new agricultural worker can receive sufficient support. Generate a model, select producers that match or approximate the producer model from the producer database, collect multiple pieces of information necessary for those producers to fulfill orders, and accumulate information on agricultural production know-how An agricultural support system has been disclosed that extracts information from a know-how database, generates an information package that is a set of such information, and transmits the information package to the terminal of the producer (see Patent Document 1).

JP 2007-72787 A

However, conventional agricultural support systems only provide know-how based on a single producer model. There is no problem.

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide an advertisement providing system capable of providing useful information and support services even to farmers who are inexperienced in agriculture or who 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 farm of a farmer over time, an analysis unit that analyzes information required by the farmer to operate the farm, an agricultural Information on farm environmental data, attributes of farmers, farm cultivation patterns, cultivation areas, and cultivated crops collected by the Advertisement Distribution Department, which provides advertisements related to agricultural products and agricultural support services to farmers, and the Environmental Data Acquisition Department , and a storage unit storing data related to advertisements related to agricultural products and agricultural support services, and the analysis unit analyzes the products necessary for farm management from the environmental data and the attributes of farmers stored in the storage unit. and services, and an advertisement providing unit provides advertisements of agricultural products and agricultural support services to terminals of farmers through a communication network based on the results of the analysis.

It is a figure which shows the structure of the advertisement provision system which concerns on one Embodiment of this invention. 1 is a block diagram showing a configuration used in an advertisement providing system according to one embodiment of the present invention; FIG. 1 is a block diagram showing a configuration used in an advertisement providing system according to one embodiment of the present invention; FIG. 1 is a block diagram showing a configuration used in an advertisement providing system according to one embodiment of the present invention; FIG. 1 is a block diagram showing a configuration used in an advertisement providing system according to one embodiment of the present invention; FIG. 1 is a flow chart of an advertisement providing system according to one embodiment of the present invention; 1 is a flow chart of an advertisement providing system according to one embodiment of the present invention; 1 is a flow chart of an advertisement providing system according to one embodiment of the present invention; 1 is a flow chart of an advertisement providing system according to one embodiment of the present invention; 1 is a flow chart of an advertisement providing system according to one embodiment of the present invention; 1 is a flow chart of an advertisement providing system according to one embodiment of the present invention; 1 is a flow chart of an advertisement providing system according to one embodiment of the present invention; 1 is a flow chart of an advertisement providing system according to one embodiment of the present invention; 1 is a flow chart of an advertisement providing system according to one embodiment of the present invention; 1 is a flow chart of an advertisement providing system according to one embodiment of the present invention;

An embodiment of the present invention will be described below with reference to the drawings. The embodiments shown below are examples of embodiments of the present invention, and the present invention is not limited to these embodiments. In the drawings to which this embodiment refers, the same reference numerals or similar reference numerals may be assigned to the same parts or parts having similar functions, and repeated description thereof may be omitted.

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

[Outline of advertisement providing 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 is composed of a server 10 , a monitor logger 20 , a farmer terminal 30 and a storage section 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 description, the farmer terminal 30 is a terminal used by a specific farmer, and the specific farmer obtains information provided by the server 10 via the farmer terminal 30, and Information is provided to the server 10 via the farmer terminal 30 . Also, in the following description, a specific farmer who uses the farmer's terminal 30 will simply be referred to as a "farmer" unless otherwise specified.

The server 10 is a server that provides advertisements of agricultural goods and agricultural support services to farmers through the terminals 30 of farmers. The hardware configuration of the server 10 may be composed of a physical server or a virtual server. In the advertisement providing system 1, the server 10, for example, analyzes the environmental data obtained from the farm of the farmer (or the field that constitutes the farm), the attributes of the farmer, and the equipment information of the farm, and based on the analysis results, the farm Send advertisements to the farmer terminal 30 for the goods and/or services necessary for the operation.

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 farmer attributes 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 out data necessary for providing an advertisement from the data stored in the storage unit 40 , calculating the calculated data, and storing the calculated data in the storage unit 40 . Furthermore, as described above, the server 10 can transmit advertisements and information on products and services required for farm management selected based on the calculated results to the farmer terminals 30 .

[Monitor logger 20]
The monitor logger 20 is a cultivation monitoring device installed in fields such as greenhouse gardening and outdoor cultivation in agricultural management by farmers. Various sensors are connected to the monitor logger 20 . Environmental data for evaluating the state and environment of a field include, for example, temperature, humidity, carbon dioxide concentration, light intensity, sunshine hours, medium moisture content, soil pH, and the like. For measuring these environmental data, for example, temperature sensors, humidity sensors, carbon dioxide concentration sensors, light intensity sensors, daylight hours sensors, soil moisture sensors, soil pH sensors, etc. are used. Data measured by these sensors are stored as environmental data via the server 10 or directly in the storage unit 40 . The monitor logger 20 has a function of temporally acquiring data measured by various sensors installed in the field.

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

[Farmer terminal 30]
The farm worker terminal 30 is an electronic device having a communication function. Examples of the farm worker terminal 30 include a personal computer, a tablet terminal, or a smart phone. 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 receive the requested information from the server 10 . In addition, the farmer terminal 30 has a function of transmitting the input attribute of the farmer 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 to

The storage unit 40, which will be described in detail later, is a device that stores various data, advertisement information, and computer programs. The storage unit 40 is a storage device configured with a hard disk, semiconductor memory, or the like. The storage unit 40 has a memory space for storing data acquired by the monitor logger 20 and a memory space for storing various programs executed by the server 10 . The programs stored in the storage unit 40 include, for example, a program for executing conversion processing, which will 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. Also, each program may be provided to the storage unit 40 by the server 10 via the communication network 50 .

As described above, the storage unit 40 stores environmental data and cultivated crop growth survey data obtained by the monitor logger 20, as well as farmer attributes and farm data input to the farmer terminal 30. FIG. Further, the storage unit 40 stores data obtained by calculation 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 unit 11, a calculation unit 12, a provision unit 13, and a storage unit 14 as functional configurations.

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

[Calculation unit 12]
The calculation unit 12 includes an analysis unit 121, an analysis unit 122, an estimation unit 123, an identification 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 manage the farm. For example, from the environmental data stored in the storage unit 40 and the attributes of the farmer, the products and services necessary for the farmer to operate the farm are analyzed.

The analysis unit 121 can also analyze attribute data of farmers and farm data. The analysis unit 121 can further analyze the attribute data and farm data of at least one 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 the farm data.

Also, the analysis unit 121 analyzes the business situation from the financial information of the attributes of farmers, sales results, yield results, and the like. For example, the analysis unit 121 analyzes the farm manager's expenses, sales, and yield.

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

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

A first guessing part 123-1 of the guessing part 123 guesses the growth state of cultivated crops based on the environmental data analyzed by the analyzing part 122 and the attribute of the farmer.

The fourth guessing unit 123-4 guesses the farming support service required by the farmer from the analysis of the farmer's attribute and farm data and the history of the introduction of agricultural goods and farming support service. Also, the fourth estimation unit 123-4 estimates the agricultural goods and agricultural support services that the farmer is interested in from the analysis of the farmer's attributes and farm data and the introduction history of the agricultural goods and agricultural support services. For example, the fourth estimation unit 123-4 estimates agricultural goods and agricultural support services necessary for the farmer from the cultivation area of the farmer, the sales of the farm, the business scale such as the number of workers, and the like.

The identification unit 124, as shown in FIG. 4, includes a first identification unit 124-1, a second identification unit 124-2, and a third identification unit 124-3.

The first identifying unit 124-1 identifies limiting factors for the growth state of cultivated crops. The first specifying unit 124-1 restricts the growth state based on the yield of cultivated crops predicted by a first prediction unit 126-1 described later and the growth state of cultivated crops predicted by a first estimation unit 123-1. Identify factors.

The second identification unit 124-2 identifies limiting factors of farmer's business conditions. The second identification unit 124-2 identifies the limiting factor of the farmer's management situation based on the farmer's and other farmer's attribute data and the farm data analyzed by the analysis unit 121 .

The third identifying unit 124-3 identifies the advertisement of the most suitable agricultural goods and agricultural support services among the agricultural goods and agricultural support services that are inferred to be necessary or interesting for the farmer.

The countermeasure unit 125 considers the proposed countermeasure for improving the condition of the cultivated crops, for example, estimated by the first estimating unit 123-1, and generates the proposed countermeasure.

The prediction section 126 includes a first prediction section 126-1 and a second prediction section 126-2, as shown in FIG.

The first prediction unit 126-1 predicts the yield of a farmer's farm. The first prediction unit 126-1 is based on at least one information of the environmental data stored in the storage unit 40, the attribute of the farmer, the cultivation pattern of the farm, the cultivation equipment, its performance, and the cultivated crops. Predict yield.

The second prediction unit 126-2 predicts the cash flow generated when introducing the agricultural supplies and agricultural support services advertised by the advertisement providing system of the present 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. Predict cash flow when introducing agricultural supplies and farming support services advertised. For example, assuming that a farmer has introduced agricultural materials and agricultural machinery for advertisement provided by the advertisement providing system of this embodiment, the cash flow generated along with the introduction is predicted.

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

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

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

In addition, the advertisement provider 130-1 provides advertisements regarding agricultural goods and agricultural support services inferred to be necessary or of interest to farmers.

In addition, the advertisement providing unit 130-1 provides the countermeasure proposal generated by the countermeasure unit 125 to the farm worker terminal 30 via the communication network 50. FIG.

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

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

[Storage unit 14]
The storage unit 14 can store various data, advertisement information, and computer programs in the same manner as the storage unit 40 . The storage unit 14 has the same function as the storage unit 40 which will be 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, a semiconductor memory, or the like, while the storage unit 14 is a cloud storage provided via the Internet. be. Therefore, the storage section 14 can store various data, advertisement information, and computer programs in place of the storage section 40 .

As described 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. Specific examples of the functions and operations of the server 10 are now described below.

<Case 1>
As a case 1, a farm is cultivated in a house, a sensor for measuring the environment is installed in the house, and the monitor logger 20 collects environmental data. First, the acquisition unit 11 acquires environmental data in the house from the monitor logger 20 . For example, the acquisition unit 11 acquires from the monitor logger 20 environmental data indicating that the humidity in the house is high. Next, the analysis unit 122 analyzes that the humidity in the house remains high. The first estimation unit 123-1 estimates that the cultivated crops are in a high humidity state based on the analysis that the humidity in the house remains high. The first identification unit 124-1 identifies an increase in the density of pathogenic bacteria A as a limiting factor for the growth state, based on the assumption that the cultivated crop is in a humid state. Then, based on the assumption that the cultivated crops are in a humid state, the countermeasure unit 125 considers countermeasures for improving the humid state of the cultivated crops, and generates a countermeasure plan for changing the heating temperature setting or the ventilation temperature in the greenhouse. By the time 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 selects the pathogen A identified as the limiting factor Advertisement of pesticide A effective against pathogen A is selected based on the data. Finally, the advertisement providing unit 130-1 transmits the advertisement of the pesticide A and the countermeasure plan to the terminal 30 for farmers.

<Case 2>
Next, case 2 will be described. Case 2 differs from Case 1 in that the cultivation mode and cultivated crops are the same as those in Case 1, and 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 in the house is low. Next, the analysis unit 122 analyzes that the humidity in the house remains low. The first estimation unit 123-1 estimates that the cultivated crops are in a dry state based on the analysis that the humidity in the house remains low. Based on the assumption that the cultivated crop is in a dry state, the first identification unit 124-1 identifies element deficiency due to lack of water in the cultivated crop as a limiting factor for the growth state. The countermeasure unit 125 also considers a countermeasure plan for improving the dry condition of the cultivated crop based on the assumption that the cultivated crop is in a dry condition, and generates a countermeasure plan for changing the irrigation setting. Until the first identifying unit 124-1 identifies the limiting factor for the growth state, the analyzing unit 121 analyzes the attribute data of the farmer, and the selecting unit 127 detects element deficiency, such as calcium deficiency, which is identified as the limiting factor. And based on the analyzed attribute data, advertisements of fertilizer A and foliar spray B that are effective for element deficiency are selected. Finally, the advertisement providing unit 130 - 1 transmits the advertisement of the fertilizer A and the foliar spray B and the countermeasures to the farmer terminal 30 .

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

The acquisition unit 11 acquires 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 gas concentration in the house is low is acquired. The analysis unit 122 analyzes that the carbonic acid concentration in the greenhouse has remained low. Based on the analysis 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 the lack of carbon dioxide in the greenhouse. . The first identifying unit 124-1 identifies a decrease in photosynthetic capacity due to lack of carbon dioxide in cultivated crops and a limiting factor in the growth state. In addition, the countermeasure unit 125 also considers countermeasures for improving the lack of carbon dioxide in cultivated crops based on the assumption that the cultivated crops are in short supply of carbon dioxide, and generates a countermeasure proposal for taking in carbon dioxide through ventilation in the greenhouse. By the time 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, Advertisements for kerosene-fired carbon dioxide generators are selected based on the attribute data obtained. Finally, the advertisement providing unit 130-1 transmits the advertisement of the kerosene-fired carbon dioxide generator and the countermeasures to the farmer terminal 30. FIG.

<Case 4>
Next, case 4 will be described. Case 4 is the same as Case 3 in cultivation mode and cultivated crops, but differs in that the carbon dioxide gas concentration in the greenhouse is high.

The acquisition unit 11 acquires environmental data in the greenhouse from the monitor logger 20 when the cultivation mode is a greenhouse. Here, the acquiring unit 11 acquires environmental data indicating that the carbon dioxide gas concentration in the house is high as described above. The analysis unit 122 analyzes that the carbonic acid concentration in the greenhouse has remained high. Based on the analysis that the carbon dioxide concentration in the greenhouse remains high, the first estimation unit 123-1 infers that the cultivated crops are not absorbing enough carbon dioxide in the greenhouse. The first identification unit 124-1 determines that insufficient leaf area index (LAI) in the greenhouse is a limiting factor of the growth state based on the growth survey data of cultivated crops and the lack of carbon dioxide absorption of cultivated crops. and specify. The countermeasure unit 125 also considers a countermeasure plan for improving the LAI shortage in the house based on the assumption that the LAI is insufficient in the house, and generates a countermeasure plan for refraining from pruning. Until 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 analyzes the lack of LAI in the house identified as the limiting factor. Nitrogen fertilizers and amino acid fertilizers are selected based on the obtained attribute data. Finally, the advertisement providing unit 130-1 transmits the advertisement of nitrogen fertilizers and amino acid fertilizers and countermeasures to the terminal 30 for farmers.

<Case 5>
Next, case 5 will be described. Case 5 differs from Case 4 in the estimation result of first identifying unit 124-1. Conditions that are the same as or similar to Case 4 may be omitted for explanation.

The first identifying unit 124-1 identifies weakening of the rhizosphere of the cultivated crop as a limiting factor of the growth state based on the growth survey data of the cultivated crop and the lack of carbon dioxide absorption of the cultivated crop. By the time the first identifying unit 124-1 identifies the limiting factor for the growth state, the analyzing unit 121 analyzes the attribute data of the farmer, and the selecting unit 127 detects the weakening of the rhizosphere of the cultivated crop identified as the limiting factor. And based on the analyzed attribute data, nitrogen fertilizers and amino acid fertilizers are selected. Finally, the advertisement providing unit 130-1 transmits the advertisement of nitrogen fertilizers and amino acid fertilizers and countermeasures to the terminal 30 for farmers.

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

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 the 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, the attribute of the farmer, and the equipment information of the farm. Analyze the data. Based on the fact that the number of years of use of the covering material A used in the house has passed four years, the analyzing unit 121 determines that the covering material A transmits the light energy of the integrated solar radiation amount x [MJ/m ² ] after being spread. I analyzed that it was. The second estimation unit 123-2 calculates the light transmittance of the covering material A based on the number of years of use of the covering material A and the light energy transmission of the analyzed integrated solar radiation amount x [MJ/m ² ] after expansion. We estimate that it has dropped from the previous 70% to 52%. Further, the second estimation unit 123-2 estimates that the deterrence effect of pest invasion due to the deterioration of the covering material A has decreased. The first identification unit 124-1 identifies the deterioration of the covering material A as the limiting factor of 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 the optimum agricultural supplies and agricultural support services based on the limiting factors of the growing conditions of the cultivated crops and the management condition data of the farm, which are the attributes of the farm workers. For example, as described above, if the financial situation of the farm can withstand the full replacement of the covering material A, the selection unit 127 selects the covering material B for the full replacement of the house. If A is not suitable for full replacement, select A for cleaning, which is an inexpensive covering material. Finally, the advertisement providing unit 130-1 transmits an advertisement of the covering material B or the cleaning implement A of the covering material to the terminal 30 of the farmer. At this time, the advertisement providing unit 130-1 can transmit the advertisement at the optimum time for the cultivated crop based on the analysis result of the cultivation information of the farm data and the environmental data by the analysis unit 121. Further, depending on the attribute 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 provision of human resources.

Here, the third estimating unit 123-3 of the estimating unit 123 can also estimate the increase in revenue after the introduction of the agricultural goods and the agricultural support service in the advertisement provided by the advertisement providing system 1 of the present embodiment. The third estimation unit 123-3 estimates the increase in farm yield based on the predicted cash flow at the time of introduction of the agricultural supplies and agricultural support services advertised by the second prediction unit 126-2, which will be described later. At this time, the third estimating unit 123-3, for example, makes a prediction cache when purchasing the covering material B for the full replacement of the farmer's house and when purchasing the cleaning tool A for the inexpensive covering material. Flows can be used to infer changes in financial conditions. The income information providing unit 130-3 transmits to the farmer terminal 30 information on changes in financial conditions, such as estimated cash flow and increased yield.

<Case 7>
Case 7 will now be described in which advertisements are provided based on attributes of farmers and farm management status.

First, Case 7 will be explained using the following attribute data of farmers and farm data.
Age: 62 years old Cultivation area: Kochi Prefecture Cultivated crops: Ootama tomato Cultivation form: Greenhouse horticulture, etc. It is analyzed that the service is most suitable for the cultivation situation of this farmer. In the case of other agricultural workers who have the same cultivation area, cultivated crops, and cultivated form data but are younger, the analysis unit 121 determines, from the above data, agricultural materials and agricultural equipment for equipment investment for automation of various cultivation equipment. It was analyzed that the support service was most suitable for the cultivation situation of this young farmer. In this way, when analyzing the attribute data of farmers and the farm data based on the analysis of the attribute data of other farmers and the farm data, different tendencies can be seen in the optimal products of the farmers.

Finally, the advertisement providing unit 130-1 belonging to the providing unit 13 provides the terminal 30 of the 62-year-old farmer with an advertisement of the fertilizer of the material distributor in Kochi Prefecture, which is the cultivation area.

As described above, the server 10 can select products and services necessary for farm management by 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 the farmer via 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. .

Farmer attribute database 410-1 includes farmer profile data and business situation data. Profile data of farmers includes, for example, sex, age, years of farming, number of workers, etc. Business situation data includes financial information, sales results, yield results, and the like.

The farm database 410-2 includes equipment information data, agricultural machinery information data, and cultivation information data. The facility information data includes, for example, cultivation mode, cultivation area, cultivation area, equipment specifications, and the like. The agricultural machine information data includes the type, performance, years of use, etc. of the agricultural machine. Cultivation information data includes, for example, varieties, fertilizer information, and the like.

The farm environment database 410-3 includes field internal environment data, facility material data, external environment data, and the like obtained from the monitor logger 20. FIG. The internal environment data includes, for example, temperature, humidity, carbon dioxide gas concentration, amount of solar radiation, medium moisture content, and the like. For example, when the cultivation mode is a greenhouse, the facility 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.

Cultivated crop database 410-4 contains 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.

Advertisement database 410-5 includes agricultural goods data of agricultural goods necessary for farm operation and information on agricultural support services. Agricultural goods data includes, for example, advertisements such as facility material data, agricultural machinery data, cultivation material data, etc. Equipment material data includes information such as consumable materials, deteriorated materials, their market prices, and the like. Agricultural machinery data includes information such as various agricultural machinery, consumable materials for agricultural machinery, deteriorated materials for agricultural machinery, market prices thereof, and the like. Cultivation material data includes information such as fertilizers, insect repellents, and their market prices. The agricultural support service data includes information such as personnel dispatch, work agency, agricultural machine rental, their market prices, countermeasures, and the like.

The history database 410-6 includes a farmer's usage history of the system, browsing history, purchase history of farm supplies and farm 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. FIG. 7 shows an example of one farmer, but the first storage unit 410 can also store data of at least one farmer other than the farmer. For example, as shown in FIG. 8, profile database 4101 stores a plurality of farmer attribute databases 410-1-1 and 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 of a plurality of farmers in the farm environment database 410-3, the cultivated crop database 410-4, and the history database 410-6.

Second storage unit 420 includes analysis database 420-1, analysis database 420-2, guess database 420-3, specific database 420-4, countermeasure database 420-5, prediction database 420-6, and selection database 420-7. . The analysis database 420-1 stores data analyzed by the analysis unit 121. FIG. Analysis database 420-2 stores data analyzed by analysis unit 122. FIG. The guess database 420-3 stores the data guessed by the guessing unit 123. FIG. The identification database 420-4 stores the data identified by the identification unit 124. FIG. The countermeasure database 420-5 stores data of countermeasure proposals generated by the countermeasure unit 125. FIG. The prediction database 420-6 stores data predicted by the prediction unit 126. FIG. The selection database 420-7 stores data selected by the selection unit 127. FIG.

[Flowchart where advertisements for agricultural supplies and agricultural support services are provided]
The manner in which advertisements for agricultural products and agricultural support services according to one embodiment of the present invention are provided will now be described with reference to FIGS. 10-15. 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 goods 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 products and agricultural support services based on the analyzed environmental data and farmer attribute data (step S140).

Finally, the advertisement providing unit 130-1 transmits advertisements of agricultural goods and agricultural support services to the terminal 30 of the farmer via the communication network 50 based on the analyzed agricultural goods and agricultural support services (step S150).

The above is a sequence of how advertisements for agricultural products and agricultural support services are provided.

FIG. 11 is a flow chart illustrating the flow of processing for providing information on predicted yields of a farm.

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 steps S130 and S140 shown in FIG. Specifically, based on the environmental data and the attribute of the farmer obtained by the acquisition unit 11, and at least one information of the farm cultivation form, the cultivation area, and the cultivated crops, which are the farm data of the farmer, The first prediction unit 126-1 predicts the yield of the farm (step S135).

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

The processing from steps S110 to S130 and from steps S140 to S150 is the same as the processing described with reference to FIG. 10, so detailed description thereof will be omitted.

The above is a series of processing flows for providing information on the predicted yield of a farm.

FIG. 12 is a flowchart illustrating a process flow in which advertisements for agricultural supplies and agricultural support services based on growth condition limiting factors and farmer attributes are provided.

The process of providing advertisements for agricultural products and agricultural support services based on the limiting factors of growing conditions and the attributes of farmers includes steps S110 and S120 shown in FIG. 11 in addition to the execution of the steps shown in FIG. Between step S130 and step S135, step S132 of estimating the growth status of cultivated crops is performed, and between step S135 and step S140, step S115 of analyzing the environmental data is performed. A step S137 of identifying limiting factors is performed, and a step S145 of selecting agricultural products and agricultural support services is performed between steps S140 and 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 attribute of the farmer (step S132).

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

Next, the selection unit 127 selects the optimum agricultural supplies and agricultural support services based on the restrictive factors of the growing conditions of cultivated crops and the attributes of the farm workers (step S145).

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

The processing of steps S110, S120, S130, S135, S140, and S150 is the same as the processing described with reference to FIG. 11, so detailed description thereof will be omitted.

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

FIG. 13 is a flow chart illustrating the flow of processing for providing advertisements for agricultural products and agricultural support services based on the progress of deterioration of farm equipment and materials.

The process of providing advertisements for agricultural goods and agricultural support services based on the degree of deterioration progress of farm equipment and materials is performed by determining the degree of deterioration of farm equipment and materials between steps S130 and S140 shown in FIG. A guessing step S131 is performed, and a step S145 is performed between steps S140 and S150.

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

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

Next, these steps are executed in order of step S140, step S145, and step S150.

The processing from steps S110 to S130 and from steps S140 to S150 is the same as the processing described with reference to FIG. 10, so detailed description thereof will be omitted.

The above is a series of processing flows for providing advertisements for agricultural supplies and agricultural support services based on the progress of deterioration of farm equipment and materials.

FIG. 14 is a flow chart for explaining the flow of processing for providing advertisements for agricultural products and agricultural support services based on the limiting factors in the business conditions of farmers and the products and services necessary for farm management that have been analyzed. .

In addition to the execution of the steps shown in FIG. , step S115 is executed between steps S110 and S120 shown in FIG. 10, and steps S143 and S145 are executed between steps S140 and S150. Moreover, step S143 is performed after step S111 and step S112 are performed.

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

Also, simultaneously with these steps or before step S145 is executed, the analysis unit 121 analyzes the attributes of the farmer and the attributes of at least one farmer other than the farmer and the farm The data is analyzed (step S111), and the second identification unit 124-2 is based on the analyzed attribute of the farmer, the attributes of at least one farmer other than the farmer, and the farm data. (step S112).

Next, the selection unit 127 selects the optimum agricultural goods and agricultural support service for the farmer based on the identified limiting factor of the management situation of the farmer and the analyzed agricultural goods and agricultural support service (step S145).

Next, an advertisement for the selected agricultural goods and agricultural support service is transmitted to the terminal 30 of the farmer via the communication network (step S150).

Since the processing from step S110 to step S140 is the same as the processing described with reference to FIG. 10, detailed description thereof will be omitted.

The above is a series of processing flows for providing advertisements for agricultural products and agricultural support services based on the analyzed limiting factors of the business conditions of farmers and the products and services necessary for farm management.

FIG. 15 is a flow chart illustrating the flow of processing provided with information on a farmer's estimated yield increase and projected cash flow.

Steps S147 and S149 are executed between steps S145 and S150 shown in FIG.

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

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

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

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

Since the processing from step S110 to step S145, from step S111 to step S112, and from step S145 to step S150 shown in FIG. 14 is the same as the processing described in FIG. 14, detailed description thereof will be omitted.

As described above, the advertisement providing system 1 can provide agricultural supplies and agricultural support services according to cultivation conditions and attributes of farmers. In addition, 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 or no know-how in agriculture can improve the productivity and quality of cultivated crops.

Even if there are other effects different from the effects brought about by the aspects of each embodiment described above, those that are obvious from the description of this specification or those that can be easily predicted by those skilled in the art are of course It is understood that it is provided by the present invention.

1: Advertisement Providing 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 unit, 122: analysis unit, 123: estimation unit, 123-1: first estimation unit, 123-2: second estimation unit, 123-3: third estimation unit, 123-4: fourth estimation unit, 124: Identification Unit, 124-1: First Identification Unit, 124-2: Second Identification Unit, 124-3: Third Identification Unit, 125: Countermeasure Unit, 126: Prediction Unit, 126-1: First Prediction Unit , 126-2: second prediction unit, 127: selection unit, 130-1: advertisement provision unit, 130-2: harvest information provision unit, 130-3: income information provision unit, 410: first storage unit, 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 (5)

an environmental data acquisition unit that acquires environmental data of farms of farmers over time;
an analysis unit that analyzes the environment of the farm based on the environmental data;
an estimating unit for estimating the growth status of cultivated crops grown in the farm based on the analyzed data and the attributes of the farmer;
Yield yield of the farm based on the environmental data, the attributes of the farmer, and at least one piece of information on the farm cultivation type, the farm cultivation area, and the cultivated crops grown on the farm. a prediction unit that predicts
a harvest information providing unit that provides the farmer with the information obtained by the prediction unit;
an identifying unit that identifies a limiting factor for the growth status of the cultivated crop based on the harvest amount and the estimated growth status of the cultivated crop;
an analysis unit that analyzes information required by the farmer to operate the farm;
A selection unit that selects agricultural goods and agricultural support services to be provided to the farmers;
an advertisement providing unit that provides advertisements related to agricultural goods and agricultural support services provided to the farmers;
Environmental data of the farm collected by the environmental data acquisition unit, attributes of the farmer, cultivation form of the farm, cultivated area of the farm, information on cultivated crops cultivated on the farm , agricultural supplies and agriculture a storage unit in which advertising data of the support service is stored;
The analysis unit analyzes agricultural goods and agricultural support services necessary for operating the farm from the environmental data and the attributes of the farmer stored in the storage unit;
The selection unit, based on the limiting factor of the growth situation of the cultivated crops identified by the identification unit and the agricultural goods and agricultural support services necessary for the operation of the farm analyzed by the analysis unit, the farmer select agricultural supplies and agricultural support services to be provided to
The advertisement providing unit stores advertisements corresponding to the agricultural goods and agricultural support services to be provided to the farmers selected by the selecting unit in the advertisement data of the agricultural goods and agricultural support services stored in the storage unit. and providing it to the farmer's terminal via a communication network;
Ad serving system. The advertising data of agricultural goods and agricultural support services includes information on agricultural materials, agricultural machinery, equipment materials, work agency, and staffing,
The advertisement providing system according to claim 1. an environmental data acquisition unit that acquires environmental data of farms of farmers over time;
an analysis unit that analyzes the environmental data, the attributes of the farmer, and the equipment information data of the farm ;
an advertisement providing unit that provides advertisements related to agricultural goods and agricultural support services provided to the farmers;
Stores the environmental data of the farm collected by the environmental data acquisition unit, the attributes of the farmer, the cultivation pattern, cultivation area, and cultivated crops of the farm, and advertising data of agricultural products and agricultural support services . and
an estimating unit for estimating the progress of deterioration of the farm equipment and materials of the farm equipment based on the analysis result of the analyzing unit;
a selection unit that selects agricultural goods and agricultural support services to be provided to the farmer ;
The analysis unit uses the environmental data to analyze the state of the materials installed in the farm,
The analysis unit analyzes agricultural goods and agricultural support services necessary for operating the farm from the environmental data and the attributes of the farmer stored in the storage unit,
Agricultural supplies and agriculture provided by the selection unit to the farmers based on the degree of progress of deterioration estimated by the estimation unit and the agricultural supplies and agricultural support services necessary for operating the farm analyzed by the analysis unit select support services,
The advertisement providing unit stores advertisements corresponding to the agricultural goods and agricultural support services to be provided to the farmers selected by the selecting unit in the advertisement data of the agricultural goods and agricultural support services stored in the storage unit. and providing it to the farmer's terminal via a communication network;
Ad serving system. an environmental data acquisition unit that acquires environmental data of farms of farmers over time;
an analysis unit that analyzes information required by the farmer to operate the farm;
an advertisement providing unit that provides advertisements related to agricultural goods and agricultural support services provided to the farmers;
Stores the environmental data of the farm collected by the environmental data acquisition unit, the attributes of the farmer, the cultivation pattern, cultivation area, and cultivated crops of the farm, and advertising data of agricultural products and agricultural support services . and
an identifying unit that identifies a limiting factor of the farmer's management situation based on the analyzed attribute data of the farmer and the farm data;
a selection unit that selects agricultural goods and agricultural support services to be provided to the farmer;
The storage unit includes a profile database in which the attributes of the farmer and the attributes of at least one farmer other than the farmer are recorded,
The storage unit includes a farm database in which the farm database of the farmer and the farm database of at least one farmer other than the farmer are recorded,
The attributes of the farmer and the attributes of at least one other farmer other than the farmer include information on age, gender, years of farming, 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 include information on farm equipment, agricultural machinery, and cultivated crops;
The analysis unit analyzes agricultural goods and agricultural support services necessary for operating the farm from the environmental data and the attributes of the farmer stored in the storage unit;
Agriculture provided by the selecting unit to the most suitable farmer based on the limiting factor of the management situation of the farmer and agricultural goods and agricultural support services necessary for operating the farm analyzed by the analysis unit select supplies and agricultural support services;
The advertisement providing unit stores advertisements corresponding to the agricultural goods and agricultural support services to be provided to the farmers selected by the selecting unit in the advertisement data of the agricultural goods and agricultural support services stored in the storage unit. and providing it to the farmer's terminal via a communication network;
Ad serving system. a forecasting unit for forecasting expected cash flows upon introduction of agricultural supplies and agricultural support services provided to the farmer of the advertisement;
an estimation unit that uses the predicted cash flow to estimate an increase in yield after the introduction of agricultural goods and agricultural support services provided to the farmers in the advertisement;
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 4.

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