JP2002215717A - Agricultural business support system - Google Patents

Abstract

(57) [Summary] [Problem] To provide more specific advice on agricultural technology such as a proposal for optimization of farmland for each farmland. SOLUTION: A data management center (1) having a database (16, 17, 18, 19) in which data on agriculture is stored.
5) and a remote terminal measuring device installed on farmland to collect farmland-specific measurement data (16) and send it to the data management center (15)
(1,2,3) and the analysis and analysis of the farmland measured data and the stored data sent to the data management center to analyze and analyze and provide advice on the optimization of the target farmland. Support software (23) and a computer network (2
2) Agriculture business support system.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an agricultural business support system for providing optimal advice on agricultural technology for optimizing agricultural land for each agricultural land owned by a farmer.

[0002]

2. Description of the Related Art Conventionally, in order to optimize farmland, the timing, location and amount of fertilizers and pesticides to be applied are determined because the environment such as weather and soil is different for each farmland. It was generally based on the years of personal experience of agricultural technicians.

[0003] A portable soil nutrient dynamic measurement system is commercially available for customers such as farmers. This system is installed on farms owned by farmers, collects weather data and soil data on the farms, and transmits them to farmers located in remote areas. As means for collecting the weather data, for example, a sensor for measuring wind direction, wind speed, solar radiation, temperature, temperature, rainfall, and the like is used. Means for collecting data on soil include soil pH (acidity or alkalinity), p
A soil buried sensor that measures F (water retention), conductivity, soil temperature, and the like is used. Further, as a communication method for transmitting the data, a mobile communication radio such as a mobile phone, a PHS, or a specific low-power radio is used. Power is supplied using solar panels. The data from the sensors is collected at predetermined intervals, recorded in the data logger unit, and transmitted to the farmer via a mobile communication radio via a modem. Farmers are determined based on the transmitted data when to feed fertilizer, water, pesticides, and the like, and take appropriate preventive measures against weather changes such as frost.

[0004] There is also a monitoring system that connects extremely small sensors installed on each farm land to the Internet wirelessly to enable data collection and direct operation from remote locations. This system predicts and warns of the occurrence of fog and disease from the collected data, and farmers take appropriate precautionary measures in response to those warnings.

[0005]

All of the above systems provide meteorological data or information on the occurrence of fog or disease for each farmland, and collectively collect these data. Build large databases that are managed or combined with other data, analyze them, and provide specific advice, such as determining the time, place and amount of fertilizers and pesticides to be input based on personal experience. Does not give.

[0006] It is an object of the present invention not only to provide farmers with data on each farmland, but also to provide specific advice on farming techniques such as a proposal for optimizing farmland for each farmland.

[0007]

In order to achieve the above object, the present invention provides a data management center having a database in which data related to agriculture is stored, and a data management center installed on farmland and collecting measurement data for each farmland. A remote terminal measuring device to be transmitted to the center, and a customer decision-making decision to analyze and analyze the farmland-based measurement data and the stored data transmitted to the data management center and provide optimization advice on the target farmland. An agricultural business support system comprising decision support software and a computer network for transmitting the advice to a customer is provided.

In the agricultural business support system,
The database related to agriculture may include weather observation data, farmer-specific personal data, and regional data in addition to the farmland-based measurement data. The measurement data for each farmland may include weather data for each farmland measured by the remote terminal measuring device and data indicating characteristics of soil of the farmland. Further, the data indicating the characteristics of the soil of the farmland may include soil temperature, soil humidity, pH, electric conductivity, reduction degree, and soil nutrient of the farmland. The above decision support software creates a connected device comprehensive monitoring table that displays the operation status of the remote terminal measuring device connected to the data management center,
By selecting a target measuring device in the connected device comprehensive monitoring table, a raw data monitoring table of the farmland-based measurement data collected by the target measuring device may be created. Further, the decision support software may create a weather monitoring table based on the raw data monitoring table. Further, the decision support software may create an event monitoring table based on the raw data monitoring table.

Further, the decision support software calculates the parameters of the weather data for each farmland and the weather observation data to calculate the evapotranspiration rate of the soil, and calculates the evapotranspiration rate of the soil and the water requirement of each crop. An algorithm for irrigation management may be calculated by combining the information with the regional characteristic information. Also, the decision support software combines the above-mentioned weather data for each farmland and weather observation data with data from customers including the season switching time of cultivated crops, the type of cultivated crops, and the history of cultivation processing, and the hatching status of pests. May be calculated.

[0010] Further, the advice may include a timing, a place, and an amount of the fertilizer or pesticide to be fed. Further, the advice may include a timing of switching cultivated crops in a specific farmland where a plurality of crops can be cultivated.
Further, the above advice may include history information of each farmland. Further, the area data may include three-dimensional map data. In addition, the database is divided into four major categories: measurement data by farmland, meteorological observation data, personal data by farmer, and regional data. The middle category is classified by area, and the small category is classified by prefecture. Classify,
It may be constructed by classifying each individual as the minimum classification.

[0011]

FIG. 1 shows an outline of an agricultural business support system according to the present invention. In FIG. 1, 1,
Reference numerals 2 and 3 denote remote terminal measuring instruments installed on the farm lands A, B and C, respectively. As shown in FIG. 2, each of the remote terminal measuring devices 1, 2, and 3 has a main body 4 and its main body 4
And a power supply 5 and a measurement sensor 6 which are externally connected to the power supply. As the power source 5, a battery or a solar cell can be used depending on the application. The measurement sensor 6 is a sensor for measuring basic measurement items such as soil temperature, soil humidity, electric conductivity, pH, and degree of reduction, which are required for soil management and require periodic observation, and 11 and a sensor 12 for measuring other measurement items. The measurement items include liquid temperature (water temperature), water level, wind direction, wind speed, atmospheric pressure, air temperature, solar radiation, photosynthesis, snow and snowfall, evaporation, snow depth, temperature, humidity, leaf moisture and soil nutrients. is there.

The main body 4 includes a mobile radio communication device such as a mobile phone, a PHS, a specific low power radio, a data logger and a GPS.
(Global Positioning System).
The mobile radio communication device transmits data acquired from the measurement sensor 6 to a data management center 15 via a mobile radio communication network 13 and a public switched telephone network (PSTN) 14, as shown in FIG. is there. The data logger records the measured data over time. The GPS is used to measure an accurate position of a farmland and record a highly accurate and detailed variation in data per farmland.

As shown in FIG. 1, the data management center 15 has four databases: a farmland-based measurement database 16, weather observation data 17, and a farmhouse-based personal database 18. Measurement database 1 by farmland
6 stores data acquired from the measurement sensor. The meteorological observation database 17 stores AMeDAS information such as temperature, wind, precipitation, sunshine duration, and temperature change. The farmer-specific personal database 18 stores names, addresses, the number of households, the area of owned farmland, contacts, cultivated crops, and the like. The regional database 19 stores three-dimensional map data.

Basically, the construction of the database is as follows.
The above four databases are classified into large categories, classified as middle categories by region (Kanto, Kansai, Tohoku, etc.), and further divided into smaller categories by prefecture (Saitama, Chiba, etc.), and each individual as the smallest category. It is done to classify it separately.

The data management center 15 establishes a homepage 20 and provides information on the stored data. The customer 21 can access the homepage 20 via the Internet 22 using a personal computer, a mobile phone, or the like to browse or download the stored data. The customer 21 is a corporation, a business entity, or an individual who receives a service provided by the agricultural business system of the present invention, and is generally a farmer or an agricultural cooperative engaged in agriculture. The stored data is transmitted via facsimile to a specific farmer or agricultural cooperative upon request.

The data management center 15 has decision support software 23. The decision support software 23 is for providing an optimization consulting service for making a proposal for optimizing the farmland in consideration of the past data of each farmland stored in the database. That is, the decision support software 23 analyzes / analyzes the past data of each farmland, and gives advice to the customer for the determination of the time, place and amount to be fed fertilizer or pesticide, in other words. And help the customer make decisions on those matters.

In the above-mentioned optimization consulting service, in addition to making an optimization proposal regarding the growing condition of the soil of the above-mentioned farmland, advance notification of agricultural disasters such as a notice of the occurrence of pests and a fog is provided. In addition, when two or more crops can be cultivated on the same farmland in one year such as double cropping or triple cropping, crop cultivation support such as giving advice on switching timing of cultivated crops is also provided. Further, according to a customer's request, the transition of each measurement data is indicated for a short time, or history information of the farmland is provided from the measurement data collected for each farmland over a long period. The customer can know the amount, type, etc. of the residual pesticide on the farmland from the history information of the farmland, thereby obtaining information such as what kind of crop the farmland is suitable for cultivating in the future. In addition, with respect to the crops cultivated on the farmland, it is possible to provide consumers with data that proves that the crops are safe crops by proper pesticide cultivation. This optimization consulting service is provided on the homepage 20 and downloaded to a customer's personal computer or the like, or transmitted via facsimile.

The decision support software 23 processes the data stored in the database in combination and outputs the data in various forms on a homepage. 3, 4,
5 and 6 show examples of these output forms. FIG. 3 is a data list output image, and FIG.
A graph output image based on this data list is shown. FIG. 5 is a map drawing output image in which these data lists are drawn on map data. In this map drawing output image, when the customer clicks on the location of the agricultural land of concern, the contents of the optimization consulting service as shown in FIG. 6 are displayed.

The contents of the optimization consulting service will be described in more detail with reference to FIG. FIG.
FIG. 3 is a schematic diagram of the decision support software 23, which includes a hardware / infrastructure area and a target area of the decision support software 23. In the hard / infrastructure area, 1, 2 and 3 are farmland A, as shown in FIG.
It is a remote terminal measuring instrument installed in B and C. The remote terminal measuring devices 1, 2, and 3 collect farmland-specific data according to a remote instruction from the data management center 15. The decision support software provided in the data management center 15
Information from these remote terminals is collected, processed and analyzed.

The decision support software creates a comprehensive monitoring table for connected devices that monitors the operation of the remote terminal measuring device connected to the data management center. This connected device comprehensive monitoring table displays an operation list of connected devices, that is, remote terminal measuring instruments. According to this list, the remote terminal measuring device 1 is operating, the remote terminal measuring device 2 is disconnected, and the remote terminal measuring device 3 is in a low battery state. When the target device is selected by clicking on the connected device comprehensive monitoring table, a raw data monitoring table is created from the raw data of the farmland-based measurement data measured by the remote terminal measuring device. This raw data monitoring table is a graph related to the raw data created based on the raw data, and is, for example, a temperature-days graph showing a change in temperature with respect to the date shown in FIG.

The decision support software further creates a weather monitoring table based on the raw data monitoring table. Examples of the weather monitoring table include a wind speed distribution table, a cumulative water temperature distribution table, and a table showing minimum / maximum / average values for each item. Further, the decision support software creates an event monitoring table as an application based on the raw data monitoring table.
This application is customizable and can be changed and modified according to customer requirements. For example, it displays crop development history, predicts the occurrence of pests, preliminarily predicts frost information, and manages irrigation. Furthermore, it is possible to efficiently use agricultural equipment by utilizing weather data, or to render complicated raw data on map information. For example, the raw data can be converted to an interface with GIS (Map Information System) data.
Rendering in three dimensions. Also, an alarm is notified when an event occurs via a PHS, a mobile phone, or the like.

In the application application of irrigation management, the evapotranspiration rate (ETo) of the soil is calculated based on weather parameters collected from other databases in addition to the weather data collected from the remote terminal measuring device. An algorithm for irrigation management is calculated by combining the evapotranspiration rate of the soil, the water requirement (kc coefficient) of each crop, and local characteristic information. Software for the new irrigation management techniques can be downloaded via the Internet.

In the application of the pest occurrence prediction application, the weather data collected from the remote terminal measuring device and the weather data from another database, the season switching time of the cultivated crop, the type of the cultivated crop (horticultural variety), the cultivation process The prediction is performed based on a combination of data obtained from the customer such as the history of the data. Specifically, the hatching status of the pest is calculated,
Instruct the type, dosage, and timing of the specific pesticide.
Prediction software for new pests is available for download via the Internet. For example, it can be obtained from the Hope page of the Agricultural Research Institute, Agricultural Cooperative, etc. established on the Internet.

The system for predicting pest occurrence can be applied to various pests of various crops. For example, "apple":
Apple rot, apple powdery mildew, “Tensai”: sugar beet,
There are spot disease, "hop": millet gray hair, "potato": potato citrus blight, "grape": millet gray hair, grape powdery mildew, and the like.

The contents of the homepage of the data management center provide sales information of recommended products such as agricultural chemicals, fertilizers, agricultural equipment and the like in addition to the above services. Further, based on the customer information stored in the database, sales information according to the customer's request is provided.

In the agricultural business system according to the present invention, in addition to the above services, if the acquired data exceeds a threshold value previously requested to be set to the data management center, the contact information of the personal database registered in the data management center is stored. A function may be provided for automatically notifying the user. Further, an electronic payment function may be provided.

[0027]

The present invention not only provides agricultural workers with data on each agricultural land, but also provides optimal advice on more specific agricultural techniques such as a proposal for optimization of agricultural land for each agricultural land. Farming business can be practiced without long-term accumulation of In addition, since the past data of each farmland is analyzed / analyzed and the history information of the farmland is provided, the consumer is provided with a rationale that the crop cultivated on the farmland is a safe crop by proper pesticide cultivation. Can provide data.

[Brief description of the drawings]

FIG. 1 is a diagram showing an outline of an agricultural business support system of the present invention.

FIG. 2 is an enlarged view of a remote terminal measuring device used in the agricultural business support system of FIG.

FIG. 3 is a diagram showing a data list output image.

FIG. 4 is a diagram showing a graph output image based on a data list.

FIG. 5 is a diagram showing a map drawing output image.

FIG. 6 is a diagram showing the contents of an optimization consulting service.

FIG. 7 is a schematic diagram of decision support software.

[Explanation of symbols]

 1, 2, 3 Remote terminal measuring device 4 Main body 5 Power supply 6 Measurement sensor 7 Soil temperature sensor 8 Soil humidity sensor 9 Electric conductivity sensor 10 pH sensor 11 Reduction degree sensor 12 Other sensors 13 Mobile wireless communication network 14 Public Telephone switching network 15 Data management center 16 Measurement database by farmland 17 Weather observation database 18 Personal data by farmhouse 19 Regional data 20 Homepage 21 Customers 22 Internet

──────────────────────────────────────────────────続 き Continued on the front page (51) Int.Cl. ⁷ Identification symbol FI Theme coat ゛ (Reference) G06F 17/30 170 G06F 17/30 170Z 180 180A 220 220Z (72) Inventor Yasue Nihei Otemachi, Chiyoda-ku, Tokyo 1-2-1 No.1 Mitsui & Co., Ltd. Telecom Division F-term (reference) 2B022 AA01 AB20 DA20 5B075 KK07 KK13 KK33 KK38 ND03 ND06 ND20 ND23 ND34 NR02 NR12 PP03 PP13 PP30 PQ02 PQ13 UU14

Claims (14)

[Claims] 1. A data management center having a database in which data on agriculture is stored, a remote terminal measuring device installed on farmland and collecting measurement data for each farmland and transmitting it to the data management center; A decision support software for a customer decision to analyze and analyze the transmitted farmland-specific measurement data and the accumulated data and to perform optimization advice on the target farmland, and a computer network for transmitting the advice to the customer Agricultural business support system consisting of: 2. The agricultural business support system according to claim 1, wherein the database includes weather observation data, farmer's individual data, and regional data in addition to the farmland-based measurement data. 3. The agricultural business support system according to claim 2, wherein the farmland-based measurement data includes farmland-based weather data measured by the remote terminal measuring device and data indicating characteristics of soil on the farmland. 4. The data indicating the characteristics of the soil of the agricultural land,
The agricultural business support system according to claim 3, further comprising soil temperature, soil humidity, pH, electric conductivity, reduction degree, and soil nutrient of the farmland. 5. The decision support software creates a comprehensive monitoring table of connected devices for displaying the operation status of the remote terminal measuring device connected to the data management center, and includes a target measuring device in the comprehensive monitoring table of connected devices. 2. The agricultural business support system according to claim 1, wherein the selection of (1) creates a raw data monitoring table of the measurement data for each agricultural land collected by the target measuring instrument. 6. The agricultural business support system according to claim 5, wherein the decision support software creates a weather monitoring table based on the raw data monitoring table. 7. The agricultural business support system according to claim 5, wherein the decision support software creates an event monitoring table based on the raw data monitoring table. 8. The decision support software calculates parameters of the farmland-specific meteorological data and the meteorological observation data to calculate an evapotranspiration rate of the soil, and calculates an evapotranspiration rate of the soil and a water requirement of each crop. The agricultural business support system according to claim 3, wherein an algorithm for irrigation management is calculated by combining the information with the regional characteristic information. 9. The decision support software combines the weather data for each farmland and the meteorological observation data with data from a customer including a seasonal switching time of cultivated crops, a type of cultivated crops, and a history of cultivation processing. 4. The agricultural business support system according to claim 3, wherein the hatching status of the fish is calculated. 10. The agricultural business support system according to claim 1, wherein the advice includes a timing, a place, and an amount of fertilizer or pesticide to be input. 11. The agricultural business support system according to claim 1, wherein the advice includes a timing of switching cultivated crops in a specific farmland where a plurality of crops can be cultivated. 12. The agricultural business support system according to claim 1, wherein the advice includes history information of each farmland. 13. The agricultural business support system according to claim 2, wherein the area data includes three-dimensional map data. 14. The database is divided into four major categories: measurement data by farmland, meteorological observation data, personal data by farmer, and regional data. 3. The agricultural business support system according to claim 2, wherein the system is classified by prefecture, and is constructed by classifying each individual as a minimum classification.