JP2001142888A - Data base system for aiding control of vermin - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an epoch-making data base system for aiding control of vermin capable of data mining of related information existent in each of dedicated individual data bases according to the purpose of control of vermin. SOLUTION: This system is provided with plural individual dedicated data bases of different bases such as control guideline for each of prefectures, farm products cultivation historys, vermin picture books and agricultural chemical list prepared for each individual dedicated purpose and use and a knowledge data base for retrieval capable of reference from all the above individual dedicated data bases concerning farm products names, vermin names and agricultural chemical names since descriptions are different sometimes even when words used for these data bases are homonym. Thus, such a data base system for aiding control of vermin enables data mining of related information existent in the above plural dedicated individual data bases according to the purpose of control of vermin.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION The present invention relates to a plurality of databases with different sources created for individual specialized purposes and uses, such as control guidelines, crop cultivation histories, pest illustrations, and pesticide overviews for each prefecture. The present invention relates to a pest control database system constructed as a database for general and practical purposes called "control work in agricultural work".

[0002]

2. Description of the Related Art Computers and network systems have become widespread in rural areas, but the reality is that communication infrastructure and hardware systems are mainly developed, and they have stepped into the way of work at production sites. No agricultural information system is provided. Most of the systems used on farmers' computers use financial and sales processes.
There are few uses of information on agricultural production other than livestock management systems.

[0003] On the other hand, the Nagano Prefectural Central Association, which runs the agricultural Internet in the prefecture area ahead of the whole country,
Mon) Questionnaire survey of farmers (1859/337)
According to (5 persons), the best five information you want to obtain using a personal computer or the like are market condition information, technical information, pest control information, weather information, and tax accounting information.

Considering that pests and crop physiology are greatly affected by the weather, and how to respond to pests and physiological disorders are important issues in agricultural technology, it is necessary for farmers to operate better. It is clear that information on pests and physiological disorders is strongly required.

[0005] Information such as pests and physiological disorders are systematically provided only by books such as agricultural pest illustrations or simply digitized data files. Moreover, looking at the content, most of the currently published works are mostly photographs of the terminal symptoms of damaged crops.
In addition, it has a specialized structure and is not easy for farmers to use.

According to a report by an agricultural improvement extension officer or a JA farming instructor, "A farmer has asked me to teach me how to easily judge pests. At present, it is difficult to judge what it is, and after all, we go to the farmer's field and verify the surrounding environment to make the judgment. "

[0007] On the other hand, it is difficult to use a computer having only a plurality of pest illustrations and the like even if it is simply possessed, and the background of the creator / estimated user differs according to each purpose. In some cases, notations may be different even when terms used are synonymous with terms in other databases.

[0008] Therefore, it is not possible to perform data mining on related information from individual factors existing in different databases.

Accordingly, the present invention has been made in view of the above-mentioned current situation, and simply describes the control guidelines of each prefecture, the cultivation history of crops, the pest pictorial book,
In addition to providing multiple specialized databases with different sources, such as pesticide catalogs, these are databases with different sources, so even if the terms used are synonymous, the notation may be different. Provide a search knowledge database that can be referred to from all the individual specialty databases for the names and pesticide names, and breakthrough in data mining related information present in a plurality of individual specialty databases for the purpose of pest control It provides a pest control database system.

[0010] In particular, the present invention relates to a "diagnosis system" for pests.
Rather, it aims to provide a "support information system" for diagnosis, in which all the basic and necessary data necessary for farmers to make business decisions are presented.

[0011]

The gist of the present invention will be described with reference to the accompanying drawings.

A plurality of individual specialized databases with different sources prepared for individual specialized purposes and uses, such as control guidelines, crop cultivation histories, pest illustrations, pesticide catalogs, etc. of each prefecture are provided. Notation may be different even if terms used are synonymous,
A search knowledge database that can be referred to from all of the individual specialized databases for crop names, pest names, and pesticide names is provided, and data mining of related information existing in a plurality of the individual specialized databases is carried out for the purpose of pest control. The present invention relates to a database system for supporting pest control which is characterized in that the database system is configured to be able to do so.

[0013]

BEST MODE FOR CARRYING OUT THE INVENTION Preferred embodiments of the present invention (how to implement the invention) will be briefly described with reference to the drawings, showing the operational effects thereof.

Individual specialized databases created for individual specialized purposes and uses, such as control guidelines, crop cultivation histories, pest illustrations, pesticide catalogs, etc., of each prefecture, are prepared according to different sources and different sources. Because the background of the creator and the assumed user is different, the notation may be different even if the term used is synonymous with the term in another database. Therefore, we created a dictionary of agricultural work terms that are referred to from all databases for crop names, pest names, and pesticide names, and unified the terms. In other words, by providing a search knowledge database for an individual specialized database, it becomes possible to associate data of a plurality of databases that are not directly related, which was not possible in the past.

As a result, all databases having a plurality of sources different from each other can be searched and used, effective utilization can be achieved, and related information can be mined from a plurality of sources at once with the purpose of supporting pest control.

[0016] In addition, the results of the research, which are generated from the necessity of the site and are subdivided into various fields, are integrated again at the stage where they are applied at the site, and the retrieval efficiency is improved as compared with the use of each individual specialized database. Think about it.

Each individual specialized database has systematic classifications such as crop classification, plant pathology, pest type, and pesticide chemical classification from each viewpoint, and these are reflected in the structure of the present system. As a result, a more flexible search that performs data mining on related information from individual factors existing in different databases can be realized.

For example, it is particularly effective to manage a list that belongs to the classification name of each component and to belong to a plurality of agricultural chemicals, rather than simply listing the product names containing the components that are effective for a certain pest. I believe that. Diseases and pests can also be classified according to the family of the affected crop.
A one-to-one, one-to-many, or many-to-many search can be performed in combination with the above-described pesticide classification.

In addition, W, which can be said to have become popular nowadays,
By using the web browser as a user interface, simple operation of the present system is realized. If the system can be connected to the system via a network, the system can be used without carrying a medium in which all data of the system is stored.

Thus, the present system can be used with mobile communication equipment without using a PC that is difficult to bring to the farm work site, and it is possible to perform a medical condition diagnosis and a corresponding operation without leaving the site.

[0021]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Specific embodiments of the present invention will be described with reference to the drawings.

Most of the conventional pest-related systems have been aimed at diagnosing diseases and pests.
It is almost impossible to make a diagnosis with software or a PC system without a specialist who has experience in cultivating the cultivation conditions and making a diagnosis.

For farmers'"managementsupport", a rich database of cultivation histories, knowledge bases on pests and biological physiology, control methods and technical workarounds, empirical rules, agricultural chemicals and materials created by experts It is desirable to use a database system that provides farmers and their supporters (extenders and instructors) with "judgment materials" by combining and presenting reciprocity with each other.

Therefore, the database system for supporting pest control according to the present invention requires the following, for example.

It is necessary for an expert who is familiar with the pests and physiological disorders of the crop to edit the data on the cultivation history of the crop. Photographs of pests and physiological disorders occurring in early, middle and late crops according to the cultivation history are required. Since the information is in the fields, it is necessary to provide information such as photographs throughout the year with the cooperation of farmers. Prefectural "pest control guidelines" data is required to address regional differences in agriculture.

It is necessary to have a control method that includes not using pesticides, and an overview and control standards for pesticides.

More specifically, paper media (literature,
"Cultivation stage (cultivation history)" provided individually only in documents, catalogs, etc.) as "Crop cultivation history", "Pest knowledge (physiological disorders)" as "Pest pictorial book", and "Pest, physiological How to deal with obstacles (Pest Control Law) "
The four individual specialized databases are created, with "Agricultural chemicals, usage standards, material list, data (agrochemicals / standards)" as "pesticide general information" and "pesticide, usage standard, material list, data (pesticide / standard)" as "pesticide control guidelines".

It can be used on a digitized computer. By providing search knowledge databases each of which can unify the respective terms of the four databases in a unified and searchable manner, the four databases are interconnected, and the “cultivation stage”, “pest knowledge (physiological disorders)”, “ Necessary information can be extracted from any of the "Pest Control Law" and "Pesticides, Standards". Rich in images and figures, easy to understand with visual information. The database of the "Pest Control Law" as the prefectural "Pest Control Guidelines" is a database with sufficient accuracy even for professional farmers and guidance organizations. By attaching a simplified version of the “Control Diary” as software, the “Food Labeling Standard” was revised since 2000.
It can be used as "certification" voucher data for the "organic farming certification system for agricultural products". It has a high affinity as a pest control and management support system, and it is possible to input the names of pests, pesticides, and materials that are difficult to input from the database with a mouse operation, and can also be used as a “farm work log”.

That is, in this embodiment, a database (DB) of “crop cultivation stage”, “knowledge of pests”, “pest control method”, and “pesticide / standard” is constructed from four sources.

The "cultivation stage" database is a database of the cultivation stage table and cultivation history for each crop (crop, cultivar, area), and cultivation technique points (texts) for each cultivation stage, and occurrences for each stage. A list of pests that are susceptible to enumeration (text) is made, and a standard composition is created from “cultivation history” for each crop. "Cultivation Stage Overview by Crop" is used as a reference (reference source).

Further, all the pest data are extracted from the "pest control guidelines" for each target crop and are handled.

The "pest knowledge" database is a database of outlines (texts), onset processes, characteristic points, photographs, diagrams, etc., using the names of diseases, pests, and physiological disorders as keys. Listed from the primary database of disabilities, and photos and figures are collected through "house light" by requesting experts.

Further, documents such as "Technical system: pest control" are used.

The "Pest Control Method" database contains information on diseases,
A database of pests, physiological disorders and organism names.
Includes pest control methods, cultivation technical measures, necessary chemicals, material names, auxiliary figures, and includes prefectural guidelines. In addition, based on the "Guidelines for pest control" and "Technical system", "Pest control method" is based on diseases, pests, physiological disorders and crops.
"Correspondence method" can be extracted.

Further, in this database, the difference in correspondence between prefectures is also added (text).

The "pesticide / criterion" database contains the name of a drug,
The material names are compiled into a database and include the name (registered name), component composition, target pest name, usage, application standard, manufacturer name, etc., and include prefectural guidelines.

In addition, the "Pest Control Guidelines" and "Agrochemical Directory"
A database is created based on sources such as drug names and material names as keys.

Since the terms used in these databases may have different notations even if they are synonymous, the search names that can be referred to from all the above-mentioned individual specialized databases for crop names, pest names, and pesticide names. A knowledge database is provided between the databases so that related information existing in each specialized database can be subjected to data mining for the purpose of pest control.

Specifically, in associating the “cultivation stage” with the “pest knowledge”, the “disease, pest, disorder name”
In the association between "knowledge of pests" and "pest control method", unify "disease, pest, disorder name and crop name", and link "pest control law" with "pesticide and standard". In the appendix, search knowledge databases for unifying “drugs and material names” are respectively constructed.

Therefore, a more flexible search that performs data mining of related information based on individual factors existing in four databases having different sources can be realized.

The specific procedure for constructing these databases is as follows. According to the “Guidelines for controlling pests”, all the diseases and pests are converted into scan data for each target crop, converted into a primary database, and a base record of the pest database is created. All the pesticides and materials described in the "Pest Control Guidelines" and target crops are converted into scan data, converted into a primary database, and a base record of the pesticide and reference database is created. Based on the primary pest database described above, an expert is requested to create the content data (text) of the “pest knowledge” database. In the “Guidelines for controlling pests,”
The varieties are extracted, a "cultivation stage, cultivation history" database is created with reference to the "cultivation stage list data", and the corresponding pest name, pesticide, and material name are registered unified in the cultivation history data. Based on the "Guidelines for Pest Control" and the literature on pest control methods, create a "Pest Control Method" database with the supervision of experts.

[0042]

Since the present invention is constructed as described above, it can be simply stated that the preservation guidelines of each prefecture, the cultivation history of crops, the pest book,
In addition to providing multiple specialized databases with different sources, such as pesticide catalogs, the terms used in these databases may have different notations even if they are synonymous. By providing a search knowledge database that can be referred to from all individual specialized databases, an innovative pest control database system that can perform data mining of related information existing in each specialized individual database for the purpose of pest control is provided.

The present invention can provide not only a "diagnosis system" for pests but also a "support information system" for diagnosis in which basic materials and related materials necessary for farmers to make business decisions are presented without exception. Becomes

[Brief description of the drawings]

FIG. 1 is an explanatory diagram illustrating a configuration outline of a present embodiment.

 ────────────────────────────────────────────────── ─── Continuing on the front page (72) Inventor Ryuichi Tagami F-term in 4 Village Net Co., Ltd. at 26 Higashiarai, Tsukuba City, Ibaraki Prefecture (Reference) 5B049 BB02 EE12 5B075 NK35

Claims (1)

[Claims] Claims: 1. Preventive guidelines for each prefecture, crop cultivation history,
Equipped with multiple individual specialized databases with different sources created for individual specialized purposes and uses such as pest illustrations and pesticide catalogs, and the notation is different even if the terms used in these databases are synonymous In some cases, a search knowledge database that can be referred to from all the above-mentioned individual specialized databases for crop names, pest names, and pesticide names is provided. A database system for controlling pests and pests, wherein data related to relevant information can be mined.