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A Web-Based Rice Plant Expert System Using Rule-Based Reasoning

Author(s): Anton Setiawan Honggowibowo

ISSN 1693-6930

Volume: 07;
Issue: 3;
Start page: 187;
Date: 2009;
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Keywords: backward chaining | forward chaining | rice plant | rule based reasoning

Rice plants can be attacked by various kinds of diseases which are possible to be determined from their symptoms. However, it is to recognize that to find out the exact type of disease, an agricultural expert’s opinion is needed, meanwhile the numbers of agricultural experts are limited and there are too many problems to be solved at the same time. This makes a system with a capability as an expert is required. This system must contain the knowledge of the diseases and symptom of rice plants as an agricultural expert has to have. This research designs a web-based expert system using rule-based reasoning. The rule are modified from the method of forward chaining inference and backward chaining in order to to help farmers in the rice plant disease diagnosis. The web-based rice plants disease diagnosis expert system has the advantages to access and use easily. With web-based features inside, it is expected that the farmer can accesse the expert system everywhere to overcome the problem to diagnose rice diseases.
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