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An Expert System for Diagnosis of Diseases in Rice Plant
Pages - 26 - 31 | Revised - 30-4-2010 | Published - 10-06-2010
MORE INFORMATION
KEYWORDS
Expert System, ESTA, Rice Disease, Knowledge Representation
ABSTRACT
This paper presents an architectural framework of an Expert System in the area
of agriculture and describes the design and development of the rule based expert
system, using the shell ESTA (Expert System for Text Animation). The designed
system is intended for the diagnosis of common diseases occurring in the rice
plant. An Expert System is a computer program normally composed of a
knowledge base, inference engine and user-interface. The proposed expert
system facilitates different components including decision support module with
interactive user interfaces for diagnosis on the basis of response(s) of the user
made against the queries related to particular disease symptoms. ESTA
programming is based on logic programming approach. The system integrates a
structured knowledge base that contains knowledge about symptoms and
remedies of diseases in the rice plant appearing during their life span. An image
database is also integrated with the system for making the decision support more
interactive. The pictures related to disease symptoms are stored in the picture
database and the intelligent system module prompts these with the interface
based on rule based decision making algorithms. The system has been tested
with domain dataset, and results given by the system have been validated with
domain experts.
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