AMRAPALIKA: An expert system for the diagnosis of pests, diseases, and disorders in Indian mango

Authors:
Rajkishore Prasad;Kumar Rajeev Ranjan;A. K. Sinha
Affiliations:
University Department of Electronics, B. R. Ambedkar Bihar University, Muzaffarpur, Bihar, India;Department of Physics, College of Commerce, Patna, Bihar State, India;Department of Electrical Engineering, MIT, Muzaffarpur, Bihar, India
Venue:
Knowledge-Based Systems
Year:
2006

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Abstract

This paper emphasizes application of expert system in Indian fruiticulture and describes development of a rule-based expert system, using Expert System Shell for Text Animation (ESTA), for the diagnosis of the most common diseases occurring in Indian mango. The objective is to provide computer-based support for agricultural specialists or farmers. The proposed expert system makes diagnosis on the basis of response/responses of the user made against queries related to particular disease symptoms. The knowledge base of the system contains knowledge about symptoms and remedies of 14 diseases of Indian mango tree appearing during fruiting season and non-fruiting season. The picture base of the system contains pictures related to disease symptoms and are displayed along with the query of the system. The result given by the system has been found to be sound and consistent. und and consistent.