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An Expert System for Sesame Diseases Diagnosis Using CLIPS

Show simple item record El-Mashharawi, Hosni Q. Abu-Naser, Samy S. 2019-05-11T03:25:31Z 2019-05-11T03:25:31Z 2019
dc.identifier.citation International Journal of Academic Engineering Research (IJAER), 3(4), 22-29 en_US
dc.description.abstract Background: Sesame is a flowering plant in the genus Sesamum also called benne. Numerous wild relatives occur in Africa and a smaller number in India. It is widely naturalized in tropical regions around the world and is cultivated for its edible seeds, which grow in pods or "buns". World production in 2016 was 6.1 million tons, with Tanzania, Myanmar, India, and Sudan as the largest producers. Sesame seed is one of the oldest oilseed crops known, domesticated well over 3000 years ago. Sesamum has many other species, most being wild and native to sub-Saharan Africa. Sesamum indicum, the cultivated type, originated in India and is tolerant to drought-like conditions, growing where other crops fail. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper the design of the proposed Expert System which was produced to help Agriculture experts in diagnosing many of the sesame diseases such as: Phyllody, Dry root rot, Phytophthora blight and Alternaria blight. The proposed expert system presents an overview about sesame diseases are given, the cause of diseases are outlined and the treatment of disease whenever possible is given out. CLIPS Expert System and Delphi languages were used for designing and implementing the proposed expert system. Evaluation: The expert system in the diagnosis of Sesame diseases was assessed by farmers and agricultural engineers and they were satisfied with its quality of performance and ease of use. Conclusions: The Proposed expert system is very useful for Agriculture experts, patients with sesame problems and newly graduated Agricultural students. en_US
dc.language.iso en_US en_US
dc.publisher IJARW en_US
dc.subject Artificial Intelligence en_US
dc.subject Expert Systems en_US
dc.subject CLIPS en_US
dc.subject sesame diseases en_US
dc.subject agricultural engineering en_US
dc.title An Expert System for Sesame Diseases Diagnosis Using CLIPS en_US
dc.type Article en_US

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