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Knowledge Based System for Diagnosing Pineapple Diseases

Show simple item record Nassr, Mohammed S. Abu-Naser, Samy S. 2019-05-26T07:37:10Z 7/28/2018 7/28/2018 2019-05-26T07:37:10Z 7/28/2018 2018
dc.identifier.citation International Journal of Academic Pedagogical Research (IJAPR),2(7), pp. 12-19 en_US
dc.description.abstract Background: The pineapple (A nanas comosus) is a tropical plant with an edible multiple fruit consisting of coalesced berries, also called pineapples, and the most economically significant plant in the Bromeliaceae family. Pineapples may be cultivated from a crown cutting of the fruit, possibly flowering in five to ten months and fruiting in the following six months.[5][6] Pineapples do not ripen significantly after harvest. In 2016, Costa Rica, Brazil, and the Philippines accounted for nearly one-third of the world's production of pineapples.[8] Pineapple damage is not taken quickly, it can lead to damage in the Pineapple. 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 Fruits Agricultural Specialist in diagnosing many of the Pineapple diseases such as : Phytophthora heart (top) rot, Base (butt) rot or Fruit let core rot (green eye, Pineapple Sprain, Turf Toe, Pineapple disease , Plantar Fasciitis, Warts, Bunion, Rheumatoid Arthritis, Gout, Heel Spur, Athlete's Pineapple , The proposed expert system presents an overview about Pineapple diseases are given, the cause of diseases are outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Pineapple diseases diagnosis expert system was evaluated by Agricultural students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Fruits Agricultural Specialist, patients with Pineapple problem and newly graduated Agricultural Specialist. 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.title Knowledge Based System for Diagnosing Pineapple Diseases en_US
dc.type Article en_US

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