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| A Cognitive System for Diagnosing Musa Acuminata Disorders |
Jawad Yousif AlZamily, Samy S. Abu-Naser
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Abstract:
Background: Plant production provides human and animal life with different requirements. The concern of workers in agriculture in general and those interested in plant diseases, in particular, has been focused on protection from all that is expected to have problems of production. As environmental conditions play a critical role in the treatment of diseases, the plant is prepared and rendered more susceptible to production, which is exposed and may result in the loss of the entire crop. Objectives: The main goal of this expert system is to get the appropriate diagnosis of musa acuminata disease and the correct treatment. Methods: In this paper the design of the proposed Expert System which was produced to help farmers, people interested in agriculture and agricultural engineers in diagnosing many of the musa acuminata diseases such as: Panama wilt, Mycosphaerella leaf spot, yellow sigatoka, black sigatoka, Anthracnose, Moko disease/bacterial wilt, Tip over or bacterial soft rot, Bunchy top/curly top, Musa acuminata bract mosaic virus (BBMV), Musa acuminata Streak disease (BSV), Infectious chlorosis (CMV). The proposed expert system presents an overview about musa acuminata diseases are given, the cause of diseases are outlined and the treatment of disease whenever possible is given out. CLIPS with Delphi language was used for designing and implementing the proposed expert system. Results: The proposed musa acuminata diseases diagnosis expert system was evaluated by farmers, agricultural experts and Agriculture teachers and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Farmers, and those interested in agriculture with musa acuminata disease and recent graduate students.
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