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| Rule Based System for Diagnosing Lablab Problems
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Mohammed J. A. AlQatrawi, Walaa Z. A. Wahba, Mosa M. M. Megdad, Mohanad H. Al-Qadi, Mohammed F. El-Habibi, Raed Z. Sababa, Samy S. Abu-Naser
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Abstract:
Background: Lablab is a summer-growing annual or occasionally short-lived perennial forage legume. It is a twining, climbing, trailing or upright herbaceous plant that can grow to a length of 3-6 m. It has a deep taproot and vigorous, glabrous or pubescent trailing stems. Lablab leaves are alternate and trifoliolate. The leaflets are rhomboid in shape, 7.5-15 cm long x 8-14 cm broad, acute at the apex. The upper surface is smooth while the underside has short hairs. Inflorescences are many-flowered racemes borne on elongated peduncles. The flowers are white to blue or purple in colour, about 1.5 cm long, typically papillonaceous in shape. Lablab fruits are linear, 4-15 cm long x 1-4 cm broad, smooth and beaked pods that contain between 2 and 8 seeds. 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 was produced to help Farmers and those interested in agriculture in diagnosing many of the Lablab diseases such as Anthracnose, Rust, Powdery mildew, Bacterial leaf spot, Lablab bean Mosaic virus, Ashy stem blight. The proposed expert system presents an overview of Lablab diseases are given, the cause of diseases 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 Lablab diseases diagnosis expert system was evaluated by Agricultural Students at AL Azhar University and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture.
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