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| Rule based System for Safflower Disease Diagnosis and Treatment |
Fatima M. Salman, Samy S Abu-Naser
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Abstract:
Background: Safflower is a highly branched, herbaceous, thistle-like annual plant. Any section of the safflower plant sections can suffering from a disease that weakens the ability to grow and eliminates its production. Therefore, in this paper will identify the pests and diseases present in safflower culture and detect the symptoms in each disease. Also images are showing the symptom form in this disease. Objectives: The main objective of this expert system is to obtain appropriate diagnosis of the disease. Methods: In this paper, the expert system is designed for the ability of agricultural engineers to detect and diagnose disease of safflower like as: alternaria blight, cercospora leaf spot, powdery mildew, head rot and wilt, mosaic, ramularia leaf spot, rust, wilt, and root rot. This system displays the disease symptoms, survival and spread, favorable conditions and image for each disease. Clips and Delphi expert system languages are used for designing and implementing the proposed expert system. Results: The expert system in the diagnosis of safflower diseases was evaluated by farmers and agricultural engineers and they were satisfied and accepted with its quality of performance. Conclusions: The expert system is easy for farmers and people have experience in the plant of safflower to detect and diagnosis the symptoms that may face this plant from several disease.
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