文章基本信息

标题：Developing an Expert System for Plant Disease Diagnosis
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作者：S.S. Abu-Naser ; K.A. Kashkash ; M. Fayyad 等
期刊名称：Journal of Artificial Intelligence
印刷版ISSN：1994-5450
电子版ISSN：2077-2173
出版年度：2008
卷号：1
期号：2
页码：78-85
DOI：10.3923/jai.2008.78.85
出版社：Asian Network for Scientific Information
摘要：Plant diseases are one of the most important reasons that lead to the destruction of plants and crops. Detecting those diseases at early stages enable us to overcome and treat them appropriately. This process requires an expert to identify the disease, describe the methods of treatment and protection. Identifying the treatment accurately depends on the method that is used in diagnosing the diseases. Expert systems help a great deal in identifying those diseases and describing methods of treatment to be carried out taking into account the user capability in order to deal and interact with expert system easily and clearly. This requires that the user should be competent in using expert systems. An expert system was developed using two different methods of plant diagnosis: Step by step descriptive and graphical representational methods. Present expert system plays the role of an agricultural engineer and provides the user with different methods of diagnostic and treatment. An initial evaluation of the system shows a positive impact on the expert system with graphical representational method.