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Integration of expert system and fuzzy theory for diagnosis wheat plant diseases

عنوان مقاله: Integration of expert system and fuzzy theory for diagnosis wheat plant diseases
شناسه ملی مقاله: CITCOMP02_220
منتشر شده در دومین کنفرانس بین المللی پژوهش های دانش بنیان در مهندسی کامپیوتر و فناوری اطلاعات در سال 1396
مشخصات نویسندگان مقاله:

Zusha Beiranvand - Islamic Azad University, Ashtian Branch, Faculty of Computer Engineering, Ashtian, Iran
Abbas karimi - Islamic Azad University, Ashtian Branch, Faculty of Computer Engineering, Ashtian, Iran

خلاصه مقاله:
Expert system is a computer program that contains expert knowledge about a particular problem domain, often in the form of if – then rules that is able to solve the problems at a level equivalent to or greater than human expert. AI programs that achieve expert-level competence in solving problems in task areas by bringing to bear a body of knowledge about specific tasks are called knowledge-based or expert systems. This paper presents a web-based expert system for wheat crop. Wheat is one of the major grain crops. It is cultivated in vast areas of Punjab followed by Sindh and ranked first as a cereal crop in the country. Our rule-based expert system covers two main classes of problems namely diseases and pests, normally encountered in wheat crop. The expert system is intended to help the farmers, researchers and students and provides an efficient and goal-oriented approach for solving common problems of wheat. The system gives results that are correct and consistent

کلمات کلیدی:
Expert System, Agriculture, Fuzzy system, Wheat

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/696161/