Agricultural education
abolfazl kazemi; Marzieh Karimi; amir fatehi gibi
Abstract
Expert systems are designed to make expert-level knowledge accessible to non-experts by simulating human thinking and decision-making processes. These systems aim to replicate the reasoning patterns of specialists and bring computer-based performance closer to that of human experts. In recent years, ...
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Expert systems are designed to make expert-level knowledge accessible to non-experts by simulating human thinking and decision-making processes. These systems aim to replicate the reasoning patterns of specialists and bring computer-based performance closer to that of human experts. In recent years, a wide range of expert systems have been developed worldwide for various agricultural applications. The availability of low-cost computers, agricultural knowledge, and information technology has driven this trend. This paper presents the design of an expert system intended to support decision-making among orchardists. The knowledge base was developed using information gathered from literature and domain experts, and was encoded into a set of IF-THEN rules. The system was then evaluated in collaboration with agricultural specialists. Additionally, the designed expert system serves as an effective educational tool for farmers and agricultural students by providing accurate and up-to-date information on pests affecting pome fruit trees. It enables users to learn practical methods of pest identification and control, enhances their knowledge and professional skills, and supports both formal education and self-directed learning in agricultural training contexts.
