Nazire MikailArzu ÇığTarana GılıcovaYasaman Yagubova2025-03-112025-03-112024Mikail, N., Çığ, A., Gılıcova, T., & Yagubova, Y. (2024, April). Fuzzy Expert System Applications in Plant Cultivation. In International Conference on Smart Environment and Green Technologies (pp. 353-362). Cham: Springer Nature Switzerland.978303181566997830318156762367-33702367-3389https://hdl.handle.net/20.500.12604/8555In expert systems widely used in today’s technology, making the best decision in case of uncertainty and modeling applications are based on fuzzy logic inference. Fuzzy expert systems seek solutions relied on the practice, knowledge and skills of professional in a particular field. This can be explained as a type of computerized consultation system. The use of natural language based on fuzzy logic enable this method to solve many experimental problems. Fuzzy logic is widely used in different applications in plant cultivation, such as disease and pest detection, yield estimation, irrigation control, fertilizer and drug dosage determination. Fuzzy logic considers to be one of the effective tools for prognosis aims in plant cultivation. Fuzzy expert system applications in plant growing can be used in early diagnosis of some diseases, pest management, diagnosis of nutrient deficiency, as well as determination of optimum yield patterns and preparation at minimum cost.info:eu-repo/semantics/closedAccessDiagnosisExpert systemsFuzzy logicFuzzy rulesManagementbook-chapterQ42-s2.0-8521913528110.1007/978-3-031-81567-6_42