Applications of Fuzzy Set Models in Optimizing Agricultural Production Structures in Smart Farms

This article emphasizes the application of fuzzy logic in the field of agriculture. The use of fuzzy logic is not restricted to specific agricultural domains, but rather extends from soil analysis to the entire process of plant production, encompassing various areas within agriculture. To gain a better understanding of fuzzy logic in agriculture, a concise and comprehensive literature review has been conducted. Crop yield estimation fuzzy logic involves the incorporation of input parameters such as productivity, area, and labor expenses. Through the application of fuzzy arithmetic to these parameters, a precise crop yield value is obtained. The fuzzy modeling employs optimal membership functions. The accuracy of the results is verified by comparing them with existing open-source literature.