A NEW INNOVATIVE APPROACH FOR PLANT DISEASE PREDICTION USING FUZZY EXPERT SYSTEM

Abstract

Agriculture plays a crucial role in the country's economic sector, serving as its cornerstone and contributing over half of the nation's economic demands. The traditional model for predicting plant leaf diseases faces challenges such as low accuracy, low detection rate, and high processing rate. Precision farming aids in the identification of diseases in plants, thereby effectively managing their spread through timely and appropriate treatment. Therefore, the focus of this research is to establish a precise framework for predicting leaf diseases using an adaptive fuzzy expert system. The Adaptive Fuzzy Expert System (AFES) is utilized for the purpose of plant leaf categorization. This paper introduced a new approach to accurately identify plant disease.