Detection of Rice Leaf Diseases by using Fuzzy Logic Application

The present study explains how to use the fuzzy algorithm to configure a fuzzy expert system. A fuzzy expert system consists of a fuzzification interface, a fuzzy algorithm, and a defuzzification process. Fuzzification techniques are used in knowledge production to transform precise numerical quantities into fuzzy values. The diagnosis of rice production metrics, including but not limited to the number of tillers per hill, the number of grains per panicle, and the occurrence of pests and diseases, is made easier for academics by the application of the fuzzy algorithm. The provided article uses a standard procedure to implement fuzzy logic using a triangular approach. Defuzzification is a technique that helps us convert fuzzy or ambiguous data into crisp or precise ones. To develop a fuzzy expert system for rice, MATLAB simulation is used to validate the suggested method.