Hybrid Expert System for Wheat Diseases Diagnosis Using Fuzzy Logic, Neural Network and Bayesian Method

Abstract

Expert system is a branch of Artificial Intelligence is a collection of programs which has the ability to reason,
justify and answer the queries in a particular domain as a human expert would do. It can be applied to various fields.
This research was designed hybrid expert system for the diseases diagnosis of wheat rust by incorporating application of
fuzzy logic, neural networks and Bayesian method. The research aim is to tackling the control and remedial measures
for disease management for the wheat diseases. The expert system is intended to help the farmers, researchers and
students and provides an efficient goal-oriented approach for solving common problems of wheat rust. The system gives
results that are correct and consistent.