Detection of Plant Diseases by analyzing the Texture of Leaf using ANN Classifier

Abstract

The plant disease detection and analysis are constrained by human’s visual potential as it entirely depends on microscopic behavior. The computer-based image reorganization schemes are implemented in accurate classification and identification of plant diseases. Disease Detection operation is performed by k-mean clustering operation on captured real time leaf image. Once the detection has been done its features are extracted by GLCM filter. Generally, classification is done by SVM based approaches, but it is having the low accuracy towards texture features. To implement features based matching operation, an advanced artificial intelligence based Back Propagated ANN approach is adopted for classification. The proposed approach is implemented in MATLAB environment, and the accuracy of this methodology is much better that conventional approaches.