Classification of Leaf Disease Using Texture Feature and Neural Network Classifier

Leaf diseases are one of the common factors that are responsible for the decrease in plant growth. Plant diseases are analyzed with their leaves. Many researchers have analyzed the different methods to detect the leaf diseases but the evaluated results are not appropriate enough. So, in this paper we have presented support vector machine (SVM), KNN and Neural Network for plant leaf disease detection and classification. Here, the disease affected dataset of plant leaves is considered that is suffered with four diseases, early blight, Late blight, Black rot and Healthy. The main objective of this paper is to detect the disease affected portion of leaf and healthy portion of leaf. We have calculated the percentage of leaf affected portion with their classification. Overall results are evaluated in the form of accuracy of proposed approach.