Classification of Plant Leaf Diseases Using Gradient and Texture Feature

This paper presents a new technique of classification of Plant Leaf Disease (Potato Late Blight) using gradient and texture features and Artificial Neural Networks. This technique uses Artificial Neural Networks to Segment an Image which is initially segmented using unsupervised Fuzzy-C-means Clustering Algorithm. In this proposed approach decorrelation extending is utilized to enhance the shading contrasts as a part of the information pictures. At that point Fuzzy C-mean bunching is connected to portion the sickness influenced region which additionally incorporate foundation with same shading attributes. At last we propose to utilize the neural system based way to deal with group the malady influenced locales from the comparable shading textured foundation. The results of our work are promising.