Paper Title
Identification of Diseases in Leaves using Machine Vision

Abstract
This paper presents an approach of using image processing techniques for early detection of plant leaf diseases. Disease in crops cause significant reduction in quality of the agricultural product. It is difficult for farmer to identify symptoms of disease by naked eye. In this process image processing techniques are used to capture digital image by camera and applied to ostuís and k-means algorithms. Segmentation of image by ostuís gives less accuracy than k-means and extracting the features from segmented classes i.e shape and color features. Finally classification is performed using Support Vector Machine (SVM). Thus image processing techniques are used for detecting diseases on leaves early and accurately. Keywords - plant diseases; ostuís and k-means algorithms; color features; SVM;