IMPLEMENTATION OF GRAPE PLANT DISEASE DETECTION

Abstract

Productivity of plant decreases due to infections caused by variety of diseases. The diseases not only restrict the growth of plant but also reduce quality and quantity of plant. Different technique is adopted for detecting and diagnosis the diseases but the better way is by using Image Processing. Automatic plant disease detection is an important topic in research as it has been proved useful in monitoring large crop fields, and thus automatically detects the leaf disease symptoms as soon as they appear in plant leaves. The proposed system consist of five steps, first RGB image is acquired then image is converted into color transformation structure then structure is converted into HIS image, using threshold value, then the image is segmented using segmentation process and the useful segments are extracted, finally the texture statistics is calculated. From the texture statistics, a disease on the plant leaf is evaluated. The grape leaf disease detection through leaf image and image processing techniques is very useful and inexpensive system especially for assisting farmers in monitoring the big plantation area.