Detection of Rice Leave Disease using Image Processing Techniques

Abstract

Rice is now one of the most important crops at the global level and second most important crop of Pakistan. Pakistan earns billions of rupees through its export. In order to maintain in the International market, quality and quantity is very necessary for the production line of rice. The productivity of rice is good only if the farmer produces good quality rice, butt seasonal diseases damage plant leaves. If the farmer does not pay proper attention to the growing stage of rice production, then these diseases damage the rice plant and as a result yield decreases. Therefore identification of disease in plants in early ages is very significant to maintain the quality and quantity of this yield production. Know computer technology spread very fast. Automatic detection of plant disease is now possible. It reduces large work of monitoring the farming. In this article we suggested a method which is image processing techniques. Using this system, it identifies plant diseases and further classifies them. Infected plants are first photographed and then these digital images are processed. By using image processing technique the infected area of plants can be detected. In 2nd phase disease can be identify from the infected area of plants and then classified respectively.