DETECTION AND MEASUREMENT OF PADDY LEAF DISEASE SYMPTOMS USING IMAGE PROCESSING

An application of detecting the plant diseases and providing the necessary suggestions for the disease has been implemented. Hence the proposed objective was implemented on three different types of crops namely Paddy, Sugarcane and Cotton. The diseases specific to these plants were considered for testing of the algorithm. The experimental results indicate the proposed approach can recognize the diseases with a little computational effort. By this method, the plant diseases can be identified at the initial stage itself and the pest control tools can be used to solve pest problems while minimizing risks to people and the environment. In this system, for diagnosing paddy disease of Blast, brown spot and narrow brown spot. It involves several techniques such as image acquisition, image segmentation, preprocessing feature extraction and image classification.