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DAMAGED PADDY LEAF DETECTION USING IMAGE PROCESSING

Manoj Mukherjee, Titan Pal1 and Debabrata Samanta

In an agriculture field paddy is one of the major staple foods in the Asian countries like China, India, Indonesia, and Bangladesh etc. But paddy disease likes a Blast; Bacterial Leaf Blight; Rice tungro etc. stops the growth of the paddy trees. If the diseases are not detected at an early possible stage then there is a decrease in the production of paddy. In this paper a noble methodology i.e. image processing of the paddy leaf by histogram is proposed, to avoid large scale effect of these diseases. By this approach one can detect the disease at a very primary stage and thus can take necessary steps in time to minimize the loss of production. At first, an image of a paddy leaf is captured, and then processed for enhancement. Later, the image is converted from RGB colour image to gray image and then extracted to a histogram using MATLAB functions. The resultants of images are given as input to identify disease from classification of diseases and grading the diseases. After completing disease identification, and stage detection, a consultative treatment module of the disease was prepared with the help of agricultural experts.