Disease Symptoms Identification In Paddy Leaf Using Image Processing

摘要

Nearly 70% of population of India depends on agriculture. The paddy leaf disease like Blast, Brown spot, Narrow Brown Spot is identified in this paper. Paddy can be infected at different stages of growth and also at neck and node. Leaf gets damage due to weather, chemical and nutritional problem. A software prototype system for rice disease detection depending on infected image of various rice plants is described in this paper. Digital camera is used to capture the images of infected leaves which are then processed using preprocessing image segmentation, feature extraction, classification of image. The possibility of human error is eliminated using completely automatic system. The future scope of the prototype has a very great potential.