Diagnosis and classification of diseases in paddy leaves

In Asian country paddy is the most important agricultural crop because almost human beings are depend on rice as their food, so rice is given major importance among the cereals in Asian country. There will be a yield loss due to rice plant diseases. In the proposed work, identification of Blast and Brown Spot diseases are has been done. Otus segmentation method is used to segment the image and kNN and SVM classifier used for the classification, based on extracted features for properties of gray-level co-occurrence matric. By using kNN and SVM classifier method the result obtained is 84% and 73.6% accuracy respectively.