Detection and Classification of Groundnut Leaf Diseases using KNN classifier

One of the ultimate key factors besttow less yield is disease attack. The groundnut plant disease such as fungi, soil borne and viruses. In this paper, we are given that software determination to robotically classify and categorize groundnut leaf diseases. This method will improve production of crops. It comprises of number of steps viz. image acquisition, image pre-processing, segmentation, features extraction and classifier using K Nearest Neighbor (KNN). To increase performance of existing algorithm the SVM classifier is replaced with KNN classification. In this paper we categorized only 4 different disease using KNN classifier algorithm.