• Varinderjit kaur
• Dr. Ashish Oberoi

The image processing is the technique which can propose the information stored in the form of pixels. The plant disease detection is the technique which can detect the disease from the leaf. The plant disease detection algorithms has various steps like pre-processing, feature extraction, segmentation and classification. The KNN classifier technique is applied which can classify input data into certain classes. The performance of KNN classifier is analyzed that KNN classifier has high accuracy, less fault detection as compared to other techniques.

GLCM, KNN, K-means, Plant Disease Detection

"WHEAT DISEASE DETECTION IN IMAGE PROCESSING USING KNN CLASSIFIER FOR MORE ACCURATE RESULTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.850-856, August-2018, Available :http://www.jetir.org/papers/JETIR1808878.pdf

"WHEAT DISEASE DETECTION IN IMAGE PROCESSING USING KNN CLASSIFIER FOR MORE ACCURATE RESULTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp850-856, August-2018, Available at : http://www.jetir.org/papers/JETIR1808878.pdf