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 compared with the existing techniques and it is analyzed that KNN classifier has high accuracy, less fault detection as compared to other techniques

GLCM, KNN, K-means, Plant Disease Detection

[1] Camargo A. and J. S. Smith, “An image-processing based algorithm to automaticallyidentify plant disease Visual symptoms”, 2008, Bio.Systematic. En-gineering., 102: 9–21
[2] Camargo, A. and J. S. Smith, “Image processing for pattern classification for the identification of dis-ease causing agents in plants”, 2009, Com. Elect. Agr. 66: 121 –125
[3] Guru, D. S., P. B. Mallikarjuna and S. Manjunath, “Segmentation and Classification of Tobacco Seedling Diseases”. 2011, Proceedings of the Fourth Annual ACM Bangalore Conference
[4] Zhao, Y. X., K. R. Wang, Z. Y. Bai, S. K. Li, R. Z. Xie and S. J. Gao, “Research of Maize Leaf Disease Identifying Models Based Image Recognition”, 2009, Crop Modeling and Decision Support.Tsinghua uni.press. Beiging. pp. 317-324
[5] Fury, T. S., N. Cristianini and N. Duffy, “Support vector machine (SVM) classification and validation of cancer tissue samples using microarray expression data”, 2000, Proc. BioInfo., 16(10): 906-914
[6] Al-Hiaryy, H., S. Bani Yas Ahmad, M. Reyalat, M. Ahmed Braik and Z. AL Rahamnehiahh, “Fast and Accurate Detection and Classification of Plant Diseases”, 2011, Int. J. Com. App., 17(1): 31-38
[7] P. Mohanaiah, P. Sathyanarayana, L. GuruKumar, “Image Texture Feature Extraction Using GLCM Approach”, International Journal of Scientific and Research Publications, Volume 3, Issue 5, May 2013
[8] Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu, “An Efficient k-Means Clustering Algorithm: Analysis and Implementation”, 2002, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 7
[9] Channamallikarjuna Mattihalli, Edemialem Gedefaye, Fasil Endalamaw, Adugna Necho, “Real time Automation of Agriculture Land, by Automatically Detecting Plant Leaf Diseases and Auto Medicine” 2018 32nd International Conference on Advanced Information Networking and Applications Workshops
[10] Shivani K. Tichkule, Prof. Dhanashri. H. Gawali, “Plant Diseases Detection Using Image Processing Techniques”, 2016 Online International Conference on Green Engineering and Technologies (IC-GET)
[11] Boikobo Tlhobogang and Muhammad Wannous, “Design of Plant Disease Detection System: A Transfer Learning Approach Work in Progress”, 2018, IEEE
[12] Rutu Gandhi Shubham Nimbalkar Nandita Yelamanchili Surabhi Ponkshe, “Plant Disease Detection Using CNNs and GANs as an Augmentative Approach” , 2018, IEEE
[13] Zia Ullah Khan1, Tallha Akra , Syed Rameez Naqvi , Sajjad Ali Haider , Muhammad Kamran , Nazeer Muhammad, “Automatic Detection of Plant Diseases; Utilizing an Unsupervised Cascaded Design” , 2018, IEEE