This paper contains the review of different image processing techniques to detect various leaf diseases using machine learning. Now a day’s image processing technique is becoming a key technique for diagnosing the various features of the leaves. The diseases can touch part or area of the leaf. This paper mainly focuses detection of various leaf diseases and to classify them. The detection of leaf disease is mostly based on type of family leafs and same is approved by segmentation and classification. There are so many classification techniques such as Decision tree classifier, k-Nearest Neighbour classifier , k-means Classifier, Probabilistic Neural Network, Genetic Algorithm, Support Vector Machine, and Principal Component Analysis, Artificial neural network, Fuzzy logic. Assortment of classification method is always a difficult job because the quality of result can differ for dissimilar input data. This paper provides an overview of diverse classification techniques used for leaf disease classification [1].

image processing, k-means, neural network, Support Vector Machine

[1]. Rani Pagariya, Mahip Bartere “Review Paper on Identification of Leaf Diseases Using Image Processing Technique “, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3 Issue 11, November 2014.
[2]. Sagar Patil , and Anjali Chandavale “A Survey on Methods of Leaf Disease Detection “,International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2013): 6.14 | Impact Factor (2013): 4.438.
[3]. Sujeet Varshney, Tarun Dalal “Plant Disease Prediction using Image Processing Techniques- A Review”, SujeetVarshney et al, International Journal of Computer Science and Mobile Computing, Vol.5 Issue.5, May- 2016, pg. 394-398.
[4]. Yashpal Sen, Chandra Shekhar Mithlesh, Dr. Vivek Baghel “ A SURVEY ON CROP DISEASE DETECTION USING IMAGE PROCESSING TECHNIQUE FOR ECONOMIC GROWTH OF RURAL AREA”, IJARIIT( ISSN: 2454-132X).
[5]. Mr. Viraj A. Gulhane, Dr. Ajay A. Gurjar, “Detection of Diseases on Cotton Leaves and Its Possible Diagnosis”, International Journal of Image Processing (IJIP), Volume (5) : Issue (5) : 2011.
[6].G. Savita, A. Parul, “Detection and classification of leafleaf diseases using image processing techniques: a review,” Int. J. Recent Adv. Eng. Technol., vol. 2, pp. 2347–812, 2014.
[7]. B. Dhaygude, N. P. Kumbhar, “Agricultural leafleaf disease detection using image processing,” Int. J. Adv. Res. Electr. Electron. Instrum. Eng., vol. 2, pp. 599-602, Jan. 2013.
[8]. Sumit Nema, Bharat Mishra,, Mamta Lambert “Advance App Design Methods of Leaf Disease Detection using Image Processing Approach – A Review”, IJIRSET, ISSN(Online) : 2319-8753.
[9]. S. Bashir, and N. Sharma, “Remote area leaf disease detection using image processing,” IOSR J. Electron. Commun. Eng., vol. 2, pp. 31-35, Sep. 2012.