Plant Disease Detection using Machine Learning and Image Processing

Plant Disease Detection using Machine Learning and Image Processing

Prof. J. P. Patil1, Krushnakant Suklal Bag2, Suyash Milind Kharde3, Dhananjay Nagin Patil4, Tejas Gorakh Gholap5

 Department of Computer Engineering,

Jawahar Institute of Technology Management and Research, Nashik

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Abstract - Agriculture is one of the most important sector in India. Our Indian exchange mark is also enormously  depend on the agriculture, since 65 percent of the human beings are going with agriculture, it is important to increase the crop/plant productiveness, because of the different types of diseases happening for the crops farmers did no longer getting higher productivity and appropriate price in the market. This paper represents the detection of various types of illness that are occurring on the crops and an algorithm which classifies the various types of diseases by using the image processing techniques. Image segmentation is one of the image techniques which detects the sickness automatically and classify the diseases in early stage. via detecting the different types of diseases in early stage farmers can increase their crop productivity, crop quality and top rates in the marketplace.

Key Words:  machine learning, android development, image detection, image pre- processing, image classification.