Leaf Disease Detection using Image Processing Technique

Abstract: The analysis of the plant diseases may involve the detection of the abnormalities introduced in the plant leaves, which may or may not be visible to the naked eyes. With the layman’s idea of the problems in plants, one cannot proceed with any random solution in the form of any pesticide or fertilizer, unless there’s a sheer and accurate understanding of the disease spots and proper pattern recognition which otherwise would lead to a catastrophic situation where besides the loss of the money, the plant will remain untreated and the diseases will also get more time to spread. In order to combat this situation effectively, an artificial intelligence technique has been employed in this paper using k-means clustering (segmentation). The work begins with image acquisition, image enhancement and restoration, and information extraction from images for further computer analysis.

Keywords: Disease spot, Pattern recognition, K-means clustering, Image processing, Segmentation.