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A Well-Organized Approach for The Detection of Plant Leaf Disease using K-Means Clustering Algorithm


Sofia Mathew , Dept.of Computer Science ,Bharathiar University, Coimbatore.


Leaf Disease, Noise Filter, Clustering, Image Segmentation, Image Processing


The study of Plant Diseases refers to the studies of visually observable patterns of a particular plant. Now a day’s crops face many diseases. It also affected the agriculture sector of our country. This paper provides a method to detect disease by calculating leaf area through pixel number statistics. The method studied is for increasing throughput and reducing subjectiveness arising from human experts in detecting the leaf disease. Leaf spots can be indicative of crop diseases, where leaf batches are examined manually and subjected to expert opinion. In this paper an Image Processing system is developed to automate the inspection of these leaf spots.

Other Details

Paper ID: IJSRDV4I100078
Published in: Volume : 4, Issue : 10
Publication Date: 01/01/2017
Page(s): 97-99

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