Plant Disease Detection in Image Processing Using MATLAB

Main Article Content

Gaurav Kshirsagar, Prof. A. N. Thakre

Abstract

For increasing growth and productivity of crop field, farmers need automatic monitoring of disease of plants instead of manual. Manual monitoring of disease do not give satisfactory result as naked eye observation is old method requires more time for disease recognition also need expert hence it is non effective. So in this paper, we introduced a modern technique to find out disease related to both leaf and fruit. To overcome disadvantages of traditional eye observing technique, we used digital image processing technique for fast and accurate disease detection of plant. In our proposed work, we developed k-means clustering algorithm with multi SVM algorithm in MATLAB software for disease identification and classification.

Article Details

How to Cite
, G. K. P. A. N. T. “Plant Disease Detection in Image Processing Using MATLAB”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 6, no. 4, Apr. 2018, pp. 113-6, doi:10.17762/ijritcc.v6i4.1528.
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