Publication Type:

Journal Article

Source:

International Journal of Engineering and Technology, Engg Journals Publications, Volume 8, Number 5, p.1990-1998 (2016)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84998630609&doi=10.21817%2fijet%2f2016%2fv8i5%2f160805417&partnerID=40&md5=7559545342bd53793e0b26bd9401d0da

Abstract:

This paper aims in classifying and identifying the diseases of mango leaves for Indian agriculture. K-means algorithm is chosen for the disease segmentation, and the disease classification and identification is carried out using the SVM classifier. Disease identification based on analysis of patches or discoloring of leaf will hold good for some of the plant diseases, but some other diseases which will deform the leaf shape cannot be identified based on the same method. In this case leaf shape based disease identification has to be performed. Based on this analysis two topics are addressed in this research paper. (1) Disease identification using the OpenCV libraries (2) Leaf shape based disease identification.

Notes:

cited By 0

Cite this Research Publication

J. Sethupathy and S. Veni, “OpenCV based disease identification of mango leaves”, International Journal of Engineering and Technology, vol. 8, pp. 1990-1998, 2016.

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