International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Dec. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 116
Paper Published : 1605
No. of Authors : 4403
  Journal Paper


Paper Title :
Identification of Diseases in Leaves using Machine Vision

Author :P.T.Vanathi, M.Preethi, G. Sreeja Reddy

Article Citation :P.T.Vanathi ,M.Preethi ,G. Sreeja Reddy , (2017 ) " Identification of Diseases in Leaves using Machine Vision " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 41-45, Volume-5,Issue-4

Abstract : This paper presents an approach of using image processing techniques for early detection of plant leaf diseases. Disease in crops cause significant reduction in quality of the agricultural product. It is difficult for farmer to identify symptoms of disease by naked eye. In this process image processing techniques are used to capture digital image by camera and applied to ostu’s and k-means algorithms. Segmentation of image by ostu’s gives less accuracy than k-means and extracting the features from segmented classes i.e shape and color features. Finally classification is performed using Support Vector Machine (SVM). Thus image processing techniques are used for detecting diseases on leaves early and accurately. Keywords - plant diseases; ostu’s and k-means algorithms; color features; SVM;

Type : Research paper

Published : Volume-5,Issue-4


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