DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-7661

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-5,Issue-4  ( Apr, 2017 )
Paper Title
Identification of Diseases in Leaves using Machine Vision
Author Name
P.T.Vanathi, M.Preethi, G. Sreeja Reddy
Affilition
Associate Professor, Ph.D scholar, Department of Electronics and Communication, PSG College of Technology, Coimbatore, Tamil Nadu
Pages
41-45
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;
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