Leaf Disease detection using Image Processing Techniques

Asha Patil¹ , Kalyani Patil² , Kalpesh Lad³

Section:Review Paper, Product Type: Journal Paper
Vol.06 , Special Issue.01 , pp.33-36, Jan-2018

Online published on Jan 31, 2018

Copyright © Asha Patil, Kalyani Patil, Kalpesh Lad . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.  

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Abstract :
In an India 10% to 30 % of the total vegetable crop is destroyed yearly by diseases. chill production is decreae day by day due to disease.To achieve good accuracy and efficiency of disease detection and classification is challenging task. Traditional method of human eyes observation of plant is unpredictable for proper drug tretments. Using different technique of Image processing leaf diseases will be identify and classify accurately.Continue observation of leaf is crutial and effective for exact disease identification.It gose toward proper drug treatment to crop which is helfull for farmer. .Different image procesing techniques are followed by distinguish researcher for leaf disease detection with help of Android application,client-server architecture,sensor technology.Initialy image acquizition using android mobile camera or web camera,image enhancement using histogram comparision conersion of RGB image ,image segmentation using clustring and classification using ANN are common steps for leaf disease detection. Focuse on not only leaf disease identification but suggest proper pesticide when disease is arrive on crop.

Key-Words / Index Term :
Client-Server Architecture, Android Appication,RGB image ,ANN

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