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An Application of image processing techniques for Detection of Diseases on Brinjal Leaves Using K-Means Clustering Method

Publication Type : Conference Paper

Thematic Areas : Wireless Network and Application

Publisher : Fifth International Conference on Recent Trends in Information Technology 2016 (ICRTIT 2016), Anna University, Chennai campus.

Source : Fifth International Conference on Recent Trends in Information Technology 2016 (ICRTIT 2016), Anna University, Chennai campus (2016)

Campus : Coimbatore, Amritapuri

School : School of Engineering

Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)

Department : Electronics and Communication

Year : 2016

Abstract : This work presents a method for identifying plant leaf disease and an approach for careful detection of diseases. The goal of proposed work is to diagnose the disease of brinjal leaf using image processing and artificial neural techniques. The diseases on the brinjal are critical issue which makes the sharp decrease in the production of brinjal. The study of interest is the leaf rather than whole brinjal plant because about 85-95 % of diseases occurred on the brinjal leaf like, Bacterial Wilt, Cercospora Leaf Spot, Tobacco mosaic virus (TMV). The methodology to detect brinjal leaf disease in this work includes K-means clustering algorithm for segmentation and Neural-network for classification. The proposed detection model based artiifical neural networks are very effective in recognizing leaf diseases.

Cite this Research Publication : Anand R, S. Veni, and Aravinth J., “An Application of image processing techniques for Detection of Diseases on Brinjal Leaves Using K-Means Clustering Method(2016)”, Fifth International Conference on Recent Trends in Information Technology 2016 (ICRTIT 2016). Anna University, Chennai campus , 2016.

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