International Journal of Engineering Research in Electronics and Communication Engineering (IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,August 2017,

Topic : Pomegranate Leaf Disease Detection Using Image Processing with SVM Classifier

Authors:Miss. Tanjeem. N. Shaikh || Dr. S. M. Muk

Abstract:India is an agricultural country where most peoples in the India are farmers. Economically agricultural field is very much important. The crops are affected by uneven climatic conditions, Because of that diseases on plant is increased and agriculture yield is decreased. Which restrict the growth of plant and quality and quantity of plant also reduces. Now days, the conditions become worst because of bacterial diseases. Detection of diseases and prevention is much more needed for that modern agriculture techniques and systems are designed. The studies of the pomegranate plant diseases mean the studies of visually observable patterns seen on the plant. It is very difficult to monitor the pomegranate plant diseases manually. Hence, image processing is used for the detection of pomegranate plant diseases. Image processing is best way for detecting and diagnosis the diseases. Disease detection involves the steps like image acquisition, image pre-processing, image segmentation, feature extraction and classification. K-means clustering algorithm is used for segmentation and support vector machine is used for classification of disease..

Keywords: Image Processing, K-means Clustering, Segmentation, SVM (Support Vector Machine), Classification, Disease Detection, feature extraction.

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DOI: 01.1617/vol4/iss8/pid68231


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