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Foliage Measurement Using Image Processing Techniques
Abstract— Automatic detection of fruit and leaf diseases is essential to automatically detect the symptoms of diseases as early as they appear on the growing stage. This system helps to detect the diseases on fruit during farming , right from plan and easily monitoring the diseases of grapes leaf and apple fruit. By using this system we can avoid the economical loss due to various diseases in agriculture production. K-means clustering technique is used for segmentation. The features are extracted from the segmented image and artificial neural network is used for training the image database and classified their performance to the respective disease categories. The experimental results express that what type of disease can be affected in the fruit and leaf .
Index Terms- Artificial Neural Network ,Segmentation, Local Binary Pattern, K-Means Clustering.
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International Journal for Trends in Technology & Engineering © 2015 IJTET JOURNAL