REAL TIME GRAPE LEAG DISEASE DETECTION

Image Processing

India being an agro-based economy, farmers experience a lot of problem in detecting and preventing diseases in fauna. So there is a necessity in detecting diseases in fauna which proves to be effective and convenient for researchers Major economic and production losses occur because of diseases on the plant .Now a days there are several diseases seen on the plants. For increasing production and quality it is important to control such a harmful diseases .For controlling such a diseases it is necessary to detect a specific disease. In our country many farmers are not so educated to get correct information about all diseases, they require expert advice. But it is impossible for expert to reach at each farmer. Even if they got expert, expert uses naked eye observation. But naked eye observation has very less accuracy. We introduce here new approach based on image processing for detecting plants leaf diseases .The goal is to detect, identify, and to accurately quantify the first symptoms of disease. Plant disease are caused by bacteria, fungi, virus etc. of which fungi is main disease causing organism. The proposed system is very sensitive and accurate method in the detection of plant diseases, which will minimize the losses and increases the economical profit. It includes following steps in that, image acquisition, image pre-processing, features extraction and neural network based classification. The developed algorithm’s efficiency can successfully detect and classify the examined disease with accuracy of 92.94%

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