Abstract-India is an agriculture country and above seventy percent of our population depends on the agriculture. One-third of our national income comes from agriculture.Agriculturalist are facing loss due to various crop disease and it becomes tedious to cultivators to monitor the crop regularly when the cultivated area is huge(acres).So the plant disease detection plays an very important role in agriculture field. Timely and accurate disease detection is important for the loss caused due to crop diseases which affects adversely on crop quality and yield. Early diagnosis and intervention can reduce the loss of plant disease and reduce the unnecessary drug usage. Earlier, automatic detection of plant disease was performed by image processing. For disease detection and classification we are proposing machine learning mechanisms and image processing tools. Crop disease will be detected through various stages of image processing such as image acquisition, image pre-processing, image feature extraction &feature classification. For image feature extraction we will be useimage global feature extraction technique.

Keywords- Image Processing, Feature Extraction, Classification, Image Global Features.

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