Abstract: Nearly 70% of our population depends on agriculture and agricultural activity so we can say that India is an agriculture country. By recent survey conducted, we concluded that nearly 33.33% of national income comes from agriculture and agricultural activity. Now a day’s farmers are facing loss due to problem like environmental changes, heavy rain, various crop disease, shortage of water. As we know farmers income is directly proportional to the quality of crop.So we decided to mainly focus on problems like crop diseases. Crop diseases affect adversely on crop quality, so early prevention and intervention can reduces loss of crop and reduces the unnecessary fertilizer usage. Detections of crop diseases was preformed earlier by techniques such as image processing. We are using Machine learning mechanism and image processing tools for detections and classification. Image acquisition, Image pre-processing, image feature extraction, Feature classification are the various steps of image processing. Keywords – Crop disease, Leaf Disease, Image Processing, Machine Learning, Deep Learning, Grape Leaf disease.