A Result Based Leaf Disease Detection Using Image Processing and Machine Learning

Computer Engineering

In improvement of India agriculture is that the major economic issue. Indian folks square measure extremely smitten by agriculture. In agriculture unwellness detection is one in all the foremost important factors large times yet a skilful labour is required. As we all know the agricultural sector plays associate important role within the economy of a rustic, as their square measure several different types of crops accessible to farmers. However, difficulties occur once the crops get infected by some kind of disease, and also the farmers don't seem to be privy of the unwellness at the correct moment. Farmers don't understand what unwellness they are managing once they sight the unwellness. For this reason, the study of plant disease detection in agriculture could be a fundamental subject of study because it may prove helpful within the observation of large fields of crops. during this paper we tend to square measure going to sight the various diseases occurring on plants victimization image process and machine learning. In image process there are some steps to determined diseases like image collection, image segmentation, feature extraction, classification. And additionally, we tend to square measure about to develop associate application to regulate water pump from the mobile application to avoid overflow of water so water won't be wasted. Using this system, we can remotely handle the water pump and give the water to the crop.

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