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A Web Based Solution to Detect Rice Leaf Blast Disease using Convolutional Neural Network

In the time of advancement, different enterprises are moving from manual to automated courses of action of various issues in the hand. While these frameworks have not simply extended the capability, they moreover have condensed the cost, time and work hours required to get an ensured excellence. In agriculture, paddy is one of the real harvests packaging substantial measure of fields moreover, serving the sustenance necessities. One of the crucial infections of paddy is leaf blast. The thought behind the work is to assemble a Convolutional Neural Network model and train it utilizing a collection of leaf blast pictures and group into various dimensions of infection so as to recommend appropriate solution to the farmers. A web based application is the proposed product of the work and the farmers can input the pictures of leaf blast and get seriousness of the malady and the solution for it.