Analyzing Plant Leaf for Detecting Disease by using Convolutional Neural Network

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Agriculture is the basis of the human species. It is the main source of food and plays an important role in the growth of country's economy. The farmers are still using traditional methods for agriculture, which result in low yielding of the crops. Now a days, there is a threat of disease that attacks the plant leaf in the field of agriculture so the detection of leaf disease by analyzing it using a neural network minimizes the threat of decreasing the productivity of crops in agriculture. Hence, in this system, we are introducing artificial intelligence-based plant leaf disease detection for quick and easy detection of disease and then classifying it by using convolutional neural networks. In this approach, we have followed several steps like image acquisition, preprocessing of image, removal of noise and then classify the disease by using convolution neural network and artificial intelligence technique. Here, the main approach is to detect the disease in plant leaves for increasing the productivity of crops in agriculture.