Automatic Detection & Classification of Agricultural Diseases using Neural Networks

This introduce by the automatic detection and classification of agriculture leaf disease using neural network. That Agriculture leaf disease detection in crops for identified agriculture field, as having disease in leaf are natural Solution. Leaf disease from a particular detect in an image. In a disease Detection is computer technology related to computer vision and image processing. Applications of many parts of the system view Image input, detect leaf disease provide the fertilizer. There are CNN (Convolutional Neural Network) concept applied. The important difference In contrast to problems such as classification, the output of the leaf detector varies with length. The number of detected disease may vary from image to image. Leaf detection is a basic visual authentication problem in the system view. Has been widely studied in the last decades. Aims to find leaf of the target class with the localization of the image. Simple image symptoms are classification .Used in deep learning technologies. The leaf represents each pixel in the image for leaf in particular symptoms are identified and detected to provide fertilizer. There is a created for python languages are used in the neural networks in crop detection.