Advanced Plant Disease Detection Using Neural Network

The latest generation of convolutional neural networks (CNNs) has achieved impressive results in the field image classification. This paper is concerned with a new approach to development tomato plant disease recognition model, based on leaf classification, by use deep convolutionalnetworks. Novel way training and methodology used facilitate quick easy system implementation practice. developed model able recognize different types diseases out healthy leaves, ability distinguish leaves from their surroundings. According our knowledge, this method for been proposed first time. All essential steps required implementing are fully described throughout project, starting gathering images order create database, assessed agricultural experts. Neural network, was perform detection. experimental detection between 85% 95%.