A simple and accurate cnn model for a mobile application in classifying some rice diseases

Abstract

    In smart agriculture, a compact and accurate mobile application will be very helpful in assisting farmers in detecting and following diseases on their rice plants. After that, proper
solutions could be given to effectively kill and control these diseases. In this paper, a new mobile application to automatically classify a number of defined diseases on rice images is
given. To do so, a convolutional neural network (CNN) model is designed. The CNN model has proved to be a very good balance between accuracy and time efficiency compared to some state-of-the-art models. The application has been successfully installed on the smartphone.