A Lightweight Neural Network-Based Method for Identifying Early-Blight and Late-Blight Leaves of Potato

Crop pests and diseases are one of the most critical disasters that limit agricultural production. In this paper, we trained a lightweight convolutional neural network model built Django framework-based potato disease leaf recognition system, which can recognize three types images including early blight, late healthy. A lightweight, network-based for identification significantly reduces number parameters, whereas accuracy Top-1 is over 93%. We imported into framework to build website thus providing technical support implementation mobile-based warning system.