Mechanism and Design of Agriculture Pest and Disease Recognition System Based on Convolutional Neural Network

An agriculture pest and disease recognition system was constructed using convolutional neural networks (CNNs). After reviewing relevant theories and technologies, the requirements of the system were determined. Based on the requirement, the design of the system was created including modules. Features for pest and disease recognition were defined using CNNs as the core component of the system. Input images were classified effectively for automatic recognition and classification of agriculture pests and diseases.