Recognition and early warning of plant diseases is one of the keys to agricultural disaster prevention and mitigation. Deep learning-based image recognition methods give us a new idea for plant disease identification. Due to the harsh conditions in agricultural environment, recent research has focused on exploring ways to lightweight the recognition model for deployment on low-power devices. In this paper, we propose an efficient and feature-guided real-time plant disease recognition model with a multi-classifier architecture, specifically designed for low-power devices. By comparing with othe...
