PLFYNet-based edge-deployable detection system for Ginkgo biloba leaf diseases

This work establishes a paradigm for developing high-precision, computationally efficient disease detection systems. By balancing accuracy and resource efficiency, PLFYNet provides a practical edge-based monitoring solution for sustainable Ginkgo biloba cultivation, addressing the key deployment challenges of existing detection systems in complex agricultural environments.