YOLOv11-GPC: A Lightweight Detection Model for Maize Diseases and Pests with Edge-Device Deployment on Jetson Orin Nano
This study designed an edge computing detection system for maize pests and diseases based on an improved YOLOv11 model and designed a C2PSLCA module based on linear self-attention to replace the C2PSA module in YOLOv11, enhancing the model’s ability to extract features of maize pests and diseases in complex environment...