YOLOv11-GPC: A Lightweight Detection Model for Maize Diseases and Pests with Edge-Device Deployment on Jetson Orin Nano
Maize faces a wide variety of pests and diseases, and its growing environment is complex, which makes detecting these problems quite challenging. Existing object detection algorithms usually require a lot of computing power, but edge computing devices are limited in terms of processing resources and memory, making it h...
Jiejie Shi, Liangying Han, Qiang Wu et al.
· Agronomy · 0 citations