An improved YOLOv11n-based method for high-precision detection of ginkgo fruits in complex natural environments
A real-time ginkgo fruit detection method based on an improved YOLOv11n framework that provides technical support for the development of vision-based perception systems in intelligent ginkgo harvesting equipment and offers a reference for further optimization and integration of smart agricultural machinery systems.