AN EFFICIENT RICE PEST DETECTION METHOD BASED ON YOLOV11N
This study presents a lightweight YOLOv11n-based framework for accurate edge deployment that integrates a Multi-cognitive Visual Adapter (Mona), a Detail-Preserving Contextual Fusion module (DPCF), a Detail-Preserving Contextual Fusion module (DPCF) and Wise-IoU-based non-maximum suppression (Wise-IoU-NMS).