A lightweight deep learning framework for early fire and smoke detection in forest fire monitoring
FRW-YOLOv8, a lightweight YOLOv8-based model for fire and smoke detection in UAV-perspective forest scenes is proposed and FasterNeXt is introduced into the backbone to reduce redundant computation while preserving feature representation.