Efficient lightweight fire detection in UAV imagery: an improved YOLOv8 approach

This paper introduces an efficient and lightweight forest fire detection method based on an improved YOLOv8 architecture, designed for real-time processing on UAV platforms, and achieves an optimal balance between accuracy and parameter count, making it well-suited for future deployment on edge computing devices.