This paper introduces BLN-YOLO, a lightweight model improved from YOLOv8n, addressing two key challenges in forest fire detection: poor real-time performance of traditional methods and the accuracy-efficiency trade-off in lightweight architectures. The model employs a three-stage optimization: 1) Integrating Local Spatial Attention (LSKA) in...