Precision-oriented two-stage YOLOv8–Faster R-CNN framework for intelligent fish monitoring in sustainable aquaculture systems
Sustainable aquaponics requires accurate and stable real-time fish monitoring under visually degraded conditions such as turbidity, glare, reflections, occlusion, and dynamic illumination. Although YOLOv8 enables efficient real-time detection, its performance in low-clarity aquatic environments is often limited by lo...