Turning camera-trap overload into actionable wildlife monitoring in African rainforests
To support adaptive management, Magaldi et al. have developed a deep-learning model to analyse ground-level camera traps in African tropical forests. A familiar problem If you work in wildlife research or protected-area management, you’ll know the feeling: camera traps are brilliant at “being there” 24/7 in dense forest, but they come with a hidden cost—an avalanche of photos and videos that someone has to sort, … Continue reading Turning camera-trap overload into actionable wildlife monitoring in African rainforests
The Applied Ecologist 