Manatee Aggregation

Manatee aggregation studies focus on accurately counting manatees within groups to understand their behavior and improve conservation efforts. Current research employs advanced image analysis techniques, such as deep learning models (including convolutional neural networks) often incorporating specialized kernels to overcome challenges like poor image quality and overlapping individuals. Precise manatee counts are crucial for informing effective conservation strategies, mitigating human-wildlife conflict (e.g., boat strikes), and optimizing resource allocation for manatee management.