This use case demonstrates the fusion of drone technology and deep learning, specifically ResNet, for bird identification. 

Drones capture high-resolution images of birds in their habitats, which are processed in real-time using ResNet for accurate classification. This innovation streamlines ornithology by automating species identification, aiding biodiversity studies and conservation. Drones minimize disruption to ecosystems, making this advancement a crucial tool for wildlife research, combining automation, mobility, and image recognition.