Simple Summary Waterbird monitoring is crucial for conservation and management
strategies in wetland ecosystems. There is limited research on using deep learning …

Wildlife monitoring is critical for ecological study, conservation, and wildlife management,
but traditional approaches have drawbacks. The combination of unmanned aerial vehicles …

Unoccupied aerial systems (UASs) may provide cheaper, safer, and more accurate and
precise alternatives to traditional waterfowl survey techniques while also reducing …

Artificial intelligence has the potential to make valuable contributions to wildlife management
through cost-effective methods for the collection and interpretation of wildlife data. Recent …

Simple Summary Natural wetlands supply food and shelter for many bird species and offer
stopover sites that allow waterbirds to make long migratory journeys. Human impacts and …

Climate change has been shown to alter the spatial distribution of whales and other marine
mammals. Fast changing ocean temperatures may also affect the spatial distribution of …

Poyang Lake is the largest freshwater lake in China and plays a significant ecological role.
Deep-learning-based video surveillance can effectively monitor bird species on the lake …

Over the past decade, the sightings of numerous migratory bird species that were once
common have become increasingly rare. These birds often reside high in the canopy or …

Even nowadays, people have only a very limited understanding about animal
communication. Scientists are still far from identifying statistically relevant, animal-specific …

Currently, the identification and counting of birds in ecological monitoring are mainly done
manually, which is a laborious and challenging process particularly when dealing with …