machine learning for biodiversity

Machine learning for biodiversity applies advanced data analysis techniques to study and protect wildlife and ecosystems. By analyzing patterns in large datasets, such as animal sightings or habitat conditions, these techniques help scientists understand biodiversity trends, predict species distributions, and make informed conservation decisions to protect endangered species and ecosystems.