machine learning in ecology

Machine learning in ecology involves using computer algorithms to analyze large amounts of environmental data, enabling systems to recognize patterns, make predictions, or classify ecological features. For example, it can identify animal species from camera images, predict animal migration routes, or monitor deforestation from satellite images. By learning from existing data, these algorithms assist ecologists in understanding complex natural systems more efficiently, supporting conservation efforts and sustainable management of ecosystems without requiring explicit instructions for every task.