Collaborative Innovation for Giant Sequoia Conservation

Deep learning framework detects fine-scale ecological features invisible to standard satellites

The article presents a high-resolution deep learning framework developed to detect fine-scale ecological features like hedgerows and copses

AI in nature conservation: balancing powerful analytical tools against risks of over-reliance

This article examines the growing role of artificial intelligence in nature conservation, weighing its potential benefits against risks. Con

AI and Local Knowledge Combined to Document the Largest Cape Buffalo Mega-Herd Ever Recorded

This study demonstrates a novel approach combining artificial intelligence (AI) with local ecological knowledge to analyze opportunistic wil

Digital Tools Are Transforming Efforts to Save Plants from Extinction

Ecology faces readiness challenges in adopting artificial intelligence for research

This article argues that while AI (particularly deep learning and neural networks) is being rapidly adopted in ecological research for tasks

Ecology faces readiness challenges in adopting artificial intelligence for research

This article argues that while AI (particularly deep learning and neural networks) is being rapidly adopted in ecological research for tasks

Field Testing Satellite-Based Bramble Detection for Hedgehog Habitat Mapping

Researchers conducted field testing of a machine learning model designed to identify bramble habitats from satellite data, specifically for