5 citations · 5 across the 4 of their papers we have counts for
4 papers
Democratising Camera Trap AI: An Open-Source Model for Detecting UK Mammals
Paul Fergus, Philip Stephens, Russell A. Hill +8
Camera traps have become a cornerstone of biodiversity monitoring, but the artificial intelligence that turns vast quantities of images into usable ecological data is often locked…
AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10
Carl Chalmers, Paul Fergus, Serge Wich +6
Effective monitoring of wildlife is critical for assessing biodiversity and ecosystem health, as declines in key species often signal significant environmental changes. Birds, part…
Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data
Paul Fergus, Carl Chalmers, Naomi Matthews +7
Camera traps offer enormous new opportunities in ecological studies, but current automated image analysis methods often lack the contextual richness needed to support impactful con…
Harnessing Artificial Intelligence for Wildlife Conservation
Paul Fergus, Carl Chalmers, Steve Longmore +1
The rapid decline in global biodiversity demands innovative conservation strategies. This paper examines the use of artificial intelligence (AI) in wildlife conservation, focusing…