2 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning
Carl Chalmers, Paul Fergus, Serge Wich +7
Birds are important indicators for monitoring both biodiversity and habitat health; they also play a crucial role in ecosystem management. Decline in bird populations can result in…
Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation using Deep Learning and 3/4G Camera Traps
Paul Fergus, Carl Chalmers, Steven Longmore +7
The biodiversity of our planet is under threat, with approximately one million species expected to become extinct within decades. The reason; negative human actions, which include…