arXiv:2606. 10940v1 Announce Type: cross Abstract: 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 behind commercial platforms or trained on fauna that does not match that of the British Isles.
By Paul Fergus, Philip Stephens, Russell A. Hill, Lee Oliver, Katie Appleby, Sarah Beatham, Naomi Davies Walsh, Stuart Nixon, Naomi Matthews, Chris Sutherland, Kelly Hitchcock
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 behind commercial platforms or trained on fauna that does not match that of the British Isles. In an attempt to remove barriers and increase uptake, we release an open-source object detection model for 31 classes, 28 common UK mammal and bird species, plus utility classes for humans, calibration poles, and vehicles, drawn from a curated dataset of 48,165 labelled instances assembled from multiple sites over a decade of operational deployment through Conservation AI and its successor, Trap Tracker.
arXiv:2608. 09943v1 Announce Type: cross Abstract: Monitoring livestock behaviour under extensive conditions would provide valuable insights to assess animal adaption to environmental perturbations in agroecological systems (e.
By Lucile Riaboff (GenPhySE, INRAE), Ny Aina Andriamampandry (GenPhySE, GenPhySE), Jean-Fran\c{c}ois Bompa (GenPhySE, GenPhySE), Mathias Aletru (GenPhySE, GenPhySE), Christian Durand (UEF), S\'ebastien Douls (UEF), Ga\"etan Bonnafe (UEF), Morgane Costes-Thir\'e (GenPhySE, GenPhySE), Guillaume Delosi\`eres (GenPhySE, GenPhySE), Jean- Marc Mongrelet (GenPhySE, GenPhySE), Enzo Niro (GenPhySE, GenPhySE), N\'emuel Tadi (GenPhySE, GenPhySE), S\'everine Deretz (DEPT GA, UEF, INRAE), Sara Parisot (UEF), Margot Lamarque (UEF), Dominique Hazard (GenPhySE), Emilie Cobo (GenPhySE)
arXiv:2608. 06001v1 Announce Type: new Abstract: Commercial grazing systems yield irregular livestock observations, which challenge cattle growth forecasting.
By Muhammad Riaz Hasib Hossain, Rafiqul Islam, Shawn R. McGrath, Md Zahidul Islam, David W. Lamb
arXiv:2606. 15655v1 Announce Type: new Abstract: The need for effective cattle identification technology is now more acutely felt than ever in maintaining biosecurity, food safety, and supply chain efficacy in livestock management.
By Fayazunnesa Chowdhury, Syed Md. Galib, Md Nasim Adnan, Md. Moradul Siddique, Md Robiul Karim, K M Tanvir Anjum
arXiv:2509. 04682v2 Announce Type: replace-cross Abstract: Deploying reliable bioacoustic monitoring systems requires models that generalize under high-noise, low-SNR conditions and evaluation protocols that expose deployment-relevant failure modes, gaps largely unaddressed in current UPAM practice.
By Nicholas R. Rasmussen, Rodrigue Rizk, Longwei Wang, KC Santosh