3 papers
cs.LG2026
Exploring the Potential of Symbolic Regression in Precision Livestock Farming
Elisabeth Mayrhuber, Maciej Oczak, Michael Iwersen +3
The ability to predict farrowing time in pigs is crucial for optimal farm management and ensuring piglet survival. This study investigates the potential of explainable artificial i…
cs.CV2026
BMCTrack-d: Pig re-identification and tracking via back marks in challenging camera settings
David Brunner, Maciej Oczak, Marie Bordes +3
Automated pig monitoring is essential for assessing their health, behaviour, and welfare. To date, most pig monitoring solutions operate on the group-level, because individual-leve…
cs.CV2026
Insights on back marking for the automated identification of animals
David Brunner, Marie Bordes, Elisabeth Mayrhuber +3
To date, there is little research on how to design back marks to best support individual-level monitoring of uniform looking species like pigs. With the recent surge of machine lea…