Early prediction of declining health in small ruminants with accelerometers and machine learning
A. X. Montout, R. S. Bhamber, D. S. Lange, D. Z. Ndlovu, E. R. Morgan, C. C. Ioannou, T. H. Terrill, J. A. Van Wyk, T. Burghardt, A. W. Dowsey
This study uses accelerometers and machine learning to predict health decline in small ruminants, achieving up to 83% precision in detecting changes in FAMACHA scores.
bioRxiv · Aug 3, 2020 · PreprintAnimal Behavior & Cognition