EweAcT: Ewe behaviour aligned to accelerometer data for activity monitoring in extensive grazing systems
Monitoring livestock behaviour under extensive conditions would provide valuable insights to assess animal adaption to environmental perturbations in agroecological systems (e.g., heat waves, parasitism, predator attacks). Animal behaviour can be monitored using accelerometer data collected from neck-collars combined with artificial intelligence models. However, large amounts of accelerometer data aligned with annotated behaviours are necessary to develop accurate models of behaviour prediction. In particular, developing reliable models for extensive systems requires data collected across a wide range of representative conditions. The dataset includes 79 hours of tri-axial accelerometer d...
| Authors | Lucile Riaboff, Ny Aina Andriamampandry, Jean-François Bompa et al. |
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| Primary category | cs.HC |
| Published | 1 July 2026 |
| Last updated at source | 1 July 2026 |
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