Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars

Erik Versluijs, Laura J. Niccolai, Mélanie Spedener, Barbara Zimmermann, Anna Hessle, Morten Tofastrud, Olivier Devineau, Alina L. Evans

Frontiers in Animal Science · 2023

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Summary

Precision farming technology, including GPS collars with biologging, has revolutionized remote livestock monitoring in extensive grazing systems. High resolution accelerometry can be used to infer the behavior of an animal. Previous behavioral classification studies using accelerometer data have focused on a few key behaviors and were mostly conducted in controlled situations. Here, we conducted behavioral observations of 38 beef cows (Hereford, Limousine, Charolais, Simmental/NRF/Hereford mix) free-ranging in rugged, forested areas, and fitted with a commercially available virtual fence collar (Nofence) containing a 10Hz tri-axial accelerometer. We used random forest models to calibrate data from the accelerometers on both commonly documented (e.g., feeding, resting, walking) and rarer (e

Source type
Peer-reviewed study
DOI
10.3389/fanim.2023.1083272
Catalogue ID
SNmokbvtc7-pi0x26
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