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BRIEF RESEARCH REPORT article

Front. Anim. Sci.

Sec. Precision Livestock Farming

Volume 6 - 2025 | doi: 10.3389/fanim.2025.1517570

This article is part of the Research Topic Exploring Novel Data Sources to Improve Health and Welfare in Dairy Cattle View all 7 articles

Observing grazing patterns with collar-mounted accelerometers and spatial data

Provisionally accepted
  • 1 Agricultural center for cattle, grassland, dairy, game and fisheries of Baden-Württemberg, Aulendorf, Germany
  • 2 Grassland Science, Department of Crop Science, University of Goettingen, Göttingen, Germany
  • 3 Geo-Laboratory, Department of Geography, University of Vechta, Vechta, Germany
  • 4 Centre of Biodiversity and Sustainable Land Use, Faculty of Agricultural Sciences, University of Göttingen, Göttingen, Lower Saxony, Germany

The final, formatted version of the article will be published soon.

    In pasture-based dairy farming, animal behaviour data can improve data-driven pasture management.In pasture-based dairy farming using information on animal behaviour could contribute to the development of more data-driven pasture management systems. Information on grazing behaviour of dairy cows can be retrieved from sensor-based data. However, this approach usually requires sophisticated sensor equipment and involves labour intensive animal observations. As an alternative we investigated the use of data from simple and commonly used collar-mounted accelerometers and global navigation system services (GNSS) receivers. In our on-farm study, cows grazed in a rotational or in a continuous grazing system, with a higher sward or lower sward height, respectively. As an indicator of grazing activity the overall dynamic body acceleration (ODBA) was calculated from accelerometer data. After differentiating the grazing process (forage uptake) into grazing with grazing steps (move to the next feeding station) and without grazing steps (true standing) from GNSS data, we found only a negligible effect of grazing steps on ODBA. The ODBA was higher in short swards (3.47 m s -2 ) than in tall swards (2.88 m s -2 ). The ODBA was also affected Forma Forma Forma by the time of the day with major grazing activity around dusk. Our findings show the potential of simple accelerometers on collars in researching grazing patterns, monitoring cattle, and for the use in pasture management. The ODBA can be calculated from any three-dimensional accelerometer also from existing commercial technology which allow a wide in-field application.

    Keywords: Dairy cow, pasture, Sward height, behaviour, Sensors, Rotational grazing system, Continuous grazing system, GNSS-Global Navigation Satellite System

    Received: 26 Oct 2024; Accepted: 07 Apr 2025.

    Copyright: © 2025 Obermeyer, Kayser and Isselstein. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Kilian Obermeyer, Agricultural center for cattle, grassland, dairy, game and fisheries of Baden-Württemberg, Aulendorf, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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