Suitability of a commercial low-cost biologging system for monitoring movement, behaviour and heart rate of grazing dairy cows

This study explored the suitability of a commercial biologging system incorporating GPS and heart rate (HR) sensors to monitor grazing cattle’s movement, behaviour and heart rate. We preliminarily tested the GPS accuracy with stationary tests and then monitored six dairy cows grazing in an alpine summer pasture for 20 days and nights. We trained a random forest model on direct observations to infer cows’ behaviours (resting, grazing, walking) from GPS movement data. We associated each GPS position with the HR (beats per minute - bpm) mean and maximum-minimum difference in the 120–second interval preceding its acquisition. The GPS sensor showed high accuracy (positioning error lower than 2 m in open sky-view and 3 m under tree canopy cover) and efficiency of position acquisition of 95% after excluding outlier positions. The efficiency of HR data acquisition was lower, peaking at 77% during daytime activity and dropping to 50% during night-time resting. The HR mean and the maximum-minimum difference were lower during resting and at night and higher during grazing, walking, and daytime. They also increased with slope and Temperature Humidity Index (THI). This study indicates that this commercial biologging system is suitable for short-term monitoring of animals’ movement, behaviour and physiological responses to varying pasture and climatic conditions, offering insights for livestock management in alpine summer pastures.

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Publication Details

Journal
Italian Journal of Animal Science
Published
2024-11-27
DOI
https://doi.org/10.1080/1828051x.2024.2434067
Primary Topic
Effects of Environmental Stressors on Livestock
Type
article
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article

Suitability of a commercial low-cost biologging system for monitoring movement, behaviour and heart rate of grazing dairy cows

Nicolò Amalfitano, Salvatore Raniolo, Marco Berton, Maurizio Ramanzin et al.
Italian Journal of Animal Science
Effects of Environmental Stressors on Livestock
article

Suitability of a commercial low-cost biologging system for monitoring movement, behaviour and heart rate of grazing dairy cows

Nicolò Amalfitano, Salvatore Raniolo, Marco Berton, Maurizio Ramanzin, Enrico Sturaro, Andrea Ceppatelli
article en

Abstract

This study explored the suitability of a commercial biologging system incorporating GPS and heart rate (HR) sensors to monitor grazing cattle’s movement, behaviour and heart rate. We preliminarily tested the GPS accuracy with stationary tests and then monitored six dairy cows grazing in an alpine summer pasture for 20 days and nights. We trained a random forest model on direct observations to infer cows’ behaviours (resting, grazing, walking) from GPS movement data. We associated each GPS position with the HR (beats per minute - bpm) mean and maximum-minimum difference in the 120–second interval preceding its acquisition. The GPS sensor showed high accuracy (positioning error lower than 2 m in open sky-view and 3 m under tree canopy cover) and efficiency of position acquisition of 95% after excluding outlier positions. The efficiency of HR data acquisition was lower, peaking at 77% during daytime activity and dropping to 50% during night-time resting. The HR mean and the maximum-minimum difference were lower during resting and at night and higher during grazing, walking, and daytime. They also increased with slope and Temperature Humidity Index (THI). This study indicates that this commercial biologging system is suitable for short-term monitoring of animals’ movement, behaviour and physiological responses to varying pasture and climatic conditions, offering insights for livestock management in alpine summer pastures.

Italian Journal of Animal ScienceVol. 23(1)
Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Legnaro (IT)
Zero hunger
Openalex Percentile: Top 77%
Effects of Environmental Stressors on Livestock
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Suitability of a commercial low-cost biologging system for monitoring movement, behaviour and heart rate of grazing dairy cows — Nicolò Amalfitano, Salvatore Raniolo, et al. · Italian Journal of Animal Science (2024) | TGRS Research Map | TGRS