The HABRI Central Team continues to monitor emerging research and information about the COVID-19 pandemic. Visit our collection of resources, close

You are here: Home / Journal Articles / Use of a tri-axial accelerometer for automated recording and classification of goats' grazing behaviour / About

Use of a tri-axial accelerometer for automated recording and classification of goats' grazing behaviour

By M. Moreau, S. Siebert, A. Buerkert, E. Schlecht

View Resource (HTM)

Licensed under

Category Journal Articles

The suitability of an inexpensive tri-axial accelerometer for the automated recording of goats' activities at pasture was tested on a slightly undulating pasture in Central Germany (52 h of registry) and on a rugged mountainous pasture in northern Oman (70 h of registry). The logger was either mounted onto a chest belt, a dog harness or a neck collar. The device registered the animals' acceleration and changes in head inclination every second (Germany) or every two seconds (Oman). To calibrate and validate the logger's registries, an observer simultaneously recorded the goats' activities, distinguishing between walking, resting and eating; the latter was further subdivided into grazing (head-down) and browsing (head-up). Merged with the observation data, the accelerometer recordings were imported into a specially designed computer programme that calculated moving averages for the transformed accelerometer data and selected threshold values to distinguish resting from eating and eating from walking. Calibration functions established from data sets of a first goat were validated with data from a second goat fitted with the same harness type. The true recognition of activities detected by the accelerometer and the corresponding programme ranged from 87% to 93% for eating, 68% to 90% for resting and 20% to 92% for walking. It was affected, for resting and walking, by the type of mounting system used for logger fixation (fixed effect; P<0.001) and, for resting and eating, by the number of observations (covariable; P<0.01). Using a dog harness, the programme correctly recognized head-up and head-down positions in 75-82% and in 61-71% of the observed cases, respectively. With solid data sets for the calibration, a reliable automated classification of goats' activities is possible across different individuals and across husbandry systems, provided that the same harness type is used.

Date 2009
Publication Title Applied Animal Behaviour Science
Volume 119
Issue 3/4
Pages 158-170
ISBN/ISSN 0168-1591
DOI 10.1016/j.applanim.2009.04.008
Language English
Author Address Animal Husbandry in the Tropics and Subtropics, University of Kassel and Georg-August-Universitat Gottingen, Steinstrasse 19, D-37213 Witzenhausen, Germany.
Cite this work

Researchers should cite this work as follows:

  1. Animal behavior
  2. Animal husbandry
  3. Asia
  4. Automation
  5. Behavior and behavior mechanisms
  6. Browse
  7. Capra
  8. Classification
  9. Developed countries
  10. Europe
  11. Field crops
  12. Foraging
  13. Germany
  14. Goats
  15. Grasslands and rangelands
  16. Grazing
  17. Harness
  18. Head
  19. Husbandry
  20. Mammals
  21. Middle East
  22. OECD countries
  23. Oman
  24. pastures
  25. Pasturing
  26. peer-reviewed
  27. registration
  28. Ruminants
  29. thorax
  1. peer-reviewed