4.6 Article

Validation of Real-Time Kinematic (RTK) Devices on Sheep to Detect Grazing Movement Leaders and Social Networks in Merino Ewes

Journal

SENSORS
Volume 21, Issue 3, Pages -

Publisher

MDPI
DOI: 10.3390/s21030924

Keywords

RTK u-blox; accuracy; sampling rate; social networks; leadership

Funding

  1. Commonwealth Scientific and Industrial Research Organisation (CSIRO)
  2. CSIRO Research Plus postdoctoral fellowship

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This study introduced an RTK-GNSS localisation device for sheep and confirmed its accuracy through testing. By analyzing the optimal location update rate and threshold distance, it was found that specific sampling strategies can accurately detect social networks in sheep groups.
Understanding social behaviour in livestock groups requires accurate geo-spatial localisation data over time which is difficult to obtain in the field. Automated on-animal devices may provide a solution. This study introduced an Real-Time-Kinematic Global Navigation Satellite System (RTK-GNSS) localisation device (RTK rover) based on an RTK module manufactured by the company u-blox (Thalwil, Switzerland) that was assembled in a box and harnessed to sheep backs. Testing with 7 sheep across 4 days confirmed RTK rover tracking of sheep movement continuously with accuracy of approximately 20 cm. Individual sheep geo-spatial data were used to observe the sheep that first moved during a grazing period (movement leaders) in the one-hectare test paddock as well as construct social networks. Analysis of the optimum location update rate, with a threshold distance of 20 cm or 30 cm, showed that location sampling at a rate of 1 sample per second for 1 min followed by no samples for 4 min or 9 min, detected social networks as accurately as continuous location measurements at 1 sample every 5 s. The RTK rover acquired precise data on social networks in one sheep flock in an outdoor field environment with sampling strategies identified to extend battery life.

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