Validation of Real-Time Kinematic (RTK) Devices on Sheep to Detect Grazing Movement Leaders and Social Networks in Merino Ewes.
- Publisher:
- MDPI AG
- Publication Type:
- Journal Article
- Citation:
- Sensors, 2021, 21, (3), pp. 1-19
- Issue Date:
- 2021-01-30
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Keshavarzi, H | |
dc.contributor.author | Lee, C | |
dc.contributor.author | Johnson, M | |
dc.contributor.author | Abbott, D | |
dc.contributor.author |
Ni, W |
|
dc.contributor.author | Campbell, DLM | |
dc.date.accessioned | 2022-05-23T05:20:36Z | |
dc.date.available | 2021-01-27 | |
dc.date.available | 2022-05-23T05:20:36Z | |
dc.date.issued | 2021-01-30 | |
dc.identifier.citation | Sensors, 2021, 21, (3), pp. 1-19 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | http://hdl.handle.net/10453/157634 | |
dc.description.abstract | 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. | |
dc.format | Electronic | |
dc.language | eng | |
dc.publisher | MDPI AG | |
dc.relation.ispartof | Sensors | |
dc.relation.isbasedon | 10.3390/s21030924 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 0301 Analytical Chemistry, 0502 Environmental Science and Management, 0602 Ecology, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering | |
dc.subject.classification | Analytical Chemistry | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Biomechanical Phenomena | |
dc.subject.mesh | Female | |
dc.subject.mesh | Movement | |
dc.subject.mesh | Sheep | |
dc.subject.mesh | Social Behavior | |
dc.subject.mesh | Social Networking | |
dc.subject.mesh | Switzerland | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Biomechanical Phenomena | |
dc.subject.mesh | Female | |
dc.subject.mesh | Movement | |
dc.subject.mesh | Sheep | |
dc.subject.mesh | Social Behavior | |
dc.subject.mesh | Social Networking | |
dc.subject.mesh | Switzerland | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Sheep | |
dc.subject.mesh | Social Behavior | |
dc.subject.mesh | Movement | |
dc.subject.mesh | Switzerland | |
dc.subject.mesh | Female | |
dc.subject.mesh | Social Networking | |
dc.subject.mesh | Biomechanical Phenomena | |
dc.title | Validation of Real-Time Kinematic (RTK) Devices on Sheep to Detect Grazing Movement Leaders and Social Networks in Merino Ewes. | |
dc.type | Journal Article | |
utslib.citation.volume | 21 | |
utslib.location.activity | Switzerland | |
utslib.for | 0301 Analytical Chemistry | |
utslib.for | 0502 Environmental Science and Management | |
utslib.for | 0602 Ecology | |
utslib.for | 0805 Distributed Computing | |
utslib.for | 0906 Electrical and Electronic Engineering | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering | |
utslib.copyright.status | open_access | * |
pubs.consider-herdc | false | |
dc.date.updated | 2022-05-23T05:20:30Z | |
pubs.issue | 3 | |
pubs.publication-status | Published | |
pubs.volume | 21 | |
utslib.citation.issue | 3 |
Abstract:
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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