Automated detection of parturition - lessons from the lambing shed

Title
Automated detection of parturition - lessons from the lambing shed
Publication Date
2013
Author(s)
Morton, Christine
( author )
OrcID: https://orcid.org/0000-0002-8814-8688
Email: cmorton5@une.edu.au
UNE Id une-id:cmorton5
Valencia, Philip
Editor
Editor(s): David Lamb
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
University of New England
Place of publication
Armidale, Australia
UNE publication id
une:19145
Abstract
We aim to predict imminent birth events in livestock through detection of periparturient behaviours such as circling and restlessness using remote Wireless Sensor Network (WSN) technology (Hurley et aI, 2006). The algorithms to classify these behaviours will be achieved via the fusion of high-rate, low power inertial sensor data collected on numerous animals up to 10 days prior to giving birth during a CSIRO FD McMaster lambing trial in late 2012. We believe this to be the first attempt at developing algorithms to remotely predict birth events in pregnant merino ewes using WSN technology. Many challenges were encountered during the data collection phase of the experiment. These insights will aid development of future WSN technologies deployed on livestock.
Link
Citation
Proceedings of the Digital Rural Futures Conference, p. 23-23
ISBN
9780646905594
Start page
23
End page
23

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