Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18944
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMorton, Christineen
dc.contributor.authorValencia, Philipen
local.source.editorEditor(s): David Lamben
dc.date.accessioned2016-05-05T15:52:00Z-
dc.date.issued2013-
dc.identifier.citationProceedings of the Digital Rural Futures Conference, p. 23-23en
dc.identifier.isbn9780646905594en
dc.identifier.urihttps://hdl.handle.net/1959.11/18944-
dc.description.abstractWe 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.en
dc.languageenen
dc.publisherUniversity of New Englanden
dc.relation.ispartofProceedings of the Digital Rural Futures Conferenceen
dc.titleAutomated detection of parturition - lessons from the lambing sheden
dc.typeConference Publicationen
dc.relation.conferenceDigital Rural Futures Conference 2013: Inaugural Digital Rural Futures Conferenceen
dc.subject.keywordsAnimal Reproductionen
local.contributor.firstnameChristineen
local.contributor.firstnamePhilipen
local.subject.for2008070206 Animal Reproductionen
local.subject.seo2008970107 Expanding Knowledge in the Agricultural and Veterinary Sciencesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailcmorton5@une.edu.auen
local.output.categoryE3en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20150825-115612en
local.date.conference26th - 28th June, 2013en
local.conference.placeArmidale, Australiaen
local.publisher.placeArmidale, Australiaen
local.format.startpage23en
local.format.endpage23en
local.contributor.lastnameMortonen
local.contributor.lastnameValenciaen
dc.identifier.staffune-id:cmorton5en
local.profile.orcid0000-0002-8814-8688en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:19145en
dc.identifier.academiclevelAcademicen
local.title.maintitleAutomated detection of parturition - lessons from the lambing sheden
local.output.categorydescriptionE3 Extract of Scholarly Conference Publicationen
local.conference.detailsDigital Rural Futures Conference 2013: Inaugural Digital Rural Futures Conference, Armidale, Australia, 26th - 28th June, 2013en
local.search.authorMorton, Christineen
local.search.authorValencia, Philipen
local.uneassociationUnknownen
local.year.published2013en
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
local.date.start2013-06-26-
local.date.end2013-06-28-
Appears in Collections:Conference Publication
Files in This Item:
3 files
File Description SizeFormat 
Show simple item record
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.