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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorTERRASSON, Guillaume
ORCID: 0000-0002-3468-5883
IDREF: 136426158
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorLLARIA, Alvaro
ORCID: 0000-0002-0348-6419
IDREF: 259161004
dc.contributor.authorMARRA, Adrien
dc.contributor.authorVOADEN, Samuel
dc.date.accessioned2024-04-08T07:49:49Z
dc.date.available2024-04-08T07:49:49Z
dc.date.issued2016-07-18
dc.identifier.issn1757-8981en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194960
dc.description.abstractEnThe rapid evolution of electronics and communication technologies in the last years has contributed to the expansion of Precision Livestock Farming applications. In this context, animal geolocation systems applied to extensive farming are interesting for farmers to optimize their daily work organization. Nevertheless, the deployment of these solutions implies several technical challenges which must be resolved, mainly the energy consumption and the suitability of the communication protocols. A recently developed solution that deals with these technical challenges is the e-Pasto platform, which is composed of low power geolocation devices embedded into collars that offer an energetic autonomy of at least seven months, completed with a visualization user interface. The autonomy is assured employing a duty-cycle operation that results in one geolocation position measurement per hour. This work studies the employ of accelerometers to overcome this limitation assuring, at the same time, the requiredautonomy for the geolocation device. The authors also propose an algorithm that processes the acceleration data in order to identify the steps of an individual. The whole solution (step identification and geolocation) has been validated by means of several experimental tests.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.title.enAccelerometer based solution for precision livestock farming: geolocation enhancement and animal activity identification
dc.typeArticle de revueen_US
dc.identifier.doi10.1088/1757-899X/138/1/012004en_US
dc.subject.halSciences de l'ingénieur [physics]/Micro et nanotechnologies/Microélectroniqueen_US
dc.description.sponsorshipEuropeAGRIPIRen_US
bordeaux.journalIOP Conference Series: Materials Science and Engineeringen_US
bordeaux.page012004en_US
bordeaux.volume138en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-01346293
hal.version1
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IOP%20Conference%20Series:%20Materials%20Science%20and%20Engineering&rft.date=2016-07-18&rft.volume=138&rft.spage=012004&rft.epage=012004&rft.eissn=1757-8981&rft.issn=1757-8981&rft.au=TERRASSON,%20Guillaume&LLARIA,%20Alvaro&MARRA,%20Adrien&VOADEN,%20Samuel&rft.genre=article


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