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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorLLARIA, Alvaro
ORCID: 0000-0002-0348-6419
IDREF: 259161004
dc.contributor.authorMENASSOL, Jean-Baptiste
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorTERRASSON, Guillaume
ORCID: 0000-0002-3468-5883
IDREF: 136426158
dc.contributor.authorJOUVEN, Magali
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorREZZOUKI, Marwane
IDREF: 257083782
dc.date.accessioned2024-09-14T09:59:05Z
dc.date.available2024-09-14T09:59:05Z
dc.date.conference2024-07-23
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/201587
dc.description.abstractEnPrecision Livestock Farming (PLF) has experienced a remarkable growth during the last years, thanks to the widespread deployment of embedded systems and wireless communication technologies. PLF systems, which are mainly oriented to intensive farming, must be adapted to correctly work in extensive farming scenarios. In this context, the monitoring of small ruminants in mountain and Mediterranean regions constitutes a challenge for the operation of embedded systems due to a specific set of constraints, like the high degree of mobility of the animals, the harsh outdoor conditions, the wireless data transmission difficulties, and the limited energy availability. Consequently, PLF solutions are either unavailable or unsuitable for this type of environments. Considering all these factors, this paper surveys several sensor technologies employed for the identification of sheep and goats' behavior, including wireless communication solutions and power saving strategies, with the aim of defining the global functionalities of a PLF tool, adapted to small ruminants, to help farmers' decision-making in pastoral farms. The main conclusions are that there are no relevant differences between the characteristics of the sensors employed to identify animals' behavior, and these characteristics are not chosen apparently in function of the behavior that must be identified or the type of animal.
dc.language.isoENen_US
dc.subject.enPrecision livestock farming
dc.subject.enInertial sensor
dc.subject.enEmbedded system
dc.subject.enWireless communication
dc.subject.enBehavior recognition
dc.title.enEmbedded Systems for Small Ruminants Behavior Identification: Application to Pastoral Farms in Mountain and Mediterranean Areas
dc.typeCommunication dans un congrèsen_US
dc.identifier.doi10.1109/SAS60918.2024.10636655en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.hal.laboratoriesESTIA INSTITUTE OF TECHNOLOGYen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.conference.title2024 IEEE Sensors Applications Symposium (SAS)en_US
bordeaux.countryiten_US
bordeaux.title.proceeding2024 IEEE Sensors Applications Symposium (SAS)en_US
bordeaux.conference.cityNaplesen_US
hal.identifierhal-04697769
hal.version1
hal.date.transferred2024-09-14T09:59:07Z
hal.proceedingsouien_US
hal.conference.end2024-07-25
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=LLARIA,%20Alvaro&MENASSOL,%20Jean-Baptiste&TERRASSON,%20Guillaume&JOUVEN,%20Magali&REZZOUKI,%20Marwane&rft.genre=unknown


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