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An IoT approach for animals tracking

2021Conference paper Restricted access
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dc.contributor.authorZorawski, Matheus
dc.contributor.authorBrito, Thadeu
dc.contributor.authorCastro, José
dc.contributor.authorCastro, João Paulo
dc.contributor.authorCastro, Marina
dc.contributor.authorLima, José
dc.date.accessioned2022-03-30T11:30:33Z
dc.date.available2022-03-30T11:30:33Z
dc.date.issued2021
dc.description.abstractPastoral activities bring several benefits to the ecosystem and rural communities. These activities are already carried out daily with goats, cows and sheep in Portugal. Still, they could be better applied to take advantage of their benefits. Most of these pastoral ecosystem services are not remunerated, indicating a lack of making these activities more attractive to bring returns to shepherds, breeders and landowners. The monitoring of these activities provides data to value these services, besides being able to indicate directly to the shepherds’ routes to drive their flocks and the respective return. There are devices in the market that perform this monitoring, but they are not adaptable to the circumstances and challenges required in the Northeast of Portugal. This work addresses a system to perform animals tracking, and the development of a test platform, through long-range technologies for transmission using LoRaWAN architecture. The results demonstrated the use of LoRaWAN in tracking services, allowing to conclude about the viability of the proposed methodology and the direction for future works.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationZorawski, Matheus; Brito, Thadeu; Castro, José; Castro, João Paulo; Castro, Marina; Lima, José (2021). An IoT approach for animals tracking. In Pereira A.I. et al. (eds) First International Conference, OL2A 2021. Springer, p. 269-280. ISBN 978-3-030-91884-2pt_PT
dc.identifier.doi10.1007/978-3-030-91885-9_19pt_PT
dc.identifier.isbn978-3-030-91884-2
dc.identifier.urihttp://hdl.handle.net/10198/25302
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAnimals trackingpt_PT
dc.subjectIoTpt_PT
dc.subjectGPSpt_PT
dc.subjectGrazing monitoringpt_PT
dc.subjectLoRaWANpt_PT
dc.titleAn IoT approach for animals trackingpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage280pt_PT
oaire.citation.startPage269pt_PT
oaire.citation.titleOptimization, Learning Algorithms and Applicationspt_PT
oaire.citation.volume1488pt_PT
person.familyNameZorawski
person.familyNameBrito
person.familyNameCastro
person.familyNameCastro
person.familyNameCastro
person.familyNameLima
person.givenNameMatheus
person.givenNameThadeu
person.givenNameJosé
person.givenNameJoão Paulo
person.givenNameMarina
person.givenNameJosé
person.identifierBjSISEAAAAAJ
person.identifier2303569
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person.identifier.orcid0000-0002-6368-8098
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridA-8581-2014
person.identifier.ridB-5197-2016
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57226754922
person.identifier.scopus-author-id57200694948
person.identifier.scopus-author-id57212000778
person.identifier.scopus-author-id21233448700
person.identifier.scopus-author-id56612728000
person.identifier.scopus-author-id55851941311
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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