Publication
Development of an IoT-Based Device for Data Collection on Sheep and Goat Herding in Silvopastoral Systems
dc.contributor.author | Araujo, Mateus | |
dc.contributor.author | Leitão, Paulo | |
dc.contributor.author | Castro, Marina | |
dc.contributor.author | Castro, José | |
dc.contributor.author | Bernuy, Miguel | |
dc.date.accessioned | 2024-09-25T15:46:09Z | |
dc.date.available | 2024-09-25T15:46:09Z | |
dc.date.issued | 2024 | |
dc.description.abstract | To evaluate the ecosystem services of silvopastoral systems through grazing activities, an advanced Internet of Things (IoT) framework is introduced for capturing extensive data on the spatial dynamics of sheep and goat grazing. The methodology employed an innovative IoT system, integrating a Global Navigation Satellite System (GNSS) tracker and environmental sensors mounted on the animals to accurately monitor the extent, intensity, and frequency of grazing. The experimental results demonstrated the high performance and robustness of the IoT system, with minimal data loss and significant battery efficiency, validating its suitability for long-term field evaluations. Long Range (LoRa) technology ensured consistent communication over long distances, covering the entire grazing zone and a range of 6 km in open areas. The superior battery performance, enhanced by a solar panel, allowed uninterrupted operation for up to 37 days with 5-min interval acquisitions. The GNSS module provided high-resolution data on movement patterns, with an accuracy of up to 10 m after firmware adjustments. The two-part division of the device ensured it did not rotate on the animals’ necks. The system demonstrated adaptability and resilience in various terrains and animal conditions, confirming the viability of IoT-based systems for pasture monitoring and highlighting their potential to improve silvopastoral management, promoting sustainable practices and conservation strategies. This work uniquely focuses on documenting the shepherd’s role in the ecosystem, providing a low-cost solution that distinguishes itself from commercial alternatives aimed primarily at real-time flock tracking. | pt_PT |
dc.description.sponsorship | This research was funded by Portuguese national funds through the Foundation for Science and Technology (FCT) under the projects PASTOPRAXIS (MTS/CAC/0028/2020), FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020), and SusTEC (LA/P/0007/2021). | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Araujo, Mateus; Leitão, Paulo; Castro, Marina; Castro, José; Bernuy, Miguel (2024). Development of an IoT-Based Device for Data Collection on Sheep and Goat Herding in Silvopastoral Systems. Sensors, ISSN 1424-8220. 24:17, p. 1-24 | pt_PT |
dc.identifier.doi | 10.3390/s24175528 | pt_PT |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | http://hdl.handle.net/10198/30277 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | MDPI | pt_PT |
dc.relation | LA/P/0007/2021 | pt_PT |
dc.relation | Local adaptative responses of pastoralism to climate change in the Natural Park of Montesinho (Portugal) | |
dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | IoT | pt_PT |
dc.subject | GNSS | pt_PT |
dc.subject | Grazing activity | pt_PT |
dc.subject | Sheep and goats | pt_PT |
dc.subject | LoRa | pt_PT |
dc.subject | Silvopastoral systems | pt_PT |
dc.subject | Data collection | pt_PT |
dc.title | Development of an IoT-Based Device for Data Collection on Sheep and Goat Herding in Silvopastoral Systems | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardTitle | Local adaptative responses of pastoralism to climate change in the Natural Park of Montesinho (Portugal) | |
oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/Projetos de IC&DT para a promoção de atividades de I&D de âmbito interdisciplinar e pluridisciplinar a realizar na região do Parque Natural do Montesinho/MTS%2FCAC%2F0028%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
oaire.citation.endPage | 24 | pt_PT |
oaire.citation.issue | 17 | pt_PT |
oaire.citation.startPage | 1 | pt_PT |
oaire.citation.title | Sensors | pt_PT |
oaire.citation.volume | 24 | pt_PT |
oaire.fundingStream | Projetos de IC&DT para a promoção de atividades de I&D de âmbito interdisciplinar e pluridisciplinar a realizar na região do Parque Natural do Montesinho | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Costa de Araujo | |
person.familyName | Leitao | |
person.familyName | Castro | |
person.familyName | Castro | |
person.givenName | Mateus | |
person.givenName | Paulo | |
person.givenName | Marina | |
person.givenName | José | |
person.identifier | A-8390-2011 | |
person.identifier | 2303569 | |
person.identifier.ciencia-id | 6911-D769-BAD7 | |
person.identifier.ciencia-id | 8316-8F13-DA71 | |
person.identifier.ciencia-id | 6417-7D8D-FD7E | |
person.identifier.ciencia-id | 8611-5EFE-2FCE | |
person.identifier.orcid | 0009-0007-8853-0047 | |
person.identifier.orcid | 0000-0002-2151-7944 | |
person.identifier.orcid | 0000-0002-6368-8098 | |
person.identifier.orcid | 0000-0003-4987-8175 | |
person.identifier.rid | B-5197-2016 | |
person.identifier.scopus-author-id | 35584388900 | |
person.identifier.scopus-author-id | 56612728000 | |
person.identifier.scopus-author-id | 57212000778 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 9962dc23-b1a1-4d65-adb1-4a116e7a1312 | |
relation.isAuthorOfPublication | 68d9eb25-ad4f-439b-aeb2-35e8708644cc | |
relation.isAuthorOfPublication | a7a3b08e-9d22-4faf-9224-36924d8ce7c8 | |
relation.isAuthorOfPublication | 8c5ccc1d-3740-4d81-8dd1-6b3f37003efc | |
relation.isAuthorOfPublication.latestForDiscovery | a7a3b08e-9d22-4faf-9224-36924d8ce7c8 | |
relation.isProjectOfPublication | 697a66ff-f7c5-4bda-ae16-72163a0c6902 | |
relation.isProjectOfPublication | 6e01ddc8-6a82-4131-bca6-84789fa234bd | |
relation.isProjectOfPublication | d0a17270-80a8-4985-9644-a04c2a9f2dff | |
relation.isProjectOfPublication.latestForDiscovery | 6e01ddc8-6a82-4131-bca6-84789fa234bd |