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Smart Agricultural System using Proximal Sensing, Artificial Intelligence and LoRa technology

2024Artigo científico Acesso aberto
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dc.contributor.authorAraujo, Sara Oleiro
dc.contributor.authorPeres, Ricardo Silva
dc.contributor.authorPian, Livia Bischof
dc.contributor.authorLidon, Fernando
dc.contributor.authorRamalho, Jose Cochicho
dc.contributor.authorBarata, Jose
dc.contributor.institutionDCT - Departamento de Ciências da Terra
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.institutionDEE - Departamento de Engenharia Electrotécnica e de Computadores
dc.contributor.institutionGeoBioTec - Geobiociências, Geoengenharias e Geotecnologias
dc.contributor.pblInstitute of Electrical and Electronics Engineers (IEEE)
dc.date.accessioned2025-03-24T21:13:14Z
dc.date.available2025-03-24T21:13:14Z
dc.date.issued2024
dc.descriptionPublisher Copyright: © 2013 IEEE.
dc.description.abstractThe agricultural sector faces significant challenges, including resource inefficiency, unpredictable weather conditions, and the need for sustainable practices. These issues necessitate the application of advanced methods introduced by Agriculture 4.0 to ensure productivity and sustainability. This paper focus on the application of the Intelligent Data-Driven Decision Support System for Agricultural Systems (ID3SAS) methodology to a proximal sensing case study aimed at improving vineyard management via monitoring and predictive modeling with Artificial Intelligence. The developed system was deployed in vineyards in Portugal, and provided a robust test-bed for real-world application.en
dc.description.versionpublishersversion
dc.description.versioninpress
dc.format.extent3502997
dc.identifier.doi10.1109/ACCESS.2024.3482179
dc.identifier.issn2169-3536
dc.identifier.otherPURE: 107527279
dc.identifier.otherPURE UUID: 7ab54b16-485c-422e-b4b0-663e5a1a0ae9
dc.identifier.otherScopus: 85207629832
dc.identifier.urihttp://hdl.handle.net/10362/181224
dc.identifier.urlhttps://www.scopus.com/pages/publications/85207629832
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT
dc.relationCentre of Technology and Systems
dc.relationGeoBioSciences GeoTechnologies and GeoEngineering
dc.relationinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F00239%2F2020/PT
dc.relationinfo:eu-repo/grantAgreement/FCT/Concurso para Atribuição do Estatuto e Financiamento de Laboratórios Associados (LA)/LA%2FP%2F0092%2F2020/PT
dc.subjectAgriculture 4.0
dc.subjectDecision Support System
dc.subjectInternet of Things
dc.subjectLoRaWAN
dc.subjectMachine Learning
dc.subjectNode-RED
dc.subjectWireless Sensor Network
dc.subjectGeneral Computer Science
dc.subjectGeneral Materials Science
dc.subjectGeneral Engineering
dc.titleSmart Agricultural System using Proximal Sensing, Artificial Intelligence and LoRa technologyen
dc.title.subtitleA Case Study in Vineyard Managementen
dc.typejournal article
degois.publication.titleIEEE Access
degois.publication.volume12
dspace.entity.typePublication
oaire.awardNumberUIDB/00066/2020
oaire.awardNumberUIDP/04035/2020
oaire.awardNumberUIDB/00239/2020
oaire.awardNumberLA/P/0092/2020
oaire.awardTitleCentre of Technology and Systems
oaire.awardTitleGeoBioSciences GeoTechnologies and GeoEngineering
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04035%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F00239%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso para Atribuição do Estatuto e Financiamento de Laboratórios Associados (LA)/LA%2FP%2F0092%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
oaire.fundingStreamConcurso para Atribuição do Estatuto e Financiamento de Laboratórios Associados (LA)
project.funder.identifierhttp://doi.org/10.13039/501100001871
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project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication779ae807-14a4-4e58-87e2-6dd81eb7a030
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