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Characterising the agriculture 4.0 landscape—emerging trends, challenges and opportunities

2021-04-01Recensão Acesso aberto
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dc.contributor.authorAraújo, Sara Oleiro
dc.contributor.authorPeres, Ricardo Silva
dc.contributor.authorBarata, José
dc.contributor.authorLidon, Fernando
dc.contributor.authorRamalho, José Cochicho
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.institutionDCT - Departamento de Ciências da Terra
dc.contributor.institutionDEE - Departamento de Engenharia Electrotécnica e de Computadores
dc.contributor.institutionDEE2010-C2 Robótica e Manufactura Integrada por Computador
dc.contributor.institutionGeoBioTec - Geobiociências, Geoengenharias e Geotecnologias
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2022-03-16T23:23:07Z
dc.date.available2022-03-16T23:23:07Z
dc.date.issued2021-04-01
dc.descriptionUIDB/00066/2020 UIDP/04035/2020 UIDB/00239/2020
dc.description.abstractInvestment in technological research is imperative to stimulate the development of sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and sensor networks, robotics, artificial intelligence, big data, cloud computing, etc. foster the transition towards the Agriculture 4.0 era. This fourth revolution is currently seen as a possible solution for improving agricultural growth, ensuring the future needs of the global population in a fair, resilient and sustainable way. In this context, this article aims at characterising the current Agriculture 4.0 landscape. Emerging trends were compiled using a semi-automated process by analysing relevant scientific publications published in the past ten years. Subsequently, a literature review focusing these trends was conducted, with a particular emphasis on their applications in real environments. From the results of the study, some challenges are discussed, as well as opportunities for future research. Finally, a high-level cloud-based IoT architecture is presented, serving as foundation for designing future smart agricultural systems. It is expected that this work will positively impact the research around Agriculture 4.0 systems, providing a clear characterisation of the concept along with guidelines to assist the actors in a successful transition towards the digitalisation of the sector.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent1511598
dc.identifier.doi10.3390/agronomy11040667
dc.identifier.issn2073-4395
dc.identifier.otherPURE: 36678803
dc.identifier.otherPURE UUID: 8b019597-cfd7-4926-842b-dc31130da1ce
dc.identifier.otherScopus: 85108704451
dc.identifier.otherWOS: 000642671800001
dc.identifier.urihttp://hdl.handle.net/10362/134682
dc.identifier.urlhttps://www.scopus.com/pages/publications/85108704451
dc.language.isoeng
dc.peerreviewedyes
dc.subjectAgriculture 4.0
dc.subjectArtificial intelligence
dc.subjectCloud computing
dc.subjectDecision support system
dc.subjectInternet of things
dc.subjectRobotics
dc.subjectSensors
dc.subjectAgronomy and Crop Science
dc.titleCharacterising the agriculture 4.0 landscape—emerging trends, challenges and opportunitiesen
dc.typereview
degois.publication.issue4
degois.publication.titleAgronomy
degois.publication.volume11
dspace.entity.typePublication
rcaap.rightsopenAccess

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