Characterising the agriculture 4.0 landscape - Emerging trends, challenges and opportunities

Detalhes bibliográficos
Autor(a) principal: Araújo, Sara Oleiro
Data de Publicação: 2021
Outros Autores: Peres, Ricardo Silva, Barata, José, Lidon, Fernando, Ramalho, José C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/22158
Resumo: Review
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spelling Characterising the agriculture 4.0 landscape - Emerging trends, challenges and opportunitiesagriculture 4.0artificial intelligencecloud computingdecision support systeminternet of thingsroboticssensorsReviewInvestment 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 sectorMDPIRepositório da Universidade de LisboaAraújo, Sara OleiroPeres, Ricardo SilvaBarata, JoséLidon, FernandoRamalho, José C.2021-10-07T10:33:42Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/22158engAraújo, S.O.; Peres, R.S.; Barata, J.; Lidon, F.; Ramalho, J.C. Characterising the Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities. Agronomy 2021, 11, 667https://doi.org/10.3390/agronomy11040667info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:51:43Zoai:www.repository.utl.pt:10400.5/22158Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:06:38.847716Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Characterising the agriculture 4.0 landscape - Emerging trends, challenges and opportunities
title Characterising the agriculture 4.0 landscape - Emerging trends, challenges and opportunities
spellingShingle Characterising the agriculture 4.0 landscape - Emerging trends, challenges and opportunities
Araújo, Sara Oleiro
agriculture 4.0
artificial intelligence
cloud computing
decision support system
internet of things
robotics
sensors
title_short Characterising the agriculture 4.0 landscape - Emerging trends, challenges and opportunities
title_full Characterising the agriculture 4.0 landscape - Emerging trends, challenges and opportunities
title_fullStr Characterising the agriculture 4.0 landscape - Emerging trends, challenges and opportunities
title_full_unstemmed Characterising the agriculture 4.0 landscape - Emerging trends, challenges and opportunities
title_sort Characterising the agriculture 4.0 landscape - Emerging trends, challenges and opportunities
author Araújo, Sara Oleiro
author_facet Araújo, Sara Oleiro
Peres, Ricardo Silva
Barata, José
Lidon, Fernando
Ramalho, José C.
author_role author
author2 Peres, Ricardo Silva
Barata, José
Lidon, Fernando
Ramalho, José C.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Araújo, Sara Oleiro
Peres, Ricardo Silva
Barata, José
Lidon, Fernando
Ramalho, José C.
dc.subject.por.fl_str_mv agriculture 4.0
artificial intelligence
cloud computing
decision support system
internet of things
robotics
sensors
topic agriculture 4.0
artificial intelligence
cloud computing
decision support system
internet of things
robotics
sensors
description Review
publishDate 2021
dc.date.none.fl_str_mv 2021-10-07T10:33:42Z
2021
2021-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/22158
url http://hdl.handle.net/10400.5/22158
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Araújo, S.O.; Peres, R.S.; Barata, J.; Lidon, F.; Ramalho, J.C. Characterising the Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities. Agronomy 2021, 11, 667
https://doi.org/10.3390/agronomy11040667
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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