Exploring the adoption of precision agriculture for irrigation in the context of agriculture 4.0: The key role of internet of things

dc.contributor.authorMONTELEONE, S.
dc.contributor.authorMORAES, E. A. DE
dc.contributor.authorDE FARIA, B. T.
dc.contributor.authorPlinio Thomaz Aquino Junior
dc.contributor.authorRodrigo Maia
dc.contributor.authorTORRE NETO, A.
dc.contributor.authorTOSCANO, A.
dc.contributor.authorOrcidhttps://orcid.org/0000-0002-5100-7443
dc.contributor.authorOrcidhttps://orcid.org/0000-0003-4870-3429
dc.date.accessioned2022-01-12T21:54:45Z
dc.date.available2022-01-12T21:54:45Z
dc.date.issued2020-12-02
dc.description.abstract© 2020 by the authors. Licensee MDPI, Basel, Switzerland.In recent years, the concept of Agriculture 4.0 has emerged as an evolution of precision agriculture (PA) through the diffusion of the Internet of things (IoT). There is a perception that the PA adoption is occurring at a slower pace than expected. Little research has been carried out about Agriculture 4.0, as well as to farmer behavior and operations management. This work explores what drives the adoption of PA in the Agriculture 4.0 context, focusing on farmer behavior and operations management. As a result of a multimethod approach, the factors explaining the PA adoption in the Agriculture 4.0 context and a model of irrigation operations management are proposed. Six simulation scenarios are performed to study the relationships among the factors involved in irrigation planning. Empirical findings contribute to a better understanding of what Agriculture 4.0 is and to expand the possibilities of IoT in the PA domain. This work also contributes to the discussion on Agriculture 4.0, thanks to multidisciplinary research bringing together the different perspectives of PA, IoT and operations management. Moreover, this research highlights the key role of IoT, considering the farmer’s possible choice to adopt several IoT sensing technologies for data collection.
dc.description.firstpage1
dc.description.issuenumber24
dc.description.lastpage32
dc.description.volume20
dc.identifier.citationMONTELEONE, S.; MORAES, E. A. DE; DE FARIA, B. T.; AQUINO JUNIOR, P. T.; MAIA, R.; TORRE NETO, A.; TOSCANO, A. Exploring the adoption of precision agriculture for irrigation in the context of agriculture 4.0: The key role of internet of things. Sensors (Switzerland), v. 20, n. 24, p. 1-32, dec. 2020.
dc.identifier.doi10.3390/s20247091
dc.identifier.issn1424-8220
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3616
dc.relation.ispartofSensors (Switzerland)
dc.rightsAcesso Aberto
dc.rights.licenseCreative Commons "Este é um artigo publicado em acesso aberto sob uma licença Creative commons (CC BY 4.0). Fonte: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097615587&origin=inward. Acesso em: 05 jan. 2023.
dc.subject.otherlanguageAdoption
dc.subject.otherlanguageAgriculture 4.0
dc.subject.otherlanguageFarmer behavior
dc.subject.otherlanguageInternet of things
dc.subject.otherlanguageIrrigation
dc.subject.otherlanguageOperations management
dc.subject.otherlanguagePrecision agriculture
dc.subject.otherlanguageSatellite
dc.subject.otherlanguageSensing technologies
dc.subject.otherlanguageWeather station
dc.titleExploring the adoption of precision agriculture for irrigation in the context of agriculture 4.0: The key role of internet of things
dc.typeArtigo
fei.scopus.citations34
fei.scopus.eid2-s2.0-85097615587
fei.scopus.subjectData collection
fei.scopus.subjectDiffusion of the internets
fei.scopus.subjectEmpirical findings
fei.scopus.subjectIrrigation planning
fei.scopus.subjectMulti-disciplinary research
fei.scopus.subjectMulti-method approach
fei.scopus.subjectOperations management
fei.scopus.subjectSensing technology
fei.scopus.subjectAgriculture
fei.scopus.subjectComputer Communication Networks
fei.scopus.subjectData Collection
fei.scopus.subjectInternet of Things
fei.scopus.subjectWireless Technology
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097615587&origin=inward
Arquivos
Pacote Original
Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
Maia_pdf
Tamanho:
2.96 MB
Formato:
Adobe Portable Document Format
Coleções