Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/115196
DC FieldValueLanguage
dc.contributor.authorMonteiro, José-
dc.contributor.authorBarata, João-
dc.contributor.authorVeloso, Marco-
dc.contributor.authorVeloso, Luís-
dc.contributor.authorNunes, João-
dc.date.accessioned2024-05-19T16:09:39Z-
dc.date.available2024-05-19T16:09:39Z-
dc.date.issued2022-
dc.identifier.issn1868-5137pt
dc.identifier.issn1868-5145pt
dc.identifier.urihttps://hdl.handle.net/10316/115196-
dc.descriptionFree read-only access to the final published version by Springer at https://rdcu.be/dInLRpt
dc.description.abstractDigital twins transform agriculture with three-dimensional replicas of governable physical objects and intelligent collaboration for a sustainable bioeconomy. However, their success depends on (1) scaling up resiliency in industry-ready solutions, (2) evaluating performance in near real-time monitoring of the agri-food infrastructure, and (3) delivering design guidelines and field instantiations to inspire the practitioners. This work addresses these challenges in a two-year-long design science research, aiming to reach industrial demonstration technology readiness (TRL7) in a vertical farm structure supported by digital twin technology. Vertical farms pose new challenges for agriculture, taking advantage of three-dimensional productive spaces that change over time. Furthermore, digital twins reveal the potential to warrant more rational use of resources, food protection, prevention of disruptions, and food product traceability. For design-time scalability, this research defines the digital twin requirements for vertical farms and identifies the necessary conditions for the operational environment. For run-time scalability, the study reveals a physical and digital infrastructure that managers can use to develop their vision for vertical farming in more uncertain environments, demanding resiliency and near real-time optimization.pt
dc.language.isoengpt
dc.publisherSpringerpt
dc.relationThis study was co-funded by BLC3 COMPETE 2020 [3iBioeconomia: POCI-01-0246-FEDER-026758]; MCTES (Ministério da Ciência, Tecnologia e Ensino Superior); Fundação para a Ciência e Tecnologia (FCT) [SFRH/BDE/100385/2014]; and Association BLC3 – Technology and Innovation Campus – Centre Bio R&D Unit (UID/05083/2020). It was also co-funded by national funds of FCT – Foundation for Science and Technology, IP, within the scope of project CISUC – UID/CEC/00326/2020 and by European Social Fund, through the Regional Operation Program Centro 2020.pt
dc.rightsopenAccesspt
dc.subjectVertical farmpt
dc.subjectResiliencypt
dc.subjectDigital twinpt
dc.subjectScalable digitalizationpt
dc.subjectDesign science researchpt
dc.titleA scalable digital twin for vertical farmingpt
dc.typearticle-
degois.publication.firstPage13981pt
degois.publication.lastPage13996pt
degois.publication.issue10pt
degois.publication.titleJournal of Ambient Intelligence and Humanized Computingpt
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s12652-022-04106-2pt
dc.peerreviewedyespt
dc.identifier.doi10.1007/s12652-022-04106-2pt
degois.publication.volume14pt
dc.date.embargo2022-01-01*
uc.date.periodoEmbargo0pt
item.openairetypearticle-
item.fulltextCom Texto completo-
item.languageiso639-1en-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:FCTUC Eng.Informática - Artigos em Revistas Internacionais
Files in This Item:
File Description SizeFormat
JAIHC_DigitalTwin.pdf1.42 MBAdobe PDFView/Open
Show simple item record

Page view(s)

19
checked on Jul 17, 2024

Download(s)

8
checked on Jul 17, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.