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The digital twin paradigm applied to soil quality assessment: a systematic literature review

dc.contributor.authorSilva, Letícia
dc.contributor.authorRodríguez-Sedano, Francisco Jesús
dc.contributor.authorBaptista, Paula
dc.contributor.authorCoelho, João Paulo
dc.date.accessioned2023-02-22T15:00:22Z
dc.date.available2023-02-22T15:00:22Z
dc.date.issued2023
dc.description.abstractThis article presents the results regarding a systematic literature review procedure on digital twins applied to precision agriculture. In particular, research and development activities aimed at the use of digital twins, in the context of predictive control, with the purpose of improving soil quality. This study was carried out through an exhaustive search of scientific literature on five different databases. A total of 158 articles were extracted as a result of this search. After a first screening process, only 11 articles were considered to be aligned with the current topic. Subsequently, these articles were categorised to extract all relevant information, using the preferred reporting items for systematic reviews and meta-analyses methods. Based on the obtained results, there are two main conclusions to draw: First, when compared with industrial processes, there is only a very slight rising trend regarding the use of digital twins in agriculture. Second, within the time frame in which this work was carried out, it was not possible to find any published paper on the use of digital twins for soil quality improvement within a model predictive control context.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, Letícia; Rodríguez-Sedano, Francisco; Baptista, Paula; Coelho, João Paulo (2023). The digital twin paradigm applied to soil quality assessment: a systematic literature review. Sensors. 23:2pt_PT
dc.identifier.doi10.3390/s23021007pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27095
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPrecision agriculturept_PT
dc.subjectDigital twinspt_PT
dc.subjectSoil qualitypt_PT
dc.subjectSystematic reviewpt_PT
dc.titleThe digital twin paradigm applied to soil quality assessment: a systematic literature reviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue2pt_PT
oaire.citation.titleSensorspt_PT
oaire.citation.volume23pt_PT
person.familyNameSilva
person.familyNameBaptista
person.familyNameCoelho
person.givenNameLetícia
person.givenNamePaula
person.givenNameJoão Paulo
person.identifierR-001-EXZ
person.identifier.ciencia-idC01E-87BA-67D7
person.identifier.ciencia-id7D11-FE1E-CD0F
person.identifier.ciencia-idD61E-A586-7D4A
person.identifier.orcid0000-0003-3812-2794
person.identifier.orcid0000-0001-6331-3731
person.identifier.orcid0000-0002-7616-1383
person.identifier.ridJ-6887-2013
person.identifier.scopus-author-id14051688000
person.identifier.scopus-author-id55137039300
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationa2aa1be8-574c-4e0b-afd6-d3c61efad820
relation.isAuthorOfPublication3f35226a-b17a-4f7d-8da1-3297105cbfe9
relation.isAuthorOfPublication2861f33b-b49a-421d-9bfa-92b4304d2668
relation.isAuthorOfPublication.latestForDiscovery2861f33b-b49a-421d-9bfa-92b4304d2668

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