Logo do repositório
 
Publicação

Empowering olive cultivation with artificial intelligence: a systematic literature review on advancements and prospects

2026Artigo científico Acesso aberto
Ver registo simples
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosCiências Agrárias::Agricultura, Silvicultura e Pescas
datacite.subject.sdg02:Erradicar a Fome
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorMendes, João
dc.contributor.authorLima, José
dc.contributor.authorCosta, Lino
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2026-02-24T10:52:36Z
dc.date.available2026-02-24T10:52:36Z
dc.date.issued2026
dc.description.abstractThis study provides a Systematic Literature Review on the application of Artificial Intelligence algorithms in the primary sector of olive cultivation. It compiles and analyses a collection of studies that leverage AI to enhance the efficiency and sustainability of olive production, maintenance, and harvesting processes. In this study, 43 papers were reviewed from the databases IEEE, Scopus, and Web of Science through the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method. This research aims to identify AI applications in the primary olive growing sector. The findings highlight a significant trend toward adopting advanced AI techniques, particularly Deep Learning algorithms such as Convolutional Neural Networks, for many tasks ranging from cultivar identification and foliar disease classification to crop yield forecasting with high accuracies.eng
dc.description.sponsorshipThis work was supported by FCT - Fundação para a Ciência e Tecnologia, I.P. by projects: CeDRI, UID/05757/2025 (DOI: 10.54499/UID/05757/2025) and UID/PRR/05757/2025 (DOI: 10.54499/UID/PRR/05757/2025); SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/ P/0007/2020) and Algoritmi UIDB/00319/2020.
dc.identifier.citationMendes, João; Lima, José; Costa, Lino; Pereira, Ana I. (2026). Empowering olive cultivation with artificial intelligence: a systematic literature review on advancements and prospects. Neural Networks. DOI: 10.1007/s00500-025-11067-z. p. 1-14
dc.identifier.doi10.1007/s00500-025-11067-z
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.urihttp://hdl.handle.net/10198/35835
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Science and Business Media LLC
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.relationALGORITMI Research Center
dc.relation.ispartofSoft Computing
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectAgriculture
dc.subjectAgronomy
dc.subjectComputational intelligence
dc.subjectHorticulture
dc.subjectOlericulture
dc.subjectArtificial intelligence
dc.subjectDeep learning applications in plant disease detection
dc.titleEmpowering olive cultivation with artificial intelligence: a systematic literature review on advancements and prospectseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardTitleALGORITMI Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT
oaire.citation.endPage14
oaire.citation.startPage1
oaire.citation.titleNeural Networks
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMendes
person.familyNameLima
person.familyNamePereira
person.givenNameJoão
person.givenNameJosé
person.givenNameAna I.
person.identifier2726655
person.identifierR-000-8GD
person.identifier.ciencia-idEA1F-844D-6BA9
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0003-0979-8314
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridL-3370-2014
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id57225794972
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationb5c9de22-cf9e-47b8-b7a4-26e08fb12b28
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublicatione9981d62-2a2b-4fef-b75e-c2a14b0e7846
relation.isAuthorOfPublication.latestForDiscoveryd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isProjectOfPublication6255046e-bc79-4b82-8884-8b52074b4384
relation.isProjectOfPublication0d98f999-8fd3-46a8-8a71-a7ff478a1207
relation.isProjectOfPublication.latestForDiscovery6255046e-bc79-4b82-8884-8b52074b4384

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
Empowering olive cultivation with artificial intelligence.pdf
Tamanho:
1.42 MB
Formato:
Adobe Portable Document Format
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.75 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

ESTiG - Artigos em Revistas Indexados à WoS/Scopus