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Sustainably enhancing olive oil production: intelligent system architecture

2025Comunicação em conferência Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorAlcantara, Carlos Boduar
dc.contributor.authorJorge, Luísa
dc.contributor.authorVaz, Clara B.
dc.date.accessioned2026-03-16T15:42:13Z
dc.date.available2026-03-16T15:42:13Z
dc.date.issued2025
dc.description.abstractOlive oil production is a noteworthy economic activity in multiple places worldwide. Due to environmental degradation and lack of resources with population growth, there is a global tendency for more sustainable and efficient practices, driving the implementation of more responsible agricultural and industrial systems. This paper aims to develop an intelligent system architecture focused on optimizing the production of olive oil, improving product quality, reducing operational waste, and maximizing the efficient use of natural resources. Through the use of Industrial Internet of Things (IIoT) technologies, the proposed solution aims to monitor and control the parameters of olive oil production automatically. In addition, the study addresses sensors already used in the market and existing systems to compare and seek improvements. The proposed architecture contains three layers: device, edge, and cloud computing layer, which are integrated and enable the implementation of a scalable and complete solution that allows real-time visualization and control of the production process.eng
dc.description.sponsorshipThis work was supported by Plano de Recuperação e Resiliência, within the project “SustainOlive”, PRR-C05-i03-I-000187. The authors are also grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/ MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020), SusTEC (LA/P/0007/2021).
dc.identifier.citationAlcantara, Carlos Boduar; Jorge, Luísa; Vaz, Clara B. (2025). Sustainably enhancing olive oil production: intelligent system architecture. In 24th International Symposium Infoteh-Jahorina. Bósnia e Herzegovina. DOI: 10.1109/64129.2025.10959202
dc.identifier.doi10.1109/64129.2025.10959202
dc.identifier.urihttp://hdl.handle.net/10198/36088
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationNEXTGENmOCp: Next generation of a microfluidic Organ-on-a-Chip platform (mOCp) to assess and diagnosis therapeutic effects of innovative nanomedicines
dc.relation.ispartof2025 24th International Symposium INFOTEH-JAHORINA (INFOTEH)
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.subjectIoT
dc.subjectIIoT
dc.subjectDigital twin
dc.subjectIndustrial automation
dc.subjectDigitalization
dc.subjectEfficient production
dc.subjectSustainability
dc.titleSustainably enhancing olive oil production: intelligent system architectureeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDP/05757/2020
oaire.awardNumber2021.00027.CEECIND/CP1664/CT0007
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleNEXTGENmOCp: Next generation of a microfluidic Organ-on-a-Chip platform (mOCp) to assess and diagnosis therapeutic effects of innovative nanomedicines
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND4ed/2021.00027.CEECIND%2FCP1664%2FCT0007/PT
oaire.citation.conferenceDate2025
oaire.citation.conferencePlaceBósnia e Herzegovina
oaire.citation.title24th International Symposium Infoteh-Jahorina
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamCEEC IND4ed
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameJorge
person.familyNameVaz
person.givenNameLuísa
person.givenNameClara B.
person.identifierR-001-FQC
person.identifier.ciencia-idAB16-0263-87CB
person.identifier.ciencia-id9611-3386-E516
person.identifier.orcid0000-0002-0623-7282
person.identifier.orcid0000-0001-9862-6068
person.identifier.ridF-5156-2014
person.identifier.ridF-1519-2016
person.identifier.scopus-author-id22134881600
person.identifier.scopus-author-id56352045500
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.isAuthorOfPublication103e1f8c-bbdc-4ea3-a014-7b3b69ae5a00
relation.isAuthorOfPublication34bc350c-28d9-4b06-9874-b2b0dba58d1d
relation.isAuthorOfPublication.latestForDiscovery103e1f8c-bbdc-4ea3-a014-7b3b69ae5a00
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