Publicação
Architecture for efficient food management and waste reduction
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.fos | Ciências Agrárias::Biotecnologia Agrária e Alimentar | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| datacite.subject.sdg | 12:Produção e Consumo Sustentáveis | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| dc.contributor.author | Pereira, Hélder | |
| dc.contributor.author | Oliveira, Pedro Filipe | |
| dc.contributor.author | Matos, Paulo | |
| dc.date.accessioned | 2026-03-02T16:04:13Z | |
| dc.date.available | 2026-03-02T16:04:13Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | This article presents a modular architecture for developing the ZeroWaste mobile application, designed to optimize food management in the home environment and reduce food waste through collaborative and scalable features. Food waste is a global issue with severe environmental, economic, and social repercussions, and ZeroWaste seeks to address this challenge by promoting conscious and sustainable consumption practices. Developed in React Native to support multiple platforms, the application integrates Firebase for authentication, notifications, and real-time data storage, enabling timely alerts on product expiration and facilitating user control over food inventory. Additionally, it incorporates an artificial intelligence module that suggests personalized recipes based on available products, encouraging food usage before spoilage. The proposed architecture also includes an automated product registration system using barcode scanning, supporting the creation of a community database that streamlines food item identification. Other features, such as shared shopping lists and multi-residence inventory management, expand the collaborative scope of the application, fostering the exchange and donation of food between users. With its flexible and expandable design, ZeroWaste is oriented towards continuous development and future improvements, meeting the growing need for technological solutions in sustainable and collaborative food management. This architectural proposal provides a robust foundation for developing an innovative solution. | eng |
| dc.description.sponsorship | Work supported by national funds through FCT/MCTES (PIDDAC): CeDRI, UIDB/05757/2020 (DOI: 10.54499/UIDB/05757/2020) and UIDP/05757/2020 (DOI:10.54499/UIDP/05757/2020); and SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020). | |
| dc.identifier.citation | Pereira, Hélder; Oliveira, Pedro Filipe; Matos, Paulo (2024). Architecture for Efficient food management and waste reduction. In 10th International Conference on Engineering and Emerging Technologies, ICEET 2024. ISSN 2409-2983. p. 1-6 | |
| dc.identifier.doi | 10.1109/65156.2024.10913896 | |
| dc.identifier.isbn | 979-8-3315-3289-5 | |
| dc.identifier.issn | 2409-2983 | |
| dc.identifier.uri | http://hdl.handle.net/10198/35919 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | IEEE | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| dc.relation.ispartof | 2024 International Conference on Engineering and Emerging Technologies (ICEET) | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Food waste | |
| dc.subject | Food management | |
| dc.subject | Community collaboration | |
| dc.subject | Sustainable consumption | |
| dc.subject | React Native | |
| dc.subject | Artificial intelligence | |
| dc.title | Architecture for efficient food management and waste reduction | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDB/05757/2020 | |
| oaire.awardNumber | UIDP/05757/2020 | |
| oaire.awardNumber | LA/P/0007/2020 | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT | |
| oaire.citation.endPage | 6 | |
| oaire.citation.startPage | 1 | |
| oaire.citation.title | 10th International Conference on Engineering and Emerging Technologies, ICEET 2024 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Oliveira | |
| person.familyName | Matos | |
| person.givenName | Pedro Filipe | |
| person.givenName | Paulo | |
| person.identifier | R-002-2BA | |
| person.identifier.ciencia-id | 7E15-B360-5AD3 | |
| person.identifier.ciencia-id | DD15-B2BC-3908 | |
| person.identifier.orcid | 0000-0002-2848-1606 | |
| person.identifier.orcid | 0000-0003-0010-4777 | |
| person.identifier.rid | C-7882-2017 | |
| person.identifier.rid | I-5726-2018 | |
| person.identifier.scopus-author-id | 57193342842 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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