Publicação
Enhancing agricultural audit systems with IoT and predictive analytics: deployment and performance
| datacite.subject.fos | Ciências Agrárias::Agricultura, Silvicultura e Pescas | |
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.sdg | 02:Erradicar a Fome | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| datacite.subject.sdg | 12:Produção e Consumo Sustentáveis | |
| datacite.subject.sdg | 13:Ação Climática | |
| dc.contributor.author | Correia, Maria Patrocínia | |
| dc.contributor.author | Alves, Joaquim | |
| dc.contributor.author | Sequeira, Romeu | |
| dc.contributor.author | Exposto, José | |
| dc.date.accessioned | 2026-03-11T12:20:51Z | |
| dc.date.available | 2026-03-11T12:20:51Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | This article proposes an extension of a geospatial-based agricultural audit platform by integrating Internet of Things technologies and predictive analytics. It builds on previous work to address field connectivity, scalability, and risk anticipation. The proposal outlines a modular architecture, identifies technical challenges and mitigation strategies, and presents use cases for different user profiles. Ethical, legal, and environmental implications of digitalisation are also discussed. This conceptual work supports future experimental validation and highlights the potential of digital transformation to enhance compliance with the Common Agricultural Policy and align with the European Green Deal priorities. | eng |
| dc.identifier.citation | Correia, Maria Patrocínia; Alves, Joaquim; Sequeira, Romeu; Exposto, José (2025) Enhancing agricultural audit systems with IoT and predictive analytics: deployment and performance. International Conference on Application of Information and Communication Technologies. p. 1-6. ISBN 979-833159342-1. DOI: 10.1109/67988.2025.11268564 | |
| dc.identifier.doi | 10.1109/67988.2025.11268564 | |
| dc.identifier.isbn | 979-833159342-1 | |
| dc.identifier.uri | http://hdl.handle.net/10198/36023 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | 2025 IEEE 19th International Conference on Application of Information and Communication Technologies (AICT) | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Agricultural audit management | |
| dc.subject | Geospatial data integration | |
| dc.subject | Internet of things | |
| dc.subject | Predictive analytics | |
| dc.title | Enhancing agricultural audit systems with IoT and predictive analytics: deployment and performance | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 6 | |
| oaire.citation.startPage | 1 | |
| oaire.citation.title | Application of Information and Communication Technologies | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Correia | |
| person.familyName | Exposto | |
| person.givenName | Maria Patrocínia | |
| person.givenName | José | |
| person.identifier.ciencia-id | 1513-B2C4-D584 | |
| person.identifier.ciencia-id | DA10-808F-99EA | |
| person.identifier.orcid | 0000-0001-7192-5631 | |
| person.identifier.orcid | 0000-0003-3857-6083 | |
| person.identifier.scopus-author-id | 56619498700 | |
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| relation.isAuthorOfPublication | 66fd8128-90b1-4754-936e-2d9e9e0829ec | |
| relation.isAuthorOfPublication.latestForDiscovery | 62cfc09f-f426-4e3c-ba9e-380e6b1958f6 |