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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1185957Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | BERGIER, I. | |
| dc.contributor.author | BARBEDO, J. G. A. | |
| dc.contributor.author | BOLFE, E. L. | |
| dc.contributor.author | DRUCKER, D. P. | |
| dc.contributor.author | SOARES, F. M. | |
| dc.date.accessioned | 2026-03-31T17:54:54Z | - |
| dc.date.available | 2026-03-31T17:54:54Z | - |
| dc.date.created | 2026-03-31 | |
| dc.date.issued | 2026 | |
| dc.identifier.citation | Automation, v. 7, n. 2, 57, 2026. | |
| dc.identifier.issn | 2673-4052 | |
| dc.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1185957 | - |
| dc.description | New regulations, such as the EU Deforestation-Free Regulation (EUDR), make verifiable agricultural data (AgData) essential for global trade. However, its value is compromised by a widespread “AgData Paradox”, characterized by distrust and fragmentation. To address this problem, we present AgriTrust, a federated semantic governance framework that automates and governs data sharing. Its key methodological innovation lies in the deep integration of a multi-sectorial governance model with a semantic digital layer, implemented through the AgriTrust Ontology (an OWL ontology for tokenization and traceability) and a multi-vendor, blockchain-agnostic architecture that avoids single-vendor dependence. We demonstrate the framework’s feasibility through simulated case studies in three critical Brazilian supply chains: coffee (EUDR compliance), soybean (mass balance), and beef (animal traceability). Using a semantic reasoning pipeline on a proof-of-concept federated knowledge graph of 2010 triples, we show how AgriTrust enables verifiable provenance representation, automated compliance checking via executable data contracts, and cross-platform asset management. The results provide initial evidence that AgriTrust offers a conceptually coherent blueprint for agricultural data sharing, though operational deployment, scalability testing, and performance validation under real-world conditions remain as future work. | |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Compartilhamento de dados agrícolas | |
| dc.subject | Economia de dados agrícolas | |
| dc.subject | Soberania de dados | |
| dc.subject | Interoperabilidade semântica | |
| dc.subject | Rastreabilidade da cadeia de suprimentos | |
| dc.subject | Agricultural data economy | |
| dc.subject | Data sovereignty | |
| dc.subject | Open Digital Rights Language | |
| dc.subject | Shapes Constraint Language | |
| dc.subject | Semantic interoperability | |
| dc.subject | Supply chain traceability | |
| dc.subject | W3C Verifiable Credentials | |
| dc.title | The AgriTrust framework: federated semantic governance for trusted and interoperable agricultural data sharing. | |
| dc.type | Artigo de periódico | |
| riaa.ainfo.id | 1185957 | |
| riaa.ainfo.lastupdate | 2026-03-31 | |
| dc.identifier.doi | https://doi.org/10.3390/automation7020057 | |
| dc.contributor.institution | IVAN BERGIER TAVARES DE LIMA, CNPTIA; JAYME GARCIA ARNAL BARBEDO, CNPTIA; EDSON LUIS BOLFE, CNPTIA; DEBORA PIGNATARI DRUCKER, CNPTIA; FILIPI MIRANDA SOARES, UNIVERSITY OF MONTPELLIER. | |
| Appears in Collections: | Artigo em periódico indexado (CNPTIA)![]() ![]() | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| AP-AgriTrust-framework-2026.pdf | 1,94 MB | Adobe PDF | View/Open |







