Fostering interoperability in agricultural data spaces: A DIVINE use case

The establishment of a "Common European Agricultural Data Space" is among the European Commission’s key priorities within the agricultural domain, aligning with the directives set forth in the recent European Strategy for Data. A core objective includes the creation of a single data market in which anyone can circulate freely and utilize data within the EU and across domains, fostering benefits for all stakeholders. Various frameworks and methodologies have already been implemented to monitor both public and private agricultural data aiming to overcome challenges caused by the complexity of large-scale data management. However, a critical gap still exists in the form of insufficient tools, models, and even policies to facilitate the seamless, transparent, and secure interoperability of agricultural data infrastructures that largely remain siloed. Despite efforts to facilitate, significant challenges persist at all aspects of interoperability. From a technological perspective, the highly fragmented and heterogeneous nature of current systems, coupled with the absence of widely adopted standardized solutions, constitutes a major obstacle. The present paper describes the DIVINE approach and the models and protocols to facilitate technical interoperability in the agricultural sector and the respective results are to be integrated into the DIVINE Agriculture Data Spaces Ecosystem (ADSE), which will enable seamless and secure data exchange services across heterogeneous systems and formats with different data models.

Authors

Institutions

Publication Details

Published
2025-08-04
DOI
https://doi.org/10.1109/coins65080.2025.11125729
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fostering interoperability in agricultural data spaces: A DIVINE use case

Marios Paraskevopoulos, Ioanna Roussaki
Smart Agriculture and AI
article

Fostering interoperability in agricultural data spaces: A DIVINE use case

Marios Paraskevopoulos, Ioanna Roussaki
article en

Abstract

The establishment of a "Common European Agricultural Data Space" is among the European Commission’s key priorities within the agricultural domain, aligning with the directives set forth in the recent European Strategy for Data. A core objective includes the creation of a single data market in which anyone can circulate freely and utilize data within the EU and across domains, fostering benefits for all stakeholders. Various frameworks and methodologies have already been implemented to monitor both public and private agricultural data aiming to overcome challenges caused by the complexity of large-scale data management. However, a critical gap still exists in the form of insufficient tools, models, and even policies to facilitate the seamless, transparent, and secure interoperability of agricultural data infrastructures that largely remain siloed. Despite efforts to facilitate, significant challenges persist at all aspects of interoperability. From a technological perspective, the highly fragmented and heterogeneous nature of current systems, coupled with the absence of widely adopted standardized solutions, constitutes a major obstacle. The present paper describes the DIVINE approach and the models and protocols to facilitate technical interoperability in the agricultural sector and the respective results are to be integrated into the DIVINE Agriculture Data Spaces Ecosystem (ADSE), which will enable seamless and secure data exchange services across heterogeneous systems and formats with different data models.

Institute of Communication and Computer Systems (GR)
European Commission, HORIZON EUROPE Framework Programme
Zero hunger
Openalex Percentile: Top 84%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fostering interoperability in agricultural data spaces: A DIVINE use case — Marios Paraskevopoulos, Ioanna Roussaki · (2025) | TGRS Research Map | TGRS