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CORDIS - Forschungsergebnisse der EU
CORDIS

DemonstratIng Value of agri data sharIng for boostiNg data Economy in agriculture

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Data Management Plan (öffnet in neuem Fenster)

It is the output of Task 1.5 and it corresponds to the initial Data Management Plan (DMP) and provides the data management policies and strategies to be adopted by DIVINE. It outlines how the research data collected or generated will be handled during DIVINE, providing details on the types of data to be collected / generated, the methodology and standards used for their collection, whether and how this data will be shared and/or made open, and how it will be curated and preserved. It will be a living document and will be updated at M18 (version to be integrated in D1.3) and M36 (version to be integrated in D1.4), and if necessary earlier if significant changes arise.

Project Report Year 1 (öffnet in neuem Fenster)

It is the output of Tasks 1.1, 1.2, 1.3, 1.4 and 1.5. It reports over the admin, technical, integration, innovation, and ethics management activities for the overall project for Y1. It also integrates the Project Management Handbook (M01), which provides a description of all management, administrative and communication protocols for DIVINE..

Global outreach, dissemination, standardisation and external collaboration plan and activities (öffnet in neuem Fenster)

Strategy and planning for global communication and dissemination activities, as well as the report for standardisation of project outputs. Initial version of strategy and plan to be released at M03 (internal document), and final at M18, escorted by report on the related activities conducted until then. It is the joint output of Tasks 7.2 and 7.3.

MAA activity planning, roadmap and initial results (öffnet in neuem Fenster)

Processes & procedures for the governance of MAA activities including means to mobilise stakeholders and engage them in DIVINE activities. Capture the promotion material created to engage various stakeholders. Initial version of MAA roadmap to be released at M03 (internal report), and final at M18, escorted by the initial MAA results until then. It is the output of Task 7.4.

Agri data sharing policy framework adoption manual and guidelines - Release 1 (öffnet in neuem Fenster)

This is the output of Task 6.2 to be used by the pilots, but also to enable the DIVINE policy framework adoption outside the project. It corresponds to its initial release expected right before the pilot round 1 kick-off.

Development & integration of agri data sharing governance models, policies and regulations - Release 1 (öffnet in neuem Fenster)

This report presents applicable regulatory requirements & design principles extracted; data-sharing models & policies developed; and captures the prototype integration of these in ADSE. It corresponds to their initial release expected right before the pilot round 1 kick-off. It captures outputs of Tasks 6.1 an 6.2.

Veröffentlichungen

Fostering interoperability in agricultural data spaces: A DIVINE use case (öffnet in neuem Fenster)

Autoren: Marios Paraskevopoulos, Ioanna Roussaki
Veröffentlicht in: 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2025
Herausgeber: IEEE
DOI: 10.1109/COINS65080.2025.11125729

CredSSI: Enhancing Security and Privacy with Self-Sovereign Identities Approach (öffnet in neuem Fenster)

Autoren: José Álvaro Fernández Carrasco, Lucía Muñoz-Solanas, Lander Segurola Gil, Daniel Paredes-García
Veröffentlicht in: 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2024, ISSN 2766-8576
Herausgeber: IEEE
DOI: 10.1109/PerComWorkshops59983.2024.10503044

Smart Farming data and IoT in support of agricultural policy monitoring (öffnet in neuem Fenster)

Autoren: Nikos Kalatzis, Marios Paraskevopoulos, George Routis, Ioanna Roussaki
Veröffentlicht in: 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2024, ISSN 2996-5330
Herausgeber: IEEE
DOI: 10.1109/COINS61597.2024.10622371

PIXEL-LEVEL QUALITY INDICATOR FOR IMAGE DATA ANNOTATION (öffnet in neuem Fenster)

Autoren: M. De La Fuente, P. Gonzalez , I. Azpiroz, M. Maiza, N. Barrena, M. Quartulli
Veröffentlicht in: 2024 IEEE International Geoscience and Remote Sensing Symposium proceedings, 2024, ISSN 2153-7003
Herausgeber: IEEE
DOI: 10.1109/IGARSS53475.2024.10641772

ADAPTATION OF DIFFUSION MODELS FOR REMOTE SENSING IMAGERY (öffnet in neuem Fenster)

Autoren: A. Ettari, A. Nappa, M. Quartulli, I. Azpiroz, G. Longo
Veröffentlicht in: 2024 IEEE International Geoscience and Remote Sensing Symposium proceedings, 2024, ISSN 2153-7003
Herausgeber: IEEE
DOI: 10.1109/IGARSS53475.2024.10642573

Deep Learning models to estimate High Resolution NDVI for multiple augmentation factors (öffnet in neuem Fenster)

Autoren: M. Zabala, I. Azpiroz, P. Gonzalez, M. Maiza
Veröffentlicht in: 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2024, ISSN 2996-5330
Herausgeber: IEEE
DOI: 10.1109/COINS61597.2024.10622428

A Reference Architecture for Agricultural Data Spaces: Case Study from DIVINE Project (öffnet in neuem Fenster)

Autoren: Soumya Kanti Datta, Tomaz Bokan, Lara Resman
Veröffentlicht in: 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025, ISSN 2376-6506
Herausgeber: IEEE
DOI: 10.1109/IWCMC65282.2025.11059474

Open-source Tools and Supports to Advance Data Interoperability in the Agriculture Domain (öffnet in neuem Fenster)

Autoren: Kieran Sullivan, John McLaughlin, Christine O'Meara, Kevin McDonnell, Conor Kehoe
Veröffentlicht in: 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2024, ISSN 2996-5330
Herausgeber: IEEE
DOI: 10.1109/COINS61597.2024.10622152

Addressing Agricultural Data Management Challenges with the Enhanced TRUE Connector

Autoren: Sergio Comella, Delia Milazzo, Mattia Giuseppe Marzano, Giulia Antonucci, Susanna Bonura, Angelo Marguglio
Veröffentlicht in: Book of short papers - SDS 2024, 2024, ISBN 978-88-5509-645-4
Herausgeber: Palermo University Press

Probabilistic Bayesian Neural Networks for olive phenology prediction in precision agriculture (öffnet in neuem Fenster)

Autoren: A. Nappaa, M. Quartullia, I. Azpiroza, S. Marchib, D. Guidottib, M. Staianoc, R. Sicilianoc
Veröffentlicht in: Ecological Informatics, 2024, ISSN 1878-0512
Herausgeber: Elsevier
DOI: 10.1016/j.ecoinf.2024.102723

Designing a variety selection decision support system for cereal growers (öffnet in neuem Fenster)

Autoren: Conor J. Kehoe, Gary D. Gillespie, Kevin P. McDonnell
Veröffentlicht in: Agronomy Journal, Ausgabe 118, 2026, ISSN 0002-1962
Herausgeber: Wiley
DOI: 10.1002/AGJ2.70301

Plant Disease Identification Using Machine Learning Algorithms on Single-Board Computers in IoT Environments (öffnet in neuem Fenster)

Autoren: George Routis, Marios Michailidis, Ioanna Roussaki
Veröffentlicht in: Electronics, 2024, ISSN 2079-9292
Herausgeber: MDPI
DOI: 10.3390/electronics13061010

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