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

Informations projet

DIVINE

N° de convention de subvention: 101060884

DOI

10.3030/101060884

Projet clôturé

Date de signature de la CE 1 Juin 2022

Date de début 1 Octobre 2022

Date de fin 31 Janvier 2026

Financé au titre de

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Coût total

€ 3 954 797,50

Contribution de l’UE

€ 3 954 797,50

Coordonné par

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (6)

Data Management Plan

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

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

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

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

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

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.

Publications

Conference proceedings (9)

Fostering interoperability in agricultural data spaces: A DIVINE use case

Auteurs: Marios Paraskevopoulos, Ioanna Roussaki
Publié dans: 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2025
Éditeur: IEEE
DOI: 10.1109/COINS65080.2025.11125729

CredSSI: Enhancing Security and Privacy with Self-Sovereign Identities Approach

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

Smart Farming data and IoT in support of agricultural policy monitoring

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

PIXEL-LEVEL QUALITY INDICATOR FOR IMAGE DATA ANNOTATION

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

ADAPTATION OF DIFFUSION MODELS FOR REMOTE SENSING IMAGERY

Auteurs: A. Ettari, A. Nappa, M. Quartulli, I. Azpiroz, G. Longo
Publié dans: 2024 IEEE International Geoscience and Remote Sensing Symposium proceedings, 2024, ISSN 2153-7003
Éditeur: IEEE
DOI: 10.1109/IGARSS53475.2024.10642573

Deep Learning models to estimate High Resolution NDVI for multiple augmentation factors

Auteurs: M. Zabala, I. Azpiroz, P. Gonzalez, M. Maiza
Publié dans: 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2024, ISSN 2996-5330
Éditeur: IEEE
DOI: 10.1109/COINS61597.2024.10622428

A Reference Architecture for Agricultural Data Spaces: Case Study from DIVINE Project

Auteurs: Soumya Kanti Datta, Tomaz Bokan, Lara Resman
Publié dans: 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025, ISSN 2376-6506
Éditeur: IEEE
DOI: 10.1109/IWCMC65282.2025.11059474

Open-source Tools and Supports to Advance Data Interoperability in the Agriculture Domain

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

Addressing Agricultural Data Management Challenges with the Enhanced TRUE Connector

Auteurs: Sergio Comella, Delia Milazzo, Mattia Giuseppe Marzano, Giulia Antonucci, Susanna Bonura, Angelo Marguglio
Publié dans: Book of short papers - SDS 2024, 2024, ISBN 978-88-5509-645-4
Éditeur: Palermo University Press

Peer reviewed articles (3)

Probabilistic Bayesian Neural Networks for olive phenology prediction in precision agriculture

Auteurs: A. Nappaa, M. Quartullia, I. Azpiroza, S. Marchib, D. Guidottib, M. Staianoc, R. Sicilianoc
Publié dans: Ecological Informatics, 2024, ISSN 1878-0512
Éditeur: Elsevier
DOI: 10.1016/j.ecoinf.2024.102723

Designing a variety selection decision support system for cereal growers

Auteurs: Conor J. Kehoe, Gary D. Gillespie, Kevin P. McDonnell
Publié dans: Agronomy Journal, Numéro 118, 2026, ISSN 0002-1962
Éditeur: Wiley
DOI: 10.1002/AGJ2.70301

Plant Disease Identification Using Machine Learning Algorithms on Single-Board Computers in IoT Environments

Auteurs: George Routis, Marios Michailidis, Ioanna Roussaki
Publié dans: Electronics, 2024, ISSN 2079-9292
Éditeur: MDPI
DOI: 10.3390/electronics13061010

Thesis and dissertations (1)

Knowledge extraction and security in internet of things systems

Auteurs: George Routis
Éditeur: NTUA
DOI: 10.12681/EADD/57029