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

Informazioni relative al progetto

DIVINE

ID dell’accordo di sovvenzione: 101060884

DOI

10.3030/101060884

Progetto chiuso

Data della firma CE 1 Giugno 2022

Data di avvio 1 Ottobre 2022

Data di completamento 31 Gennaio 2026

Finanziato da

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Costo totale

€ 3 954 797,50

Contributo UE

€ 3 954 797,50

Coordinato da

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Conference proceedings (9)

Fostering interoperability in agricultural data spaces: A DIVINE use case

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

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

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

Smart Farming data and IoT in support of agricultural policy monitoring

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

PIXEL-LEVEL QUALITY INDICATOR FOR IMAGE DATA ANNOTATION

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

ADAPTATION OF DIFFUSION MODELS FOR REMOTE SENSING IMAGERY

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

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

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

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

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

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

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

Addressing Agricultural Data Management Challenges with the Enhanced TRUE Connector

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

Peer reviewed articles (3)

Probabilistic Bayesian Neural Networks for olive phenology prediction in precision agriculture

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

Designing a variety selection decision support system for cereal growers

Autori: Conor J. Kehoe, Gary D. Gillespie, Kevin P. McDonnell
Pubblicato in: Agronomy Journal, Numero 118, 2026, ISSN 0002-1962
Editore: Wiley
DOI: 10.1002/AGJ2.70301

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

Autori: George Routis, Marios Michailidis, Ioanna Roussaki
Pubblicato in: Electronics, 2024, ISSN 2079-9292
Editore: MDPI
DOI: 10.3390/electronics13061010

Thesis and dissertations (1)

Knowledge extraction and security in internet of things systems

Autori: George Routis
Editore: NTUA
DOI: 10.12681/EADD/57029