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CORDIS - Resultados de investigaciones de la UE
CORDIS

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

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Data Management Plan (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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.

Publicaciones

Fostering interoperability in agricultural data spaces: A DIVINE use case (se abrirá en una nueva ventana)

Autores: Marios Paraskevopoulos, Ioanna Roussaki
Publicado en: 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2025
Editor: IEEE
DOI: 10.1109/COINS65080.2025.11125729

CredSSI: Enhancing Security and Privacy with Self-Sovereign Identities Approach (se abrirá en una nueva ventana)

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

Smart Farming data and IoT in support of agricultural policy monitoring (se abrirá en una nueva ventana)

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

PIXEL-LEVEL QUALITY INDICATOR FOR IMAGE DATA ANNOTATION (se abrirá en una nueva ventana)

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

ADAPTATION OF DIFFUSION MODELS FOR REMOTE SENSING IMAGERY (se abrirá en una nueva ventana)

Autores: A. Ettari, A. Nappa, M. Quartulli, I. Azpiroz, G. Longo
Publicado en: 2024 IEEE International Geoscience and Remote Sensing Symposium proceedings, 2024, ISSN 2153-7003
Editor: IEEE
DOI: 10.1109/IGARSS53475.2024.10642573

Deep Learning models to estimate High Resolution NDVI for multiple augmentation factors (se abrirá en una nueva ventana)

Autores: M. Zabala, I. Azpiroz, P. Gonzalez, M. Maiza
Publicado en: 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2024, ISSN 2996-5330
Editor: IEEE
DOI: 10.1109/COINS61597.2024.10622428

A Reference Architecture for Agricultural Data Spaces: Case Study from DIVINE Project (se abrirá en una nueva ventana)

Autores: Soumya Kanti Datta, Tomaz Bokan, Lara Resman
Publicado en: 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025, ISSN 2376-6506
Editor: IEEE
DOI: 10.1109/IWCMC65282.2025.11059474

Open-source Tools and Supports to Advance Data Interoperability in the Agriculture Domain (se abrirá en una nueva ventana)

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

Addressing Agricultural Data Management Challenges with the Enhanced TRUE Connector

Autores: Sergio Comella, Delia Milazzo, Mattia Giuseppe Marzano, Giulia Antonucci, Susanna Bonura, Angelo Marguglio
Publicado en: Book of short papers - SDS 2024, 2024, ISBN 978-88-5509-645-4
Editor: Palermo University Press

Probabilistic Bayesian Neural Networks for olive phenology prediction in precision agriculture (se abrirá en una nueva ventana)

Autores: A. Nappaa, M. Quartullia, I. Azpiroza, S. Marchib, D. Guidottib, M. Staianoc, R. Sicilianoc
Publicado en: Ecological Informatics, 2024, ISSN 1878-0512
Editor: Elsevier
DOI: 10.1016/j.ecoinf.2024.102723

Designing a variety selection decision support system for cereal growers (se abrirá en una nueva ventana)

Autores: Conor J. Kehoe, Gary D. Gillespie, Kevin P. McDonnell
Publicado en: Agronomy Journal, Edición 118, 2026, ISSN 0002-1962
Editor: Wiley
DOI: 10.1002/AGJ2.70301

Plant Disease Identification Using Machine Learning Algorithms on Single-Board Computers in IoT Environments (se abrirá en una nueva ventana)

Autores: George Routis, Marios Michailidis, Ioanna Roussaki
Publicado en: Electronics, 2024, ISSN 2079-9292
Editor: MDPI
DOI: 10.3390/electronics13061010

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