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CORDIS - EU research results
CORDIS

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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

Probabilistic Bayesian Neural Networks for olive phenology prediction in precision agriculture (opens in new window)

Author(s): A. Nappaa, M. Quartullia, I. Azpiroza, S. Marchib, D. Guidottib, M. Staianoc, R. Sicilianoc
Published in: Ecological Informatics, 2024, ISSN 1878-0512
Publisher: Elsevier
DOI: 10.1016/j.ecoinf.2024.102723

Plant Disease Identification Using Machine Learning Algorithms on Single-Board Computers in IoT Environments (opens in new window)

Author(s): George Routis, Marios Michailidis, Ioanna Roussaki
Published in: Electronics, 2024, ISSN 2079-9292
Publisher: MDPI
DOI: 10.3390/electronics13061010

CredSSI: Enhancing Security and Privacy with Self-Sovereign Identities Approach (opens in new window)

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

Smart Farming data and IoT in support of agricultural policy monitoring (opens in new window)

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

PIXEL-LEVEL QUALITY INDICATOR FOR IMAGE DATA ANNOTATION (opens in new window)

Author(s): M. De La Fuente, P. Gonzalez , I. Azpiroz, M. Maiza, N. Barrena, M. Quartulli
Published in: 2024 IEEE International Geoscience and Remote Sensing Symposium proceedings, 2024, ISSN 2153-7003
Publisher: IEEE
DOI: 10.1109/IGARSS53475.2024.10641772

ADAPTATION OF DIFFUSION MODELS FOR REMOTE SENSING IMAGERY (opens in new window)

Author(s): A. Ettari, A. Nappa, M. Quartulli, I. Azpiroz, G. Longo
Published in: 2024 IEEE International Geoscience and Remote Sensing Symposium proceedings, 2024, ISSN 2153-7003
Publisher: IEEE
DOI: 10.1109/IGARSS53475.2024.10642573

Deep Learning models to estimate High Resolution NDVI for multiple augmentation factors (opens in new window)

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

A Reference Architecture for Agricultural Data Spaces: Case Study from DIVINE Project (opens in new window)

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

Open-source Tools and Supports to Advance Data Interoperability in the Agriculture Domain (opens in new window)

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

Addressing Agricultural Data Management Challenges with the Enhanced TRUE Connector

Author(s): Sergio Comella, Delia Milazzo, Mattia Giuseppe Marzano, Giulia Antonucci, Susanna Bonura, Angelo Marguglio
Published in: Book of short papers - SDS 2024, 2024, ISBN 978-88-5509-645-4
Publisher: Palermo University Press

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