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CORDIS - Forschungsergebnisse der EU
CORDIS

Smart Farm and Agri-environmental Big Data Space

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

Agri-climate monitoring methods & resilience models V1 (öffnet in neuem Fenster)

Report on the climate projection methodology and models, and evaluation of the impact in short and long horizon

Dissemination & Standardization & Communities Liaison V1 (öffnet in neuem Fenster)

A detailed dissemination and communication strategy is defined at M06 and updated though out the project lifetime.

Definition & analysis of use cases & system requirements V1 (öffnet in neuem Fenster)

Provides a detailed refinement and analysis of the use cases and ethical/privacy/GDPR requirements that would govern the pilots.

Smart Farming Use cases implementation & validation V1 (öffnet in neuem Fenster)

Report on the Smart Farming use cases implementation and validation. The update will include the recommendations for pilots scale up preparation.

Data Privacy, Ethical, GDPR & Regulatory Compliance V1 (öffnet in neuem Fenster)

Describe the Data Privacy, Ethical, GDPR & Regulatory Compliance monitoring results during project pilots.

AgriDataSpace Underlying Technology (öffnet in neuem Fenster)

Report the advances of data storage/sharing and AI-base DSS (including a SW proof of concept version) and laboratory experimentation results.

AgriDataSpace Technical Specifications & Reference Architecture (öffnet in neuem Fenster)

Technical specs of the AgriDataSpace components, low-level design of the architectural patterns and reference architecture.

Practice Abstract Volume 1 (öffnet in neuem Fenster)

These short deliverables in EIP-AGRI format will facilitate the flow of information from AgriDataSpace to end-users (farmers and foresters) and share relevant innovative and practice-oriented knowledge developed in the projects.

Smart Farming pilots & Data Management Plan (DMP) V2 (öffnet in neuem Fenster)

Description of the pilots sites, the project DMP and open data, along with procedures to be used at pilot sites.

Smart Farming pilots & Data Management Plan (DMP) V1 (öffnet in neuem Fenster)

Description of the pilots sites, the project DMP and open data, along with procedures to be used at pilot sites

AgriDataSpace Platform of Platforms V1 (öffnet in neuem Fenster)

Implements an enhanced and a final version of the ADS platform and the DSS concepts.

Veröffentlichungen

Occurrence of per- and polyfluoroalkyl substances, pesticides, pharmaceuticals, and heavy metals in Greek backyard chicken eggs and estimation of the consumption risk (öffnet in neuem Fenster)

Autoren: Olga S. Arvaniti, Dimitrios Triantafyllos Gerokonstantis, Christoforos Bouzoukas, Maria Aloupi, Georgios Gkotsis, Antigoni Konomi, Artemis Mastrotheodoraki, Athanasia Iliopoulou, Marios Kostakis, Marilena Dasenaki, Nikolaos S. Thomaidis, Athanasios S. Stasinakis
Veröffentlicht in: Science of The Total Environment, Ausgabe 998, 2025, ISSN 0048-9697
Herausgeber: Elsevier BV
DOI: 10.1016/J.SCITOTENV.2025.180253

Sustainable solutions for mitigating spring frost effects on grape and wine quality: facilitating digital transactions in the viniculture sector (öffnet in neuem Fenster)

Autoren: Antonia Terpou, Olga S. Arvaniti, Nikolaos Afratis, Gina Athanasiou, Frank Binardc, Theodore Zahariadis
Veröffentlicht in: Sustainable Food Technology, Ausgabe 2, 2024, ISSN 2753-8095
Herausgeber: The Royal Society of Chemistry (RSC)
DOI: 10.1039/D4FB00050A

Bactrocera oleae Control and Smart Farming Technologies for Olive Orchards in the Context of Optimal Olive Oil Quality: A Review (öffnet in neuem Fenster)

Autoren: Olga S. Arvaniti; Efthymios Rodias; Antonia Terpou; Nikolaos Afratis; Gina Athanasiou; Theodore Zahariadis
Veröffentlicht in: Agronomy, Ausgabe 14, 2586, 2024, ISSN 2073-4395
Herausgeber: MDPI
DOI: 10.3390/AGRONOMY14112586

Harnessing deep learning for plant species classification: A comprehensive review (öffnet in neuem Fenster)

Autoren: Aisha Zulfiqar, Ebroul Izquierdo, Krishna Chandramouli
Veröffentlicht in: Computers and Electronics in Agriculture, Ausgabe 237, 2025, ISSN 0168-1699
Herausgeber: Elsevier BV
DOI: 10.1016/J.COMPAG.2025.110663

Molecules (öffnet in neuem Fenster)

Autoren: Ioannidi, Alexandra; Panagopoulou, Eleni; kouvelis, Kostantinos; Ladakis, Dimitrios; Petala, Athanasia; Dasenaki, Marilena; Thomaidis, Nikolaos; Mantzavinos, Dionissios; Frontistis, Zacharias; ARVANITI, OLGA
Veröffentlicht in: Molecules, Ausgabe 30, 3720, 2025, ISSN 1420-3049
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/MOLECULES30183720

FAIRness in Dataspaces: The Role of Semantics for Data Management (öffnet in neuem Fenster)

Autoren: Hauff, Marco; Molinas Comet, Lina; Moosmann, Paul; Lange, Christoph; Chrysakis, Ioannis; heissen-Lipp, Johannes T
Veröffentlicht in: CEUR Workshop Proceedings, Ausgabe 3705, 2024, ISSN 1613-0073
Herausgeber: CEUR-WS.org
DOI: 10.5281/ZENODO.13120339

On the use of climate indicators for strategic planning of natural solutions in French vineyards, the case of St Emilion (öffnet in neuem Fenster)

Autoren: Mario A. S., Naji E. B., Nawel A., Franck B., Bunafsha M.
Veröffentlicht in: TERRAENVISION Abstracts, Ausgabe 4, 2024
Herausgeber: TerraEnvision
DOI: 10.5281/ZENODO.12703127

Data-Driven Solutions For Farmer Empowerment In Smart Agriculture: Challenges And Opportunities (öffnet in neuem Fenster)

Autoren: Uyar Havva, Ioannis Karvelas, ClareSullivan, Stamatia Rizou, Spyros Fountas
Veröffentlicht in: AgEng2024: Shaping the Future of Agricultural Engineering, 2024
Herausgeber: Hellenic Society of Agricultural Engineers
DOI: 10.5281/ZENODO.12723689

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