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Building an Interoperable, Data-Driven, Innovative and Sustainable European Agri-Food Sector


Market and business opportunities analysis

This deliverable will provide an initial market analysis and business opportunities for the creation of an ecosystem of multi-actor approach

Initial Stakeholder requirements, pilots design, specification and planning

D5.1 will capture the initial results from the inventory and the requirements study, describes the plans for the sprints, and provides corresponding assessment criteria to be used in assessment phase two.

Common data models and semantic interoperability mechanisms - Release 2

This deliverable corresponds to the final prototype of the DEMETER common data models and semantic interoperability mechanisms (second release of D2.1 implementations).

Common data models and semantic interoperability mechanisms - Release 1

This deliverable presents the design for the DEMETER Agriculture Information Model (AIM) and the DEMETER common data models in general, as well as the specifications for the DEMETER semantic interoperability mechanisms. It will also provide preliminary implementations for the respective models and mechanisms.

Regulatory and Policy Framework Analysis

This deliverable will provide the results of the analysis of DEMETER related to identification possible area to contribute on regulation and policy framework

Decision Support, Benchmarking and Performance Indicator Monitoring tools - Release 1

This deliverable describes the AI-based analytic functions, Benchmarking techniques and performance monitoring tools that serve as core building blocks of decision support systems in DEMETER pilots

Intermediate communication, dissemination and standardization activities report

Deliverable to describe the intermediate results and outcomes in dissemination, communication and standardisation

Project Report Year 1

Reporting for Y1 from admin, technical, integration, innovation, IPR, legal and ethics perspectives.

Decision Enablers, Advisory Support Tools and DEMETER Stakeholder Open Collaboration Space

This deliverable provides an overview of the generic enablers and collaboration tools that have been developed to support decision making in the agri-food domain

Revised Stakeholder requirements, pilot specifications and objectives

As D5.1, but revised based on the progress of WP2,3,4 and 7

DEMETER reference architecture - Release 1

This deliverable will present the first version of the DEMETER reference architecture following the first elicitation of requirements and SOTA analysis

Initial DEMETER communication & dissemination plan

This deliverable will describe the initial strategy in DEMETER for communication and dissemination activities considering typologies of stakeholders

Open Call 1 handbook

"D7.2 captures open call documents like open call text, guidelines, materials, contract templates for sub-grantees and the templates for proposals for Call #1."

Testbed planning and deployment of system extensions and applications for pilot round 1

The report describes all systems extensions and applications to be used for pilots round1 and provides the plan for deployment at the pilot sites.

DEMETER Data and Knowledge extraction tools - Release 1

This deliverable elaborates on the design of the DEMETER Data and Knowledge extraction tools and provides their initial implementations.

DEMETER reference architecture – Release 2

This deliverable will present the final version of the DEMETER reference architecture following evaluations and lessons learnt during technical development and initial pilot validation

Initial data management plan

Provides the data management policies and strategies to be adopted by DEMETER

DEMETER technology integration tools - Release 1

This deliverable will provide the first version of tools that will allow for integration and interoperability with external platforms as well as for establishing suitable configurations for the pilot sites

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Quality of Information within Internet of Things Data

Author(s): Tomás Alcañiz, Aurora González-Vidal, Alfonso P. Ramallo, Antonio F. Skarmeta
Published in: Data Integrity and Quality [Working Title], 2021
Publisher: IntechOpen
DOI: 10.5772/intechopen.95844

The International Data Spaces Information Model – An Ontology for Sovereign Exchange of Digital Content

Author(s): Sebastian Bader, Jaroslav Pullmann, Christian Mader, Sebastian Tramp, Christoph Quix, Andreas W. Müller, Haydar Akyürek, Matthias Böckmann, Benedikt T. Imbusch, Johannes Lipp, Sandra Geisler, Christoph Lange
Published in: The Semantic Web – ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2–6, 2020, Proceedings, Part II, 12507, 2020, Page(s) 176-192, ISBN 978-3-030-62465-1
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-62466-8_12

Supervising Industrial Distributed Processes Through Soft Models, Deformation Metrics and Temporal Logic Rules

Author(s): Borja Bordel, Ramón Alcarria, Tomás Robles
Published in: Trends and Innovations in Information Systems and Technologies - Volume 2, 1160, 2020, Page(s) 125-136, ISBN 978-3-030-45690-0
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-45691-7_12

A hybrid neuro-fuzzy inference system-based algorithm for time series forecasting applied to energy consumption prediction

Author(s): Mohammed Ali Jallal, Aurora González-Vidal, Antonio F. Skarmeta, Samira Chabaa, Abdelouhab Zeroual
Published in: Applied Energy, 268, 2020, Page(s) 114977, ISSN 0306-2619
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.apenergy.2020.114977

Digital Transformation of Agriculture through the Use of an Interoperable Platform

Author(s): Juan Antonio López-Morales, Juan Antonio Martínez, Antonio F. Skarmeta
Published in: Sensors, 20/4, 2020, Page(s) 1153, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20041153

Controlling Supervised Industry 4.0 Processes through Logic Rules and Tensor Deformation Functions

Author(s): Borja Bordel, Ramón Alcarria, Tomás Robles
Published in: Informatica, 2021, Page(s) 1-29, ISSN 0868-4952
Publisher: Lithuanian Academy of Sciences
DOI: 10.15388/20-infor441

Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through Machine-Learning Methods

Author(s): Izar Azpiroz, Noelia Oses, Marco Quartulli, Igor G. Olaizola, Diego Guidotti, Susanna Marchi
Published in: Remote Sensing, 13/6, 2021, Page(s) 1224, ISSN 2072-4292
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13061224

Measuring Canopy Geometric Structure Using Optical Sensors Mounted on Terrestrial Vehicles: A Case Study in Vineyards

Author(s): Daniel Queirós da Silva, André Silva Aguiar, Filipe Neves dos Santos, Armando Jorge Sousa, Danilo Rabino, Marcella Biddoccu, Giorgia Bagagiolo, Marco Delmastro
Published in: Agriculture, 11/3, 2021, Page(s) 208, ISSN 2077-0472
Publisher: MDPI
DOI: 10.3390/agriculture11030208

Analysis of Copernicus’ ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction

Author(s): Noelia Oses, Izar Azpiroz, Susanna Marchi, Diego Guidotti, Marco Quartulli, Igor G. Olaizola
Published in: Sensors, 20/21, 2020, Page(s) 6381, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20216381

Improving Energy Efficiency of Irrigation Wells by Using an IoT-Based Platform

Author(s): Juan A. López-Morales, Juan A. Martínez, Antonio F. Skarmeta
Published in: Electronics, 10/3, 2021, Page(s) 250, ISSN 2079-9292
Publisher: MDPI
DOI: 10.3390/electronics10030250

A Multi-Actor Approach to promote the employment of IoT in Agriculture

Author(s): Ioanna Roussaki, Pavlos Kosmides, George Routis, Kevin Doolin, Veronique Pevtschin, Angelo Marguglio
Published in: 2019 Global IoT Summit (GIoTS), 2019, Page(s) 1-6, ISBN 978-1-7281-2171-0
Publisher: IEEE
DOI: 10.1109/giots.2019.8766416

Validation of a fluorometer sensor for characterization of olive varieties and evaluation of fruit ripeness index with non-destructive measurement: preliminary results

Author(s): Rocío Arias Calderón, José Silvestre
Published in: 2020, ISBN 978-972-8936-36-5
Publisher: Agricultura 4.0

Machine Learning for olive phenology prediction and base temperature optimisation

Author(s): N Oses, I Azpiroz, M Quartulli, I Olaizola, S Marchi, D Guidotti
Published in: 2020 Global Internet of Things Summit (GIoTS), 2020, Page(s) 1-6, ISBN 978-1-7281-6728-2
Publisher: IEEE
DOI: 10.1109/giots49054.2020.9119611