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

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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).

Project Report Year 2

Reporting for Y2 from admin, technical, integration, innovation, IPR, legal and ethics perspectives.

MAA Evaluation Report

D7.8 summarizes the evaluation of DEMETER MAA with regard to the effectiveness of DEMETER innovations essentially through MAA at the social, pilot, national and international levels.

Project Report Year 3

Reporting for Y3 from admin, technical, integration, innovation, IPR, legal and ethics perspectives.

MAA activity planning and roadmap

D7.1 defines the processes and procedures for the governance of MAA activities including definition of mechanisms for dealing with digital spaces and definition of evaluation criteria.

Final Stakeholder requirements, pilot specifications and objectives

As D5.2, but finalised based on the progress of WP2,3,4 and 7, as well as feedback from the initial pilot results.

Open Call 1 project and outcome evaluation report

"D7.4 captures the outcome of Open Call #1 including the analysis of statistics of the open call results and description of follow-up activities."

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.

DEMETER Data and Knowledge models and tools - Release 3

This deliverable will provide the third and final release of the AIM data model, of the core semantic mappings of DEMETER, formerly provided by D2.3, as well as of the data and knowledge tools and mechanisms formerly provided by D2.4, capturing the outcomes of Tasks 2.1, 2.2 and 2.3 after the delivery of the second release of their modules.

DEMETER Data and Knowledge extraction tools - Release 2

This deliverable corresponds to the final prototype of the DEMETER Data and Knowledge extraction tools (second release of D2.2 implementations).

Reports on DEMETER use and impact on standards

Deliverable with the final analysis and description if DEMETER on the standards and stakeholders fora

MAA Activity and Pilot Report 1

D7.3 summarizes the progress of MAA to date and challenges that still need to be addressed for a successful project.

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

Report on organizational innovations and policy recommendations

Deliverable describing improved management, policy recommendation and governance of DT in agriculture

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.

Final Release and Support Report for Decision Enablers, Advisory Support Tools and DEMETER Stakeholder Open Collaboration Space

This deliverable provides the final details of the generic enablers, advisory tools and collaboration space developed in the DEMETER project.

Final Release and Support report for DEMETER Enabler Hub and DEMETER Agriculture Interoperability Space finalization

This is the final software release and associated report for the DEMETER Enabler Hub and DEMETER Agriculture Interoperability Space

Testbed planning and deployment of system extensions and applications for pilot round 2

As D5.3, but for pilot round 2

Overarching coordination, execution, evaluation, fertilisation and optimisation report for pilot round 1

This deliverable reports on all administrative and technical matters regarding the pilot round 1, both per pilot and on a cross pilot level. It captures the assessment plan for the pilot round 1 identifying all the different dimensions to be assessed and the methodology that will be applied by the responsible tasks. The measurement by pilots for round 1 will be collected in a report at M25 and then included, together with assessment from round 2, in D5.7.It develops a set of best practices for enhanced interoperability, describes necessary standardization activities based on lessons learned, and outlines possible future activities that further enhance IT systems within the agricultural sector. Finally, it describes all communication and cross-pilot fertilization recommendations given based on pilot round 1

Overarching management, deployment, execution, evaluation, fertilisation and optimisation report for pilot round 2

As D5.5, but for pilot round 2

Open Call 2 handbook

"D7.6 captures open call documents like open call text, guidelines, materials, contract templates for sub-grantees and the templates for proposals for Call #2."

MAA Activity and Pilot Report 2

D7.9 summarizes all MAA activities and outcomes of the MAA and delivers final dissemination material.

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

Decision Enablers, Advisory Support Tools and DEMETER Stakeholder Open Collaboration Space - Release 2

This deliverable provides implementation details of the generic enablers, advisory tools and collaboration space developed in the DEMETER project.

Open Call 2 project and outcome evaluation report

"D7.7.captures the outcome of Open Call #2 including the analysis of statistics of the open call results and description of follow-up activities."

DEMETER´s final communication, dissemination and standardisation report

This deliverable will report the final results and outcomes in dissemination, communication and standardisation in DEMETER

Decision Support, Benchmarking and Performance Indicator Monitoring Tools - Release 2

This deliverable describes the implementation details of the tools that provide decision support systems in DEMETER pilots

Initial data management plan

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

DEMETER technology integration tools - Release 2

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

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

Publications

Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges

Auteurs: Enrique Mármol Campos, Pablo Fernández Saura, Aurora González-Vidal, José L. Hernández-Ramos, Jorge Bernal Bernabe, Gianmarco Baldini, Antonio Skarmeta
Publié dans: Machine Learning, Numéro abs/2108.00974, 2021
Éditeur: Arxiv
DOI: 10.48550/arxiv.2108.00974

Micro-Surface Engineering of Integrated Silicon Microtechnologies for the Development of Sensing and Biosensing Platforms

Auteurs: Alan O'Riordan
Publié dans: ECS Meeting Abstracts - The Electrochemical Society, Numéro MA2022-22, 2022
Éditeur: The Electrochemical Society
DOI: 10.1149/ma2022-02612260mtgabs

Data qualitiy assessment of sensor data in agriculture

Auteurs: Morteza Abdipour
Publié dans: Land Technik 2022, 2022
Éditeur: Land Technik 2022
DOI: 10.51202/9783181023952

Qualitative parameter analysis for Botrytis cinerea forecast modelling using IoT sensor networks

Auteurs: Spasenija Gajinov, Tomo Popović, Dejan Drajić, Nenad Gligorić, and Srdjan Krčo
Publié dans: IEC Science, Numéro November 2022, 2022
Éditeur: IEC Science
DOI: 10.33969/j-nana.2022.020305

Designing with Farmers: A Case Study in Human-Centred Design

Auteurs: Dave Hearne, Grainne Dilleen, Daniel Wolferts
Publié dans: 2022
Éditeur: Agronomy for Sustainable Development
DOI: 10.17180/np12-jb28

SmartAgriHubs FIE20 - Groundwater and Meteo Sensors and Earth Observation for Precision Agriculture

Auteurs: Charvát, Karel; Kepka, Michal; Berzins, Raitis; Zadražil, František; Langovskis, Dailis; Musil, Marek
Publié dans: SmartAgriHubs, 2022
Éditeur: -
DOI: 10.5281/zenodo.6862313

Agri-food Research Centres as Drivers of Digital Transformation for Smart Agriculture

Auteurs: Juan Antonio Lopez-Morales; Antonio F. Skarmeta; Juan Antonio Martinez
Publié dans: 2020 Global Internet of Things Summit (GIoTS), 2020
Éditeur: IEEE

Breaking Down IoT Silos: Semantic Interoperability Support System for the Internet of Things.

Auteurs: Mario San Emeterio de la Parte, José Fernán Martínez Ortega, Vicente Hernández Díaz, Néstor Lucas Martínez
Publié dans: Proceedings of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023), Numéro July 2023, 2023
Éditeur: IEEE

Leveraging Agri-food IoT Solutions to Connect Apiary Owners and Farmers

Auteurs: Marcin Płóciennik, Raul Palma, Szymon Mueller, Szymon Kupiński, Michał Błaszczak, Soumya Brahma, Arkadiusz Radziuk, Adam Świątkowski
Publié dans: 16th International Conference on Telecommunications (ConTEL), 2021
Éditeur: IEEE

DuckDQ: Data Quality Assertions for Machine Learning Pipelines

Auteurs: Till Doehmen, Mark Raasveldt, Hannes Mühleisen, Sebastian Schelter
Publié dans: Workshop on Challenges in Deploying and Monitoring ML Systems at the International Conference on Machine Learning (ICML), 2021
Éditeur: PMLR

Smart Cities - Systems of Interoperability and OGC Enablers

Auteurs: Rob Atkinson, Piotr Zaborowski, F. Noardo, I. Simonis
Publié dans: ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., Numéro ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4/W3-2022, ,, 2022
Éditeur: Copernicus Publications
DOI: 10.5194/isprs-annals-x-4-w3-2022-19-2022

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

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

Data-Driven and Interoperable Smart Agriculture: An IoT-based Use-Case for Arable Crops

Auteurs: G. Routis, M. Paraskevopoulos, I. A. Vetsikas, I. Roussaki, D. Stavrakoudis and D. Katsantonis
Publié dans: 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2022
Éditeur: IEEE
DOI: 10.1109/coins54846.2022.9855001

Domain agnostic quality of information metrics in iot-based smart environments.

Auteurs: Aurora González Vidal, Tomás Alcañiz, Thorben Iggena, Eushay Bin Ilyas, Antonio F. Skarmeta
Publié dans: Intelligent Environments 2020 Workshop Proceedings of the 16th International Conference on Intelligent Environment, Numéro 28, 2020
Éditeur: IOS Press
DOI: 10.3233/aise200059

Data Fusion for Smart Agriculture Applied to an IoT-based Use-Case for Arable Crops

Auteurs: Ioannis A. Vetsikas; Ioanna Roussaki
Publié dans: 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS), Numéro 23-25 July 2023, 2023
Éditeur: IEEE

AgriChain: Blockchain Syntactic and Semantic Validation for Reducing Information Asymmetry InAgri-Food

Auteurs: Pierluigi Gallo, Federico Daidone, Filippo Sgroi and Mirko Avantaggiato
Publié dans: DLT 2022: 4th Distributed Ledger Technology Workshop,, 2022
Éditeur: CEUR-WS.org

AgriChain: Blockchain Syntactic and Semantic Validation for Reducing Information Asymmetry in Agri-Food.

Auteurs: Gallo, P.; Daidone, F.; Sgroi, F.; Avantaggiato, M
Publié dans: Proceedings of the 2022: 4th Distributed Ledger Technology Workshop, 2022
Éditeur: ITASEC 2022

A practical approach to cross-agri-domain interoperability and integration

Auteurs: Sonia Bilbao and Belén Martínez
Publié dans: IEEE COINS 2022, Numéro August 2022, 2022
Éditeur: IEEE
DOI: 10.1109/coins54846.2022.9854999

"Map whiteboard as a collaboration tool for #SmartFarming Advisory Services"

Auteurs: Karel Charvat
Publié dans: 15th International conference on Precision Agriculture, 2022
Éditeur: Zenodo
DOI: 10.5281/zenodo.6864305

The Digitalization of The Field. Use Of Remote Sensing and New Technologies as Sustainable Tools In The Management Of Modern Irrigation

Auteurs: Pedro Javier Fernández Pesado, Ángel Rubio Melón ; Rosario Escudero Barbero, Blanca Sánchez Hernández, Jose Luis Cáceres Losada, Rodrigo Calero Gil
Publié dans: XXXVIII Congreso Nacional de Riegos Cartagena 2021, 2021
Éditeur: Universidad Politécnica de Cartagena
DOI: 10.31428/10317/10111

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

Auteurs: Rocío Arias Calderón, José Silvestre
Publié dans: 2020, ISBN 978-972-8936-36-5
Éditeur: Agricultura 4.0

Digital user-industry interactions and Industry 4.0 services to improve customers’ experience and satisfaction in the European bakery sector

Auteurs: Bordel Sánchez, Borja Alcarria Garrido, Ramon Pablo Robles Valladares, Tomás Enrique Torre, Gemma de la Carretero, Isidoro
Publié dans: 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), 2021, ISBN 978-989-54659-1-0
Éditeur: IEEE

Flexible physical process control through predictor-corrector differential models in Industry 4.0 scenarios

Auteurs: Bordel Sanchez, Borja ; Alcarria Garrido, Ramón Pablo ; Robles Valladares, Tomás Enrique
Publié dans: Trends and Applications in Information Systems and Technologies, 2021
Éditeur: Springer

Preliminary predictions of animal welfare from behaviour data.

Auteurs: Hendriks, S., Santillan-Urquiza, E., Valldecabres, A., Hancock, A., Dalton, L., Boyle, L. and O’Brien, B.
Publié dans: Meeting of the European Federation of Animal SciencePorto, Portugal, 5-8 September 2022, 2022, ISBN 978-90-8686-937-4
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-937-4

A data quality assessment tool for agricultural structured data as support for smart farming.

Auteurs: Schroth, Christof; Kelbert, Patricia; Vollmer, Anna Maria
Publié dans: 43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, Numéro 43. GIL-Jahrestagung, 2023, ISBN 978-3-88579-724-1
Éditeur: Gesellschaft für Informatik e.V.

A practical approach to cross-agri-domain interoperability and integration

Auteurs: Sonia Bilbao-Arechabala; Belen Martinez-Rodriguez
Publié dans: 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2022
Éditeur: IEEE

Leveraging IoT solutions as a base for development of the agriculture advisory services

Auteurs: Szymon Mueller, Marcin Plociennik, Maciej Zacharczuk, Adam Dojud, Michal Blaszczak, Alicja Laskowska, Raul Palam, Magdalena Jakubowska, Andrzej Wojtowicz
Publié dans: 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2022
Éditeur: IEEE

Machine Learning for olive phenology prediction and base temperature optimisation

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

PixelCropRobot, a cartesian multitask platform for microfarms automation

Auteurs: Francisco Terra; Leandro Rodrigues; Sandro Magalhães; Filipe Santos; Pedro Moura; Mário Cunha
Publié dans: 2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation (IRIA), 2021
Éditeur: IEEE
DOI: 10.1109/iria53009.2021.9588786

Increasing the efficiency and workers wellbeing in the European bakery industry: an Industry 4.0 case study

Auteurs: Bordel Sánchez, Borja Alcarria Garrido, Ramón Pablo Robles Valladares, Tomás Enrique Torre, Gemma de la Carretero, Isidoro
Publié dans: Information Technology and Systems, 2022
Éditeur: Springer

Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

Auteurs: Magalhães, S.A.; Castro, L.; Moreira, G.; dos Santos, F.N.; Cunha, M.; Dias, J.; Moreira, A.P.
Publié dans: Sensors, Numéro 14248220, 2021, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21103569

Differences between remote and analog design thinking through the lens of distributed cognition

Auteurs: Wolferts, Daniel; Stein, Elisabeth; Bernards, Ann-Kathrin; Reiners, René
Publié dans: Frontiers in AI, Numéro November 2022, 2022, ISSN 2624-8212
Éditeur: Frontiers
DOI: 10.3389/frai.2022.915922

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

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

Digital Transformation of Agriculture through the Use of an Interoperable Platform

Auteurs: Juan Antonio López-Morales, Juan Antonio Martínez, Antonio F. Skarmeta
Publié dans: Sensors, Numéro 20/4, 2020, Page(s) 1153, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20041153

Intrinsic and extrinsic quality of data for open data repositories

Auteurs: Aurora González-Vidal, Alfonso P. Ramallo-González, Antonio F.Skarmeta
Publié dans: ICT Express, 2022, ISSN 2405-9595
Éditeur: Elseiver

Nano Aerial Vehicles for Tree Pollination

Auteurs: Pinheiro I, Aguiar A, Figueiredo A, Pinho T, Valente A, Santos F.
Publié dans: Applied Sciences Journal, Numéro 13(7), 2023, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app13074265

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

Auteurs: Borja Bordel, Ramón Alcarria, Tomás Robles
Publié dans: Informatica, 2021, Page(s) 1-29, ISSN 0868-4952
Éditeur: Lithuanian Academy of Sciences
DOI: 10.15388/20-infor441

Missing Data Imputation With Bayesian Maximum Entropy for Internet of Things Applications

Auteurs: Aurora González Vidal
Publié dans: IEEE Internet of Things Journal, 2021, ISSN 2327-4662
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2020.2987979

Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety

Auteurs: Juan Antonio López-Morales; Juan Antonio Martínez; Antonio F. Skarmeta
Publié dans: Sensors, 2021, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21113867

Smart operation of climatic systems in a greenhouse

Auteurs: Aurora González-Vidal; José Mendoza-Bernal; Alfonso P. Ramallo; Miguel Ángel Zamora; Vicente Martínez; Antonio F. Skarmeta
Publié dans: Agriculture, Numéro September 2022, 2022, ISSN 2077-0472
Éditeur: MDPI
DOI: 10.3390/agriculture12101729

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

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

Map Whiteboard Cloud Solution for Collaborative Editing of Geographic Information

Auteurs: Jaroslav Smejkl
Publié dans: Cloud Computing and Data Science, Numéro Vol 2 Numéro 2 (2021), 2021, ISSN 2737-4106
Éditeur: Universal Wiser
DOI: 10.37256/ccds.222021897

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

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

Active Perception Fruit Harvesting Robots — A Systematic Review

Auteurs: S. A. Magalhães, A. P. Moreira, F. N. d. Santos and J. Dias
Publié dans: Journal of Intelligent & Robotic Systems, Numéro 15730409, 2022, ISSN 1573-0409
Éditeur: Springer
DOI: 10.1007/s10846-022-01595-3

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

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

Investigating knowledge dissemination and social media use in the farming network to build trust in smart farming technology adoption

Auteurs: Grainne Dilleen, Ethel Claffey, Anthony Foley, Kevin Doolin
Publié dans: Journal of Business & Industrial Marketing, 2023, ISSN 0885-8624
Éditeur: Emerald Group Publishing Ltd.
DOI: 10.1108/jbim-01-2022-0060

Building an interoperable space for smart agriculture

Auteurs: Ioanna Roussaki; Kevin Doolin; Antonio Skarmeta; George Routis; Juan Antonio Lopez-Morales; Ethel Claffey; Manuel Mora; Juan Antonio Martinez
Publié dans: Digital Communications and Networks, Numéro 23528648, 2022, ISSN 2352-8648
Éditeur: Elsevier
DOI: 10.1016/j.dcan.2022.02.004

Big Data and precision agriculture: a novel spatio-temporal semantic IoT data management framework for improved interoperability

Auteurs: Mario San Emeterio de la Parte, José Fernán Martínez Ortega, Vicente Hernández Díaz, Néstor Lucas Martínez
Publié dans: Journal of Big Data, Numéro 10, 2023, ISSN 2196-1115
Éditeur: Springer
DOI: 10.1186/s40537-023-00729-0

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

Auteurs: Juan A. López-Morales, Juan A. Martínez, Antonio F. Skarmeta
Publié dans: Electronics, Numéro 10/3, 2021, Page(s) 250, ISSN 2079-9292
Éditeur: MDPI
DOI: 10.3390/electronics10030250

Kiwi Plant Canker Diagnosis Using Hyperspectral Signal Processing and Machine Learning: Detecting Symptoms Caused by Pseudomonas syringae pv. actinidiae

Auteurs: Mafalda Reis-Pereira Renan Tosin Rui Martins Filipe Neves dos Santos Fernando Tavares Mário Cunha
Publié dans: Plants, 2022, ISSN 2223-7747
Éditeur: MDPI

Quality of Information within Internet of Things Data

Auteurs: Tomás Alcañiz, Aurora González-Vidal, Alfonso P. Ramallo, Antonio F. Skarmeta
Publié dans: Data Integrity and Quality [Working Title], 2021
Éditeur: IntechOpen
DOI: 10.5772/intechopen.95844

Agricultural Information Model

Auteurs: Raul Palma, Ioanna Roussaki, Till Döhmen, Rob Atkinson, Soumya Brahma, Christoph Lange, George Routis, Marcin Plociennik, Szymon Mueller
Publié dans: Information and Communication Technologies for Agriculture—Theme III: Decision (Series: Springer Optimization and Its Applications), 2022
Éditeur: Springer
DOI: 10.1007/978-3-030-84152-2_1

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

Auteurs: 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
Publié dans: The Semantic Web – ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2–6, 2020, Proceedings, Part II, Numéro 12507, 2020, Page(s) 176-192, ISBN 978-3-030-62465-1
Éditeur: 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

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

The importance of data quality assessment for machinery data in the field of agriculture

Auteurs: Morteza Abdipourchenarestansofla, Christof Schroth
Publié dans: LAND.TECHNIK.2022, 2022, ISBN 9783181023952
Éditeur: VDI Verlag
DOI: 10.51202/9783181023952-495

Design Principles for Data Spaces

Auteurs: Ulrich Ahle, Harrie Bastiaansen, Kjell Bengtsson, Mallku Caballero, Silvia Castellvi, Alberto Dognini, Frans van Ette, Marianna Faraldi, Joshua Gelhaar, Alessio Graziani, Andrej Grguric, Sergio Gusmeroli, Kristian Helmholt, Juan Jose Hierro, Denise Hoppenbrouwer, Thorsten Huelsmann, Srdjan Krco, Antonio Kung, Nuria De Lama, Oscar Lazaro, et al.
Publié dans: 2021
Éditeur: International Data Spaces Association

Role of IoT in addressing theagroecological focus of theGreen Deal

Auteurs: Luis Pérez-Freire (editor), Lars T. Berger, Senka Gajinov, Sdrjan Krco, Dolores Ordóñez, Marcin Plociennik, Nikos Kalatzis, Nikos Marianos
Publié dans: AIOTI WG on Agri, 2022
Éditeur: AIOTI

Qualitative Parameter Analysis for Botrytis cinerea Forecast Modelling Using IoT Sensor Networks

Auteurs: Nenad Gligoric, Tomo Popovic ORCID logo , Dejan Drajic, Spasenija Gajinov, Srdjan Krco
Publié dans: Preprints, 2022
Éditeur: Preprints
DOI: 10.20944/preprints202108.0072.v1

Droits de propriété intellectuelle

COMPREHENSIVE AND FLEXIBLE SYSTEM OF CONTROL AND MONITORING IN PRECISION AGRICULTURE (Machine-translation by Google Translate, not legally binding)

Numéro de demande/publication: 20 1831025
Date: 2018-10-22
Demandeur(s): UNIVERSIDAD DE MURCIA

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