Optimisation of digital catch monitoring and reporting in European Fisheries

Informazioni relative al progetto

OptiFish

ID dell’accordo di sovvenzione: 101136674

DOI

10.3030/101136674

Data della firma CE 6 Dicembre 2023

Data di avvio 1 Febbraio 2024

Data di completamento 31 Gennaio 2028

Finanziato da

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Costo totale

€ 5 438 952,50

Contributo UE

€ 4 972 602,50

Coordinato da

EIGEN VERMOGEN VAN HET INSTITUUT VOOR LANDBOUW- EN VISSERIJONDERZOEK
Belgium

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (9)

Requirements specification and system architecture

A technical report summarising the requirements elicitation process, the obtained requirements, and the corresponding architecture for the data platform and supported systems, including all used and produced metadata and performance standards

Initial Work Plan for testing and validation

Work Plan, progress report and final report for testing and validation

Update Dissemination, Communication and Exploitation (DEC) Plan

DEC plan and updates including the results of its deployment.

First Sustainability plan and IPR management strategy

Set of clear measures to ensure sustainability and effective IPR management of OptiFish results

First Business models and go-to market strategy

A go-to- market analysis with viable pathways for end users to access technologies and tech developers to bring their solutions closer to market.

Workshop methodology - protocol for case area leaders

Protocol for case study leaders running MALs

initial Project Management Handbook

Organisational structure, operation procedures , management tools, risk management, quality assurance

Initial Dissemination, Communication and Exploitation (DEC) Plan

Initial DEC plan and updates including the results of its deployment.

Blue paper: Requirement standards

Report with minimum requirements for each technology, relative to the pilot studies and wider application

Pubblicazioni

Peer reviewed articles (4)

Towards Trustworthy Artificial Intelligence for Marine Research, Fisheries and Environmental Management

Autori: Jose A. Fernandes‐Salvador, Angel Borja, Asier Anabitarte, Igor Granado, Xabier Lekunberri, Yolanda Sagarminaga, Oriol Canals, Anders Lanzen, Mihailo Azhar, Jonne Kotta, Henn Ojaveer, Anna Spinosa, Ari‐Pekka Jokinen, Lumi Haraguchi, Sanjina Upadhyay Stæhr, Aritz Pérez, Iñaki Inza, Sebastian Villasante, Gabriela A. Oanta, Catarina N. S. Silva, Rachel Tiller, Julian Lilkendey
Pubblicato in: Fish and Fisheries, 2026, ISSN 1467-2960
Editore: Wiley
DOI: 10.1111/FAF.70052

Automatic mapping of aquaculture activity in the Atlantic Ocean

Autori: Xabier Lekunberri, J. David Ballester-Berman, Ignacio Arganda-Carreras, Jose A. Fernandes-Salvador
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, Numero 132, 2024, ISSN 1569-8432
Editore: Elsevier BV
DOI: 10.1016/J.JAG.2024.104061

Novelty Recognition: Fish Species Classification via Open-Set Recognition

Autori: Manuel Córdova, Ricardo da Silva Torres, Aloysius van Helmond, Gert Kootstra
Pubblicato in: Sensors, Numero 25, 2025, ISSN 1424-8220
Editore: MDPI AG
DOI: 10.3390/S25051570

Machine Learning Applications for Fisheries—At Scales from Genomics to Ecosystems

Autori: Bernhard Kühn, Arjay Cayetano, Jennifer I. Fincham, Hassan Moustahfid, Maria Sokolova, Neda Trifonova, Jordan T. Watson, Jose A. Fernandes-Salvador, Laura Uusitalo
Pubblicato in: Reviews in Fisheries Science & Aquaculture, Numero 33, 2025, ISSN 2330-8249
Editore: Informa UK Limited
DOI: 10.1080/23308249.2024.2423189

Conference proceedings (1)

Towards Visual Re-Identification of Fish using Fine-Grained Classification for Electronic Monitoring in Fisheries

Autori: Thilakarathna, Samitha Nuwan; Avsar, Ercan; Nielsen, Martin Mathias; Pedersen, Malte
Pubblicato in: NLDL 2026
Editore: 7th Northern Lights Deep Learning Conference (NLDL)
DOI: 10.5281/ZENODO.18374122

Other (1)

A Digital Architecture for Smarter Catch Monitoring in EU Fisheries: The OptiFish Approach

Autori: Koukourikos, Antonis, Fernandez, Josean, Blondeel, Lancelot, de Boer, Teun
Editore: Zenodo
DOI: 10.5281/ZENODO.17182052