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Sustainable tuna fisheries through advanced earth observation technologies

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

User guides with the novel modelling incorporated to MarineView

The user guides will explain in detail the new features and how to use them appropriatelyProject Output:What's New in the SmartMarineView final product, which is one of the product results.WP3 T3.3

Demo of algorithms in MarineView

The demo will include early developments to be tested by Echebastar and other potential clients.Project Output :At this point, the new features incorporated in Marine View will be shown, which is one of the exploitable results of the project.W3 T3.1

Report on models developed for propulsion efficiency and validation results

The modelling approaches selected will be described together with a repeated cross-validation assessmentProject Output:The results obtained with respect to the carbon footprint certifications and the results of the fuel consumption models will be included in this deliverable.WP2 T2.1

Website, presentation video and brochures

Early in the project this dissemination material will be produced to help the marketing and communication of project objectives and achievements. Website will be actively updated to generate new content in a regular basisWP5 T5.1

Short demonstration videos.

Short videos presenting the results of the project and each of the final productsWP5 T5.5

Engagement questionnaire.

A survey related to fishing efficiency will be developed at the start of the project to be distributed among the fishing sector with to assess the needs, limitations and opportunities that can confront this projectWP5 T5.3

Data Managment Plan

Data Management PlanThe data management plan should be a deliverable with deadline at month 6. The type of deliverable of the data management plan must be ORDP otherwise you will not be able to submit the grant agreement to the Commission.The data management plan (DMP) is a document outlining how the research data collected or generated will be handled during a research project, and after it is completed, describing what data will be collected / generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Publications

Fuel consumption of free-swimming school versus FAD strategies in tropical tuna purse seine fishing

Auteurs: Oihane C. Basurko, Gorka Gabiña, Jon Lopez, Igor Granado, Hilario Murua, Jose A. Fernandes, Iñigo Krug, Jon Ruiz, Zigor Uriondo
Publié dans: Fisheries Research, Numéro 245, 2022, Page(s) 106139, ISSN 0165-7836
Éditeur: Elsevier BV
DOI: 10.1016/j.fishres.2021.106139

Machine learning in marine ecology: an overview of techniques and applications

Auteurs: Peter Rubbens, Stephanie Brodie, Tristan Cordier, Diogo Destro Barcellos, Paul Devos, Jose A Fernandes-Salvador, Jennifer I Fincham, Alessandra Gomes, Nils Olav Handegard, Kerry Howell, Cédric Jamet, Kyrre Heldal Kartveit, Hassan Moustahfid, Clea Parcerisas, Dimitris Politikos, Raphaëlle Sauzède, Maria Sokolova, Laura Uusitalo, Laure Van den Bulcke, Aloysius T M van Helmond, Jordan T Watson, He
Publié dans: ICES Journal of Marine Science, 2023, ISSN 1054-3139
Éditeur: Oxford University Press
DOI: 10.1093/icesjms/fsad100

Predicting Ship Fuel Consumption Using A Combination Of Metocean And On-board Data

Auteurs: Zhou, Y., Pazouki, K., Murphy, A.J., Uriondo, Z., Granado, I., Quincoces, I., Fernandes, J.A.
Publié dans: Ocean Engineering, 2023, ISSN 0029-8018
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.oceaneng.2023.115509

A Fishing Route Optimization Decision Support System: The case of the tuna purse seiner.

Auteurs: Granado, I., Hernando, L., Uriondo, Z., Fernandes-Salvador, J.A
Publié dans: European Journal of Operational Research, 2023, ISSN 0377-2217
Éditeur: Elsevier BV
DOI: 10.1016/j.ejor.2023.07.009

Towards a framework for fishing route optimization decision support systems: Review of the state-of-the-art and challenges

Auteurs: Igor Granado, Leticia Hernando, Ibon Galparsoro, Gorka Gabiña, Carlos Groba, Raul Prellezo, Jose A. Fernandes
Publié dans: Journal of Cleaner Production, Numéro 320, 2021, Page(s) 128661, ISSN 0959-6526
Éditeur: Elsevier BV
DOI: 10.1016/j.jclepro.2021.128661

Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery

Auteurs: Nerea Goikoetxea, Izaro Goienetxea, Jose A. Fernandes-Salvador, Nicolas Goñi, Igor Granado, Iñaki Quincoces, Leire Ibaibarriaga, Jon Ruiz, Hilario Murua, Ainhoa Caballero
Publié dans: Ecological Informatics, Numéro Volume 81, July 2024, 102577, 2024, ISSN 1574-9541
Éditeur: Elsevier BV
DOI: 10.1016/j.ecoinf.2024.102577

Implications for Global Tuna Fishing Industry of Climate Change-Driven Alterations in Productivity and Body Sizes

Auteurs: Erauskin-Extramiana, Maite and Chust, Guillem and Arrizabalaga, Haritz and Cheung, William W. L. and Santiago, Josu and Merino, Gorka and Fernandes-Salvador, Jose A.
Publié dans: Global and Planetary Change, 2023, ISSN 0921-8181
Éditeur: Elsevier BV
DOI: 10.2139/ssrn.4059543

Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning

Auteurs: Xabier Lekunberri, Jon Ruiz, Iñaki Quincoces, Fadi Dornaika, Ignacio Arganda-Carreras, Jose A. Fernandes
Publié dans: Ecological Informatics, 2022, ISSN 1574-9541
Éditeur: Elsevier BV
DOI: 10.1016/j.ecoinf.2021.101495

Toward Digitalization of Fishing Vessels to Achieve Higher Environmental and Economic Sustainability

Auteurs: Zigor Uriondo; Jose A. Fernandes-Salvador; Karl-Johan Reite; Iñaki Quincoces; Kayvan Pazouki
Publié dans: ACS Environmental Au, Numéro 5, 2024, ISSN 2694-2518
Éditeur: American Chemical Society
DOI: 10.1021/acsenvironau.3c00013

Modelling tuna purse seiners fuel efficiency in real-world operations using machine learning approaches

Auteurs: Zhou Y, Pazouki K, Murphy AJ, Uriondo Z, Granado I, Quincoces I, Fernandes-Salvador J
Publié dans: 15th International Symposium on Practical Design of Ships and Other Floating Structures (PRADS 2022) - Proceedings, Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Zagreb, Croatia, Numéro 2, 2022, Page(s) 1410-1426, ISBN 978-953-7738-87-7
Éditeur: 15th International Symposium on Practical Design of Ships and Other Floating Structures (PRADS 2022)
DOI: 10.57711/1k5s-3n93

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