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Automated Monitoring of Bluefin Tuna Growth in Cages Using a Cohort-Based Approach

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Automated Monitoring of Bluefin Tuna Growth in Cages Using a Cohort-Based Approach

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Muñoz-Benavent, P.; Andreu García, G.; Martínez-Peiró, J.; Puig Pons, V.; Morillo-Faro, A.; Ordoñez-Cebrian, P.; Atienza-Vanacloig, V.... (2024). Automated Monitoring of Bluefin Tuna Growth in Cages Using a Cohort-Based Approach. Fishes. 9(2). https://doi.org/10.3390/fishes9020046

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/207177

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Title: Automated Monitoring of Bluefin Tuna Growth in Cages Using a Cohort-Based Approach
Author: Muñoz-Benavent, Pau Andreu García, Gabriela Martínez-Peiró, Joaquín Puig Pons, Vicente Morillo-Faro, Andrés Ordoñez-Cebrian, Patricia Atienza-Vanacloig, Vicente Pérez Arjona, Isabel Espinosa Roselló, Víctor Alemany, Francisco
UPV Unit: Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi
Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia
Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Issued date:
Abstract:
[EN] In this article, the evolution of BFT (bluefin tuna) sizes in fattening cages is studied, for which it was necessary to perform exhaustive monitoring with stereoscopic cameras and an exhaustive analysis of the data ...[+]
Subjects: Bluefin tuna growth , Fish monitoring , Fish weight estimation , Stereoscopic computer vision , Cohort-based approach
Copyrigths: Reconocimiento (by)
Source:
Fishes. (eissn: 2410-3888 )
DOI: 10.3390/fishes9020046
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/fishes9020046
Project ID:
info:eu-repo/grantAgreement/GV INNOV.UNI.CIENCIA//THINKINAZUL%2F2021%2F007//INTEGRACION DE TECNOLOGIA DIGITAL Y DEEP LEARNING PARA CONTRIBUIR A MODELOS DE PESCA Y ACUICULTURA INTELIGENTES, MEDIANTE PROCESAMIENTO AUTOMÁTICO DE IMAGENES (ACUINTTEC)/
info:eu-repo/grantAgreement/GV INNOV.UNI.CIENCIA//THINKINAZUL%2F2021%2F009//Monitorización acústica para una acuicultura de precisión: red de observación acústica en granjas marinas mediterráneas (ACUPREC)/
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//AICO%2F2021%2F016//TECNICAS AVANZADAS DE VXC BASADAS EN DEEP LEARNING Y CNNS PARA LA CARACTERIZACION BIOMETRICA DEL ATUN ROJO/
info:eu-repo/grantAgreement/MICINN//PRTR-C17.I1/
Thanks:
This study forms part of the ThinkInAzul programme and was supported by the MCINwith funding from the European Union's NextGenerationEU (PRTR-C17.I1) and the Generalitat Valenciana (THINKINAZUL/2021/007, THINKINAZUL/2021/009, ...[+]
Type: Artículo

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