[HTML][HTML] A fishing route optimization decision support system: The case of the tuna purse seiner

I Granado, L Hernando, Z Uriondo… - European Journal of …, 2024 - Elsevier
Fisheries face challenges in improving efficiency and reducing their emission footprint and
operating costs. Decision support systems offer an opportunity to tackle such challenges …

Predicting skipjack tuna fishing grounds in the Western and Central Pacific Ocean based on high-spatial-temporal-resolution satellite data

TY Hsu, Y Chang, MA Lee, RF Wu, SC Hsiao - Remote Sensing, 2021 - mdpi.com
Skipjack tuna are the most abundant commercial species in Taiwan's pelagic purse seine
fisheries. However, the rapidly changing marine environment increases the challenge of …

Machine learning for characterizing tropical tuna aggregations under Drifting Fish Aggregating Devices (DFADs) from commercial echosounder buoys data

Y Baidai, L Dagorn, MJ Amande, D Gaertner… - Fisheries …, 2020 - Elsevier
The use of echosounder buoys deployed in conjunction with Drifting Fish Aggregating
Devices (DFADs) has progressively increased in the tropical tuna purse seine fishery since …

Towards acoustic discrimination of tropical tuna associated with fish aggregating devices

G Moreno, G Boyra, I Sancristobal, D Itano, V Restrepo - PloS one, 2019 - journals.plos.org
Tropical tuna support some of the largest and most valuable artisanal and industrial fisheries
worldwide, conducted to a large degree with Fish Aggregating Devices (FADs). Yellowfin …

Machine learning to detect bycatch risk: Novel application to echosounder buoys data in tuna purse seine fisheries

L Mannocci, Y Baidai, F Forget, MT Tolotti… - Biological …, 2021 - Elsevier
The advent of big data and machine learning offers great promise for addressing
conservation and management questions in the oceans. Yet, few applications of machine …

Seasonal distribution of tuna and non-tuna species associated with drifting fish aggregating devices (DFADs) in the western Indian Ocean using fishery-independent …

B Orúe, MG Pennino, J Lopez, G Moreno… - Frontiers in Marine …, 2020 - frontiersin.org
Man-made floating objects in the surface of tropical oceans, also called drifting fish
aggregating devices (DFADs), attract tens of marine species, including tunas and non-tuna …

A novel index of abundance of juvenile yellowfin tuna in the Atlantic Ocean derived from echosounder buoys

J Santiago, J Uranga, I Quincoces… - Sede Central …, 2019 - digital.csic.es
The collaboration with the Spanish vessel-owners associations and the buoy-providers
companies, has made it possible the recovery of the information recorded by the satellite …

[HTML][HTML] Fidelity of yellowfin tuna to seamount and island foraging grounds in the central South Atlantic Ocean

SR Wright, D Righton, J Naulaerts, RJ Schallert… - Deep Sea Research …, 2021 - Elsevier
The yellowfin tuna (Thunnus albacares) is a widely distributed, migratory species that
supports valuable commercial fisheries throughout their range. Management of migratory …

TUN-AI: Tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data

D Precioso, M Navarro-García, K Gavira-O'Neill… - Fisheries …, 2022 - Elsevier
The use of dFADs by tuna purse-seine fisheries is widespread across oceans, and the echo-
sounder buoys attached to these dFADs provide fishermen with estimates of tuna biomass …

Tuna aggregation dynamics at Drifting Fish Aggregating Devices: a view through the eyes of commercial echosounder buoys

Y Baidai, L Dagorn, MJ Amandè… - ICES Journal of …, 2020 - academic.oup.com
This study addresses novel questions on the dynamics of tuna aggregations around floating
objects, using echosounder buoys data collected throughout the drifts of newly deployed …