The objective of the present study is to predict fishing grounds to catch tropical tuna species (SKJ, YFT and BET), while simultaneously reducing the bycatch of ...
Apr 12, 2024 · Our aim is to develop 3D habitat models of the main commercial fishes across the Atlantic Ocean, accounting for 67 % of the total biomass ...
The present study aims at contributing to a more sustainable and cleaner fishing, ie catching the same amount of target tuna with less fuel consumption/ ...
Highlights. 22. • This work illustrates how machine-learning techniques can contribute to a more sustainable. 23 fisheries production.
8 days ago · Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery. ... purse seiner catches using computer vision and deep learning ...
▻ Machine learning provides new opportunities for improving fisheries management. ▻ We trained random forests to detect bycatch risk in tuna purse seine ...
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Aug 5, 2024 · Hilario Murua, Ainhoa Caballero: Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery. Ecol. Informatics 81: 102577 ...
Global Atlas of AIS-based fishing activity, 137, 2019. 2, 2019. Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery. N Goikoetxea, I ...
Oct 22, 2024 · We review the scientific underpinnings of pelagic MPA effects, spatio-temporal patterns of Indian Ocean tuna catch, bycatch and fish movements,
May 2, 2024 · Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery. Among the various challenges facing tropical tuna purse seine ...