most citedTuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data

15 citations · 15 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2022

How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patterns

Manuel Navarro-García, Daniel Precioso, Kathryn Gavira-O'Neill +4

Based on the data gathered by echo-sounder buoys attached to drifting Fish Aggregating Devices (dFADs) across tropical oceans, the current study applies a Machine Learning protocol…

stat.ML2021★ 15 cited

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

Daniel Precioso, Manuel Navarro-García, Kathryn Gavira-O'Neill +4

Echo-sounder data registered by buoys attached to drifting FADs provide a very valuable source of information on populations of tuna and their behaviour. This value increases whent…