How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patterns. (arXiv:2207.07049v1 [stat.ML])

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 to examine the temporal trends of tuna schools'
association to drifting objects. Using a binary output, metrics typically used
in the literature were adapted to account for the fact that the entire tuna
aggregation under the dFAD was considered. The median time it took tuna to
colonize the dFADs for the first time varied …

arxiv echo global identify ml patterns schools study