Predicting Fishing Footprint of Trawlers From Environmental and Fleet Data: An Application of Artificial Neural Networks
The increasing use of tracking devices, such as the Vessel Monitoring System (VMS) and the Automatic Identification System (AIS), have allowed, in the last decade, detailed spatial and temporal analyses of fishing footprints and of their effects on environments and resources. Nevertheless, tracking...
Main Authors: | Tommaso Russo, Simone Franceschini, Lorenzo D’Andrea, Michele Scardi, Antonio Parisi, Stefano Cataudella |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-11-01
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Series: | Frontiers in Marine Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fmars.2019.00670/full |
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