Is the vessel fishing? Discrimination of fishing activity with low-cost intelligent mobile devices through traditional and heuristic approaches

•European fishing ships are controlled by a vessel monitoring system (VMS).•FAMI system exceeds in reliability and accuracy the current VMS.•The mobile’ sensors can be used by learning machines to predict fishing events.•Multilayer perceptrons identified correctly 96.26% of the fishing events. Knowi...

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Bibliographic Details
Published in:Expert systems with applications 2022-08, Vol.200, p.117091, Article 117091
Main Authors: Galotto-Tébar, M.M., Pomares-Padilla, A., Czerwinski, I.A., Gutiérrez-Estrada, J.C.
Format: Article
Language:English
Subjects:
Accelerometers
Artificial neural networks
Discriminant analysis
Discrimination
Electronic devices
Fishing
Heuristic methods
Low cost
Machine learning
Mobile device
Monitoring
Multilayer perceptrons
Sensor
Sensors
Ship’s behavior
Statistical methods
Trawl fishing
Vessel monitoring system
Vessels
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Summary:•European fishing ships are controlled by a vessel monitoring system (VMS).•FAMI system exceeds in reliability and accuracy the current VMS.•The mobile’ sensors can be used by learning machines to predict fishing events.•Multilayer perceptrons identified correctly 96.26% of the fishing events. Knowing the activity of fishing vessels accurately and in real time means a leap in quality in the management of fishing activity. This paper presents the development of a new fishing activity monitoring integral system (FAMIS) that can complement and overcome the limitations of current fishing vessel monitoring systems (VMS). FAMIS is developed on the basis of a low-cost mobile device with GPS sensors, accelerometer, gyroscope and magnetic field and integrates different statistical methods (discriminant functions) and heuristics (artificial neural networks and vectorial support machines) as techniques to classify the information recorded by the sensors of a mobile device during fishing activity. The results obtained with FAMIS indicate that, in general, heuristics have a high degree of discrimination of each of the phases of fishing operation and that, in particular, multilayer perceptrons (MLPs) are capable of correctly identifying 96.3% of towing phases using only GPS and gyro sensors.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2022.117091