RT Journal Article
T1 Is the vessel fishing? Discrimination of fishing activity with low-cost intelligent mobile devices through traditional and heuristic approaches
A1 Galotto Tébar, María del Mar
A1 Pomares Padilla, A.
A1 Czerwinski, I. A.
A1 Gutiérrez Estrada, Juan Carlos
AB 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.
PB Elsevier
SN 0957-4174
YR 2022
FD 2022
LK http://hdl.handle.net/10272/21267
UL http://hdl.handle.net/10272/21267
LA eng
NO Galotto-Tébar, M. M., Pomares-Padilla, A., Czerwinski, I. A., & Gutiérrez-Estrada, J. C. (2022). Is the vessel fishing? Discrimination of fishing activity with low-cost intelligent mobile devices through traditional and heuristic approaches. In Expert Systems with Applications (Vol. 200, p. 117091). Elsevier BV. https://doi.org/10.1016/j.eswa.2022.117091
DS Repositorio Institucional de la Universidad de Huelva
RD 31 may 2026