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Using mobile device’s sensors to identify fishing activity

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Abstract

Fisheries management is generally based on the regulation of the fishing effort, by limiting fishing capacity and activity. The fishing capacity can be quantified objectively, however, the calculation of the fishing activity requires knowing the effective fishing time, for which it is essential to monitor the vessels activity. The European Vessel Monitoring System (VMS) only describes the geographical position, course and speed of the vessel at 2-h intervals, it is an expensive system used only in vessels over 12 m in length and there are no common criteria to infer the fishing activity from the VMS data. To evaluate more precisely the fishing activity, we propose to incorporate new sensors in the vessels that provide additional information. The sensors of mobile devices offer an economic solution that would allow their implementation throughout the fishing fleet. The objective of this work is to evaluate whether the most common sensors integrated in current mobile devices: GPS, accelerometer, gyroscope, and magnetic field, offer relevant information to identify the different phases of bottom trawling fishing activity. The results obtained indicate that these sensors detect, with very high precision, foreseeable changes in the movement of the vessel during the towing manoeuvre.

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Acknowledgements

This work has been developed, thanks to the Spanish Institute of Oceanography (IEO) collaboration and especially to the Medits-2016 campaign head Mr. Antonio Esteban Acón who facilitated our boarding in the Miguel Oliver oceanographic vessel whose crew was especially supportive. Our greatest thanks to BQ Spain (https://www.bq.com) for the material and technical support and to the company SatLink (http://satlink.es) for the information provided. We would also like to thank the Miguel Hernández University professors: Miguel Onofre Martínez Rach, Maria Asunción Vicente Ripoll and César Fernández Peris for collaborating in writing the manuscript and in the APP development. Finally, I would like to thank the editor and reviewers of the Journal of Marine Science and Technology for their invaluable help in correcting and refining the content of this article.

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Authors and Affiliations

  1. Dpto. de Ingeniería de Computadores, Universidad Miguel Hernández, Campus de Elche, Avenida del ferrocarril s/n, 03202, Elche, Alicante, Spain

    M. M. Galotto-Tebar & A. Pomares-Padilla

  2. Dpto. de Biología, Facultad de CC. del Mar y Ambientales, Universidad de Cádiz, Campus de Puerto Real, 11510, Puerto Real, Cádiz, Spain

    I. A. Czerwinski

  3. Dpto. de Ciencias Agroforestales, Escuela Técnica Superior de Ingeniería, Campus de El Carmen, Universidad de Huelva, 21007, Huelva, Spain

    J. C. Gutiérrez-Estrada

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  1. M. M. Galotto-Tebar
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  2. A. Pomares-Padilla
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  3. I. A. Czerwinski
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  4. J. C. Gutiérrez-Estrada
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Correspondence to M. M. Galotto-Tebar.

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Galotto-Tebar, M.M., Pomares-Padilla, A., Czerwinski, I.A. et al. Using mobile device’s sensors to identify fishing activity. J Mar Sci Technol 25, 978–989 (2020). https://doi.org/10.1007/s00773-019-00694-5

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  • DOI: https://doi.org/10.1007/s00773-019-00694-5

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