Advances in electronic monitoring of fishing catches based on artificial intelligence

Authors

  • Juan Carlos Ovalle Macías
  • Eva María Velasco Gil
  • Carlos Vilas Fernández
  • Esther Abad Casas
  • Julio Valeiras Mota
  • Ricardo Pérez Martín
  • Luis Taboada Antelo

DOI:

https://doi.org/10.5821/iwp.2021.21.14768

Abstract

Monitoring plays a key role in all aspects of fsheries management, including those related to sustainable management of resources, the economic performance of the fshery, and the distribution of benefts from the exploitation of the fshery and environment. In this work, software improvements made on the remote electronic monitoring (REM) device iObserver are described towards the improvement of fsheries monitoring by precisely identifying and quantifying fshing catches on board commercial vessel´s. To this aim, we exploit deep learning and convolutional neural networks (CNNs) capabilities and potential.

Issue

No. 21 (2021)

Section

Articles

License

Universitat Politècnica de Catalunya has joined the Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities. This declaration proposes the universal acces to the results of scientific and technical research.

All papers presented at Martech will be published in both the UPCommons and the Martech organization web sites, the former being the institutional digital deposit of Universitat Politècnica de Catalunya (https://upcommons.upc.edu). This difussion will be made through the Creative Commons License Attribution-NonCommercial-NoDerivs 2.5 or similar (http://creativecommons.org/licenses/by-nc-nd/2.5/deed.en).

When sending the final paper, the author must agree to the conference having non-exclusive rights on this operation. The author will maintain his/her right to diffuse the paper elsewhere.