1. Advances in electronic monitoring of fishing catches based on artificial intelligence
- Author
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Ovalle Macías, Juan Carlos, Velasco Gil, Eva María, Vilas Fernández, Carlos, Abad Casas, Esther, Valeiras Mota, Julio, Pérez Martín, Ricardo, Taboada Antelo, Luis, Ovalle Macías, Juan Carlos, Velasco Gil, Eva María, Vilas Fernández, Carlos, Abad Casas, Esther, Valeiras Mota, Julio, Pérez Martín, Ricardo, and Taboada Antelo, Luis
- 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., Peer Reviewed
- Published
- 2021