Deep learning-based classification of species in central-southern fisheries in Chile

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Detalles Bibliográficos
Publicado en:	Latin American Journal of Aquatic Research vol. 53, no. 3 (Jul 2025), p. 411-425
Autor principal:	Alvarado, Eloy
Otros Autores:	Plaza-Vega, Francisco, Montenegro, Carlos, Saavedra, Oscar
Publicado:	Pontificia Universidad Catolica de Valparaiso
Materias:	Chile Fish Datasets Bycatch Artificial neural networks Biodiversity Marine ecosystems Sustainable fisheries Computer vision Fisheries Taxonomy Species classification Machine learning Classification Methods Discards Software Decision making Fisheries management Accuracy Programming environments Deep learning Image resolution Pelagic fisheries Sustainability Automation Marine conservation Species Fishery management Neural networks Demersal fisheries Commercial fishing Environmental
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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