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

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Bibliografiset tiedot
Julkaisussa:	Latin American Journal of Aquatic Research vol. 53, no. 3 (Jul 2025), p. 411-425
Päätekijä:	Alvarado, Eloy
Muut tekijät:	Plaza-Vega, Francisco, Montenegro, Carlos, Saavedra, Oscar
Julkaistu:	Pontificia Universidad Catolica de Valparaiso
Aiheet:	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
Linkit:	Citation/Abstract Full Text Full Text - PDF
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