Convolutional Neural Networks in the Inspection of Serrasalmids (Characiformes) Fingerlings

Convolutional Neural Networks in the Inspection of Serrasalmids (Characiformes) Fingerlings

Aquaculture produces more than 122 million tons of fish globally. Among the several economically important species are the Serrasalmidae, which are valued for their nutritional and sensory characteristics. To meet the growing demand, there is a need for automation and accuracy of processes, at a low...

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Bibliographic Details
Main Authors: Marília Parreira Fernandes, Adriano Carvalho Costa, Heyde Francielle do Carmo França, Alene Santos Souza, Pedro Henrique de Oliveira Viadanna, Lessandro do Carmo Lima, Liege Dauny Horn, Matheus Barp Pierozan, Isabel Rodrigues de Rezende, Rafaella Machado dos S. de Medeiros, Bruno Moraes Braganholo, Lucas Oliveira Pereira da Silva, Jean Marc Nacife, Kátia Aparecida de Pinho Costa, Marco Antônio Pereira da Silva, Rodrigo Fortunato de Oliveira
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Animals
Subjects:
aquaculture
Internet of Things
neural network
Online Access:https://www.mdpi.com/2076-2615/14/4/606

Internet

https://www.mdpi.com/2076-2615/14/4/606

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