Fingerlings mass estimation: A comparison between deep and shallow learning algorithms

Fingerlings mass estimation: A comparison between deep and shallow learning algorithms

The paper presents some results regarding the automatic mass estimation of Pintado Real fingerlings, using machine learning techniques to support the fish production process. For this purpose, an image dataset called FISHCV1206FSEG, was created which is composed of 1206 images of fingerlings with th...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Adair da Silva Oliveira Junior, Diego André Sant’Ana, Marcio Carneiro Brito Pache, Vanir Garcia, Vanessa Aparecida de Moares Weber, Gilberto Astolfi, Fabricio de Lima Weber, Geazy Vilharva Menezes, Gabriel Kirsten Menezes, Pedro Lucas França Albuquerque, Celso Soares Costa, Eduardo Quirino Arguelho de Queiroz, João Victor Araújo Rozales, Milena Wolff Ferreira, Marco Hiroshi Naka, Hemerson Pistori
Format: article
Langue:EN
Publié: Elsevier 2021
Sujets:
Fish
Classification
Mass estimate
Pintado real
Computer vision
Agriculture (General)
S1-972
Agricultural industries
HD9000-9495
Accès en ligne:https://doaj.org/article/6ba35f5a32c547899ff4f496b328e284
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Internet

https://doaj.org/article/6ba35f5a32c547899ff4f496b328e284

Documents similaires