Automated sorting for size, sex and skeletal anomalies of cultured seabass using external shape analysis

Type Article
Date 2013-01
Language English
Author(s) Costa C.1, Antonucci F.1, Boglione C.2, Menesatti P.1, Vandeputte Marc3, 4, Chatain Beatrice4
Affiliation(s) 1 : Agr Res Council, CRA ING Agr Engn Res Unit, I-00015 Monterotondo, RM, Italy.
2 : Univ Roma Tor Vergata, Dept Biol, LESA Lab Expt Ecol & Aquaculture, I-00133 Rome, Italy.
3 : INRA, Genet Anim & Biol Integrat UMR 1313, F-78350 Jouy En Josas, France.
4 : IFREMER, INTREPID UMR110, F-34250 Palavas Les Flots, France.
Source Aquacultural Engineering (0144-8609) (Elsevier Sci Ltd), 2013-01 , Vol. 52 , P. 58-64
DOI 10.1016/j.aquaeng.2012.09.001
WOS© Times Cited 48
Keyword(s) Image analysis, Fish sorting, Elliptic Fourier analysis, Partial least squares modelling, Quality grading
Abstract In aquaculture, automation of fish processing by computer vision could reduce operating costs, improving product quality and profit. Currently fish are mechanically sorted by size, but market constraints require that externally malformed fish be removed as well. Additionally fish farmers screen for sex, in order to exploit the higher growth potential of females. The aim of this study was the development of methodological tools applicable to the on-line sorting of farmed seabass (Dicentrarchus labrax, L) for size, sex and presence of abnormalities. These tools are based on image analysis and utilizing outline morphometry (Elliptic Fourier analysis) combined with multivariate techniques (based on partial least squares modelling). Moreover, the integration of these techniques produce size estimation (in weight) with a better regression efficiency (r=0.9772) than the commonly used log of the measured body length (r=0.9443). The two partial least squares discriminant analysis models used to select sex and malformed fish also returned high discrimination efficiencies (82.05% and 88.21%, respectively). The implementation of a similar approach within an on-line sorting machine would allow for real-time live fish processing. (C) 2012 Elsevier B.V. All rights reserved.
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