The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed

The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed

The present study investigates the suitability of a machine vision-based method to detect deviations in the Shannon entropy (SE) of a European seabass (Dicentrarchus labrax) biological system fed with different selenium:mercury (Se:Hg) molar ratios. Four groups of fish were fed during 14 days with c...

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Bibliographic Details
Main Authors: Harkaitz Eguiraun, Oskar Casquero, Iciar Martinez
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Entropy
Subjects:
entropy
seabass
mercury
selenium
fish welfare
machine vision
contaminant detection
biological warning systems
system perturbation
environmental monitoring
Online Access:http://www.mdpi.com/1099-4300/20/2/90

Internet

http://www.mdpi.com/1099-4300/20/2/90

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