Next Article in Journal
Strong- and Weak-Universal Critical Behaviour of a Mixed-Spin Ising Model with Triplet Interactions on the Union Jack (Centered Square) Lattice
Next Article in Special Issue
Automatic Analysis of Archimedes’ Spiral for Characterization of Genetic Essential Tremor Based on Shannon’s Entropy and Fractal Dimension
Previous Article in Journal
Comparative Evaluation of Integrated Waste Heat Utilization Systems for Coal-Fired Power Plants Based on In-Depth Boiler-Turbine Integration and Organic Rankine Cycle
Previous Article in Special Issue
k-Same-Net: k-Anonymity with Generative Deep Neural Networks for Face Deidentification
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Entropy 2018, 20(2), 90; https://doi.org/10.3390/e20020090

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

1
Department of Graphic Design and Engineering Projects, Faculty of Engineering in Bilbao, University of the Basque Country UPV/EHU, E-48013 Bilbao, Spain
2
Research Center for Experimental Marine Biology and Biotechnology-Plentziako Itsas Estazioa (PiE), University of the Basque Country UPV/EHU, E-48620 Plentzia, Spain
3
Department of Systems Engineering and Automatic Control, Faculty of Engineering in Bilbao, University of the Basque Country UPV/EHU, E-48013 Bilbao, Spain
4
IKERBASQUE Basque Foundation for Science, E-48013 Bilbao, Spain
5
Norwegian College of Fishery Science, Faculty of Biosciences, Fisheries and Economics, University of Tromsø-The Arctic University of Norway, N-9019 Tromsø, Norway
*
Author to whom correspondence should be addressed.
Received: 20 November 2017 / Revised: 16 January 2018 / Accepted: 24 January 2018 / Published: 29 January 2018
(This article belongs to the Special Issue Selected Papers from IWOBI—Entropy-Based Applied Signal Processing)
Full-Text   |   PDF [783 KB, uploaded 30 January 2018]   |  

Abstract

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 commercial feed (control) and with the same feed spiked with 0.5, 5 and 10 mg of MeHg per kg, giving Se:Hg molar ratios of 29.5 (control-C1); 6.6, 0.8 and 0.4 (C2, C3 and C4). The basal SE of C1 and C2 (Se:Hg > 1) tended to increase during the experimental period, while that of C3 and C4 (Se:Hg < 1) tended to decrease. In addition, the differences in the SE of the four systems in response to a stochastic event minus that of the respective basal states were less pronounced in the systems fed with Se:Hg molar ratios lower than one (C3 and C4). These results indicate that the SE may be a suitable indicator for the prediction of seafood safety and fish health (i.e., the Se:Hg molar ratio and not the Hg concentration alone) prior to the displaying of pathological symptoms. We hope that this work can serve as a first step for further investigations to confirm and validate the present results prior to their potential implementation in practical settings. View Full-Text
Keywords: entropy; seabass; mercury; selenium; fish welfare; machine vision; contaminant detection; biological warning systems; system perturbation; environmental monitoring entropy; seabass; mercury; selenium; fish welfare; machine vision; contaminant detection; biological warning systems; system perturbation; environmental monitoring
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Eguiraun, H.; Casquero, O.; Martinez, I. 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. Entropy 2018, 20, 90.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top