Fish as a source of acoustic signal measurement in an aquaculture tank: acoustic sensor based time frequency analysis

Authors

  • Shahbaz Gul Hassan 1. College of Engineering, South China Agricultural University / Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China； 2. National Joint Research Center for Precision Agricultural Aviation Application Technology, Guangzhou 510642, China； 3. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou, Guangdong Province, P.R. China, Guangzhou 510642, China
  • Shakeel Ahmed 4. College of Economics and Statistics, Guangzhou University, Guangzhou 100083, China;
  • Shafqat Iqbal 4. College of Economics and Statistics, Guangzhou University, Guangzhou 100083, China;
  • Ehsan Elahi 7. College of Economics and Management, Nanjing University of Information Science and Technology, Nanjing 210044, China;
  • Murtaza Hassan 5. Department of Biochemistry Biotechnology, Islamia University Bahawalpur Pakistan;
  • Daoliang Li 8. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
  • Zhiyan Zhou 1. College of Engineering, South China Agricultural University/Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 2. National Joint Research Center for Precision Agricultural Aviation Application Technology, Guangzhou 510642, China; 3. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou 510642, China;
  • Adnan Abbas 6. College of Engineering, China Agricultural University, Beijing 100083, China;
  • Cancan Song 1. College of Engineering, South China Agricultural University/Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 2. National Joint Research Center for Precision Agricultural Aviation Application Technology, Guangzhou 510642, China; 3. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou 510642, China;

DOI:

https://doi.org/10.25165/ijabe.v12i3.4238

Keywords:

acoustic signals, acoustic sensor, fish, aquaculture, time frequency analysis, signal processing

Abstract

Acoustic signals travels rapidly in water without attenuating fish telemetry. The digital sonar and passive acoustic has been used for fish monitoring and fish feeding. However, it is an urgent need to introduce new techniques in order to monitor the growth rate of fish during harvesting and without causing adverse effects to the harvested fish. Therefore, a novel technique was introduced to probe the acoustic signal frequency ratio in absence and presence of the fish in tanks, which basically uses an acoustic sensor (hydrophone), acoustic signal processing system (scope meter), and a signal monitoring system (fluke view). Acoustic signals were selected from 48-52 Hz frequency, measure of dispersion of frequency signal represented as a function of time via Xlstat software. Measure of dispersion displayed a significant effect of acoustic signal in the presence and absence of the fish in tanks. These optimised protocols of this study will help to control and prevent excessive wastage of feed and enhance proper utilization of feed that chiefly enhance fish growth in aquaculture Keywords: acoustic signals, acoustic sensor, fish, aquaculture, time frequency analysis, signal processing DOI: 10.25165/j.ijabe.20191203.4238 Citation: Hassan S G, Ahmed S, Iqbal S, Elahi E, Hasan M, Li D L, et al. Fish as a source of acoustic signal measurement in an aquaculture tank: Acoustic sensor based time frequency analysis. Int J Agric & Biol Eng, 2019; 12(3): 110–117.

Author Biography

Shahbaz Gul Hassan, 1. College of Engineering, South China Agricultural University / Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China； 2. National Joint Research Center for Precision Agricultural Aviation Application Technology, Guangzhou 510642, China； 3. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou, Guangdong Province, P.R. China, Guangzhou 510642, China

College of Engineering, Post Doctoriate

References

Cao L, Naylor R, Henriksson P, Leadbitter D, Metian M, Troell M, et al. China's aquaculture and the world's wild fisheries. Science, 2018; 347(6218): 133–135.

Shen X, Chen M, Yu J. In Water environment monitoring system based on neural networks for shrimp cultivation. International Conference on Artificial Intelligence and Computational Intelligence, IEEE, AICI'09, 2009; pp.427–431.

Cromey C, Nickell T, Black K. DEPOMOD—modelling the deposition and biological effects of waste solids from marine cage farms. Aquaculture, 2002; 214(1-4): 211–239.

Ferreira J G, Hawkins A J S, Bricker S B. Management of productivity, environmental effects and profitability of shellfish aquaculture — the Farm Aquaculture Resource Management (FARM) model. Aquaculture, 2007; 264(1-4): 160–174.

Pérez O, Telfer T, Beveridge M. Geographical Information Systems (GIS) as a simple tool to aid modelling of particulate waste distribution at marine fish cage sites. Estuarine, Coast, 2002; 54(4): 761–768.

Corner R, Brooker A, Telfer T, Ross L. A fully integrated GIS-based model of particulate waste distribution from marine fish-cage sites. Aquaculture, 2006; 258(1-4): 299–311.

Li D L, Hassan M, Khan K A, Abbas A, Bano S. Design and instrumentation of Portable Monitoring System for acoustic measurement based on aquatic density. 2017 IEEE International Conference on Computational Science and Engineering (CSE) and Embedded and Ubiquitous Computing (EUC), 2017; 2: pp.166–172.

Huettmann F. Towards a Marine Environmental Information System (MEnvIS) for the Northwest Atlantic: Experiences and suggestions from a multi-disciplinary GIS. Fourth World Sci. Eng. Acad, 2003; 1: 82–90.

McCausland W, Mente E, Pierce G. A simulation model of sustainability of coastal communities: aquaculture, fishing, environment and labour markets. Ecological Modelling, 2006; 193(3-4): 271–94.

Deshmukh S G, Nitin U, Suresh G. Lean manufacturing system for medium size manufacturing enterprises: an Indian case. International Journal of Management Science and Engineering Management, 2010; 5(5): 362–75

MEDVEG. http://www.ist-world.org/Project Details.aspx? ProjectId= eddefd9a8e4248a6b0662fa2d33af423. Accessed on [2010-11-01]

MERAMED. http://meramed.akvaplan.com/, Accessed on [2010-11-01]

ICES Working Group on Environmental Interactions of Mariculture http://www.ices.dk/workinggroups/ViewWorkingGroup.aspx?ID=165. Accessed on [2010-11-01]

EACASA. http://www.ecasa.org.uk/. Accessed on [2010-11-01]

Mauri G, Mauri J. Simulator software for marine fish farms sustainability. WSEAS Transactions on Environment and Development, 2007; 3(12): 214–22.

Zelick R, Mann D A, Popper A N. Acoustic communication in fishes and frogs. In Comparative hearing: Fish and amphibians, Springer, 1999; 363–411.

Popper A N. Effects of anthropogenic sounds on fishes. Fisheries, 2003; 28(10): 24–31.

Baras E, Lagardère J P. Fish telemetry in aquaculture: Review and perspectives. Aquaculture International, 1995; 3(2): 77–102.

Baras E. Selection of optimal positioning intervals in fish tracking: An experimental study on barbus barbus. In Advances in invertebrates and fish telemetry, Springer, 1998; pp.19–28.

Van den Acker E, Van Hoolst T, de Viron O, Defraigne P, Forget F, Hourdin F, et al. Influence of the seasonal winds and the CO2 mass exchange between atmosphere and polar caps on mars' rotation. Journal of Geophysical Research: Planets, 2002; 107(E7): 1–8.

Juell J, Furevik D, Bjordal Å. Demand feeding in salmon farming by hydroacoustic food detection. Aquacultural Engineering, 1993; 12(3): 155–167.

Anras M B, Covés D, Dutto G, Laffargue P, Lagardère F. Tagging juvenile seabass and sole with telemetry transmitters: Medium-term effects on growth. ICES Journal of Marine Science: Journal du Conseil, 2003; 60(6): 1328–1334.

De Rosny J, Roux P. Multiple scattering in a reflecting cavity: Application to fish counting in a tank. The Journal of the Acoustical Society of America, 2001; 109(6): 2587–2597.

Hassan S G, Hasan M. Information fusion in aquaculture: A state-of the art review. Frontiers of Agricultural Science and Engineering, 2016; 3(3): 206–21.

De Rosny J, Roux P, Fink M, Page J. Field fluctuation spectroscopy in a reverberant cavity with moving scatterers. Physical review letters, 2003; 90(9): 094302.

Demer D A, Conti S G. Validation of the stochastic distorted-wave born approximation model with broad bandwidth total target strength measurements of antarctic krill. ICES Journal of Marine Science: Journal du Conseil, 2003; 60(3): 625–635.

Demeret C, Garcia-Carranca A, Thierry F. Transcription-independent triggering of the extrinsic pathway of apoptosis by human papillomavirus 18 e2 protein. Oncogene, 2003; 22(2):168.

Conti S G, Demer D A, Brierley A S. Broad-bandwidth, sound scattering, and absorption from krill (meganyctiphanes norvegica), mysids (praunus flexuosus and neomysis integer), and shrimp (crangon crangon). ICES Journal of Marine Science: Journal du Conseil, 2005; 62(5): 956–965.

Alanärä A, Burns M D, Metcalfe N B. Intraspecific resource partitioning in brown trout: The temporal distribution of foraging is determined by social rank. Journal of Animal Ecology, 2001; 70(6): 980-986.

Jobling M. Do changes in atlantic salmon, salmo salar l., fillet fatty acids following a dietary switch represent wash‐out or dilution? Test of a dilution model and its application. Aquaculture Research, 2003; 214(1-4): 211–239.

Mallekh R, Lagardere J, Eneau J, Cloutour C. An acoustic detector of turbot feeding activity. Aquaculture, 2003; 221(1-4): 481–489;

ummerfelt S T, Holland K H, Hankins J A., Durant M D. A hydroacoustic waste feed controller for tank systems. Water Science and Technology 1995; 31(10): 123–129.

Juell J E. Hydroacoustic detection of food waste—a method to estimate maximum food intake of fish populations in sea cages. Aquacultural Engineering, 1991; 10(3): 207–217.

Lagardère J, Mallekh R. Feeding sounds of turbot (scophthalmus maximus) and their potential use in the control of food supply in aquaculture: I. Spectrum analysis of the feeding sounds. Aquaculture, 2000; 189(3-4): 251–258.

Rogers P H, Cox M. Underwater sound as a biological stimulus. In Sensory biology of aquatic animals, Springer: 1988; pp.131–149.

Kalmijn, A.J. Functional evolution of lateral line and inner ear sensory systems. In The mechanosensory lateral line, Springer: 1989; pp.187–215.

Viejo C G, Fuentes S, Howell K, Torrico D, Dunshea F R. Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications. Food control, 2018; 92: 72–79.

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Published

2019-06-05

How to Cite

Hassan, S. G., Ahmed, S., Iqbal, S., Elahi, E., Hassan, M., Li, D., … Song, C. (2019). Fish as a source of acoustic signal measurement in an aquaculture tank: acoustic sensor based time frequency analysis. International Journal of Agricultural and Biological Engineering, 12(3), 110–117. https://doi.org/10.25165/ijabe.v12i3.4238

Issue

Vol. 12 No. 3 (2019): IJABE

Section

Information Technology, Sensors and Control Systems

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