Multiple Water-Level Seawater Temperature Prediction Method for Marine Aquaculture

  • Takanobu OtsukaEmail author
  • Yuji Kitazawa
  • Takayuki Ito
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10868)


The importance of aquaculture continues to grow due to the decrease in natural marine resources and an increase in worldwide demand. To avoid losses from aging and abnormal weather, we must predict multiple water levels of seawater temperature to maintain a more stable supply of marine resources, particularly for high-value added products, such as pearls and scallops. In this paper, we propose an algorithm that estimates seawater temperature in marine aquaculture by combining seawater temperature data and actual weather data.



The part of this research was supported by collaborative with Nichiyu Giken Kogyo Co., Ltd.


  1. [HYCOM 2016]
    Chassignet, E.P., Hurlburt, H.E., Smedstad, O.M., Halliwell, G.R., Hogan, P.J., Wallcraft, A.J., Bleck, R.: Ocean prediction with the hybrid coordinate ocean model (HYCOM). In: Chassignet, E.P., Verron, J. (eds.) Ocean Weather Forecasting, pp. 413–426. Springer, Netherlands (2006). Scholar
  2. [Shriver 2007]
    Shriver, J.F., et al.: \(1/32^{\circ }\) real-time global ocean prediction and value-added over \(1/16^{\circ }\) resolution. J. Mar. Syst. 65(1), 3–26 (2007)CrossRefGoogle Scholar
  3. [Hodur 1997]
    Hodur, R.M.: The Naval Research Laboratory’s coupled ocean/atmosphere mesoscale prediction system (COAMPS). Monthly Weather Rev. 125(7), 1414–1430 (1997)CrossRefGoogle Scholar
  4. [Breiman 2007]
    Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2007)CrossRefGoogle Scholar
  5. [ 2017] Weather Data. Accessed 26 Dec 2016
  6. [JMA1 2017]
    Japan Meterological Agency: Result of accuracy verification of weather forecast.
  7. [Lobitz 2000]
    Lobitz, B., et al.: Climate and infectious disease: use of remote sensing for detection of Vibrio cholerae by indirect measurement. Proc. Nat. Acad. Sci. 97(4), 1438–1443 (2000)CrossRefGoogle Scholar
  8. [Cox 1995]
    Cox, C.: Some problems in optical oceanography. J. Mar. Res. 14, 63–78 (1955)Google Scholar
  9. [Hosoda 2011]
    Hosoda, K., Kawamura, H., Lan, K.-W, Shimada, T., Futoki, S.: Temporal scale of sea surface temperature fronts revealed by microwave observations. IEEE Geosci. Rem. Sens. 9 (2011)Google Scholar
  10. [FPO 2017]
    Tategami area pearl farming reconstruction project, NPO corporation fishery industry, fishing village activation promotion organization. 04/02/3027
  11. [Yamada 1980]
    Yamada, A.: World History of Pearls. ISBN 978-4-12-102229-5Google Scholar
  12. [LAW 2016]
    Act on promotion of pearl (Act No. 74 of June 7, 2016): Japan Law database.
  13. [MIE1 2017]
    Fishing season situation: Mie Prefectural Fisheries Research Institute.
  14. [MIE2 2017]
    Mie Prefecture pearl farming related fishing ground water temperature monitoring system: Mie Prefecture Pearl Farming Liaison Council.
  15. [JMA2 2017]
    Japan Meteorological Agency: Past weather data search.
  16. [Kumar 1981]
    Kumar, M., Monteith, J.L.: Remote sensing of crop growth. In: Smith, H. (ed.) Plants and the Daylight Spectrum, pp. 133–144. Academic Press, London (1981)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Nagoya Institute of TechnologyNagoyaJapan
  2. 2.Nichiyu Giken Kogyo Co. Ltd.TokyoJapan

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