How to Predict Seawater Temperature for Sustainable Marine Aquaculture (Student Abstract)

Authors

  • Masahito Okuno Nagoya Institute of Technology
  • Takanobu Otsuka Nagoya Institute of Technology

DOI:

https://doi.org/10.1609/aaai.v34i10.7216

Abstract

The increasing global demand for marine products has turned attention to marine aquaculture. In marine aquaculture, appropriate environment control is important for a stable supply. The influence of seawater temperature on this environment is significant and accurate prediction is therefore required. In this paper, we propose and describe the implementation of a seawater prediction method using data acquired from real aquaculture areas and neural networks. Our evaluation experiment showed that hourly next-day prediction has an average error of about 0.2 to 0.4 C and daily prediction of up to one week has an average error of about 0.2 to 0.5 C. This is enough to meet actual worker need, which is within 1 C error, thus confirming that our seawater prediction method is suitable for actual sites.

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Published

2020-04-03

How to Cite

Okuno, M., & Otsuka, T. (2020). How to Predict Seawater Temperature for Sustainable Marine Aquaculture (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13887-13888. https://doi.org/10.1609/aaai.v34i10.7216

Issue

Section

Student Abstract Track