Abstract
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.
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The part of this research was supported by collaborative with Nichiyu Giken Kogyo Co., Ltd.
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Otsuka, T., Kitazawa, Y., Ito, T. (2018). Multiple Water-Level Seawater Temperature Prediction Method for Marine Aquaculture. In: Mouhoub, M., Sadaoui, S., Ait Mohamed, O., Ali, M. (eds) Recent Trends and Future Technology in Applied Intelligence. IEA/AIE 2018. Lecture Notes in Computer Science(), vol 10868. Springer, Cham. https://doi.org/10.1007/978-3-319-92058-0_35
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DOI: https://doi.org/10.1007/978-3-319-92058-0_35
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