Preprint Article Version 1 This version is not peer-reviewed

Seawater Temperature Prediction Method for Sustainable Marine Aquaculture

Version 1 : Received: 23 September 2017 / Approved: 23 September 2017 / Online: 23 September 2017 (11:31:13 CEST)

How to cite: Otsuka, T.; Kitazawa, Y..; Ito, T.. Seawater Temperature Prediction Method for Sustainable Marine Aquaculture. Preprints 2017, 2017090114 (doi: 10.20944/preprints201709.0114.v1). Otsuka, T.; Kitazawa, Y..; Ito, T.. Seawater Temperature Prediction Method for Sustainable Marine Aquaculture. Preprints 2017, 2017090114 (doi: 10.20944/preprints201709.0114.v1).

Abstract

Aquaculture is growing ever more important due to the decrease in natural marine resources and increase inworldwide demand. To avoid losses due to aging and abnormalweather, it is important to predict seawater temperature in order to maintain a more stable supply, particularly for high value added products, such as pearls and scallops. The increase in species extinction is a prominent societal issue. Furthermore, in order to maintain a stable quality of farmed fishery, water temperature should be measured daily and farming methods altered according to seasonal stresses. In this paper, we propose an algorithm to estimate seawater temperature in marine aquaculture by combining seawater temperature data and actual weather data.

Subject Areas

WSN; IoT; seawater temperature prediction; marine aquaculture support

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