Abstract
Fisheries researchers who predict the occurrence of red tides want to be able to visualize the seawater temperature information measured using the marine buoy in a form that can be handled easily for researchers in order to improve the prediction accuracy. In this research, we develop a system to visualize measured seawater temperature information. In the system, it is possible to display latest seawater temperature information and time change of seawater temperature in the form of tables and graphs by using a web application. In addition, it is possible to download the sea water temperature information collected in the past into the csv format file. With this system, researchers can predict the occurrence of red tide at an early stage because seawater temperature information becomes easier to handle.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReference
Fisheries Agency Seto Inland Sea Fisheries Adjustment Office: The red tide of the Seto Inland Sea in Heisei 27(Heisei 27 nendo Seto-naikai no akashio), pp. 1 (2015)
Acknowledgements
I would like to thank Mr. Hidetaka Takeoka of South Ehime Fisheries Research Center and Mr. Akihiko Takechi of Ehime Research Institute of Agriculture, Forestry and Fisheries for their cooperation in this research.
This work was partially supported by Strategic Information and Communications R&D Promotion Programme (SCOPE) (152309003), the Ministry of Internal Affairs and Communications, Japan.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Agusa, Y., Fujihashi, T., Endo, K., Kuroda, H., Kobayashi, S. (2018). Development of Seawater Temperature Announcement System for Quick and Accurate Red Tide Estimation. In: Sieminski, A., Kozierkiewicz, A., Nunez, M., Ha, Q. (eds) Modern Approaches for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-76081-0_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-76081-0_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-76080-3
Online ISBN: 978-3-319-76081-0
eBook Packages: EngineeringEngineering (R0)