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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 31, Number 12(1) (2019)
Copyright(C) MYU K.K.
pp. 3987-3998
S&M2064 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2019.2366
Published: December 6, 2019

Vertical Recycling Aquatic System for Internet-of-Things-based Smart Fish Farm [PDF]

Amaranthvarma Angani, Jun Charn Lee, and Kyoo Jae Shin

(Received February 28, 2019; Accepted August 26, 2019)

Keywords: IoT-based smart fish farm, vertical recirculating aquatic system, automatic fluid flow control system, sensors, water quantity

This paper is about the design, analysis, and installation of an Internet of Things (IoT)-based smart fish farm with a water recycling system installed to prevent the wastage of water. Sensors play a key role in improving the water quality in a smart fish farm with an automatic controlling system. In this aquatic system, the water flow process is regulated by a proportional-integrator-derivative (PID) controller along with water-level ultrasonic, water temperature, dissolved oxygen (DO) concentration, and pH sensors. Sensor data are collected and stored in the lab server as big data. For automatic operation, these sensors send feedback to the PID controller to operate the fish farm within the specified range of operating conditions. To verify the performance of this designed system, field tests were conducted at the Future Creative Technology Research Institute of Busan University of Foreign Studies and at the Jangsucheon Ltd. farm on Ganghwa Island. This system was tested and successfully installed with good results.

Corresponding author: Amaranthvarma Angani and Kyoo Jae Shin


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Amaranthvarma Angani, Jun Charn Lee, and Kyoo Jae Shin, Vertical Recycling Aquatic System for Internet-of-Things-based Smart Fish Farm, Sens. Mater., Vol. 31, No. 12, 2019, p. 3987-3998.



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