Application of the Internet of Things technology (IoT) in Designing an Automatic Water Quality Monitoring System for Aquaculture Ponds

Date Received: Apr 12, 2020

Date Published: Nov 27, 2020

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ENGINEERING AND TECHNOLOGY

How to Cite:

Huy, N., Giang, V., Quan, L., & Cuong, H. (2020). Application of the Internet of Things technology (IoT) in Designing an Automatic Water Quality Monitoring System for Aquaculture Ponds. Vietnam Journal of Agricultural Sciences, 3(2), 624–635. https://doi.org/10.31817/vjas.2020.3.2.06

Application of the Internet of Things technology (IoT) in Designing an Automatic Water Quality Monitoring System for Aquaculture Ponds

Nguyen Quang Huy (*) 1 , Vu Thi Thu Giang 2 , Le Vu Quan 1   , Ho Vo The Cuong 1

  • Corresponding author: nqhuy@vnua.edu.vn
  • 1 Faculty of Engineering, Vietnam National University of Agriculture, Hanoi 131000, Vietnam
  • 2 Faculty of Information Technology, Vietnam National University of Agriculture, Hanoi 131000, Vietnam
  • Keywords

    IoT, Arduino Nano Micro, Raspberry

    Abstract


    The current aims to apply the Internet of Things technology (IoT) in designing an automatic system for measuring and monitoring important parameters of aquaculture ponds such as temperature, pH, and dissolved oxygen (DO). The system includes the Arduino Nano main microcontroller (the device that transmits and pushes data to the Raspberry Pi 3 Web server), the DS18B20 temperature sensor module, the pH sensor module V1.1, and the DO Sensor SKU SEN0237. The system is capable of continuously measuring the above parameters of aquaculture ponds. The measurement results are stored and transmitted wirelessly to smart devices such as computers and mobile phones. Farmers can continuously monitor water quality parameters of aquaculture ponds (pH, DO, temperature) through these smart devices. In addition, a warning message will be sent to the farmer's phone when the DO index of the aquaculture pond falls below the prescribed level. The results of the test evaluation also show the high accuracy of the system when compared with the sample measuring device. All  relative errors are satisfied less than the limit value of 5%.