Development of Internet of Things-Based System for Monitoring and Controlling the Water Quality in Small-Scale Aquaculture
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
MUST Journal of Research and Development
Abstract
Water quality is an essential factor for any successful aquaculture project. For
high productivity from aquaculture, critical water quality parameters such as
temperature, pH, dissolved oxygen, salinity, and turbidity must be kept in the
optimum range. Temperature is the second-most critical water quality parameter
after dissolved oxygen. Tropical fish prefer temperatures ranging from 250
c to
320
c. This study designed and implemented a system prototype for monitoring
and controlling water temperature in an aquaculture environment based on the
Internet of Things (IoT). The system comprises temperature sensors, a NodeMCU
Esp8266 Microcontroller, a 2-channel relay switch, a liquid-crystal display, a
cooling fan, a water heater, and a mobile application. The temperature sensor
immersed in a fish pond collects the pond's temperature. The collected
temperature data from fish ponds is sent to the microcontroller, a NodeMCU
Esp8266, for processing and transmission to the cloud server. The Blynk Cloud IoT
platform was used for data visualisation and controlling actuators. The system
users could access data through the Blynk Mobile application installed on a
smartphone. The system automatically switches ON the cooling fan to cool the
water when the temperature is above 32o
c and switches ON the water heater
when the temperature is below 25o
c. The system was tested both in the
laboratory and in field to evaluate the system's performance in detecting pond
temperature and data dissemination to the users. This study's findings have
proved the system's capability in data acquisition with accuracy and efficiency. In
addition, the results have shown that the system can effectively control pond
temperature.
Description
This research article published on MUST Journal of Research and Development (MJRD) Volume 2 Issue 2, December 2022
e ISSN 2683-6467 & p ISSN 2683-6475