Water Quality Monitoring System for Fisheries using Internet of Things (IoT)

Abstract

Abstract Fish production has significant impacts on the investment and operating costs of the modernization of fish ponds. Water quality monitoring system may help to overcome all the problems by using the implementation of the internet of things (IoT) technology. The project aims in detecting the presence of fishes using an ultrasonic sensor and investigating the parameters of pH and temperature sensors. The system is used pH and temperature sensor as the factors affecting the quality of water and fish growth, the ultrasonic sensor for detecting the presence of fishes, Blynk application through a smartphone for notifications, NodeMCU ESP8266 as its central controller and wireless fidelity (WI-FI) as the communication technology. A sample of three different measurement times in the early morning, midday, and evening based on temperature, pH levels and the fish distance show that this farm has high-quality water. From the measurement at the field test, temperature value increase in the midday, pH level remains constant in the three different times and the fish distance underwater always changes as a fish needs to find oxygen and a portion of food. As a result, a farmer need not hire workers at their site, consequently, drive down operating costs and improve efficiency.