Development of Water Quality Monitoring Systems in Super Intensive Aquaculture System using ESP32 and Blynk

Abstract

: Best water quality is the most important medium to optimize fish growth in a super-intensive aquaculture system. Any changes in the parameter of water will affect fish growth and even will cause death. For this reason, parameters of water quality should be monitored in real-time and automatically send the data to the owner based on the internet of things (IoT). So that the owner will know all data in real-time and does not need to be located in the pond all day. The owner can simply look at the data on the smartphone. So working time becomes more efficient. In this study, we developed a water quality monitoring integrated, consist of (1) sensors: dissolved oxygen (DO) temperature, pH, and salinity; (2) ESP32 and ADS115 microcontrollers as controllers and ADCs; (3) display of parameter values based on IoT with the Blynk platform. This system can measure water conditions in real-time, display parameter values via a smartphone, and send notifications or alarms if there is a change in value, exceed the specified threshold. The test results show that this system can receive and send data to the Blynk application; alarm gives notification on the smartphone in the event of reading the parameter values exceed the specified threshold.