An IoT-Based System for Water Quality Monitoring and Notification System of Aquaculture Prawn Pond

Abstract

The quality of pond water greatly affects the main factor of prawn survival and its aquaculture productivity. The checking process of the prawn pond water quality is generally very simple and is done manually by the cultivator. Thus, it is necessary to have a system that can assist the cultivator in monitoring the condition of the ponds at all times with accurate data. This work aims to develop an IoT-based system that not only monitors the quality of water in a prawn pond but also warns the users when the quality of the water pond is not in great condition. This system is constructed using several main components, namely the pH sensor, the salinity sensor, the ultrasonic sensor for reading the water level of the pond, and the microcontroller ESP32 to process all input data. The parameters read by the sensors are stored in cloud firebase to be forwarded and displayed on the Android application which is built in the flutter framework. The findings show that the components used in this experiment are feasible and run adequately, with 3.15% error for the water pH sensor, 0.8% error for the salinity sensor, and 0.63% for the ultrasonic sensor. The evaluation results showed that the system can proficiently monitor the water condition, as well as send a notification to the user when the parameter values are not in a normal range.