Real-time Water Quality Monitoring and Notification System for Aquaculture

Fish Farming has been transforming through various technological revolutions in recent years, the Internet of Things (IoT) provides very significant technological innovations on farming by creating a new paradigm. This paper presents a water quality monitoring system with automatic correction four types of water quality parameters. The parameters are including temperature, potential hydrogen (pH) level, turbidity, and dissolved oxygen. The system uses sensors, micro controllers, and a mobile application for acquiring and monitoring data. The notification will be sent to user when those parameters are above or below the standard values. The Arduino Nano is used as controller unit to read the analog values from the sensors. Serverless IoTs is created using Firebase Realtime Database (RTDB) and ESP8266. The experiment has been conducted at Faculty of Fisheries Technology and Aquatic Resources, Maejo University.