Water Quality Control and Aquaculture Pond Feeding System with Internet of Things Technology

Abstract

This research explores a water quality control and feeding system for aquaculture ponds using Internet of Things technology. Aquaculture is a major economic activity in Thailand, but maintaining optimal water quality is crucial for the health and growth of aquatic animals. The system consists of three key components: sensors for monitoring water parameters (temperature, pH, turbidity, and dissolved oxygen), a NodeMCU ESP32 microcontroller for data processing, and a web application for user interaction. Water quality is regulated through automatic control of pumps that manage water exchange when parameters exceed safe thresholds, while an automated feeding system dispenses food based on user-set schedules or manual controls. Real-time data is displayed on the web application, which allows users to monitor sensor readings, control operations, and generate reports. The system supports both automatic and manual modes and includes features for user authentication, data logging, and export options. Performance evaluations demonstrated the system’s effectiveness in maintaining water quality and automating feeding processes, meeting the needs of aquaculture farmers efficiently.