An IoT-based Water Salinity Monitoring and Time-Dependent Automatic Feeding System for Mud Crab Aquaculture

This study presents an IoT-based water quality monitoring and automatic feeding system for indoor mud crab aquaculture. The system integrates an ESP8266 micro controller with dedicated sensors to continuously measure pH, salinity, temperature, and water levels while implementing an automated feeding mechanism. The accuracy and reliability of the system were improved through sensor calibration techniques and proactive measures, such as sensor drift mitigation and keeping spare sensors for replacements. The results show improved crab growth rates, reduced crab mortality, and reduced manual labor due to the system's implementation. In addition, the study shows that IoT-based aquaculture improves the sustainability and efficiency of an indoor crab farm.