Water Quality Monitoring and Alert System for Fish Farms using IoT and SMS Integration

Abstract-This project proposes a water quality monitoring and alert system for fish farms using IoT (Internet of Things) and SMS (Short Message Service) integration. The system aims to ensure optimal conditions for fish growth and health by continuously monitoring important water parameters. IoT devices equipped with water quality sensors are deployed throughout the fish farm to collect real-time data on temperature, pH level, humidity and water level. The collected data is transmitted to a cloud-based platform via an IoT network for processing and analysis. If any parameter exceeds the acceptable limits, the system triggers SMS alerts to fish farm operators, providing timely notifications of potential water quality issues. Additionally, the system offers SMS-based remote control capabilities to enable immediate corrective actions. By combining IoT and SMS technologies, this system enhances the efficiency and effectiveness of fish farm management, enabling proactive responses to maintain optimal water quality and promote healthy fish growth. Keywords—aquaculture; wireless transmission; life expectancy; Internet of Things; robotic arm