The IoT revolution in aquaculture: Technological advances in automated feeding and water quality monitoring in shrimp ponds

Abstract

This study focuses on implementing an automated feeding system based on IoT technology in the shrimp farming sector in Ecuador. pH, temperature, turbidity, and salinity sensors are employed for continuous monitoring of water conditions, variables critical for the survival and development of shrimp. The ESP32 board is responsible for collecting, and processing data from these sensors, and transmitting them to IoT platforms such as Arduino Cloud and ThingSpeak for monitoring and control. The internal real-time clock of the ESP32 enables the programmed automatic operation of the feeder, facilitating precise and timely feeding adjustments. The results, validated at the Camachasa farm, have demonstrated the efficiency of the proposal, thereby solidifying IoT technology as an effective solution for the challenges faced by the Ecuadorian shrimp farming sector.