Diseño e implementación de un prototipo de piscinas para el cultivo de camarones utilizando una IoT para el monitoreo en tiempo real parámetros de operaciones

Abstract

This project develops an IoT-based prototype to monitor water quality in shrimp farming ponds in real time, controlling parameters such as pH, temperature, dissolved oxygen, turbidity, and conductivity. The proposal arises as an alternative to manual monitoring, which presents errors and lacks continuous control, affecting production and generating potential economic losses. The system uses an ESP32-C with sensors connected to Arduino Cloud and a local Python interface, enabling remote supervision and historical data recording. Tests demonstrated that it is a functional and scalable system, capable of issuing alerts and serving as a foundation for future improvements involving automation and artificial intelligence in aquaculture.