Design and Simulation of an IoT-Based Water Quality Monitoring System for Aquaculture Applications
Keywords:
Internet of Things (IoT), Water Quality, Python Simulation, Smart Aquaculture, MQTT.Abstract
This research focuses on the design and simulation of an Internet of Things (IoT)-based system for monitoring water quality in aquaculture environments. The proposed system integrates pH and temperature sensors with a microcontroller model to acquire environmental data in real time. The collected data are transmitted to a cloud platform using the MQTT protocol, enabling continuous monitoring and visualization through a web-based dashboard. The simulation was conducted using Python and MQTT-based virtual environments to evaluate data accuracy, communication reliability, and system performance. The results show that the proposed IoT architecture effectively monitors water quality parameters and provides timely information to support decision-making in fish farming management. This study contributes to the development of a reliable and low-cost IoT framework for smart aquaculture applications.
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