Automated Aeration Management System for Fishponds Using ESP32 and Dissolved Oxygen Threshold Logic with Real-Time Data Analytics
DOI:
https://doi.org/10.69569/jip.2026.248Keywords:
Aquaculture, Automated aeration, Dissolved oxygen monitoring, Energy efficiency, IoTAbstract
Field testing was conducted over a continuous 30-day period in a functional fishpond located in Malalag, Davao del Sur. The study aimed to develop and validate AquaMate, an IoT-based automated aeration management system using ESP32 microcontrollers, dissolved oxygen threshold logic, and real-time data analytics. System performance was evaluated using descriptive statistics, return on investment (ROI) analysis, and a paired t-test comparing dissolved oxygen (DO) measurements between automated and conventional aeration conditions. Results showed that AquaMate maintained more stable DO levels and prevented hypoxic events during critical pre-dawn periods. The system reduced aerator runtime by approximately 45%, resulting in lower energy consumption and operating costs. ROI analysis indicated that the initial investment could be recovered within approximately five months. The paired t-test revealed statistically significant differences in DO stability between automated and conventional management (p < .001). The findings demonstrate that AquaMate supports efficient dissolved oxygen management and contributes to sustainable aquaculture practices through automated monitoring and aeration control.
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