A mobile IoT-based fully automated aquaponic system for integrated fish and strawberry production
Abstract
In this study, a fully automated Internet of Things (IoT)-based mobile aquaponic system integrating guppy fish and strawberry plants was designed and experimentally evaluated. The system was implemented using a compact deep water culture structure and controlled by an ESP32 WROOM-32D microcontroller. Key environmental parameters, including pH, water temperature, water level, lighting, and feeding, were continuously monitored and regulated through the BLYNK cloud platform, enabling real-time supervision and remote access. Automated threshold-based control rules maintained suitable growth conditions without continuous human intervention. A 28-day experimental study compared the proposed system with hydroponic plant cultivation and traditional water culture fish production used as control groups. Relative to their respective controls, strawberry plants grown in the automated aquaponic system exhibited a %13.83 increase in mean height, compared with %8.93 in the hydroponic system. Guppy fish achieved a %100 survival rate and demonstrated an %18.92 relative increase in mean length compared to the traditional water culture group. Statistical analysis using an independent one-tailed t-test confirmed that the observed differences were significant at the %95 confidence level. These results demonstrate that integrating mobility with fully automated IoT-based control improves environmental stability and biological performance, offering a practical solution for small-scale and urban food production.
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URN: https://sloi.org/urn:sl:tjoee103377
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