Development and application of a low-cost IoT system for water quality monitoring and energy optimization in small-scale shrimp farms in Thailand | |
| Author | Porrawat Angsiri |
| Call Number | AIT Thesis no.WM-26-14 |
| Subject(s) | Internet of Things Shrimp culture--Technological innovations--Thailand Shrimp culture--Water quality--Thailand |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Water Engineering and Management |
| Publisher | Asian Institute of Technology |
| Abstract | Shrimp farming requires continuous aeration to maintain adequate dissolved oxygen (DO) levels for shrimp growth and survival. However, conventional aerator management often relies on farmer experience, resulting in excessive energy consumption and increased operating costs. This study developed and evaluated a low-cost Internet of Things (IoT)-based water quality monitoring system for small-scale shrimp farms. The system consisted of an Arduino UNO R4 WiFi microcontroller, dissolved oxygen and temperature sensors, cloud-based data storage, an online dashboard, and LINE notification services for real-time monitoring and decision support. Sensor validation showed satisfactory performance, with a mean absolute error (MAE) of 0.038 mg/L and a root mean square error (RMSE) of 0.040 mg/L compared with a commercial reference instrument. The developed platform successfully monitored and transmitted real-time water quality data throughout the cultivation period. Field data were subsequently used to evaluate optimized aerator management strategies during a 120-day shrimp production cycle. Two alternative aeration schedules were compared with conventional farm practices. The results showed that Strategy 1 reduced electricity consumption by 24.50%, while Strategy 2 achieved a reduction of 27.69%. These reductions corresponded to electricity cost savings of 40,345.80 THB and 45,585.51 THB per production cycle, respectively. Economic analysis indicated that the developed system, with a total implementation cost of 9,900 THB, achieved return on investment (ROI) values of 307.53% and 360.46%, with payback periods of less than one production cycle. The findings demonstrate that low-cost IoT technology can effectively support real-time water quality monitoring and improve aerator management efficiency, providing a practical and economically feasible solution for sustainable shrimp farming. |
| Year | 2026 |
| Type | Thesis |
| School | Faculty of Civil and Environmental Engineering (2026) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Water Engineering and Management (WEM) |
| Chairperson(s) | Shanmugam, Mohana Sundaram |
| Examination Committee(s) | Shrestha, Sangam;Natthachet Tangdamrongsub;Hassan, Nurul Husna |
| Scholarship Donor(s) | Royal Thai Government;AIT Scholarship |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2026 |
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