Real-Time Water Quality Assessment via IoT: Monitoring pH, TDS, Temperature, and Turbidity

Water quality monitoring is crucial for detecting changes in aquatic resources. Traditional methods, which typically involve in-situ sample retrieval followed by laboratory assessments, have been perceived as laborious and time-consuming. Herein, a state-of-the-art, open-source framework is introduced, leveraging the potent synergy of the Internet of Things (IoT) and cloud computing for real-time water quality evaluations. Commercially accessible sensors were utilized for the instantaneous acquisition and interpretation of essential water quality parameters: pH, temperature, total dissolved solids (TDS), and turbidity. Accuracies of 98.54%, 96.85%, and 98.10% were obtained for temperature, pH, and TDS measurements, respectively, based on chosen accuracy metrics. The resilience of the proposed system was ascertained through a comprehensive study at the Troso River, Indonesia. During this evaluation, 4,833 data entries were amassed within a two-hour period. Outcomes from this research, elucidated in the subsequent sections, underscore the proficiency of the system in real-time water quality surveillance. This investigation augments the extant literature, underscoring the transformative role of cloud computing in facilitating instantaneous raw data collection for water quality assessment endeavors.