This paper proposes an IoT-based water quality detection system tailored for sugar factories. Employing sensors and microcontrollers, it continuously monitors crucial parameters like pH, turbidity, and dissolved oxygen levels. Data is transmitted wirelessly to a central server for real-time analysis and alerts. This system enhances operational efficiency by enabling timely interventions to maintain water quality standards, ensuring optimal production processes.
No takes yet. Share an insight, caveat, or question.
Baskaran et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: