This research focuses on the development of an automated water discharge measurement instrument aimed at improving the sustainability of aquifer water management. Traditional methods for measuring water discharge are typically manual, labor-intensive, time-consuming, and susceptible to human error, making them inefficient and costly for large-scale or long-term applications. To address these limitations, an advanced system was designed using ultrasonic sensors integrated with a microcontroller-based data acquisition and processing unit. The system is capable of accurately measuring both water level and flow rate in real-time. Extensive testing and calibration were conducted under varying conditions to evaluate the performance of the device. Results demonstrated a high degree of accuracy, with an average error margin of less than 5%. The automated instrument significantly reduces the need for manual labor and associated operational costs, while enhancing the reliability and consistency of the measurements. Its compact design and adaptability make it suitable for a wide range of water management scenarios, including remote or resource-constrained environments. The system also supports data logging, which enables continuous monitoring and historical data analysis for informed decision-making. This innovation offers a scalable and sustainable solution for efficient water resource management. Its successful implementation can help optimize water usage, prevent resource depletion, and support long-term environmental conservation efforts. Future enhancements may include integration with Internet of Things (IoT) platforms to enable remote access, predictive analytics, and automated alerts. Such developments can further increase the instrument’s impact in advancing smart water management systems for sustainable development.
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Design and development of automatic tube well discharge measuring instrument for sustainable water aquifer management
Published:
20 October 2025
by MDPI
in The 3rd International Online Conference on Agriculture
session Smart Farming: From Sensor to Artificial Intelligence
Abstract:
Keywords: Water discharge measurement, Ultrasonic sensors, Microcontroller, Smart farming, Sustainable water management
