Aug 2026· Turbo: Jurnal Program Studi Teknik Mesin· Vol 15, pp. 12-21· 0 citations· 17 references
TL;DR
This research uses ultrasonic sensors to measure water levels and send data in real-time through the Blynk platform and shows that this system has an average accuracy of 95.85%, with more accurate performance at higher water levels.
Abstract
The main problem in agricultural water management was the imbalance in water availability due to suboptimal irrigation systems. Efforts need to be made to develop a water level monitoring system that can monitor irrigation automatically and in real time. Therefore, research was conducted to test a water level monitoring system integrated with the Internet of Things (IoT). This research uses ultrasonic sensors to measure water levels and send data in real-time through the Blynk platform. This system was equipped with an ESP32 microcontroller and solar cells as a power source. Testing was conducted by comparing the results of ultrasonic sensor measurements with manual measurements. The test results showed that this system has an average accuracy of 95.85%, with more accurate performance at higher water levels.Â
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