IMPLEMENTATION STUDY OF SOIL MOISTURE YL-69 FOR SENSOR-BASED SOIL MOISTURE MONITORING SYSTEM FOR IRRIGATION OPTIMIZATION

Teguh Saputra Sukiswanto, Bambang Panji Asmara

Abstract


Abstrak —Soil moisture is a critical parameter in plant growth and irrigation management. Conventional manual monitoring methods are constrained by their subjective nature and inability to provide real-time data. This study presents the design and implementation of an IoT-based soil moisture monitoring system using an ESP32 DEVKIT V1 microcontroller, an analog soil moisture sensor (YL-69/RX203), a 16x2 LCD I2C display, and the Blynk IoT platform. The system reads analog values from the sensor via the 12-bit ADC on GPIO 34, converts them into moisture percentages using a linear mapping function, and classifies soil conditions into three categories: Dry (< 30%), Moist (30-70%), and Wet (>= 70%). Measurement results are displayed locally on the LCD and transmitted to the Blynk dashboard every two seconds via a Wi-Fi connection. Functional testing demonstrates that the system successfully classifies and transmits real-time soil moisture data, confirming its feasibility as a decision-support tool for precision irrigation management.


Kata kunci: ESP32; soil moisture sensor; IoT monitoring; Blynk; precision irrigation; LCD I2C.

 


 



Keywords


ESP32; soil moisture sensor; IoT monitoring; Blynk; precision irrigation; YL-69; ADC; real-time monitoring; LCD I2C; Wi-Fi sensor

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References


W. Dorigo, A. Gruber, R. De Jeu, W. Wagner, R. Hohmann, and R. van der Schalie, “ESA CCI Soil Moisture for improved Earth system understanding: State-of-the-art and future directions,” Remote Sensing of Environment, vol. 203, pp. 185–215, 2017. [Online]. Available: https://www.research.vu.nl/en/publications/esa-cci-soil-moisture-for-improved-earth-system-understanding-sta/

H. Vereecken, J. A. Huisman, H. R. Bogena, J. Vanderborght, J. A. Vrugt, and J. W. Hopmans, “Modeling soil processes: Review, key challenges, and new perspectives,” Vadose Zone Journal, vol. 15, no. 5, pp. 1–57, 2016. doi: 10.2136/vzj2015.09.0131

D. Molden, Ed., Water for Food, Water for Life: A Comprehensive Assessment of Water Management in Agriculture. London, U.K.: Earthscan, 2007.

A. Tzounis, N. Katsoulas, T. Bartzanas, and C. Kittas, “Internet of Things in agriculture, recent advances and future challenges,” Biosystems Engineering, vol. 164, pp. 31–48, 2017. [Online]. Available: https://ir.lib.uth.gr/xmlui/handle/11615/80296

G. C. Topp and W. D. Reynolds, “Time domain reflectometry: A seminal technique for measuring volumetric soil water content,” Soil and Tillage Research, vol. 47, nos. 1–2, pp. 125–132, 1998.

M. S. Farooq, et al., “Role of IoT Technology in Agriculture: A Systematic Literature Review,” Electronics, vol. 9, no. 2, Art. no. 319, 2020.

W. K. Kartika, et al., “Aplikasi sensor soil moisture YL-69 dan sensor ultrasonic HC-SR07 pada smart irrigation,” AgroTechno, 2021. [Online]. Available: https://ejournal1.unud.ac.id/index.php/agrotechno/article/view/3721

I. A. Azam, H. Pujiharsono, and S. Indriyanto, “Sistem irigasi tetes menggunakan sensor kelembapan tanah YL-69 berbasis Internet of Things (IoT),” Jurnal Teknologi, 2023. doi: 10.53810/jt.v24i1.477

“System monitoring Soil pH moisture based IoT,” 2025. [Online]. Available: https://jurnal.itscience.org/index.php/brilliance/article/download/5974/4497

“Design of an IoT-based smart irrigation system using YL-69 soil moisture sensor,” 2025. [Online]. Available: https://online-journal.unja.ac.id/jop/article/view/48928

“Implementasi sistem irigasi otomatis berbasis IoT untuk pertanian greenhouse,” 2025. doi: 10.52436/1.jpti.656

“Pengembangan sistem irigasi otomatis di greenhouse berbasis Internet of Things,” 2025. doi: 10.47701/e6kq3093

Blynk Inc., “Blynk documentation: Getting started with ESP32,” 2024. [Online]. Available: https://docs.blynk.io/en/getting-started/

Espressif Systems, “ESP32 technical reference manual v5.7,” 2025. [Online]. Available: https://www.espressif.com/sites/default/files/documentation/esp32_technical_reference_manual_en.pdf

Espressif Systems, “Arduino-ESP32 ADC API documentation.” [Online]. Available: https://docs.espressif.com/projects/arduino-esp32/en/latest/api/adc.html


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