Innovative IoT Solutions for Monitoring Water Content in Peat Soil and Their Role in Fire Mitigation in Rimbo Panjang, Kampar, Riau

Authors

  • Juandi Muhammad Universitas Riau Author
  • Arifudin Arifudin Universitas Riau Author
  • Budijono Budijono Universitas Riau Author
  • Wan Muhammad Yunus Universitas Riau Author
  • Syahril Syahril Universitas Riau Author
  • Yusri Yusri Universitas Riau Author
  • Kemal Kemal Universitas Riau Author
  • Novita Rany Universitas Riau Author
  • Erzan Suah Universitas Riau Author

DOI:

https://doi.org/10.64125/5htx8b92

Keywords:

Soil Moisture , Peat , Fire Risk

Abstract

This research was conducted in Rimbo Panjang Village, Kampar Regency, Riau, to evaluate the water content of peat soil and its relationship with fire risk using Internet of Things (IoT) technology. By placing 15 observation points in areas with peat depths ranging from 0.5 to 1 meter, soil moisture data was collected in real-time using capacitive soil moisture sensors connected to an ESP32 microcontroller. The results showed that soil moisture levels varied between 15% and 35%, influenced by rainfall, temperature, and human activities. Analysis indicated a negative correlation between soil moisture and temperature, where increasing temperatures contributed to decreased soil moisture, elevating fire risk, especially during the dry season.The 2D and 3D water content models generated from this data provide crucial insights into the distribution of soil moisture and help identify high-risk areas. Moisture levels below 0.5 indicate an increased risk of fire, necessitating special attention in land management. This study also emphasizes the importance of local community involvement in monitoring soil moisture through educational programs to enhance awareness and collaboration in peatland ecosystem preservation efforts. With this data-driven approach, it is hoped that natural resource management in Rimbo Panjang Village can be conducted more sustainably and responsively to environmental changes

References

[1] Muhammad, J., & Risanto, J. (2023, November). Biomass-Based Dryer Technology Innovation in the Agrotechnology Industry with the Internet of Things System. In 4th Green Development International Conference (GDIC 2022) (pp. 972-978). Atlantis Press.

[2]. Bartsch, A., Balzter, H., & George, C. (2009). The influence of regional surface soil moisture anomalies on forest fires in Siberia observedfrom satellites. Environmental Research Letters, 4(4), 045021.

[3].Gravalos, I., Moshou, D., Loutridis, S., Gialamas, T., Kateris, D., Bompolas, E., ... & Fountas, S. (2013). 2D and 3D soil moisture imaging using a sensor-based platform moving inside a subsurface network of pipes. Journal of Hydrology, 499, 146-153.

[4] Zhang, Y., & Wegehenkel, M. (2006). Integration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration. Remote sensing of Environment, 104(4), 393-408.

[5] Ahmad, S., Khalid, N., & Mirzavand, R. (2022). Detection of soil moisture, humidity, and liquid level using CPW-based interdigital capacitive sensor. IEEE Sensors Journal, 22(11), 10338-10345.

[6] Lim, S. L., & Hamzah, S. A. (2023). Real Time Monitoring System for Peat Soil. Evolution in Electrical and Electronic Engineering, 4(2), 242-248.

[7] Brown, L. E., Holden, J., Palmer, S. M., Johnston, K., Ramchunder, S. J., & Grayson, R. (2015). Effects of fire on the hydrology, biogeochemistry, and ecology of peatland river systems. Freshwater Science, 34(4), 1406-1425.

[8] Rayhan, R. U., Islam, S. R., & Azad, A. J. (2025). Integrating Advanced Monitoring Technologies and Reliability Engineering for Proactive Wildfire Risk Management. Journal of Computer Science and Technology Studies, 7(2), 538-550.

Downloads

Published

2025-11-30

Issue

Section

Articles

Similar Articles

You may also start an advanced similarity search for this article.