LoRa-Based Agricultural Sensor Data System on IoT

Authors

  • Sittichok Aunkaew Assistant Professor, Department of Computer Engineering, Faculty of Engineering, Rajamangala University of Technology Srivijaya, Songkhla 90000, Thailand https://orcid.org/0000-0002-3648-9819
  • Poramet Inprom Student, Department of Computer Engineering, Faculty of Engineering, Rajamangala University of Technology Srivijaya, Songkhla 90000, Thailand

DOI:

https://doi.org/10.14456/jcct.2025.7

Keywords:

LoRa, IoT, Smart Agriculture

Abstract

This article investigates the potential of Long Range (LoRa) technology for transmitting environmental data from agricultural sensor nodes—specifically temperature, relative humidity, light intensity, and soil moisture—to a LoRa gateway, which subsequently forwards the data to the IoT Thingsboard platform via an internet connection. The objective is to develop a foundational system for smart agriculture applications, particularly in rural or farmland areas with limited internet connectivity. The prototype system integrates multiple sensor types, including DHT22, light intensity sensors, rainfall sensors, and soil moisture sensors, with LoRa modules and an ESP-32 microcontroller. Field experiments demonstrated that the LoRa-based communication system operates reliably within a maximum range of 200 meters; beyond this distance, signal loss becomes evident. The DHT22 sensor exhibited an average deviation of 0.73°C in temperature and 7.47% in relative humidity. The light intensity sensor showed an average error of 2.90% compared to a reference instrument. Rainfall and soil moisture sensors produced values consistent with actual water levels and soil depth, respectively. The results suggest that the proposed prototype is feasible for real-world implementation in smart farming systems, particularly in areas with limited digital infrastructure. The system offers a low-cost, energy-efficient solution that can support autonomous environmental monitoring and contribute to sustainable agricultural development.

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Published

22-04-2025

How to Cite

Aunkaew, S., & Inprom, P. (2025). LoRa-Based Agricultural Sensor Data System on IoT. Journal of Computer and Creative Technology, 3(1), 74–89. https://doi.org/10.14456/jcct.2025.7