Development of an IoT-Based Real-Time Monitoring System for Light Intensity, Temperature, and Humidity in Dragon Fruit Farms

Authors

  • Anh-Trung Tran

    Institute of Interdisciplinary Sciences (IIS), Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam
  • Thai Hoang Nguyen

    Institute of Oceanography—Vietnam Academy of Science and Technology, Ha Noi City 100000, Vietnam
  • HungThanh Truong

    Institute of Interdisciplinary Sciences (IIS), Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam
  • Nghia Quang Pham

    Institute of Interdisciplinary Sciences (IIS), Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam
  • TuanThanh Ho

    Institute of Engineering and Technology, Thu Dau Mot University, Ho Chi Minh City 700000, Vietnam

    Institute of Oceanography—Vietnam Academy of Science and Technology, Ha Noi City 100000, Vietnam

DOI:

https://doi.org/10.30564/jeis.v8i1.12853
Received: 11 November 2025 | Revised: 29 December 2025 | Accepted: 6 January 2026 | Published Online: 13 January 2026

Abstract

The rapid advancement of smart agriculture under the Industry 4.0 paradigm has accelerated the integration of digital and IoT technologies into modern farming systems, aiming to enhance productivity, optimize resource utilization, and promote environmental sustainability. Meanwhile, dragon fruit is a major export fruit of Vietnam, grown mostly in Binh Thuan, Long An, and Tien Giang provinces. Following the above trend, this study presents the design and implementation of an Internet of Things (IoT)-based climate monitoring system that allows real-time observation and recording of light intensity, temperature, and humidity parameters at dragon fruit farms. The system integrates an ESP32 microcontroller, a DFRobot SEN0390 light sensor, and a digital temperature and humidity sensor SHT30. Data is transmitted via Wi-Fi to a cloud platform for real-time display, IoT MQTT (Message Queuing Telemetry Transport) Panel application, web interface and automatically stored in Google Sheets for long-term analysis. A key improvement of this study lies in the integration of wide-range light sensors compared to previous greenhouse IoT system studies. Experimental validation demonstrates stable system performance, with average data latency under two seconds and high measurement accuracy, confirming the reliability and scalability. The system provides an agricultural environmental monitoring solution for farmers, setting a basis for big data analytics and future automation in Vietnam.

Keywords:

IoT; Smart Agriculture; Environmental Monitoring; ESP32; Dragon Fruit; MQTT

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How to Cite

Tran, A.-T., Nguyen, T. H., Truong, H., Pham, N. Q., & Ho, T. (2026). Development of an IoT-Based Real-Time Monitoring System for Light Intensity, Temperature, and Humidity in Dragon Fruit Farms. Journal of Electronic & Information Systems, 8(1), 15–29. https://doi.org/10.30564/jeis.v8i1.12853

Issue

Vol. 8 , Iss. 1 (April 2026): In Progress

Article Type

ARTICLE

License

Copyright © 2026 Anh-Trung Tran, Thai Hoang Nguyen, HungThanh Truong, Nghia Quang Pham, TuanThanh Ho

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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