Automated Greenhouse Climate Control Using DHT11 Sensor for Small Scale Plant Growth

Authors

Hania R. Ali

24 Kindful St. Sitio Veterans Brgy Bagong Silangan Quezon City (Philippines)

Jhenycis Matthew L. Buenafe

24 Kindful St. Sitio Veterans Brgy Bagong Silangan Quezon City (Philippines)

Carlo B. Cortezano

24 Kindful St. Sitio Veterans Brgy Bagong Silangan Quezon City (Philippines)

Joshua Miguel F. Gannaban

24 Kindful St. Sitio Veterans Brgy Bagong Silangan Quezon City (Philippines)

Meshelle N. Fabro

24 Kindful St. Sitio Veterans Brgy Bagong Silangan Quezon City (Philippines)

Article Information

DOI: 10.47772/IJRISS.2026.10100174

Subject Category: Social science

Volume/Issue: 10/1 | Page No: 2221-2236

Publication Timeline

Submitted: 2026-01-12

Accepted: 2026-01-15

Published: 2026-01-29

Abstract

This study presents the design, development, and evaluation of an automated greenhouse climate control system using a DHT11 temperature and humidity sensor integrated with an ESP32 microcontroller. The system addresses the limitations of manual environmental monitoring in small-scale greenhouse applications by providing continuous, real-time sensing and automated regulation of critical environmental parameters. Temperature and humidity significantly influence plant growth, and unstabl vbce conditions may result in plant stress, reduced growth efficiency, and lower yields.

Keywords

Automated greenhouse, climate control system, DHT11 sensor, ESP32 microcontroller

Downloads

References

1. British Geological Survey. (2023, April 5). The greenhouse effect. British Geological Survey. [Google Scholar] [Crossref]

2. https://www.bgs.ac.uk/discovering-geology/climate-change/how-does-the-greenhouse-effect-work/ [Google Scholar] [Crossref]

3. Duobiene, S., Ratautas, K., Trusovas, R., Ragulis, P., Šlekas, G., Simniškis, R., & Račiukaitis, G. (2022). Development of wireless sensor network for environment monitoring and its implementation using SSAIL technology. Sensors, 22(14), 5343. [Google Scholar] [Crossref]

4. https://doi.org/10.3390/s22145343 [Google Scholar] [Crossref]

5. Fabro, B. C., Caoile, A. D., & Gatdula, M. M. V. (2025). Smart water dispenser: A safety system for preventing motor dry-run in water dispensing applications. International Journal of Research and Innovation in Social Science, 9(11), 3827–3838. [Google Scholar] [Crossref]

6. https://doi.org/10.47772/ijriss.2025.91100298 [Google Scholar] [Crossref]

7. Haller, M. (2024). DHT11 sensor: A comprehensive study on temperature and humidity sensor. International Journal of Scientific Research in Engineering and Management. [Google Scholar] [Crossref]

8. https://doi.org/10.55041/ijsrem29310 [Google Scholar] [Crossref]

9. Heryanto, I., Kusuma, S. A., & Hidayat, M. N. (2025). Sistem otomasi suhu dan kelembaban pada greenhouse berbasis sensor DHT22 dan mikrokontroler. Elprosys: Jurnal Sistem Kelistrikan, 12(2). [Google Scholar] [Crossref]

10. https://doi.org/10.33795/elposys.v12i2.7521 [Google Scholar] [Crossref]

11. Jamaluddin, T. A. A., Nur, F. S., Tahir, S. M., Achmad, A. D., & Reskyanto, A. (2025). Temperature and humidity control in a small-scale greenhouse in a tropical climate. Salaga, 6–10. [Google Scholar] [Crossref]

12. https://doi.org/10.70124/salaga.v3i1.1815 [Google Scholar] [Crossref]

13. Mas, F., Suciyati, S., Pauzi, G., & Junaidi, J. (2022). Smart greenhouse monitoring with soil temperature and humidity control on Internet of Things (IoT) based orchid plants. Journal of Energy, Material, and Instrumentation Technology. [Google Scholar] [Crossref]

14. https://doi.org/10.23960/jemit.v3i3.111 [Google Scholar] [Crossref]

15. Nassar, J. M., Khan, S. M., Villalva, D. R., Nour, M. M., Almuslem, A. S., & Hussain, M. M. (2018). Compliant plant wearables for localized microclimate and plant growth monitoring. NPJ Flexible Electronics, 2(1). [Google Scholar] [Crossref]

16. https://doi.org/10.1038/s41528-018-0039-8 [Google Scholar] [Crossref]

17. Tembhurne, V., Bhatkar, M., & Ikhe, Y. (2022). Automatic greenhouse environment monitoring and controlling system. International Journal of Research in Engineering, Science and Management, 5(12). [Google Scholar] [Crossref]

18. https://journal.ijresm.com/index.php/ijresm/article/view/2472 [Google Scholar] [Crossref]

19. Widiono, S., & Tu, I. (2023). Fuzzy logic implementation in Internet of Things technology for fogging greenhouse plants. International Journal of Engineering Technology and Natural Sciences. [Google Scholar] [Crossref]

20. https://doi.org/10.46923/ijets.v5i1.205 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles