Multisensor monitoring system for detecting changes in weather conditions and air quality in agricultural environments

Authors

  • Dwi Ramadhani Politeknik Negeri Sriwijaya, Indonesia
    ID Indonesia
  • Ahmad Taqwa Politeknik Negeri Sriwijaya, Indonesia
    ID Indonesia
  • Ade Silvia Handayani Politeknik Negeri Sriwijaya, Indonesia
    ID Indonesia
  • Wahyu Caesarendra Curtin University, Malaysia
    MY Malaysia
  • Nyayu Latifah Husni Politeknik Negeri Sriwijaya, Indonesia
    ID Indonesia
  • Carlos R Sitompul Politeknik Negeri Sriwijaya, Indonesia
    ID Indonesia

DOI:

https://doi.org/10.62672/joease.v3i2.103

Keywords:

Air quality, Environmental monitoring, Internet of Things, Multisensor, Weather

Abstract

The increasing impact of climate change and the need for precision agriculture demand reliable environmental monitoring solutions.This study aims to develop a real-time, multisensor-based environmental monitoring system that displays data via an I2C LCD and a user-friendly web interface. The system utilizes an ESP32 microcontroller connected to a range of sensors, including the DHT22 (for temperature and humidity), MQ-7 and MQ-135 (for CO and COâ‚‚), LDR (for light intensity), a rain sensor, and an anemometer (for wind speed). Testing was conducted over eight hours under various environmental conditions, both indoors and outdoors. Validation was performed by comparing the sensor readings with those from standard measuring instruments. The results showed that the DHT22 sensor had a low error rate of 0.62% for temperature and 0.38% for humidity. Other sensors demonstrated low standard deviation values, indicating stable and consistent measurements. The system also exhibited responsive and accurate performance in detecting changes in environmental parameters. Therefore, this system is effective as an environmental monitoring tool for agricultural applications and can support early decision-making based on environmental condition changes.

References

Alahmad, T., Neményi, M., & Nyéki, A. (2023). Applying IoT Sensors and Big Data to Improve Precision Crop Production: A Review. Agronomy, 13(10). https://doi.org/10.3390/agronomy13102603

Azemi, S. N., Loon, K. W., Amir, A., & Kamalrudin, M. (2021). An IoT-Based Alarm Air Quality Monitoring System. Journal of Physics: Conference Series, 1755(1). https://doi.org/10.1088/1742-6596/1755/1/012035

BMKG. (2023). Laporan Perubahan Iklim Indonesia 2023. Badan Meteorologi, Klimatologi, Dan Geofisika.

FAO. (2021). The State of Food and Agriculture 2021. Food and Agriculture Organization.

Hassan, M. N., Islam, M. R., Faisal, F., Semantha, F. H., Siddique, A. H., & Hasan, M. (2020). An IoT based environment monitoring system. Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020, 1119–1124. https://doi.org/10.1109/ICISS49785.2020.9316050

Kishorebabu, V., & Sravanthi, R. (2020). Real Time Monitoring of Environmental Parameters Using IOT. Wireless Personal Communications, 112(2), 785–808. https://doi.org/10.1007/s11277-020-07074-y

Kurniadi, A., Weller, E., Salmond, J., & Aldrian, E. (2024). Future projections of extreme rainfall events in Indonesia. International Journal of Climatology, 44(1), 160–182. https://doi.org/10.1002/joc.8321

Megantoro, P., Aldhama, S. A., Prihandana, G. S., & Vigneshwaran, P. (2021). IoT-based weather station with air quality measurement using ESP32 for environmental aerial condition study. Telkomnika (Telecommunication Computing Electronics and Control), 19(4), 1316–1325. https://doi.org/10.12928/TELKOMNIKA.v19i4.18990

Nor Diana, M. I., Zulkepli, N. A., Siwar, C., & Zainol, M. R. (2022). Farmers’ Adaptation Strategies to Climate Change in Southeast Asia: A Systematic Literature Review. Sustainability (Switzerland), 14(6). https://doi.org/10.3390/su14063639

Patil, B. D., Gupta, S., Sheikh, A. I., Lalitha, S. S. K. D. P., & Raj, K. D. G. B. (2023). IoT and Big Data Integration for Real-Time Agricultural Monitoring. Journal of Advanced Zoology, 44, 3079-3089.

Pérez-Padillo, J., Ikegawa, M., Lucena, J. P., Montesinos, P., & Morillo, J. G. (2022). Design and implementation of an IoT device for measuring discharges in sanitation networks. Environmental Sciences Proceedings, 21(1), 38. https://doi.org/10.3390/environsciproc2022021038

Rajani, P. K., Deshpande, G., Goswami, M., Kolhe, J., Khandagale, V., Mujumdar, M., & Singh, B. B. (2023). IoT-Based Low-Cost Soil Moisture and Soil Temperature Monitoring System. SSRG International Journal of Electrical and Electronics Engineering, 10(10), 66–74. https://doi.org/10.14445/23488379/IJEEE-V10I10P108

Rozaki, Z. (2021). Food security challenges and opportunities in Indonesia post COVID-19. Advances in food security and sustainability, 6, 119-168. https://doi.org/10.1016/bs.af2s.2021.07.002

Seetaram, J., Bhavya, A., Tarun, C., & Sameera, V. (2024). Internet of Things (IoT) Based Greenhouse Monitoring and Controlling System Using ESP-32. Ijarcce, 13(6), 29–35. https://doi.org/10.17148/ijarcce.2024.13605

Shahadat, A. S., Ayon, S. I., & Khatun, M. R. (2020). Efficient IoT based Weather Station. Proceedings of 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering, WIECON-ECE 2020, 227–230. https://doi.org/10.1109/WIECON-ECE52138.2020.9398041

Sharma, B. P., Peelam, M. S., Gupta, A., Shekhar, C., & Chamola, V. (2025). A Comprehensive Survey on Data Converters for IoT Applications: Scope, Issues, and Future Directions. IEEE Internet of Things Journal, 12(12), 18993–19017. https://doi.org/10.1109/JIOT.2025.3553153

Sharma, P., & Prakash, S. (2021). Real time weather monitoring system using IoT. In ITM web of conferences (Vol. 40, p. 01006). EDP Sciences. https://doi.org/10.1051/itmconf/20214001006

Singh, T., & Asim, M. (2021). Weather monitoring system using IoT. In Innovations in Cyber Physical Systems: Select Proceedings of ICICPS 2020 (pp. 247-253). Springer Singapore.

Szczurek, A., Gonstał, D., & Maciejewska, M. (2024). A Multisensor Device Intended as an IoT Element for Indoor Environment Monitoring. Sensors, 24(5). https://doi.org/10.3390/s24051461

Tawfeek, M. A., Alanazi, S., & El-Aziz, A. A. A. (2022). Smart Greenhouse Based on ANN and IOT. Processes, 10(11), 1–17. https://doi.org/10.3390/pr10112402

Tomar, V & Saroha, N. (2024). IoT-Enabled Smart Greenhouse: Real-Time Monitoring and Automated Control for Efficient Agriculture. International Journal of Research and Review in Applied Science, Humanities, and Technology, 1(1), 24–31. https://doi.org/10.71143/48257x69

Vidhyavani, A., Guruprasad, S., Praveen Keshav, M. K., Pranay Keremore, B., & Koushik Gupta, A. (2020). IoT Based Environment Monitoring System. New Trends in Computational Vision and Bio-inspired Computing: Selected works presented at the ICCVBIC 2018, Coimbatore, India, 417-422.

Wang, C., & Gong, J. (2024). Intelligent agricultural greenhouse control system based on internet of things and machine learning. arXiv preprint arXiv:2402.09488.

Wardani, I. K., Ichniarsyah, A. N., Telaumbanua, M., Priyonggo, B., Fil’Aini, R., Mufidah, Z., & Dewangga, D. A. (2023). The feasibility study: Accuracy and precision of DHT 22 in measuring the temperature and humidity in the greenhouse. IOP Conference Series: Earth and Environmental Science, 1230(1). https://doi.org/10.1088/1755-1315/1230/1/012146

WHO. (2022). Air Pollution and Health Report 2022. World Health Organization.

Wilberforce, N., & Mwebaze, J. (2025). A framework for IoT-Enabled Smart Agriculture. arXiv preprint arXiv:2501.17875.

Xu, J., Gu, B., & Tian, G. (2022). Review of agricultural IoT technology. Artificial Intelligence in Agriculture, 6, 10–22. https://doi.org/10.1016/j.aiia.2022.01.001

Zafeiriou, S. (2024). ESP32 DHT22 Sensor Setup: A Complete 2024 Guide for Beginners and Experts. https://stevezafeiriou.com/esp32-dht22-sensor-setup/

Zhang, J., Sun, T., Huang, Z., Tao, W., Wang, N., Tian, L., … Wang, H. (2025). The Design of a Low-Power Pipelined ADC for IoT Applications. Sensors, 25(5), 1–18. https://doi.org/10.3390/s25051343

Zhong, X., Qiao, R., & Wang, X. (2024). An Innovative IoT-Based Intelligent Control System for Agricultural Greenhouses. International Journal of Mechanical and Electrical Engineering, 2(3), 85–90. https://doi.org/10.62051/ijmee.v2n3.10

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Published

30-06-2025

How to Cite

Ramadhani, D., Taqwa, A., Handayani, A. S., Caesarendra, W., Husni, N. L., & Sitompul, C. R. (2025). Multisensor monitoring system for detecting changes in weather conditions and air quality in agricultural environments. Journal of Environment and Sustainability Education, 3(2), 274–286. https://doi.org/10.62672/joease.v3i2.103

Issue

Vol. 3 No. 2 (2025)

Section

Articles

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