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Environmental data sensing and IoT-based data visualization for smart greenhouse management

Cilt: 1 Sayı: 41 31 Temmuz 2026
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Environmental data sensing and IoT-based data visualization for smart greenhouse management

Öz

To prevent resource waste in traditional agricultural practices and to respond instantly to environmental changes, this study develops a low-cost, multi-parameter smart greenhouse monitoring system based on the Internet of Things (IoT). The system is built on the high-performance STM32F407VGT6 microcontroller, designed for embedded systems, and manages a hybrid sensor network that simultaneously collects temperature, humidity, pressure, air quality, soil moisture, and light intensity data. The unique aspect of this work is that, thanks to the developed C++-based wrapper software architecture, sensors with different communication protocols can be synchronized on a single embedded system, and raw electrical data can be converted into meaningful percentage values for the end user. The obtained data is visualized in real-time locally on an SSD1306 OLED screen and remotely on the Blynk platform via an ESP8266 Wi-Fi module. Test results have shown that the system measures environmental data with high accuracy and transmits it to the cloud server with a response time of less than two seconds. In conclusion, this study offers an economical IoT-enabled smart farming solution for small-scale producers and creates a robust technological infrastructure for future fully autonomous control systems.

Anahtar Kelimeler

IoT, Embedded Systems, Smart Greenhouse, Environmental Monitoring

Etik Beyan

Ethical consent is not required for the study.

Kaynakça

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  3. AlZubi, A. A., & Galyna, K. (2023). Artificial intelligence and internet of things for sustainable farming and smart agriculture. IEEE Access, 11, 78686-78692.
  4. Aslan, B., & Aslan, F. Y. (2025). Bitkisel tarımda kullanılan ürün izleme teknolojilerinin incelenmesi. Manas Journal of Agriculture Veterinary and Life Sciences, 15(1), 132-145.
  5. Ayaz, M., Ammad-Uddin, M., Sharif, Z., Mansour, A., & Aggoune, E. H. M. (2019). Internet-of-Things (IoT)-based smart agriculture: Toward making the fields talk. IEEE Access, 7, 129551-129583.
  6. Baysal, K., Özcan, M. O., Özdüven, F. F. ve Beynek, B., (2018). Nesnelerin interneti tabanlı bir sera takip sistemi. Ejovoc (Electronic Journal of Vocational Colleges), 8(2), 49-56.
  7. Bersani, C., Ruggiero, C., Sacile, R., Soussi, A., & Zero, E. (2022). Internet of things approaches for monitoring and control of smart greenhouses in industry 4.0. Energies, 15(10), 3834.
  8. Bicamumakuba, E., Reza, M. N., Jin, H., Samsuzzaman, Lee, K. H., & Chung, S. O. (2025). Multi-sensor monitoring, intelligent control, and data processing for smart greenhouse environment management. Sensors, 25(19), 6134.
  9. Bosch Sensortec, (2024). BME280 Combined Humidity and Pressure Sensor Data Sheet (Document No. BST-BME280-DS001-24). Reutlingen: Bosch Sensortec GmbH.
  10. Çakmakçı, M. F., & Çakmakçı, R. (2023). Uzaktan algılama, yapay zekâ ve geleceğin akıllı tarım teknolojisi trendleri. Avrupa Bilim ve Teknoloji Dergisi, (52), 234-246.

Kaynak Göster

APA
Dağhan, M. G., Bhuiyan, M. R. A., & Mamur, H. (2026). Environmental data sensing and IoT-based data visualization for smart greenhouse management. Soma Meslek Yüksekokulu Teknik Bilimler Dergisi, 1(41), 42-52. https://doi.org/10.47118/somatbd.1878301
AMA
1.Dağhan MG, Bhuiyan MRA, Mamur H. Environmental data sensing and IoT-based data visualization for smart greenhouse management. Soma MYO Teknik Bilimler Dergisi. 2026;1(41):42-52. doi:10.47118/somatbd.1878301
Chicago
Dağhan, Mustafa Gökhan, Mohammad Ruhul Amin Bhuiyan, ve Hayati Mamur. 2026. “Environmental data sensing and IoT-based data visualization for smart greenhouse management”. Soma Meslek Yüksekokulu Teknik Bilimler Dergisi 1 (41): 42-52. https://doi.org/10.47118/somatbd.1878301.
EndNote
Dağhan MG, Bhuiyan MRA, Mamur H (01 Temmuz 2026) Environmental data sensing and IoT-based data visualization for smart greenhouse management. Soma Meslek Yüksekokulu Teknik Bilimler Dergisi 1 41 42–52.
IEEE
[1]M. G. Dağhan, M. R. A. Bhuiyan, ve H. Mamur, “Environmental data sensing and IoT-based data visualization for smart greenhouse management”, Soma MYO Teknik Bilimler Dergisi, c. 1, sy 41, ss. 42–52, Tem. 2026, doi: 10.47118/somatbd.1878301.
ISNAD
Dağhan, Mustafa Gökhan - Bhuiyan, Mohammad Ruhul Amin - Mamur, Hayati. “Environmental data sensing and IoT-based data visualization for smart greenhouse management”. Soma Meslek Yüksekokulu Teknik Bilimler Dergisi 1/41 (01 Temmuz 2026): 42-52. https://doi.org/10.47118/somatbd.1878301.
JAMA
1.Dağhan MG, Bhuiyan MRA, Mamur H. Environmental data sensing and IoT-based data visualization for smart greenhouse management. Soma MYO Teknik Bilimler Dergisi. 2026;1:42–52.
MLA
Dağhan, Mustafa Gökhan, vd. “Environmental data sensing and IoT-based data visualization for smart greenhouse management”. Soma Meslek Yüksekokulu Teknik Bilimler Dergisi, c. 1, sy 41, Temmuz 2026, ss. 42-52, doi:10.47118/somatbd.1878301.
Vancouver
1.Mustafa Gökhan Dağhan, Mohammad Ruhul Amin Bhuiyan, Hayati Mamur. Environmental data sensing and IoT-based data visualization for smart greenhouse management. Soma MYO Teknik Bilimler Dergisi. 01 Temmuz 2026;1(41):42-5. doi:10.47118/somatbd.1878301