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http://dspace.aiub.edu:8080/jspui/handle/123456789/3077| Title: | Sustainable IoT-Based Deep Water Culture Hydroponic for Leaf & Plant-Based Cultivation System with Real-Time Monitoring and Alerts |
| Authors: | Rahman, Taseen Chowdhury, Nadman Ahmed Mamun, Kazi Shahed Rahman, Md. Mahim Musta, Zannatul Hossain, Md Sajid |
| Keywords: | Hydroponics Internet of Things deep water culture pH monitoring TDS sensor Telegram notifications Sustainable Agriculture |
| Issue Date: | Jan-2026 |
| Publisher: | IEEE |
| Citation: | T. Rahman, N. A. Chowdhury, K. S. Mamun, M. M. Rahman, Z. Musta and M. S. Hossain, "Sustainable IoT-Based Deep Water Culture Hydroponic for Leaf & Plant-Based Cultivation System with Real-Time Monitoring and Alerts," 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2026, pp. 1-6, doi: 10.1109/ICECTE69292.2026.11429439. |
| Abstract: | A deep water culture (DWC) hydroponic system was developed and tested with the purpose of measuring the quality of nutrient solution and plants. The system consists of the combination of a pH sensor, TDS sensor, the temperature sensor, and an ESP32 microcontroller to constantly obtain the nutrient reservoir data. The idea supports the Sustainable Development Goals, specifically Goal 15: Life on Land by reducing pressure on natural soil ecosystems and allowing a sustainable, land-independent way of food/crop production that coexists with nature. The sensor readings are sent to Blynk cloud dashboard through Wi-Fi, where the real-time data can be observed. Once a parameter goes out of the threshold values defined, the ESP32 sends a notification through the Telegram bot. The outcomes indicate that the pH was kept in 5.6-6.9, the TDS was in 853-1075ppm and temperature of solutions was kept between 26.4°C and 32.7°C. On the same time period the plant height increased from 5 inch (12.7 cm) to more than 20 inches (50.8 cm). Through the integration of IoT, the proposed system demonstrates the presence of reliable real-time control, active data recording, and efficient created alerts, which depict the ability to improve the precision and sustainability of modern hydroponic farming. |
| Description: | Conference paper published in 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE). Contact email: sajidh@aiub.edu |
| URI: | https://ieeexplore.ieee.org/document/11429439 http://dspace.aiub.edu:8080/jspui/handle/123456789/3077 |
| ISBN: | 979-8-3315-6135-2 |
| Appears in Collections: | Publications From Faculty of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 37_Sustainable_IoT_Based_Deep_Water_Culture_Hydroponic_for_Leaf_Plant_Bas.docx | 3.27 MB | Microsoft Word XML | View/Open |
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