Author
Listed:
- Naji Mordi Naji Al-Dosary
(Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia)
- Saleh Mufleh Al-Sager
(Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia)
- Waleed Abdulrahman Almasoud
(Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia)
- Mohammed Rajab Shady
(Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia)
- Salah Mohammad Al-Tuwairqi
(Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia)
- Rayan Fahad Al-Muraikhi
(Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia)
- Khalid Abdulaziz Al-Samman
(Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia)
Abstract
Traditional greenhouse cooling often relies on single-pass evaporative systems that exhaust valuable moisture and CO 2 into the atmosphere. This research introduces a sustainable alternative by developing a laboratory-scale greenhouse that utilizes a closed-loop ducting system to recycle cool, humidified exhaust air back through the evaporative felt pads and water reservoir. Central to this design is an automated control architecture powered by an Arduino Uno and an SCD-30 NDIR sensor module. This low-cost integration enables real-time monitoring and autonomous regulation of fans and water pumps to maintain internal temperature, relative humidity, and CO 2 concentration within optimal physiological limits. The system’s performance was evaluated against a conventional greenhouse model lacking recirculation and automated controls. Experimental results demonstrated that the modified model (smart) significantly outperformed the standard setup (traditional), achieving an improved temperature reduction by a higher rate of 1.45 °C, compared to only 1.03 °C in the traditional model, and a significant increase in relative humidity, reaching about 9.30%, compared to only 3.36% in the traditional model. While the traditional model experienced CO 2 dissipation, the experimental system successfully retained and regulated Carbon Dioxide levels, increasing concentrations from 497 to 552 ppm. These findings suggest that integrating smart automation with air-recirculation infrastructure represents a potential trail for improving resource management in controlled greenhouse environments under arid conditions.
Suggested Citation
Naji Mordi Naji Al-Dosary & Saleh Mufleh Al-Sager & Waleed Abdulrahman Almasoud & Mohammed Rajab Shady & Salah Mohammad Al-Tuwairqi & Rayan Fahad Al-Muraikhi & Khalid Abdulaziz Al-Samman, 2026.
"Smart Environment Adaptation for Proper Greenhouse Cultivation: From Prototype to Sustainable Operation of Auxiliary Air-Cooling System,"
Sustainability, MDPI, vol. 18(4), pages 1-29, February.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:4:p:2127-:d:1868969
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