An Economic and Smart Greenhouse System using Microcontroller for Sustainable Agriculture: A Case Study




automatic cooling system, automatic irrigation system, programming, smart greenhouse


The demand of food is continuously increasing as compared to its production due to the rapid urbanization, population growth and climate change. In this scenario, greenhouse is an alternative to maximize the food production without increasing fertile land. The smart greenhouse uses integrated sensor system to control and monitor the environment inside the greenhouse. This research focuses on designing cost effective and automatic parameter monitoring system for existing greenhouses using microcontroller. The research was carried out in two parts, initially, feedbacks regarding the current greenhouse and scopes for automation were collected through field survey with the farmers and later, an experimental model was developed in accordance with the data collection. From the data analysis of field survey, it was found that current greenhouses had problems in effective temperature and irrigation control. Thus, the designed model carries out automatic cooling and irrigation with effective monitoring of this parameter in a display. Furthermore, upon economic analysis, labor cost for monitoring of greenhouse was Rs. 1, 66,860per annum which will be reduced. Meanwhile, discounted payback period analysis showed that initial investment will recover after 2.34 years with the cost for conversion to smart greenhouse at Rs 552 sq. meters.

Author Biography

Samir Raj Bhandari, Oxford College of Engineering and Management

Er. Samir Raj Bhandari


Department of Electrical and Electronics Engineering 

Oxford College of Engineering and Management 



N. Castilla, dalam Greenhouse technology and management, Cabi, 2013.

“Britannica,” Encyclopedia Britannica., 12 August 2022. [Online]. Available: [Diakses 15 09 2022].

J. K. Casper, “Greenhouse effect,” dalam Greenhouse Gases: Worldwide Impacts, Infobase Publishing, 2010.

“Comsol,” [Online]. Available: [Diakses 22 09 2022].

P. Tomar dan G. Kaur, “Smart Greenhouse,” dalam Artificial Intelligence and IoT-based Technologies for Sustainable Farming and Smart Agriculture, IGI Global, 2021.

R. Rayhana, G. Xiao dan Z. Liu, “Internet of things empowered smart greenhouse farming,” IEEE Journal of Radio Frequency Identification, vol. 4, no. 3, pp. 195-211, 2020.

S. L. Li, . Y. Han, L. Ge, . M. Zhang, . L. Zhang dan . Q. Ma, “Design and Implementation of Agricultral Greenhouse Environmental Monitoring System Based on Internet of Things,” In Applied Mechanics and Materials, Vol. %1 dari %2121-126, pp. 2624-2629, 2011.

N. Kaewmard dan S. Saiyod, “Sensor data collection and irrigation control on vegetable crop using smart phone and wireless sensor networks for smart farm,” IEEE Conference on Wireless Sensors, pp. 106-112, 2014.

“ Rural Integrated Development Services - Nepal,” 2013. [Online]. Available: [Diakses 19 09 2022].

S. R. Bhandari, “An Elaborative Study in the Market Potential of Home Automation and Security Products: A case Study of Chitwan District in Urban Nepal.,” OCEM Journal of Management, Technology and Social Sciences, vol. 1, no. 1, pp. 107-117, 2019.

T. Searchinger, R. Waite, C. Hanson, J. Ranganathan, P. Dumas, E. Matthews dan C. Carni, “Creating a sustainable food future: A menu of solutions to feed nearly 10 billion people by 2050. Final report.,” Wrld Resources Institute, 2019.

“CircuitsToday,” 2020. [Online]. Available: [Diakses 20 09 2022].

P. N. atreya, A. Kafle, B. D. Subedi dan S. B. Shrestha, “Precision and protected horticulture in Nepal,” Nepal Horticulture Society, vol. 1, 2019.




How to Cite

S. R. Bhandari, “An Economic and Smart Greenhouse System using Microcontroller for Sustainable Agriculture: A Case Study”, IJEERE, vol. 3, no. 1, pp. 36-46, Jun. 2023.



Table of Contents IJEERE