Abstract
The function of automation in contemporary greenhouse agriculture is examined in this article. In light of the growing demand for food worldwide, workforce limitations, and the requirement for sustainable practices, automated technologies present creative ways to boost production, consistency, and efficiency. Important elements covered in the study include climate control, automated irrigation, sensor systems, and data-driven decision-making. It recognizes obstacles like high startup costs and technological complexity, but it also emphasizes how automation may make agriculture a more resilient and future-ready industry.
References
Fróna, D., Szenderák, J. and Harangi-Rákos, M., 2019. The challenge of feeding the world. Sustainability, 11(20), p.5816.
Dhanaraju, M., Chenniappan, P., Ramalingam, K., Pazhanivelan, S. and Kaliaperumal, R., 2022. Smart farming: Internet of Things (IoT)-based sustainable agriculture. Agriculture, 12(10), p.1745.
Singh, H.P., Dhankhar, S.S. and Dahiya, K.K., 2009. Horticultural crops. Stadium Press (India) Pvt Limited.
Ahmad, U. and Sharma, L., 2023. A review of best management practices for potato crop using precision agricultural technologies. Smart Agricultural Technology, 4, p.100220.
Singh, G., Bhagat, N. and Thakur, S., 2025. Automated Production Management in Horticulture: An Industry 4.0 Perspective. In Blockchain-Enabled Internet of Things Applications in Healthcare: Current Practices and Future Directions (pp. 258-282). Bentham Science Publishers.
Xie, D., Chen, L., Liu, L., Chen, L. and Wang, H., 2022. Actuators and sensors for application in agricultural robots: A review. Machines, 10(10), p.913.
Hoque, M.J., Ahmed, M.R. and Hannan, S., 2020. An automated greenhouse monitoring and controlling system using sensors and solar power. European Journal of Engineering and Technology Research, 5(4), pp.510-515.
Johnraja, J.I., Leelipushpam, P.G.J., Shirley, C.P. and Princess, P.J.B., 2024. Impact of cloud computing on the future of smart farming. In Intelligent Robots and Drones for Precision Agriculture (pp. 391-420). Cham: Springer Nature Switzerland.
Shamshiri, R., Kalantari, F., Ting, K.C., Thorp, K.R., Hameed, I.A., Weltzien, C., Ahmad, D. and Shad, Z.M., 2018. Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture. International Journal of Agricultural and Biological Engineering, 11(1), pp.1-22.
Maraveas, C., Piromalis, D., Arvanitis, K.G., Bartzanas, T. and Loukatos, D., 2022. Applications of IoT for optimized greenhouse environment and resources management. Computers and Electronics in Agriculture, 198, p.106993.
Padhiary, M., Saikia, P., Roy, P., Hussain, N., Kumar, K. and Mr, P.S., 2025. A Review on Advancing Agricultural Efficiency through Geographic Information Systems, Remote Sensing, and Automated Systems. Cureus Journals, 2(1).
Bacci, L., Battista, G., & Rapi, B. (2018). Sustainable management in protected crops using climate control and decision support systems. Agricultural Systems, 162, 1–11. [Elsevier].
Boulard, T., & Wang, S. (2002). Greenhouse crop transpiration simulation from external climate conditions. Agricultural and Forest Meteorology, 112(1), 45–59. [Elsevier].
Van Henten, E. J., et al. (2002). An autonomous robot for harvesting cucumbers in greenhouses. Autonomous Robots, 13(3), 241–258. [Google Scholar]
Boulard, T., & Wang, S. (2002). Greenhouse crop transpiration simulation from external climate conditions. Agricultural and Forest Meteorology, 112(1), 45–59. [Elsevier]
Li, M., Bai, Y., & Yu, H. (2019). Design of a wireless greenhouse monitoring system based on ZigBee. Computers and Electronics in Agriculture, 162, 31–38. [Elsevier]
Speetjens, M. F. M., et al. (2009). Modelling greenhouse climate control and plant growth for decision support. Biosystems Engineering, 104(3), 277–287. [Elsevier]
Wadsworth, J., et al. (2015). Measuring agricultural productivity using high-frequency sensor data. Agricultural Systems, 135, 79–88. [Elsevier]
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