Development status and prospects of intelligent control methods for greenhouse environment

Jianglong Liu; Junhui Wu; Kaiyan Lin; Jie Chen

doi:10.1117/12.3050292

27 September 2024 Development status and prospects of intelligent control methods for greenhouse environment

Jianglong Liu, Junhui Wu, Kaiyan Lin, Jie Chen

Proceedings Volume 13284, Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024); 1328408 (2024) https://doi.org/10.1117/12.3050292
Event: Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024), 2024, Hangzhou, China

Abstract

Crop output can be greatly enhanced by using greenhouses, and efficient environmental management techniques are necessary to achieve this goal. The greenhouse environment, being a multifactor, highly linked, nonlinear complex system, is vulnerable to multiple interferences that might affect the overall stability of the control system. Controlling greenhouse settings in an accurate, efficient, and intelligent way is still a major challenge. This article examines the three developing stages of greenhouse control to assess the common intelligent control methods used nationally and internationally in greenhouses. It focuses on how three important intelligent control techniques—fuzzy control, decoupling control, and neural network control are now being applied. Moreover, it recommends that multi-variable system control and control model optimization be given top priority in future research on greenhouse intelligent control to offer guidance and assistance for more sophisticated and intelligent greenhouse management in the future.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jianglong Liu, Junhui Wu, Kaiyan Lin, and Jie Chen "Development status and prospects of intelligent control methods for greenhouse environment", Proc. SPIE 13284, Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024), 1328408 (27 September 2024); https://doi.org/10.1117/12.3050292

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