Paper
18 October 2022 Research on greenhouse integrated water and fertilizer intelligent irrigation system based on STM32 and fuzzy control strategy
Limin Li, Yukang Zhao, Lianxia Wang, Juanjuan Zhao
Author Affiliations +
Proceedings Volume 12349, International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022); 123491I (2022) https://doi.org/10.1117/12.2657105
Event: International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022), 2022, Zhengzhou, China
Abstract
In order to improve the utilization rate of water resources and realize the intelligent irrigation of water and fertilizer integration in greenhouses, a multi-sensor dynamic monitoring network was built around the crop growth environment, and an intelligent irrigation system based on STM32 microprocessor was designed. On the basis of fully considering the key factors of the crop growth environment, according to the real-time data, the type and proportion of fertilizer required by crops are analyzed and calculated. The model can intelligently control the amount of water and liquid fertilizer based on the different growth periods of crops to achieve precise water and fertilizer control. By verifying the hardware and algorithm, the results show that the method proposed in this paper can not only save water, but also improve the quality of crop growth.
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Limin Li, Yukang Zhao, Lianxia Wang, and Juanjuan Zhao "Research on greenhouse integrated water and fertilizer intelligent irrigation system based on STM32 and fuzzy control strategy", Proc. SPIE 12349, International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022), 123491I (18 October 2022); https://doi.org/10.1117/12.2657105
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KEYWORDS
Sensors

Intelligence systems

Control systems

Picosecond phenomena

Humidity

Control systems design

Fuzzy logic

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