Study on the Irrigation Measurement and Prediction of Greenhouse Flowers under Water Stress Acoustic Emission Based on Neural Network

Huan Zou; Xin Wang; Lin Lin Yang; Yan Xin Yang; Xue Ping Zhang

doi:10.4028/www.scientific.net/AMM.347-350.985

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Study on the Irrigation Measurement and Prediction...

Study on the Irrigation Measurement and Prediction of Greenhouse Flowers under Water Stress Acoustic Emission Based on Neural Network

Abstract:

Recently, with the rapid development of Chinese flower market, the precision irrigation problem is generally concerned. This paper mainly introduces the basic principles of the automatic irrigation system, and realizes the automatic control of the irrigation volume in irrigation system by utilizing the self-learning characteristics of BP neural network model and the powerful data processing ability of the matlab software.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

985-989

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.985

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Online since:

August 2013

Authors:

Huan Zou, Xin Wang, Lin Lin Yang, Yan Xin Yang, Xue Ping Zhang

Keywords:

Greenhouse Flowers, Neural Network Algorithm, Precision Irrigation

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References

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