Research on the Weak Signal Detecting Technique for Crop Water Stress Based on Wavelet Denoising

Jing Hua Wang; Li Hui Geng; Cui Min Zhang

doi:10.4028/www.scientific.net/AMR.424-425.966

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 424-425Research on the Weak Signal Detecting Technique...

Research on the Weak Signal Detecting Technique for Crop Water Stress Based on Wavelet Denoising

Abstract:

At present, water shortage in agriculture becomes more and more serious. This situation makes it necessary to develop precision irrigation, which needs to obtain the accurate crop water stress in advance. However, this signal is too weak to be detected easily. Wavelet analysis has been widely used in the signal processing area for almost two decades due to its excellent time-frequency analysis ability. Therefore, the wavelet decomposition and reconstruction technique is applied to reduce the noises of experimental data collected from corn plants in a farmland. Finally, data analysis results show that wavelet denoising is effective to achieve the weak signal extraction.

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Periodical:

Advanced Materials Research (Volumes 424-425)

Pages:

966-970

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.424-425.966

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Online since:

January 2012

Authors:

Jing Hua Wang, Li Hui Geng, Cui Min Zhang

Keywords:

Crop Water Stress, Precision Irrigation, Wavelet Denoising, Weak Signal Detection

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References

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