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The Preliminary Research on Isolated Leaf Moisture Detection Using Terahertz Technology

文献类型： 外文期刊

作者： Long Yuan 1 ; Zhao Chun-jiang 1 ; Li Bin 1 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

3.Minist Agr, Key Lab Agriinformat, Beijing 100097, Peoples R China

4.Beijing Engn Res Ctr Agr Internet Things, Beijing 100097, Peoples R China

5.Minist Agr, Key Lab Quantitat Remote Sensing Agr, Beijing 100097, Peoples R China

关键词： Terahertz imaging;Time domain spectra;Leaf moisture

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2017 年 37 卷 10 期

页码：

收录情况： SCI

摘要： Leaf moisture is an important parameter of plant health, and Terahertz is sensitive to leaf moisture. When terahertz spectra penetrate the leaf, the leaf can be imaged according to different moisture contents at different positions. In this research, Terahertz technology was used to detect the isolated leaf moisture. The relationship between leaf moisture and terahertz spectroscopy data was studied. Terahertz data were obtained by scanning the leaf in vitro. Then the time domain amplitude was obtained and the frequency domain spectra were extracted to rebuild the leaf images. The distribution of the leaf moisture could be clearly observed. This study showed that the image quality with the minimum time domain performed the best. Also, the optimal model was established. The correlation coefficient and the root mean square error of the prediction model were 0. 981 7 and 0. 023 7 g, respectively. The result of the research provides a guidance to predict live leaf moisture using Terahertz technology in the future.

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