| Spectral response characteristics of flue-cured tobacco under different drought stress at the vigorous growth stage |
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| DOI：10.7606/j.issn.1000-7601.2017.03.26 |
| Key Words: flue-cured tobacco leaves the vigorous growth stage water content spectral index estimating model |
| Author Name | Affiliation | | LI Meng-zhu | National Tobacco Cultivation & Physiology & Biochemistry Research Center, Henan Agricultural University, Zhengzhou 450002, China | | LIU Guo-shun | National Tobacco Cultivation & Physiology & Biochemistry Research Center, Henan Agricultural University, Zhengzhou 450002, China | | JIA Fang-fang | Shangqiu Normal University, Shangqiu 476000, China | | YANG Yan-dong | Shangqiu Normal University, Shangqiu 476000, China |
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| Abstract: |
| Drought directly affects the production and quality of flue-cured tobacco in particular the water critical period. The objective of this paper was to investigate the water contents of flue-cured tobacco leaves and hyperspectral features under different drought duration and drought stress by ASD spectrometer, with a model of the flue-cured tobacco leaf water indexes. The results indicated that the leaf water content and spectral reflectance under different treatments were reduced with the increase of drought degree. Under different drought duration, the leaf equivalent water thickness (LEWT) was sensitive, while fuel moisture content (FMC) was stable, suggesting that LEWT may be a suitable indicator of the water content of flue-cured tobacco leaves. The monadic linear model, multivariate linear model and BP neural network model were assembled for FMC and LEWT based on spectral parameters, the BP neural network model showed the best optimal effect, with the R2 being 0.8650, 0.9464 and RMSE being 0.0049, 0.0047, respectively. This model had high precision and excellent stability, which may provide guidance for monitoring the drought disaster and the development of digital tobacco using hyperspectral remote sensing technology during the vigorous growth stage. |
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