Spectroscopy and Spectral Analysis, Volume. 41, Issue 1, 210(2021)

Rapidly Detecting Chlorophyll Content in Oilseed Rape Based on Spectral Reconstruction and Its Device Development

Hai-yong WENG1,1、*, Jun-kun HUANG1,1, Liang WAN1,1, and Da-peng YE1,1
Author Affiliations
  • 1[in Chinese]
  • 11. College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
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    Figures & Tables(4)
    The handheld multispectral imaging system (a), the layout of LEDs (b), the central wavelength of each LED (c), the software (d) and the in-house hyperspectral imaging system (e)
    The mean spectral reflectance measured by the indoor hyperspectral imaging system (a) and the handheld multispectral imaging system (b), the original hyperspectral reflectance and reconstructed hyperspectral reflectance (c), the correlation coefficient between the original hyperspectral reflectance and reconstructed hyperspectral reflectance (d)
    The performance of PLSR model based on spectral reflectance at 225 wavelengths in visible range measured by the indoor hyperspectral imaging system (a) and the spectral reflectance at four wavelengths in visible range measured by the handheld multispectral imaging system (b)
    The impact of different numbers of standard samples on the predicting ability of PLSR model (a) and the performance of PLSR model based on the reconstructed hyperspectra using 5 standard samples (b)
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    Hai-yong WENG, Jun-kun HUANG, Liang WAN, Da-peng YE. Rapidly Detecting Chlorophyll Content in Oilseed Rape Based on Spectral Reconstruction and Its Device Development[J]. Spectroscopy and Spectral Analysis, 2021, 41(1): 210

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    Paper Information

    Category: Research Articles

    Received: Dec. 10, 2019

    Accepted: --

    Published Online: Apr. 8, 2021

    The Author Email: Hai-yong WENG (hyweng@fafu.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2021)01-0210-06

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