Spectroscopy and Spectral Analysis, Volume. 41, Issue 11, 3559(2021)

Prediction Model of Soluble Solid Content in Peaches Based on Hyperspectral Images

Bao-hua YANG*, Zhi-wei GAO, Lin QI, Yue ZHU, and Yuan GAO
Author Affiliations
  • School of Information and Computer, Anhui Agricultural University, Hefei 230036, China
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    Figures & Tables(5)
    Model for predicting the soluble solid content of peaches based on stacked autoencoder-particle swarm optimization-support vector regression
    The original hyperspectra of fresh peaches
    The relative importance of spatial information of fresh peach hyperspectral images
    The results of predicting SSC of peach based on the SAE-PSO-SVR model with different structures
    Visualization of the soluble solid content of different varieties of fresh peaches
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    Bao-hua YANG, Zhi-wei GAO, Lin QI, Yue ZHU, Yuan GAO. Prediction Model of Soluble Solid Content in Peaches Based on Hyperspectral Images[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3559

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    Paper Information

    Category: Orginal Article

    Received: Aug. 12, 2020

    Accepted: --

    Published Online: Dec. 17, 2021

    The Author Email: Bao-hua YANG (ybh@ahau.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2021)11-3559-06

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