Spectroscopy and Spectral Analysis, Volume. 41, Issue 11, 3559(2021)
Prediction Model of Soluble Solid Content in Peaches Based on Hyperspectral Images
Fig. 1. Model for predicting the soluble solid content of peaches based on stacked autoencoder-particle swarm optimization-support vector regression
Fig. 3. The relative importance of spatial information of fresh peach hyperspectral images
Fig. 4. The results of predicting SSC of peach based on the SAE-PSO-SVR model with different structures
Fig. 5. 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
Category: Orginal Article
Received: Aug. 12, 2020
Accepted: --
Published Online: Dec. 17, 2021
The Author Email: Bao-hua YANG (ybh@ahau.edu.cn)