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
- Spectroscopy and Spectral Analysis
- Vol. 41, Issue 11, 3559 (2021)
Fig. 1. Model for predicting the soluble solid content of peaches based on stacked autoencoder-particle swarm optimization-support vector regression
Fig. 2. The original hyperspectra of fresh peaches
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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