Spectroscopy and Spectral Analysis, Volume. 42, Issue 10, 3135(2022)
Optimization of Seed Vigor Near-Infrared Detection by Coupling Mean Impact Value With Successive Projection Algorithm
Fig. 1. Near infrared spectrometer (a), Aging test box (b), Electronic scale (c) and IN312-SHD0 measuring cup (d)
Fig. 2. Spectra of 402 corn seed samples
Fig. 3. Spectra after SG-SNV pretreatment
Fig. 4. Selected variables of SPA with assigning value 20 to the number of variables selected
Fig. 5. Selected variables of SPAsa (a) and the change of RMSECV with the setting number of selected variables in SPAsa (b)
Fig. 6. Distribution of MIV values of full spectrum data
Fig. 7. MIVopt pre-dimensionality reduction
(a): Number of selected wavelengths varies with MIV relative distance ratio;(b): Prediction accuracy varies with MIV relative distance ratio
Fig. 8. The distribution of wavelengths selected by MIVopt-SPAsa
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Dong-feng YANG, Ai-chuan LI, Jin-ming LIU, Zheng-guang CHEN, Chuang SHI, Jun HU. Optimization of Seed Vigor Near-Infrared Detection by Coupling Mean Impact Value With Successive Projection Algorithm[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3135
Category: Research Articles
Received: Jul. 29, 2021
Accepted: Oct. 25, 2021
Published Online: Nov. 23, 2022
The Author Email: YANG Dong-feng (yangsansun@sina.com)