Spectroscopy and Spectral Analysis, Volume. 41, Issue 7, 2166(2021)
Fast and Non-Destructive Determination on Fresh Degree of Wheat Kernels Based on Biophotons
Figures & Tables(7)
Fig. 1. UWL analyzer and other instrumentation used in the experiment
Fig. 2. Coarse-graining scheme of a sequence for scale factor
Fig. 3. The scatter diagram of average wheat UWL data in five years
Fig. 4. MPE and MMPE value under different scales of wheat biophoton numbers in four years
Table 1. Wheat UWL data statistical characteristics in five years
View tableView in ArticleTable 1. Wheat UWL data statistical characteristics in five years
Mean value Variance Standard deviation 2015 41.79 375.06 19.37 2016 44.78 347.19 18.63 2017 63.33 369.42 19.22 2018 57.95 393.02 19.82 2019 182.31 6 960.43 83.43
Table 2. Classification result by introducing MPE values as main features
View tableView in ArticleTable 2. Classification result by introducing MPE values as main features
Input
parameterscorrect group
numberstotal group
numberscorrect
rate/%mean, variance,
standard deviation,
MPE37 40 92.5
Table 3. Classification result by introducing MMPE values as main features
View tableView in ArticleTable 3. Classification result by introducing MMPE values as main features
Input
parameterscorrect group
numberstotal group
numberscorrect
rate/%mean, variance,
standard deviation,
MMPE38 40 95.0
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Yue-hong GONG, Tie-jun YANG, Yi-tao LIANG, Hong-yi GE. Fast and Non-Destructive Determination on Fresh Degree of Wheat Kernels Based on Biophotons[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2166
Paper Information
Category: Research Articles
Received: Jun. 23, 2020
Accepted: --
Published Online: Sep. 8, 2021
The Author Email: GONG Yue-hong (yuehonggong@163.com)
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