Ripeness Assessment of Tomato Fruit by Optical Absorption and Scattering Coefficient Spectra

Yu-ping HUANG; De-zhen WANG; Hai-yan ZHOU; Yu-tu YANG; Kun-jie CHEN

doi:10.3964/j.issn.1000-0593(2020)11-3556-06

Spectroscopy and Spectral Analysis, Volume. 40, Issue 11, 3556(2020)

Ripeness Assessment of Tomato Fruit by Optical Absorption and Scattering Coefficient Spectra

Yu-ping HUANG1...1,*, De-zhen WANG1,1, Hai-yan ZHOU1,1, Yu-tu YANG1,1, and Kun-jie CHEN11 |Show fewer author(s)

Author Affiliations

¹[in Chinese]

¹1. College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China

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Figures & Tables(7)

Fig. 1. Different maturity stages for tomatoes based on their internal and surface color

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Fig. 2. Schematic of the spatially-resolved spectroscopy system (a), and the flexible probe (b)

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Fig. 3. Procedure of calculating μ_a and μ'_s

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Fig. 4. Mean spectra of (a) absorption (μ_a) and (b) reduced scattering (μ'_s) coefficients for tomato fruit at the six maturity stages

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Table 1. The overall classification accuracies for tomato maturity in test set
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Table 1. The overall classification accuracies for tomato maturity in test set
μ_a μ_'s μ_a×μ'_s μ_eff
Six
maturity Surface color 0.845 0.230 0.855 0.855
Internal color 0.740 0.205 0.785 0.750
Three
maturity Surface color 0.935 0.500 0.945 0.930
Internal color 0.940 0.485 0.940 0.940

Table 2. Classification accuracies for tomato of six maturity stages using μ_a×μ'_s in test set

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Table 2. Classification accuracies for tomato of six maturity stages using μ_a×μ'_s in test set

		Green	Breaker	Turning	Pink	Light Red	Red	Classification Accuracy
Green	Surface Internal	34 29	2 7	0 0	0 0	0 0	0 0	0.971 0.967
Breaker	Surface Internal	1 1	25 12	4 1	0 0	0 0	0 0	0.833 0.444
Turning	Surface Internal	0 0	3 8	26 30	5 1	0 1	0 0	0.813 0.732
Pink	Surface Internal	0 0	0 0	2 10	25 27	2 3	0 0	0.781 0.900
Light Red	Surface Internal	0 0	0 0	0 0	2 2	30 24	4 3	0.833 0.706
Red	Surface Internal	0 0	0 0	0 0	0 0	4 6	31 35	0.886 0.921

Table 3. Classification accuracies for tomato of three maturity stages using μ_a×μ'_s in test set
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Table 3. Classification accuracies for tomato of three maturity stages using μ_a×μ'_s in test set
Green/Breaker Turning/Pink Light Red/Red Classification Accuracy
Green/Breaker Surface
Internal 61
54 3
2 0
0 0.938
0.947
Turning/Pink Surface
Internal 4
3 60
67 3
5 0.938
0.944
Light Red/Red Surface
Internal 0
0 1
2 68
67 0.958
0.931

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Yu-ping HUANG, De-zhen WANG, Hai-yan ZHOU, Yu-tu YANG, Kun-jie CHEN. Ripeness Assessment of Tomato Fruit by Optical Absorption and Scattering Coefficient Spectra[J]. Spectroscopy and Spectral Analysis, 2020, 40(11): 3556

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Paper Information

Category: Research Articles

Received: Oct. 14, 2019

Accepted: --

Published Online: Jun. 18, 2021

The Author Email: HUANG Yu-ping (h.y.p_2010@163.com)

DOI:10.3964/j.issn.1000-0593(2020)11-3556-06

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. The overall classification accuracies for tomato maturity in test set

Table 1. The overall classification accuracies for tomato maturity in test set

Table 2. Classification accuracies for tomato of six maturity stages using μa×μ's in test set

Table 2. Classification accuracies for tomato of six maturity stages using μa×μ's in test set

Table 3. Classification accuracies for tomato of three maturity stages using μa×μ's in test set

Table 3. Classification accuracies for tomato of three maturity stages using μa×μ's in test set

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Table 2. Classification accuracies for tomato of six maturity stages using μ_a×μ'_s in test set

Table 2. Classification accuracies for tomato of six maturity stages using μ_a×μ'_s in test set

Table 3. Classification accuracies for tomato of three maturity stages using μ_a×μ'_s in test set

Table 3. Classification accuracies for tomato of three maturity stages using μ_a×μ'_s in test set