Early Detection of Cauliflower Gray Mold Based on Near-Infrared Spectrum Feature Extraction

Bing-yu MU; Shu-juan ZHANG; Ze-zhen LI; Kai WANG; Zi-hui LI; Jian-xin XUE

doi:10.3964/j.issn.1000-0593(2021)08-2543-06

Spectroscopy and Spectral Analysis, Volume. 41, Issue 8, 2543(2021)

Early Detection of Cauliflower Gray Mold Based on Near-Infrared Spectrum Feature Extraction

Bing-yu MU^1、*, Shu-juan ZHANG^1、1;, Ze-zhen LI^2、2;, Kai WANG^1、1;, Zi-hui LI^1、1;, and Jian-xin XUE^{1、1; *;}

Author Affiliations

¹1. College of Agricultural Engineering, Shanxi Agricultural University, Jinzhong 030801, China

²2. College of Food Science and Engineering, Shanxi Agricultural University, Jinzhong 030801, China

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Figures & Tables(6)

Fig. 1. Average reflection spectrum of cauliflower sample

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Table 1. Sample of cauliflower during storage
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Table 1. Sample of cauliflower during storage

Table 2. Changes of cauliflower quality indexes during storage

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Table 2. Changes of cauliflower quality indexes during storage

指标	处理方式	贮藏时间/d
指标	处理方式	0.5	1	2	3
POD/(U·g^-1)	对照组	124.33±8.00a	140.0±10.75a	100.38±1.63b	81.33±0.38a
POD/(U·g^-1)	接菌组	126.63±3.12a	151.25±2.00a	109.75±1.00a	78.75±0.50b
PPO/(U·g^-1)	对照组	14.44±0.06a	17.00±0.50a	20.25±0.13b	17.79±0.76b
PPO/(U·g^-1)	接菌组	14.50±0.38a	18.38±1.12a	24.86±0.32a	21.50±0.75a
MDA/(nmol·g^-1)	对照组	2.22±0.04a	3.29±0.02b	4.55±0.19b	6.66±0.07b
MDA/(nmol·g^-1)	接菌组	2.62±0.20a	4.00±0.08a	6.60±0.23a	8.51±0.17a

Table 3. Characteristic wavelength table extracted by CARS algorithm

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Table 3. Characteristic wavelength table extracted by CARS algorithm

批次	时间 /d	特征波长个数	所提取的特征波长(λ/nm)
1	0.5	11	748, 980, 992, 1 236, 1 343, 1 874, 2 109, 2 119, 2 354, 2 372, 2 383
2	1	10	845, 865, 913, 932, 1 048, 1 074, 1 363, 1 448, 1 685, 1 850
3	2	10	500, 517, 649, 686, 755, 975, 998, 1 716, 1 874, 2 169
4	3	9	552, 837, 903, 1 609, 1 665, 1 720, 1 973, 2 354, 2 383

Table 4. CARS characteristic wavelength PLSR single batch modeling
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Table 4. CARS characteristic wavelength PLSR single batch modeling
批次时间
/d 预测集建模结果预测集判别结果
$R_{p}^{2}$ RMSEP 总数误判个数判别准确率/%
1 0.5 0.835 0.206 38 2 94.74
2 1 0.892 0.155 38 0 100
3 2 0.944 0.118 38 0 100
4 3 0.977 0.057 38 0 100

Table 5. CARS characteristic wavelength PLSR combined batch modeling
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Table 5. CARS characteristic wavelength PLSR combined batch modeling
批次时间
/d 预测集建模结果预测集判别结果
$R_{p}^{2}$ RMSEP 总数误判个数判别准确率/%
1 0.5 0.817 0.242 38 3 92.11
2 1 0.875 0.185 38 1 97.37
3 2 0.912 0.149 38 0 100
4 3 0.959 0.098 38 0 100

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Bing-yu MU, Shu-juan ZHANG, Ze-zhen LI, Kai WANG, Zi-hui LI, Jian-xin XUE. Early Detection of Cauliflower Gray Mold Based on Near-Infrared Spectrum Feature Extraction[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2543

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