Spectroscopy and Spectral Analysis, Volume. 42, Issue 5, 1426(2022)
Prediction of the Degree of Late Blight Disease Based on Optical Fiber Spectral Information of Potato Leaves
Figures & Tables(15)
Fig. 2. The images of leaves cultivated at a temperature of 20 ℃ and 70% humidity for one day to five days
Fig. 3. Spectroscopic acquisition system
1: Reflection probe; 2: Fiber;3: USB4000 spectrometer
Fig. 5. Spectral curves of potato leaves with different inoculation times
Fig. 6. Changes of POD enzyme activity with inoculation time under the same humidity and different temperature conditions
(a): 70%; (b): 80%; (c): 90%
Fig. 7. Changes of POD enzyme activity with inoculation time under the same temperature and different humidity conditions
(a): 15 ℃; (b): 20 ℃; (c): 25 ℃ Note: The leaves with inoculation time of 0 days are healthy leaves
Fig. 8. The trend of the model root mean square error with the number of variables
Fig. 11. The prediction modeling results of the sample's disease degree established by multiple linear regression analysis (a) and RBFNN (b)
Table 1. Statistical results of POD enzyme activity of potato leaves
View tableView in ArticleTable 1. Statistical results of POD enzyme activity of potato leaves
样本集 样本数
/个范围/
[U·(g·min)-1]均值±标准差/
[U·(g·min)-1]建模集 93 32.94~502.31 225.17±117.22 预测集 30 48.15~477.27 237.31±112.95 全部 123 32.94~502.31 228.13±115.85
Table 2. PLS model results of full-wavelength spectrum data preprocessed by different methods
View tableView in ArticleTable 2. PLS model results of full-wavelength spectrum data preprocessed by different methods
预处理方法 建模集 预测集 参与建模的变量数 RMSEc/[U·(g·min)-1] RMSEp/[U·(g·min)-1] 原始 0.958 2 23.831 3 0.965 0 39.088 1 16 中心化 0.958 2 23.831 3 0.965 0 23.603 4 16 归一化 0.927 4 31.409 0 0.943 6 41.630 2 13 S-G卷积平滑 0.954 7 24.819 8 0.964 7 39.091 7 16 移动窗口平均平滑 0.950 5 25.929 6 0.963 6 39.140 8 16 多元散射校正 0.980 3 16.369 1 0.925 2 44.951 1 16 标准正态变量变换 0.978 8 16.994 2 0.930 1 41.155 3 16 基线漂移 0.960 8 23.074 7 0.967 6 35.878 3 16 导数算法(二阶) 0.774 7 55.335 9 0.434 7 85.186 0 2
Table 3. Feature wavelength extracted by algorithms
View tableView in ArticleTable 3. Feature wavelength extracted by algorithms
提取方法 特征波长/nm RF 547, 697, 707, 740, 754, 755, 758, 759, 767, 814, 878, 879, 888, 941, 942, 946 SPA 482, 485, 508, 514, 531, 548, 609, 622, 650, 661, 686, 699, 716, 743, 763, 811, 899, 927, 941, 946, 948 CARS 480, 492, 496, 508, 532, 533, 539, 540, 541, 547, 548, 597, 607, 624, 635, 638, 639, 640, 649, 650, 673, 678, 686, 688, 692, 695, 696, 670, 706, 707, 739, 741, 742, 755, 758, 766, 788, 789, 790, 791, 794, 795, 801, 807, 813, 820, 822, 841, 842, 854, 860, 868, 871, 872, 874, 878, 888, 889, 892, 898, 901, 911, 914, 920, 922, 933, 937, 941, 942, 944, 945, 946
Table 4. PLS model results based on characteristic wavelength and full wavelength
View tableView in ArticleTable 4. PLS model results based on characteristic wavelength and full wavelength
模型 波长数 建模集 预测集 RMSEc/
[U·(g·min)-1]RMSEp/
[U·(g·min)-1]PLS 2 457 0.958 2 23.831 3 0.965 0 23.603 4 RF-PLS 16 0.736 2 59.883 7 0.755 9 55.417 2 SPA-PLS 21 0.821 0 49.330 5 0.942 2 27.036 0 CARS-PLS 72 0.997 3 6.032 3 0.958 1 25.698 6
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. Prediction of the Degree of Late Blight Disease Based on Optical Fiber Spectral Information of Potato Leaves[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1426
Paper Information
Category: Research Articles
Received: Mar. 31, 2021
Accepted: --
Published Online: Nov. 10, 2022
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