Spectroscopy and Spectral Analysis, Volume. 41, Issue 9, 2764(2021)
Study on Online Detection Method of “Yali” Pear Black Heart Disease Based on Vis-Near Infrared Spectroscopy and AdaBoost Integrated Model
Figures & Tables(13)
Fig. 1. Schematic diagram of the vis-near infrared spectroscopy online sorting device for ‘Yali' pear
Fig. 4. Distribution of the first three principal components of normal pears and black heart pears
Fig. 6. Comparison of actual categories and predicted categories in WT-AdaBoost model for ‘Yali' pear samples
Table 1. Sample set information
Table 2. confusion matrix for classification result
View tableView in ArticleTable 2. confusion matrix for classification result
真实情况 预测结果 正常梨 黑心梨 正常梨 TP FN 黑心梨 FP TN
Table 3. kNN model results of qualitative identification of ‘Yali' pears with different pretreatment methods
View tableView in ArticleTable 3. kNN model results of qualitative identification of ‘Yali' pears with different pretreatment methods
预处理方法 F-measure/% Accuracy/% Raw 77.38 80.00 Smooth 73.49 76.84 SNV 77.38 80.00 MSC 77.38 80.00 SG 1st-Der 72.11 78.42 WT 78.98 82.62
Table 4. NBC model results of qualitative identification of ‘Yali' pears with different pretreatment methods
View tableView in ArticleTable 4. NBC model results of qualitative identification of ‘Yali' pears with different pretreatment methods
预处理方法 F-measure/% Accuracy/% Raw 53.93 56.84 Smooth 53.93 56.84 SNV 53.93 56.84 MSC 54.02 57.89 SG 1st-Der 80.90 82.11 WT 68.57 71.05
Table 5. SVM model results of qualitative identification of ‘Yali' pears with different pretreatment methods
View tableView in ArticleTable 5. SVM model results of qualitative identification of ‘Yali' pears with different pretreatment methods
预处理方法 F-measure/% Accuracy/% Raw 85.19 87.37 Smooth 84.81 87.37 SNV 85.19 87.37 MSC 85.19 87.37 SG 1st-Der 56.52 68.42 WT 90.24 91.58
Table 6. AdaBoost qualitative identification results of ‘Yali' pears with different pretreatment methods
View tableView in ArticleTable 6. AdaBoost qualitative identification results of ‘Yali' pears with different pretreatment methods
预处理方法 F-measure/% Accuracy/% Raw 84.21 87.37 Smooth 84.42 87.37 SNV 85.88 87.37 MSC 83.23 85.79 SG 1st-Der 77.19 79.47 WT 91.46 92.63
Table 7. KNN, NBC, SVM and AdaBoost model test set prediction results
View tableView in ArticleTable 7. KNN, NBC, SVM and AdaBoost model test set prediction results
分类模型 F-measure
/%Accuracy
/%预测时间
估算*/sWT-kNN 79.52 82.11 0.04 SG 1st-Der-NBC 75.68 81.05 0.03 WT-SVM 88.61 90.53 0.04 WT-AdaBoost 90.91 92.63 0.12
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Yong HAO, Qi-ming WANG, Shu-min ZHANG. Study on Online Detection Method of “Yali” Pear Black Heart Disease Based on Vis-Near Infrared Spectroscopy and AdaBoost Integrated Model[J]. Spectroscopy and Spectral Analysis, 2021, 41(9): 2764
Paper Information
Category: Research Articles
Received: Aug. 1, 2020
Accepted: --
Published Online: Oct. 29, 2021
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