Spectroscopy and Spectral Analysis, Volume. 42, Issue 10, 3079(2022)
NIR Spectral Classification of Lettuce Using Principal Component Analysis Sort and Fuzzy Linear Discriminant Analysis
Figures & Tables(5)
Fig. 2. The accuracy changing with the weight coefficient (
(a):
Fig. 3. The accuracy changing with the number of cluster center (
Table 1. The first 6~15 eigenvectors and accuracies of PCA and PCA Sort
View tableView in ArticleTable 1. The first 6~15 eigenvectors and accuracies of PCA and PCA Sort
The number of
eigenvectorsPCA PCA Sort accuracy/% accuracy/% 6 48.33 78.33 7 61.67 88.33 8 83.33 86.67 9 75.00 85.00 10 81.67 88.33 11 85.00 95.00 12 78.33 93.33 13 76.67 90.00 14 76.67 96.67 15 83.33 98.33
Table 2. The highest accuracy of three methods
View tableView in ArticleTable 2. The highest accuracy of three methods
Algorithm Accuracy/% PCA+KNN 43 PCA+FLDA+KNN 83 PCA Sort+FLDA+KNN 98
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Bin WU, Jia-qi SHEN, Xin WANG, Xiao-hong WU, Xiao-lei HOU. NIR Spectral Classification of Lettuce Using Principal Component Analysis Sort and Fuzzy Linear Discriminant Analysis[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3079
Paper Information
Category: Research Articles
Received: Jul. 19, 2021
Accepted: Mar. 17, 2022
Published Online: Nov. 23, 2022
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