Research Article
Discrimination of Fresh Tobacco Leaves with Different Maturity Levels by Near-Infrared (NIR) Spectroscopy and Deep Learning
Table 3
Discriminant accuracy (%) of different preprocessing methods.
| Preprocessing methods | KNN | BPNN | SVM | ELM | CNN |
| Raw | 55.33 | 77.05 ± 3.61 | 87.33 | 72.4 ± 3.25 | 92.35 ± 2.61 | First derivation | 85.33 | 88.32 ± 2.69 | 93.33 | 82.46 ± 4.44 | 95.84 ± 1.25 | Second derivation | 84.67 | 85.1 ± 2.54 | 92.67 | 80.24 ± 5.91 | 94.55 ± 1.65 | SNV | 74 | 86.67 ± 2.91 | 94 | 85.03 ± 3.43 | 94.36 ± 1.24 | MSC | 74 | 86.5 ± 2.52 | 93.33 | 84.49 ± 1.66 | 93.38 ± 1.42 |
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