Research Article
An Adaptive Genetic Algorithm Optimizes Double-Hidden Layer BPNN for Rapid Detection of Moisture Content of Green Tea in Processing
Table 1
Information on the moisture content of green tea samples during the seven processing steps.
| Processing step | Range (%) | Average (%) | Standard deviation (%) | Number of samples |
| Fresh leaves | 74.11 ∼ 78.74 | 75.94 | 0.75 | 84 | Tedding | 65.03 ∼ 72.69 | 68.26 | 0.53 | 84 | Deenzyming | 48.43 ∼ 54.69 | 50.42 | 0.90 | 71 | Cooling and breezing | 44.98 ∼ 50.43 | 46.71 | 0.63 | 59 | Rolling | 46.86 ∼ 52.13 | 48.36 | 0.81 | 68 | First-step drying | 31.13 ∼ 35.67 | 32.94 | 0.47 | 53 | Second-step drying | 5.17 ∼ 10.94 | 7.28 | 0.34 | 43 |
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