基于近红外光谱的大豆茎秆化学组分含量检测模型构建与应用
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李佳佳,洪慧龙,万明月,储丽,赵敬会,汪明华,徐志鹏,张阴,黄志平,张文明,王晓波,邱丽娟
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Construction and Application of Detection Model for the Chemical Composition Content of Soybean Stem Based on Near Infrared Spectroscopy
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JiaJia LI,HuiLong HONG,MingYue WAN,Li CHU,JingHui ZHAO,MingHua WANG,ZhiPeng XU,Yin ZHANG,ZhiPing HUANG,WenMing ZHANG,XiaoBo WANG,LiJuan QIU
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表2 常规法测定值和近红外模型预测值结果比较
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Table 2 Comparison of results between measured values by conventional method and predicted values by near infrared model
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序号 No. | 测定值(常规方法) Value (Conventional) (%) | 预测值 Predicted value (%) | 常规测定值与预测值差异 Difference of value | ADF | NDF | CF | ADF | NDF | CF | ADF | NDF | CF | 1 | 35.27 | 62.22 | 43.42 | 36.99 | 59.35 | 43.91 | -1.72 | 2.87 | -0.50 | 2 | 34.45 | 59.28 | 42.00 | 36.08 | 59.32 | 43.33 | -1.63 | -0.04 | -1.34 | 3 | 39.75 | 61.47 | 47.68 | 40.20 | 62.25 | 48.03 | -0.45 | -0.78 | -0.35 | 4 | 42.97 | 63.45 | 49.03 | 42.66 | 65.21 | 49.73 | 0.31 | -1.76 | -0.70 | 5 | 41.56 | 64.47 | 49.47 | 43.07 | 64.96 | 50.14 | -1.51 | -0.49 | -0.67 | 6 | 41.10 | 59.06 | 45.97 | 42.80 | 60.32 | 47.47 | -1.70 | -1.26 | -1.51 | 7 | 42.51 | 61.30 | 45.92 | 40.94 | 61.68 | 44.90 | 1.58 | -0.38 | 1.02 | 8 | 30.27 | 51.91 | 36.98 | 31.80 | 51.00 | 37.12 | -1.54 | 0.91 | -0.14 | 9 | 47.70 | 71.70 | 54.58 | 45.87 | 71.45 | 53.81 | 1.83 | 0.24 | 0.77 | 10 | 40.82 | 66.99 | 48.17 | 41.85 | 66.06 | 48.85 | -1.03 | 0.94 | -0.68 | 11 | 39.80 | 67.31 | 50.49 | 40.70 | 64.82 | 50.10 | -0.90 | 2.50 | 0.38 | 12 | 35.99 | 62.31 | 44.44 | 37.89 | 62.42 | 46.08 | -1.90 | -0.11 | -1.64 | 13 | 43.47 | 64.96 | 48.86 | 42.14 | 64.55 | 48.02 | 1.32 | 0.41 | 0.84 | 14 | 37.53 | 62.68 | 44.71 | 37.84 | 61.61 | 44.37 | -0.31 | 1.07 | 0.34 | 15 | 42.25 | 68.34 | 48.15 | 42.62 | 68.30 | 49.84 | -0.37 | 0.04 | -1.69 | 16 | 41.19 | 69.23 | 49.84 | 41.81 | 68.95 | 49.79 | -0.62 | 0.29 | 0.05 |
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