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首页> 外文期刊>Journal of electrical and computer engineering >Estimation of Mass Ratio of the Total Kernels within a Sample of In-Shell Peanuts Using RF Impedance Method
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Estimation of Mass Ratio of the Total Kernels within a Sample of In-Shell Peanuts Using RF Impedance Method

机译:使用射频阻抗法估算带壳花生样品中总仁的质量比

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It would be useful to know the total kernel mass within a given mass of peanuts (mass ratio) while the peanuts are bought or being processed. In this work, the possibility of finding the mass ratio while the peanuts were in their shells was investigated. Capacitance, phase angle, and dissipation factor measurements on a parallel-plate capacitor holding in-shell peanut samples were made at frequencies from 1 to 10 MHz insteps of 1 MHz. A calibration equation was developed by multilinear regression analysis correlating the percentage ratio of the kernel weight with the measured capacitance, dissipation factor, and phase angle values of in-shell peanut samples with known kernel weights. The equation was used to predict the percentage mass ratio in the validation groups. Fitness of calibration model was verified using standard error of calibration, root mean square error of calibration, and leverage and influence plots. The predictability percentage, within 1% and 2% of the visual determination, was calculated by comparing the kernel mass ratio, obtained by the model equation and the reference value obtained by visual determination. Cross-validation gave 96% and 100% predictability, and external validation gave 87% and 98% predictability within 1% and 2% difference, respectively.
机译:在购买或加工花生时,了解给定质量的花生中的总籽粒质量(质量比)将很有用。在这项工作中,研究了当花生在壳中时发现质量比的可能性。在容纳壳内花生样品的平行板电容器上,以1 MHz为步长,在1至10 MHz的频率上进行了电容,相角和耗散因数的测量。通过多线性回归分析开发了一个校准方程,该方程将果仁重量的百分比比与已知果仁重量的带壳花生样品的测得电容,耗散因子和相角值相关联。该公式用于预测验证组中的质量百分比。使用校准的标准误差,校准的均方根误差以及杠杆和影响图来验证校准模型的适用性。通过比较通过模型方程获得的籽粒质量比与通过视觉确定获得的参考值,计算得出视觉确定性的1%和2%以内的可预测性百分比。交叉验证可提供96%和100%的可预测性,而外部验证可提供87%和98%的可预测性,分别相差1%和2%。

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  • 来源
    《Journal of electrical and computer engineering 》 |2010年第1期| p.375430.1-375430.5| 共5页
  • 作者单位

    Usda, Agricultural Research Service, National Peanut Research Laboratory, P.O. Box 509,1011 Forrester Drive, Dawson, GA 39842, USA;

    USDA, Agricultural Research Service, National Peanut Research Laboratory, P.O. Box 509,1011 Forrester Drive, Dawson, GA 39842, USA;

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