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Estimation of kernels mass ratio to total in-shell peanuts using low- cost RF Impedance meter

机译:使用低成本RF阻抗计估算籽粒质量与总带壳花生的质量比

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In this study percentage of total kernel mass within a given mass of in-shell peanuts was determined nondestructively using a low-cost RF impedance meter. Peanut samples were divided into two groups, one the calibration and the other the validation group. Each group contained SO samples of about 100 g of peanuts. Capacitance ?, phase angle (6) and impedance (Z) measurements on in-shell peanut samples were made at frequencies 1 MHz, 5 MHz and 9 MHz. Ten measurements on each sample set were made, to minimize the errors due to the orientation of the peanuts as they settle between the electrodes of the impedance meter, by emptying and refilling the samples after each measurement. After completing the measurements on each set, the peanuts from that set were shelled, kernels were separated and weighed. Multi linear regression (MLR) calibration equation was developed by correlating the percentage of the kernel mass in a given peanut sample set with the measured capacitance, impedance and phase angle values. This equation was used to predict the kernel mass ratio of the samples from the validation group. The fitness of the MLR equation was verified using Standard Error of Prediction (SEP) and Root Mean Square Error of Prediction (RMSEP). Also, the predictability of total kernel mass ratio was calculated by comparing the mass ratio predicted using MLR model with the actual mass ratio determined using the conventional standard method of visual determination.
机译:在这项研究中,使用低成本RF阻抗计无损确定了给定的带壳花生质量中总仁量的百分比。花生样品分为两组,一组为校准组,另一组为验证组。每组包含约100克花生的SO样品。在1 MHz,5 MHz和9 MHz的频率下对带壳花生样品的电容α,相角(6)和阻抗(Z)进行了测量。在每个样品组上进行十次测量,以在每次测量后清空并重新填充样品,以将由于花生落入阻抗计的电​​极之间而导致的取向误差降至最低。在完成对每组花生的测量后,将其去壳后的花生去壳,将果仁分离并称重。通过将给定花生样品集中的籽粒质量百分比与测得的电容,阻抗和相角值相关联,建立了多元线性回归(MLR)校准方程。该方程用于预测验证组样品的籽粒质量比。使用标准预测误差(SEP)和预测均方根误差(RMSEP)验证了MLR方程的适用性。另外,通过将使用MLR模型预测的质量比与使用常规目视测定的标准方法确定的实际质量比进行比较,计算出总籽粒质量比的可预测性。

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