Estimation of Mass Ratio of the Total Kernels within a Sample of In-Shell Peanuts Using RF Impedance Method
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 fac...
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2010/375430 |
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| author | Chari V. Kandala Jaya Sundaram |
| author_facet | Chari V. Kandala Jaya Sundaram |
| author_sort | Chari V. Kandala |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a9643bcfa8e64472b99b816160a16913 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
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| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-a9643bcfa8e64472b99b816160a169132025-02-03T05:52:40ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552010-01-01201010.1155/2010/375430375430Estimation of Mass Ratio of the Total Kernels within a Sample of In-Shell Peanuts Using RF Impedance MethodChari V. Kandala0Jaya Sundaram1USDA, Agricultural Research Service, National Peanut Research Laboratory, P.O. Box 509, 1011 Forrester Drive, Dawson, GA 39842, USAUSDA, Agricultural Research Service, National Peanut Research Laboratory, P.O. Box 509, 1011 Forrester Drive, Dawson, GA 39842, USAIt 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.http://dx.doi.org/10.1155/2010/375430 |
| spellingShingle | Chari V. Kandala Jaya Sundaram Estimation of Mass Ratio of the Total Kernels within a Sample of In-Shell Peanuts Using RF Impedance Method Journal of Electrical and Computer Engineering |
| title | Estimation of Mass Ratio of the Total Kernels within a Sample of In-Shell Peanuts Using RF Impedance Method |
| title_full | Estimation of Mass Ratio of the Total Kernels within a Sample of In-Shell Peanuts Using RF Impedance Method |
| title_fullStr | Estimation of Mass Ratio of the Total Kernels within a Sample of In-Shell Peanuts Using RF Impedance Method |
| title_full_unstemmed | Estimation of Mass Ratio of the Total Kernels within a Sample of In-Shell Peanuts Using RF Impedance Method |
| title_short | Estimation of Mass Ratio of the Total Kernels within a Sample of In-Shell Peanuts Using RF Impedance Method |
| title_sort | estimation of mass ratio of the total kernels within a sample of in shell peanuts using rf impedance method |
| url | http://dx.doi.org/10.1155/2010/375430 |
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