Identification of Wheat Varieties with a Parallel-Plate Capacitance Sensor Using Fisher’s Linear Discriminant Analysis
Fisher’s linear discriminant (FLD) models for wheat variety classification were developed and validated. The inputs to the FLD models were the capacitance ( C ), impedance ( Z ), and phase angle ( θ ), measured at two frequencies. Classification of wheat varieties was obtained as output of the FLD m...
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Published in | Journal of sensors Vol. 2014; no. 2014; pp. 1 - 5 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Cairo, Egypt
Hindawi Publishing Corporation
01.01.2014
Hindawi Limited |
Subjects | |
Online Access | Get full text |
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Summary: | Fisher’s linear discriminant (FLD) models for wheat variety classification were developed and validated. The inputs to the FLD models were the capacitance ( C ), impedance ( Z ), and phase angle ( θ ), measured at two frequencies. Classification of wheat varieties was obtained as output of the FLD models. Z and θ of a parallel-plate capacitance system, holding the wheat samples, were measured using an impedance meter, and the C value was computed. The best model developed classified the wheat varieties, with accuracy of 95.4%, over the six wheat varieties tested. This method is simple, rapid, and nondestructive and would be useful for the breeders and the peanut industry. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1687-725X 1687-7268 |
DOI: | 10.1155/2014/691898 |