Title
Identification of Wheat Varieties with a Parallel-Plate Capacitance Sensor Using Fisher’s Linear Discriminant Analysis
Abstract
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 (theta), measured at two frequencies. Classification of wheat varieties was obtained as output of the FLD models. Z and theta of a parallel-plate capacitance system, holding the wheat samples, were measured using an impedance meter, and the.. 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.
Year
DOI
Venue
2014
10.1155/2014/691898
JOURNAL OF SENSORS
Field
DocType
Volume
Analytical chemistry,Capacitance,Biological system,Electronic engineering,Electrical impedance,Capacitive sensing,Metre (music),Linear discriminant analysis,Engineering,Phase angle
Journal
2014
ISSN
Citations 
PageRank 
1687-725X
0
0.34
References 
Authors
0
5