Identification of Wheat Varieties with a Parallel-Plate Capacitance Sensor Using Fisher’s Linear Discriminant Analysis

Authors

C. V. K. Kandala, United States Department of AgricultureFollow
George Meyer, University of Nebraska - LincolnFollow
N. Puppala, New Mexico State University
V. Settaluri, K.L. University
R. S. Reddy, K.L. University

Date of this Version

2-6-2014

Citation

2014 C. V. K. Kandala et al.

Comments

Hindawi Publishing Corporation Journal of Sensors Volume 2014, Article ID 691898, 5 pages http://dx.doi.org/10.1155/2014/691898

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 (𝜃), measured at two frequencies. Classification of wheat varieties was obtained as output of the FLDmodels.𝑍and 𝜃of a parallel-plate capacitance system,holding thewheat samples, weremeasured 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.