Identification of Wheat Varieties with a Parallel-Plate Capacitance Sensor Using Fisher’s Linear Discriminant Analysis
Joint Authors
Govindarajan, K. N.
Puppala, N.
Settaluri, V.
Reddy, R. S.
Kandala, Chari V.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-06
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Kandala, Chari V.& Govindarajan, K. N.& Puppala, N.& Settaluri, V.& Reddy, R. S.. 2014. Identification of Wheat Varieties with a Parallel-Plate Capacitance Sensor Using Fisher’s Linear Discriminant Analysis. Journal of Sensors،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1042974
Modern Language Association (MLA)
Kandala, Chari V.…[et al.]. Identification of Wheat Varieties with a Parallel-Plate Capacitance Sensor Using Fisher’s Linear Discriminant Analysis. Journal of Sensors No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-1042974
American Medical Association (AMA)
Kandala, Chari V.& Govindarajan, K. N.& Puppala, N.& Settaluri, V.& Reddy, R. S.. Identification of Wheat Varieties with a Parallel-Plate Capacitance Sensor Using Fisher’s Linear Discriminant Analysis. Journal of Sensors. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1042974
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042974