Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds

Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds

Hyperspectral imaging in the visible and near infrared (VIS-NIR) region was used to develop a novel method for discriminating different varieties of commodity maize seeds. Firstly, hyperspectral images of 330 samples of six varieties of maize seeds were acquired using a hyperspectral imaging system...

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Bibliographic Details
Main Authors: Xiaolei Zhang, Fei Liu, Yong He, Xiaoli Li
Format: Article
Language:English
Published: MDPI AG 2012-12-01
Series:Sensors
Subjects:
maize seed
variety identification
hyperspectral imaging
principal component analysis
kernel principal component analysis
gray-level co-occurrence
least squares-support vector machine
back propagation neural network
Online Access:http://www.mdpi.com/1424-8220/12/12/17234

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http://www.mdpi.com/1424-8220/12/12/17234

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