A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds

A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds

This study investigated the possibility of using visible and near-infrared (VIS/NIR) hyperspectral imaging techniques to discriminate viable and non-viable wheat seeds. Both sides of individual seeds were subjected to hyperspectral imaging (400–1000 nm) to acquire reflectance spectral data. Four spe...

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Bibliographic Details
Main Authors: Tingting Zhang, Wensong Wei, Bin Zhao, Ranran Wang, Mingliu Li, Liming Yang, Jianhua Wang, Qun Sun
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Sensors
Subjects:
hyperspectral imaging
seed viability
dataset
PLS-DA
SVM
Online Access:http://www.mdpi.com/1424-8220/18/3/813

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