Recognition of the hardness of licorice seeds using a semi-supervised learning method and near-infrared spectral data-Reference-Cited by-同舟云学术

Recognition of the hardness of licorice seeds using a semi-supervised learning method and near-infrared spectral data

Published:2012-05 Issue: Volume:114 Page:109-115
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Yang Liming,Sun Qun

Funder

Chinese Universities Scientific Fund

Research Projects of Teachers

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference20 articles.

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3. Measurement of moisture and oil content in gross cottonseed based on near-infrared reflectance technique by open detecting mode;Zhang;Spectroscopy Spectral Analysis,2007

4. Rapid determination of fatty acids in soybeans by FT-near-infrared reflectance spectroscopy;Sun;Spectroscopy Spectral Analysis.,2008

5. Identification of hardness of licorice single seed using near infrared spectroscopy;Sun;Spectroscopy Spectral Analysis.,2009

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