Hyperspectral imaging detection of decayed honey peaches based on their chlorophyll content-Reference-Cited by-同舟云学术

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Hyperspectral imaging detection of decayed honey peaches based on their chlorophyll content

Published:2017-11 Issue: Volume:235 Page:194-202
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Sun Ye,Wang Yihang,Xiao Hui,Gu Xinzhe,Pan Leiqing,Tu Kang

Funder

Chinese National Foundation of Nature and Science

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference40 articles.

1. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis;Araújo;Chemometrics and Intelligent Laboratory Systems,2001

2. Supervised classification of bruised apples with respect to the time after bruising on the basis of hyperspectral imaging data;Baranowski;Postharvest Biology and Technology,2013

3. How light interacts with foods;Birth,1976

4. A method for prediction by combining data analysis and neural networks: Application to prediction of apple quality using near infrared spectra;Bochereau;Journal of Agricultural Engineering Research,1992

5. Physiological and anatomical features of the silvering disorder of cucurbita;Burger;Journal of Horticultural Science,1988

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