Prediction of soluble solids content of apple using the combination of spectra and textural features of hyperspectral reflectance imaging data-Reference-Cited by-同舟云学术

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Prediction of soluble solids content of apple using the combination of spectra and textural features of hyperspectral reflectance imaging data

Published:2016-11 Issue: Volume:121 Page:51-61
ISSN:0925-5214
Container-title:Postharvest Biology and Technology
language:en
Short-container-title:Postharvest Biology and Technology

Author:

Fan Shuxiang,Zhang Baohua,Li Jiangbo,Liu Chen,Huang Wenqian,Tian Xi

Funder

National Natural Science Foundation of China

Beijing Nova program

Publisher

Elsevier BV

Subject

Horticulture,Agronomy and Crop Science,Food Science

Reference37 articles.

1. A comparison of nine PLS1 algorithms;Andersson;J. Chemom.,2009

2. Application of hyperspectral imaging for prediction of physico-chemical and sensory characteristics of table grapes;Baiano;Comput. Electron. Agric.,2012

3. Testing of a vis-nir system for the monitoring of long-term apple storage;Beghi;Food Bioprocess Technol.,2014

4. Data handling in hyperspectral image analysis;Burger;Chemom. Intell. Lab. Syst.,2011

5. A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra;Cai;Chemom. Intell. Lab. Syst.,2008

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