Combination and comparison of multivariate analysis for the identification of orange varieties using visible and near infrared reflectance spectroscopy
- Author
- HAIYAN CEN1 ; YONG HE1 ; MIN HUANG1
[1] College of Biosystems Engineering and Food Science, Zhejiang University, 310029 Hangzhou, China - Source
European food research & technology (Print). 2007, Vol 225, Num 5-6, pp 699-705, 7 p ; ref : 23 ref
- ISSN
- 1438-2377
- Scientific domain
- Food science technology
- Publisher
- Springer, Berlin
/
Springer, Heidelberg
- Publication country
- Germany
- Document type
- Article
- Language
- English
- Author keyword
- Back propagation neural network Orange V s/NIRS S Partial least squares discriminant analysis Principal component analysis
- Keyword (fr)
- Analyse composante principale Analyse discriminante Analyse multivariable Identification Orange Propagation Réseau neuronal Spectrométrie IR proche Variété Agrume Fruit
- Keyword (en)
- Principal component analysis Discriminant analysis Multivariate analysis Identification Orange Propagation Neural network Near infrared spectrometry Variety Citrus fruit Fruit
- Keyword (es)
- Análisis componente principal Análisis discriminante Análisis multivariable Identificación Naranja Propagación Red neuronal Espectrometría IR próximo Variedad Agrios Fruto
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A35 Food industries / 002A35B Food industries / 002A35B09 Fruit and vegetable industries
- Discipline
- Agrifood industries
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19029158
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/s00217-006-0470-2 
https://dx.doi.org/10.1007/s00217-006-0470-2
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