FT-MIR and NIR spectral data fusion: a synergetic strategy for the geographical traceability of Panax notoginseng.

about

FT-MIR and NIR spectral data fusion: a synergetic strategy for the geographical traceability of Panax notoginseng.

Item

http://www.wikidata.org/entity/Q47587425

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh-hant

name

FT-MIR and NIR spectral data f ...... eability of Panax notoginseng.

@en

FT-MIR and NIR spectral data f ...... eability of Panax notoginseng.

@nl

type

Item

label

FT-MIR and NIR spectral data f ...... eability of Panax notoginseng.

@en

FT-MIR and NIR spectral data f ...... eability of Panax notoginseng.

@nl

prefLabel

FT-MIR and NIR spectral data f ...... eability of Panax notoginseng.

@en

FT-MIR and NIR spectral data f ...... eability of Panax notoginseng.

@nl

P1476

FT-MIR and NIR spectral data f ...... ceability of Panax notoginseng

@en

P2093

Jin-Yu Zhang

http://www.w3.org/2001/XMLSchema#string

Yuan-Zhong Wang

http://www.w3.org/2001/XMLSchema#string

P2860

Random Forests

Data-fusion for multiplatform characterization of an Italian craft beer aimed at its authentication.

Synergistic effect of the simultaneous chemometric analysis of ¹H NMR spectroscopic and stable isotope (SNIF-NMR, ¹⁸O, ¹³C) data: application to wine analysis.

Analysis of multi-source metabolomic data using joint and individual variation explained (JIVE).

Data fusion methodologies for food and beverage authentication and quality assessment - a review.

Data fusion between high resolution (1)H-NMR and mass spectrometry: a synergetic approach to honey botanical origin characterization.

Data dimensionality reduction and data fusion for fast characterization of green coffee samples using hyperspectral sensors.

Data fusion of near-infrared and mid-infrared spectra for identification of rhubarb.

FT-Raman and NIR spectroscopy data fusion strategy for multivariate qualitative analysis of food fraud.

Geographical traceability of wild Boletus edulis based on data fusion of FT-MIR and ICP-AES coupled with data mining methods (SVM).

P2888

s00216-017-0692-0

P304

91-103

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1007/S00216-017-0692-0

http://www.w3.org/2001/XMLSchema#string

P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

410

http://www.w3.org/2001/XMLSchema#string

P50

Yun Li

P577

2017-11-16T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

29143877

http://www.w3.org/2001/XMLSchema#string