Rapid spectral analysis of agro-products using an optimal strategy: dynamic backward interval PLS–competitive adaptive reweighted sampling

A novel strategy of variable selection approach named dynamic backward interval partial least squares–competitive adaptive reweighted sampling (DBiPLS-CARS) was proposed in this study. Near-infrared data sets of three different agro-products, namely corn, crop processing lamina, and plant leaf sampl...

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Vydané v:	Analytical and bioanalytical chemistry Ročník 412; číslo 12; s. 2795 - 2804
Hlavní autori:	Song, Xiangzhong, Du, Guorong, Li, Qianqian, Tang, Guo, Huang, Yue
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2020 Springer Springer Nature B.V
Predmet:	Adaptive sampling Algorithms Analytical Chemistry Biochemistry Business competition Cereal crops Characterization and Evaluation of Materials Chemistry Chemistry and Materials Science corn crop residues Crops, Agricultural - chemistry data collection Food Science Laboratory Medicine leaves Monitoring/Environmental Analysis Monte Carlo Method Plant Leaves - chemistry prediction processing residues rapid methods Regression analysis Research Paper Sampling Spectral analysis Spectroscopy, Near-Infrared - methods Spectrum analysis Zea mays - chemistry China Monte Carlo uninformative variable elimination (MCUVE) Dynamic backward interval partial least squares (DBiPLS) Competitive adaptive reweighted sampling (CARS) Variable selection Agro-products
ISSN:	1618-2642, 1618-2650, 1618-2650
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