Kernel PLS regression on wavelet transformed NIR spectra for prediction of sugar content of apple
By B. Nicolai, K. Theron, Jeroen Lammertyn. 2007
142 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Industrial and Manufacturing Engineering, Plant Science
View Paper: https://www.semanticscholar.org/paper/03c633691cc9fd743ef0c81247ce14fc5c605019
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In Analytical Chemistry
- Chunjiang Zhao
- Wenqian Huang
- Wouter Saeys
- Shuxiang Fan
- Umezuruike Linus Opara
- Liping Chen
- Jiangbo Li
In Plant Science
Citations in the corpus
- NIR Spectroscopy Applications for Internal and External Quality Analysis of Citrus Fruit—A Review (2012, methodology): “The method is based on LV like PCA and PCR. Nicolaï et al. (2007a) stated that “unlike PCR in which the LVs are selected so as to explain as much variance of X as possible with only a limited LV, in PLS the LVs are selected in such a way that the covariance between X and Y is maximal”.”
- Variable Selection in Visible and Near-Infrared Spectral Analysis for Noninvasive Determination of Soluble Solids Content of ‘Ya’ Pear (2014, methodology): “…that the model can discriminate low from high values of the response variable; a value between 2 and 2.5 indicates that coarse quantitative predictions are possible, and a value between 2.5 and 3 or above corresponds to good and excellent prediction accuracy, respectively (Nicolaï et al. 2007b).”