Determining Vitreousness of Durum Wheat Kernels Using near Infrared Hyperspectral Imaging
By Nathalie Gorretta, Jean-Michel Roger, M. Aubert, V. Bellon-Maurel, F. Campan, P. Roumet. 2006
53 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Biophysics
View Paper: https://www.semanticscholar.org/paper/292f00e386dd93a663427259464c6b9f7142ce8a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
- Digvir S. Jayas
- Jitendra Paliwal
- N. White
- S. Mahesh
- M. Whitworth
- Nicola Caporaso
- Ian D Fisk
- Da‐Wen Sun
In Biophysics
- Digvir S. Jayas
- Jitendra Paliwal
- N. White
- S. Mahesh
- M. Whitworth
- Nicola Caporaso
- Ian D Fisk
- Da‐Wen Sun
Citations in the corpus
- Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains (2018, methodology): “range 650–1100 nm and visual inspection as the reference method (35).”
- Comparison of Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) Methods for Protein and Hardness Predictions using the Near-Infrared (NIR) Hyperspectral Images of Bulk Samples of Canadian Wheat (2014, methodology): “Gorretta et al. (2006) determined the vitreousness of durum wheat using discriminant analysis of latent variables.”