Identification of wheat classes at different moisture levels using near-infrared hyperspectral images of bulk samples

By S. Mahesh, D. S. Jayas, Jitendra Paliwal, N. White. 2011

57 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biophysics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/42cb3a9237fb0023161020b6e45c95e5bc5d370f

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In Analytical Chemistry

1. Digvir S. Jayas
2. Jitendra Paliwal
3. N. White
4. S. Mahesh
5. Da‐Wen Sun
6. Hongbin Pu

In Biophysics

1. Digvir S. Jayas
2. Jitendra Paliwal
3. N. White
4. S. Mahesh
5. Da‐Wen Sun

In Molecular Biology

1. Digvir S. Jayas
2. N. White
3. Jitendra Paliwal
4. S. Mahesh
5. Da‐Wen Sun

Citations in the corpus

• 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): “Near-Infrared Hyperspectral Imaging System and Image Acquisition Procedures In this study, the NIR hyperspectral imaging system reported by Mahesh et al. (2008, 2011, 2014) and Singh et al. (2009) was used and is described below for enhanced readability of this manuscript.”