A novel high-throughput hyperspectral scanner and analytical methods for predicting maize kernel composition and physical traits

Author:

Varela Jose I.,Miller Nathan D.,Infante Valentina,Kaeppler Shawn M.,de Leon Natalia,Spalding Edgar P.

Funder

National Science Foundation

U.S. Department of Agriculture

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference46 articles.

1. Partial Least Squares for Discrimination;Barker;Journal of Chemometrics.,2003

2. Corn Oil: Composition, Processing, and Utilization;Barrera-Arellano,2019

3. Development of a calibration to predict maize seed composition using single kernel near infrared spectroscopy;Baye;Journal of Cereal Science.,2006

4. Corn grain density characterized by two specific gravity techniques;Bergquist;Crop Science.,1992

5. PCAtools: Everything Principal Component Analysis;Blighe;R package version,2019

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