Article
Predicting moisture content during maize nixtamalization using machine learning with NIR spectroscopy.
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Nov 2021
Burns Michael J, Renk Jonathan S, Eickholt David P, Gilbert Amanda M, Hattery Travis J, Holmes Mark, Anderson Nickolas, Waters Amanda J, Kalambur Sathya, Flint-Garcia Sherry A, Yandeau-Nelson Marna D, Annor George A, Hirsch Candice N
Abstract excerpt
KEY MESSAGE: Moisture content during nixtamalization can be accurately predicted from NIR spectroscopy when coupled with a support vector machine (SVM) model, is strongly modulated by the environment, and has a complex genetic architecture. Lack of high-throughput phenotyping systems for determining moisture content during the maize nixtamalization cooking process has led to difficulty in breeding for this trait....
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