July 14, 2022
Development of Deep Learning Models for Amylose Estimation in Cereal Grains with Near-Infrared Spectroscopy
NIRS is a popular secondary analytical method that is being used for non-destructive quantification of compounds and mixtures in the agriculture and agri-food sector. The study aims to estimate the starch content (amylose and amylopectin) in rice samples with NIRS. A dataset is being established by obtaining NIRS spectra (400 to 2500 nm, 0.5 nm […]
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