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Article

Optimizing the procedure of grain nutrient predictions in barley via hyperspectral imaging.

PloS one - 1 Jan 2019

Wiegmann Mathias, Backhaus Andreas, Seiffert Udo, Thomas William T B, Flavell Andrew J, Pillen Klaus, Maurer Andreas

Abstract excerpt

Hyperspectral imaging enables researchers and plant breeders to analyze various traits of interest like nutritional value in high throughput. In order to achieve this, the optimal design of a reliable calibration model, linking the measured spectra with the investigated traits, is necessary. In the present study we investigated the impact of different regression models, calibration set sizes and calibration set...

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Identifiers

PMID: 31697705
DOI: 10.1371/journal.pone.0224491
PMCID: PMC6837513

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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