Estimation of grain quality parameters in rice for high‐throughput screening with near‐infrared spectroscopy and deep learning

Background and Objectives Grain quality is a complex trait in rice, compared with other staple crops as it is predominantly consumed as a whole grain. Although considered secondary to yield, to align with consumer preferences, breeders are increasingly interested in quality. At the early stages of a...

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Veröffentlicht in:	Cereal chemistry 2022-07, Vol.99 (4), p.907-919
Hauptverfasser:	Ravichandran, Prabahar, Viswanathan, Sadhasivam, Ravichandran, Sridhar, Pan, Ya‐Jun, Chang, Young K.
Format:	Artikel
Sprache:	eng
Schlagworte:	deep learning grain quality NIR spectroscopy plant breeding rice
Online-Zugang:	Volltext
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