Quantifying physiological trait variation with automated hyperspectral imaging in rice

Quantifying physiological trait variation with automated hyperspectral imaging in rice

Advancements in hyperspectral imaging (HSI) together with the establishment of dedicated plant phenotyping facilities worldwide have enabled high-throughput collection of plant spectral images with the aim of inferring target phenotypes. Here, we test the utility of HSI-derived canopy data, which we...

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Bibliographic Details
Main Authors: To-Chia Ting, Augusto C. M. Souza, Rachel K. Imel, Carmela R. Guadagno, Chris Hoagland, Yang Yang, Diane R. Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Plant Science
Subjects:
Oryza sativa
genetic diversity
growth traits
high-throughput phenotyping
nitrogen
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1229161/full

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