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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Detalles Bibliográficos
Autores principales: Ting, To-Chia, Souza, Augusto C. M., Imel, Rachel K., Guadagno, Carmela R., Hoagland, Chris, Yang, Yang, Wang, Diane R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548215/
https://www.ncbi.nlm.nih.gov/pubmed/37799551
http://dx.doi.org/10.3389/fpls.2023.1229161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548215/
https://www.ncbi.nlm.nih.gov/pubmed/37799551
http://dx.doi.org/10.3389/fpls.2023.1229161

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