Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning

BACKGROUND: The need for rapid in-field measurement of key traits contributing to yield over many thousands of genotypes is a major roadblock in crop breeding. Recently, leaf hyperspectral reflectance data has been used to train machine learning models using partial least squares regression (PLSR) t...

Descripción completa

Detalles Bibliográficos
Autores principales: Furbank, Robert T., Silva-Perez, Viridiana, Evans, John R., Condon, Anthony G., Estavillo, Gonzalo M., He, Wennan, Newman, Saul, Poiré, Richard, Hall, Ashley, He, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527791/
https://www.ncbi.nlm.nih.gov/pubmed/34666801
http://dx.doi.org/10.1186/s13007-021-00806-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527791/
https://www.ncbi.nlm.nih.gov/pubmed/34666801
http://dx.doi.org/10.1186/s13007-021-00806-6

Ejemplares similares