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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...

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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

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