Bayesian modelling of phosphorus content in wheat grain using hyperspectral reflectance data

BACKGROUND: As a result of the technological progress, the use of sensors for crop survey has substantially increased, generating valuable information for modelling agricultural data. Plant spectroscopy jointly with statistical modeling can potentially help to assess certain chemical components of i...

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Detalles Bibliográficos
Autores principales: Pacheco-Gil, Rosa Angela, Velasco-Cruz, Ciro, Pérez-Rodríguez, Paulino, Burgueño, Juan, Pérez-Elizalde, Sergio, Rodrigues, Francelino, Ortiz-Monasterio, Ivan, del Valle-Paniagua, David Hebert, Toledo, Fernando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854047/
https://www.ncbi.nlm.nih.gov/pubmed/36670477
http://dx.doi.org/10.1186/s13007-023-00980-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854047/
https://www.ncbi.nlm.nih.gov/pubmed/36670477
http://dx.doi.org/10.1186/s13007-023-00980-9

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