Non−Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy

Hyperspectral technology offers significant potential for non-invasive monitoring and prediction of morphological parameters in plants. In this study, UV−VIS−NIR−SWIR reflectance hyperspectral data were collected from Nicotiana tabacum L. plants using a spectroradiometer. These plants were grown und...

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Detalles Bibliográficos
Autores principales: Falcioni, Renan, dos Santos, Glaucio Leboso Alemparte Abrantes, Crusiol, Luis Guilherme Teixeira, Antunes, Werner Camargos, Chicati, Marcelo Luiz, de Oliveira, Roney Berti, Demattê, José A. M., Nanni, Marcos Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347113/
https://www.ncbi.nlm.nih.gov/pubmed/37447089
http://dx.doi.org/10.3390/plants12132526

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347113/
https://www.ncbi.nlm.nih.gov/pubmed/37447089
http://dx.doi.org/10.3390/plants12132526

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