Potential of Hyperspectral and Thermal Proximal Sensing for Estimating Growth Performance and Yield of Soybean Exposed to Different Drip Irrigation Regimes Under Arid Conditions

Proximal hyperspectral sensing tools could complement and perhaps replace destructive traditional methods for accurate estimation and monitoring of various morpho-physiological plant indicators. In this study, we assessed the potential of thermal imaging (TI) criteria and spectral reflectance indice...

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Detalles Bibliográficos
Autores principales: Elmetwalli, Adel H., El-Hendawy, Salah, Al-Suhaibani, Nasser, Alotaibi, Majed, Tahir, Muhammad Usman, Mubushar, Muhammad, Hassan, Wael M., Elsayed, Salah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698533/
https://www.ncbi.nlm.nih.gov/pubmed/33213009
http://dx.doi.org/10.3390/s20226569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698533/
https://www.ncbi.nlm.nih.gov/pubmed/33213009
http://dx.doi.org/10.3390/s20226569

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