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

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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Bibliographic Details
Main Authors: Adel H. Elmetwalli, Salah El-Hendawy, Nasser Al-Suhaibani, Majed Alotaibi, Muhammad Usman Tahir, Muhammad Mubushar, Wael M. Hassan, Salah Elsayed
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
canopy water mass
crop phenotyping
2-D correlograms CWSI
growth stages
NRCT
visible/near-infrared spectroscopy
Online Access:https://www.mdpi.com/1424-8220/20/22/6569

Internet

https://www.mdpi.com/1424-8220/20/22/6569

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