Relationships Between Oat Phenotypes and UAV Multispectral Imagery Under Different Water Deficit Conditions by Structural Equation Modelling

Relationships Between Oat Phenotypes and UAV Multispectral Imagery Under Different Water Deficit Conditions by Structural Equation Modelling

The prediction of soil moisture conditions using multispectral data from unmanned aerial vehicles (UAVs) has advantages over ground measurements in terms of costs and monitoring range. However, the prediction accuracy for moisture conditions using spectral data alone is low. In this study, relations...

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Bibliographic Details
Main Authors: Yayang Feng, Guoshuai Wang, Jun Wang, Hexiang Zheng, Xiangyang Miao, Xiulu Sun, Peng Li, Yan Li, Yanhui Jia
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agronomy
Subjects:
oat phenotype
water deficit
UAV multispectral imagery
vegetation index
structural equation model (SEM)
Online Access:https://www.mdpi.com/2073-4395/15/6/1389
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