Spatiotemporal Winter Wheat Water Status Assessment Improvement Using a Water Deficit Index Derived from an Unmanned Aerial System in the North China Plain

Spatiotemporal Winter Wheat Water Status Assessment Improvement Using a Water Deficit Index Derived from an Unmanned Aerial System in the North China Plain

Agricultural droughts cause a great reduction in winter wheat productivity; therefore, timely and precise irrigation recommendations are needed to alleviate the impact. This study aims to assess drought stress in winter wheat with the use of an unmanned aerial system (UAS) with multispectral and the...

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Bibliographic Details
Main Authors: Vita Antoniuk, Xiying Zhang, Mathias Neumann Andersen, Kirsten Kørup, Kiril Manevski
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
water deficit index
evapotranspiration
UAV
fraction of transpirable soil water
irrigation requirements
Online Access:https://www.mdpi.com/1424-8220/23/4/1903

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