UAV Remote Sensing Technology for Wheat Growth Monitoring in Precision Agriculture: Comparison of Data Quality and Growth Parameter Inversion

UAV Remote Sensing Technology for Wheat Growth Monitoring in Precision Agriculture: Comparison of Data Quality and Growth Parameter Inversion

The quality of the image data and the potential to invert crop growth parameters are essential for effectively using unmanned aerial vehicle (UAV)-based sensor systems in precision agriculture (PA). However, the existing research falls short in providing a comprehensive examination of sensor data qu...

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Bibliographic Details
Main Authors: Jikai Liu, Weiqiang Wang, Jun Li, Ghulam Mustafa, Xiangxiang Su, Ying Nian, Qiang Ma, Fengxian Zhen, Wenhui Wang, Xinwei Li
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agronomy
Subjects:
image quality assessment
growth parameters inversion
machine learning models
UAV-based sensors
precision agriculture
Online Access:https://www.mdpi.com/2073-4395/15/1/159
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