Integration of UAV Multispectral Remote Sensing and Random Forest for Full-Growth Stage Monitoring of Wheat Dynamics

Integration of UAV Multispectral Remote Sensing and Random Forest for Full-Growth Stage Monitoring of Wheat Dynamics

Wheat is a key staple crop globally, essential for food security and sustainable agricultural development. The results of this study highlight how innovative monitoring techniques, such as UAV-based multispectral imaging, can significantly improve agricultural practices by providing precise, real-ti...

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Bibliographic Details
Main Authors: Donghui Zhang, Hao Qi, Xiaorui Guo, Haifang Sun, Jianan Min, Si Li, Liang Hou, Liangjie Lv
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Agriculture
Subjects:
UAV remote sensing
multispectral data
vegetation indices
random forest
precision agriculture
wheat growth monitoring
Online Access:https://www.mdpi.com/2077-0472/15/3/353
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