Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring

Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring

Soil moisture content (SMC) is an important factor that affects agricultural development in arid regions. Compared with the space-borne remote sensing system, the unmanned aerial vehicle (UAV) has been widely used because of its stronger controllability and higher resolution. It also provides a more...

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Bibliographic Details
Main Authors: Xiangyu Ge, Jingzhe Wang, Jianli Ding, Xiaoyi Cao, Zipeng Zhang, Jie Liu, Xiaohang Li
Format: Article
Language:English
Published: PeerJ Inc. 2019-05-01
Series:PeerJ
Subjects:
UAV
Precision farming
Hyperspectral imagery
Machine learning
Online Access:https://peerj.com/articles/6926.pdf

Internet

https://peerj.com/articles/6926.pdf

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