Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery

Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery

The use of a low-cost five-band multispectral camera (RedEdge, MicaSense, USA) and a low-altitude airborne platform is investigated for the detection of plant stress caused by yellow rust disease in winter wheat for sustainable agriculture. The research is mainly focused on: (i) determining whether...

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Bibliographic Details
Main Authors: Jinya Su, Cunjia Liu, Matthew Coombes, Xiaoping Hu, Conghao Wang, Xiangming Xu, Qingdong Li, Lei Guo, Wen-Hua Chen
Format: Default Article
Published: 2018
Subjects:
Other engineering not elsewhere classified
Wheat yellow rust
Multispectral image
Spectral vegetation index (SVI)
Unmanned Aerial Vehicle (UAV)
Random forest
Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/35364
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https://hdl.handle.net/2134/35364

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