A deep learning-based approach for automated yellow rust disease detection from high-resolution hyperspectral UAV images

A deep learning-based approach for automated yellow rust disease detection from high-resolution hyperspectral UAV images

Yellow rust in winter wheat is a widespread and serious fungal disease, resulting in significant yield losses globally. Effective monitoring and accurate detection of yellow rust are crucial to ensure stable and reliable wheat production and food security. The existing standard methods often rely on...

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Bibliographic Details
Main Authors: Xin Zhang, Liangxiu Han, Yingying Dong, Yue Shi, Wenjiang Huang, Lianghao Han, Pablo Gonzalez-Moreno, Huiqin Ma, Huichun Ye, Tam Sobeih
Format: Default Article
Published: 2019
Subjects:
Other information and computing sciences not elsewhere classified
Winter wheat
Yellow rust
Crop disease
Unmanned aerial vehicle;
Hyperspectral
Deep learning
Classification
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/38215
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https://hdl.handle.net/2134/38215

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