Using UAV hyperspectral imagery and deep learning for Object-Based quantitative inversion of Zanthoxylum rust disease index

Using UAV hyperspectral imagery and deep learning for Object-Based quantitative inversion of Zanthoxylum rust disease index

Zanthoxylum rust (ZR) poses a significant threat to Zanthoxylum bungeanum Maxim.(ZBM) production, impacting both the yield and quality. The lack of current research on ZR using unmanned aerial vehicle (UAV) remote sensing poses a challenge to achieving precise management of individual ZBM plant. Thi...

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Bibliographic Details
Main Authors: Kai Zhang, Jie Deng, Congying Zhou, Jiangui Liu, Xuan Lv, Ying Wang, Enhong Sun, Yan Liu, Zhanhong Ma, Jiali Shang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
UAV
Hyperspectral
Deep Learning
Quantitative Inversion
Zanthoxylum Rust
Disease index
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224006186
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http://www.sciencedirect.com/science/article/pii/S1569843224006186

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