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Detection of Rubber Tree Powdery Mildew from Leaf Level Hyperspectral Data Using Continuous Wavelet Transform and Machine Learning

Powdery mildew is one of the most significant rubber tree diseases, with a substantial impact on the yield of natural rubber. This study aims to establish a detection approach that coupled continuous wavelet transform (CWT) and machine learning for the accurate assessment of powdery mildew severity...

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Principais autores: Xiangzhe Cheng, Yuyun Feng, Anting Guo, Wenjiang Huang, Zhiying Cai, Yingying Dong, Jing Guo, Binxiang Qian, Zhuoqing Hao, Guiliang Chen, Yixian Liu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-12-01
Serier:Remote Sensing
Fag:
remote sensing
rubber tree powdery mildew
hyperspectral reflectance
continuous wavelet transform
machine learning
random forest
Online adgang:https://www.mdpi.com/2072-4292/16/1/105
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