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

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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Bibliographic Details
Main Authors: Xiangzhe Cheng, Yuyun Feng, Anting Guo, Wenjiang Huang, Zhiying Cai, Yingying Dong, Jing Guo, Binxiang Qian, Zhuoqing Hao, Guiliang Chen, Yixian Liu
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
remote sensing
rubber tree powdery mildew
hyperspectral reflectance
continuous wavelet transform
machine learning
random forest
Online Access:https://www.mdpi.com/2072-4292/16/1/105

Internet

https://www.mdpi.com/2072-4292/16/1/105

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