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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Xiangzhe Cheng, Yuyun Feng, Anting Guo, Wenjiang Huang, Zhiying Cai, Yingying Dong, Jing Guo, Binxiang Qian, Zhuoqing Hao, Guiliang Chen, Yixian Liu
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2023-12-01
سلاسل:	Remote Sensing
الموضوعات:	remote sensing rubber tree powdery mildew hyperspectral reflectance continuous wavelet transform machine learning random forest
الوصول للمادة أونلاين:	https://www.mdpi.com/2072-4292/16/1/105
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!