Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning

Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning

Hyperspectral reflectance (HR) technology as proxy approach to diagnose fusarium head blight (FHB) in wheat crop could be a real-time and non-invasive approach for its in-field management to reduce grain damage. In-field canopy’s non-imaging HR (400–2400 nm using ground-based spectrometer system), p...

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Bibliographic Details
Main Authors: Ghulam Mustafa, Hengbiao Zheng, Imran Haider Khan, Long Tian, Haiyan Jia, Guoqiang Li, Tao Cheng, Yongchao Tian, Weixing Cao, Yan Zhu, Xia Yao
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
wheat
fusarium head blight
hyperspectral reflectance
consistent feature selection
indices development
machine learning classifiers
Online Access:https://www.mdpi.com/2072-4292/14/12/2784

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https://www.mdpi.com/2072-4292/14/12/2784

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