Diagnosis of the Severity of Fusarium Head Blight of Wheat Ears on the Basis of Image and Spectral Feature Fusion
<i>Fusarium</i> head blight (FHB), one of the most prevalent and damaging infection diseases of wheat, affects quality and safety of associated food. In this study, to realize the early accurate monitoring of FHB, a diagnostic model of disease severity was proposed based on the fusion fe...
Main Authors: | Linsheng Huang, Taikun Li, Chuanlong Ding, Jinling Zhao, Dongyan Zhang, Guijun Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/10/2887 |
Similar Items
-
Wheat Fusarium Head Blight Detection Using UAV-Based Spectral and Texture Features in Optimal Window Size
by: Yingxin Xiao, et al.
Published: (2021-06-01) -
Identification of Fusarium Head Blight in Winter Wheat Ears Based on Fisher’s Linear Discriminant Analysis and a Support Vector Machine
by: Linsheng Huang, et al.
Published: (2019-09-01) -
Development and Evaluation of a New Spectral Disease Index to Detect Wheat Fusarium Head Blight Using Hyperspectral Imaging
by: Dongyan Zhang, et al.
Published: (2020-04-01) -
Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning
by: Ghulam Mustafa, et al.
Published: (2022-06-01) -
Detection of wheat Fusarium head blight using UAV-based spectral and image feature fusion
by: Hansu Zhang, et al.
Published: (2022-09-01)