A Disease Index for Efficiently Detecting Wheat Fusarium Head Blight Using Sentinel-2 Multispectral Imagery-Reference-Cited by-同舟云学术

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A Disease Index for Efficiently Detecting Wheat Fusarium Head Blight Using Sentinel-2 Multispectral Imagery

Published:2020 Issue: Volume:8 Page:52181-52191
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Linyi^ORCID,Dong Yingying^ORCID,Huang Wenjiang,Du Xiaoping,Ren Binyuan,Huang Linsheng,Zheng Qiong,Ma Huiqin

Funder

National Basic Research Program of China

Chinese Academy of Sciences

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09034180.pdf?arnumber=9034180

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Monitoring Helicoverpa armigera Damage with PRISMA Hyperspectral Imagery: First Experience in Maize and Comparison with Sentinel-2 Imagery;Remote Sensing;2024-08-31

2. Farmers’ willingness to adopt precision agricultural technologies to reduce mycotoxin contamination in grain: evidence from grain farmers in Spain and Lithuania;Precision Agriculture;2024-07-22

3. Linking the Laboratory and the Field in Potato Early Dying Detection: From Spectral Signatures to Vegetation Indices Obtained with Multispectral Cameras Coupled to Drones;Agronomy;2024-07-19

4. Wheat Fusarium Head Blight Automatic Non-Destructive Detection Based on Multi-Scale Imaging: A Technical Perspective;Plants;2024-06-21

5. Early Detection of Rice Leaf Blast Disease Using Unmanned Aerial Vehicle Remote Sensing: A Novel Approach Integrating a New Spectral Vegetation Index and Machine Learning;Agronomy;2024-03-17

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