Roles of Physiological and Nonphysiological Information in Sun-Induced Chlorophyll Fluorescence Variations for Detecting Cotton Verticillium Wilt-Reference-Cited by-同舟云学术

Roles of Physiological and Nonphysiological Information in Sun-Induced Chlorophyll Fluorescence Variations for Detecting Cotton Verticillium Wilt

Published:2024 Issue: Volume:17 Page:8835-8850
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhou Junru¹^ORCID,Huang Changping¹^ORCID,Gui Yaohui¹^ORCID,Yang Mi²^ORCID,Zhang Ze²,Huang Wenjiang³,Zhang Lifu¹^ORCID,Tong Qingxi¹

Affiliation:

1. National Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. Xinjiang Production and Construction Crop Oasis Eco-Agriculture Key Laboratory, College of Agriculture, Shihezi University, Shihezi, China

3. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Funder

Key Research Program of Frontier Sciences, CAS

National Natural Science Foundation of China

Science and Technology Major Program of BINGTUAN

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10504965.pdf?arnumber=10504965

Reference66 articles.

1. An Overview of the Molecular Genetics of Plant Resistance to the Verticillium Wilt Pathogen Verticillium dahliae

2. Population genomics demystifies the defoliation phenotype in the plant pathogen Verticillium dahliae

3. Study of Field-Grown Cotton Roots Infected withVerticillium dahliaeUsing an Immunoenzymatic Staining Technique

4. Intelligent identification on cotton verticillium wilt based on spectral and image feature fusion

5. Method for early diagnosis of verticillium wilt in cotton based on chlorophyll fluorescence and hyperspectral technology

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1. Efficient Detection of Cotton Verticillium Wilt by Combining Satellite Time-Series Data and Multiview UAV Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024