Diagnosis of winter-wheat water stress based on UAV-borne multispectral image texture and vegetation indices-Reference-Cited by-同舟云学术

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Diagnosis of winter-wheat water stress based on UAV-borne multispectral image texture and vegetation indices

Published:2021-10 Issue: Volume:256 Page:107076
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Zhou Yongcai,Lao Congcong,Yang Yalong,Zhang Zhitao,Chen Haiying,Chen Yinwen,Chen Junying,Ning Jifeng,Yang Ning

Funder

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Shanghai

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference46 articles.

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3. Quantifying chlorophylls and caroteniods at leaf and canopy scales: an evaluation of some hyperspectral approaches;Blackburn;Remote Sens. Environ.,1998

4. Bayes model averaging with selection of regressors;Brown;J. R. Stat. Soc. Ser. B Stat. Methodol.,2002

5. How do stomata respond to water status?;Buckley;New Phytol.,2019

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