Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods-Reference-Cited by-同舟云学术

Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods

Published:2021-06 Issue: Volume:185 Page:106138
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Zhang Jiayi,Qiu Xiaolei,Wu Yueting,Zhu Yan,Cao Qiang,Liu Xiaojun,Cao Weixing

Funder

Ministry of Education of the People's Republic of China

Ministry of Science and Technology of the People's Republic of China

Jiangsu Province Department of Finance

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference37 articles.

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5. Novel algorithms for remote estimation of vegetation fraction;Gitelson;Remote Sens. Environ.,2002

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