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Estimation of chlorophyll content in Brassica napus based on unmanned aerial vehicle images

Yayi Huang Ying Long Xiaojun Zhang Biyun Chen Changhua Liu Qiming Ma Xiaoming Wu Hao Li Kun Xu Gaoxiang Ji Fang Qian Lixia Li Qian Huang

中国油料作物学报（英文）2022，Vol.7Issue(3)：149-155,7.

Estimation of chlorophyll content in Brassica napus based on unmanned aerial vehicle images

Yayi Huang ¹Ying Long ²Xiaojun Zhang ²Biyun Chen ²Changhua Liu ¹Qiming Ma ²Xiaoming Wu ²Hao Li ²Kun Xu ²Gaoxiang Ji ²Fang Qian ²Lixia Li ²Qian Huang²

作者信息

1. School of Mathematics and Computer Science,Wuhan Polytechnic University,Wuhan,430023,China
2. Oil Crops Research Institute,Chinese Academy of Agricultural Sciences,Key Laboratory of Oil Crop Biology and Genetic Improvement,Ministry of Agriculture and Rural Affairs,Wuhan,430062,China
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摘要

关键词

Brassica napus/Unmanned aerial vehicle/Red green blue images/SPAD/Chlorophyll

Key words

Brassica napus/Unmanned aerial vehicle/Red green blue images/SPAD/Chlorophyll

引用本文复制引用

Yayi Huang,Ying Long,Xiaojun Zhang,Biyun Chen,Changhua Liu,Qiming Ma,Xiaoming Wu,Hao Li,Kun Xu,Gaoxiang Ji,Fang Qian,Lixia Li,Qian Huang..Estimation of chlorophyll content in Brassica napus based on unmanned aerial vehicle images[J].中国油料作物学报（英文）,2022,7(3):149-155,7.

基金项目

This work was supported by Special Project for Protection and Utili-zation of Crop Germplasm Resources of the Ministry of Agriculture and Rural Affairs(No.2021-19210163,No.2021-19211041,No.2021-19210876)and 2021 Hubei Provincial Teaching Research Project:Research on course case base construction of agricultural engineering and information technology(No.2021351). （No.2021-19210163,No.2021-19211041,No.2021-19210876）

中国油料作物学报（英文）

OACSCD

ISSN：2096-2428

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