Retrieving rice (Oryza sativa L.) net photosynthetic rate from UAV multispectral images based on machine learning methods (vol 13, 1088499, 2023)

被引：0

作者：

Wu, Tianao ^{[1
,2
,3
]}

Zhang, Wei ^{[1
]}

Wu, Shuyu ^{[1
,2
,3
]}

Cheng, Minghan ^{[4
]}

Qi, Lushang ^{[1
]}

Shao, Guangcheng ^{[1
]}

Jiao, Xiyun ^{[1
,2
,3
]}

机构：

[1] Hohai Univ, Coll Agr Sci & Engn, Nanjing, Peoples R China

[2] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul Eng, Nanjing, Peoples R China

[3] Hohai Univ, Cooperat Innovat Ctr Water Safety & Hydro Sci, Nanjing, Peoples R China

[4] Yangzhou Univ, Agr Coll, Jiangsu Key Lab Crop Genet & Physiol, Jiangsu Key Lab Crop Cultivat & Physiol, Yangzhou, Peoples R China

来源：

FRONTIERS IN PLANT SCIENCE | 2023年 / 14卷

关键词：

UAV multispectral remote sensing; rice canopy; net photosynthetic rate; vegetation index; textural index; machine learning;

D O I：

10.3389/fpls.2023.1229908

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

引用

页数：2