Estimation of maize plant height and leaf area index dynamics using an unmanned aerial vehicle with oblique and nadir photography | Zendy

Yingpu Che | Zendy; Qing Wang | Zendy; Ziwen Xie | Zendy; Long Zhou | Zendy; Shuangwei Li | Zendy; Hui Fang | Zendy; Baoguo Li | Zendy; Yuntao Ma | Zendy

Open Access

Estimation of maize plant height and leaf area index dynamics using an unmanned aerial vehicle with oblique and nadir photography

Author(s) -

Yingpu Che,

Qing Wang,

Ziwen Xie,

Long Zhou,

Shuangwei Li,

Hui Fang,

Baoguo Li,

Yuntao Ma

Publication year - 2020

Publication title -

annals of botany

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.567

H-Index - 176

eISSN - 1095-8290

pISSN - 0305-7364

DOI - 10.1093/aob/mcaa097

Subject(s) - biology , leaf area index , oblique case , nadir , remote sensing , aerial photography , botany , satellite , linguistics , philosophy , geology , engineering , aerospace engineering

High-throughput phenotyping is a limitation in plant genetics and breeding due to large-scale experiments in the field. Unmanned aerial vehicles (UAVs) can help to extract plant phenotypic traits rapidly and non-destructively with high efficiency. The general aim of this study is to estimate the dynamic plant height and leaf area index (LAI) by nadir and oblique photography with a UAV, and to compare the integrity of the established three-dimensional (3-D) canopy by these two methods.

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