A field-based high-throughput method for acquiring canopy architecture using unmanned aerial vehicle images-Reference-Cited by-同舟云学术

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A field-based high-throughput method for acquiring canopy architecture using unmanned aerial vehicle images

Published:2021-01 Issue: Volume:296 Page:108231
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Liu Fusang,Hu Pengcheng,Zheng Bangyou,Duan Tao,Zhu Binglin,Guo Yan

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference110 articles.

1. Reconstruction of extreme topography from UAV structure from motion photogrammetry;Agüera-Vega;Measurement,2018

2. A new Voronoi-based surface reconstruction algorithm;Amenta,1998

3. Field high-throughput phenotyping: the new crop breeding frontier;Araus;Trends Plant Sci,2014

4. Translating high-throughput phenotyping into genetic gain;Araus;Trends Plant Sci,2018

5. Rapid measurement of the three-dimensional distribution of leaf orientation and the leaf angle probability density function using terrestrial LiDAR scanning;Bailey;Remote Sens. Environ.,2017

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