Yingpu Che1, Qing Wang1, Ziwen Xie1, Long Zhou2, Shuangwei Li1, Fang Hui1, Xiqing Wang2, Baoguo Li1, Yuntao Ma1. 1. Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, College of Resources and Environmental Sciences, China Agricultural University, Beijing, China. 2. Center for Crop Functional Genomics and Molecular Breeding, College of Biological Science, China Agricultural University, Beijinge China.
Abstract
BACKGROUND AND AIMS: 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. METHODS: Images were captured by a high-resolution digital RGB camera mounted on a UAV at five stages with nadir and oblique photography, and processed by Agisoft Metashape to generate point clouds, orthomosaic maps and digital surface models. Individual plots were segmented according to their positions in the experimental design layout. The plant height of each inbred line was calculated automatically by a reference ground method. The LAI was calculated by the 3-D voxel method. The reconstructed canopy was sliced into different layers to compare leaf area density obtained from oblique and nadir photography. KEY RESULTS: Good agreements were found for plant height between nadir photography, oblique photography and manual measurement during the whole growing season. The estimated LAI by oblique photography correlated better with measured LAI (slope = 0.87, R2 = 0.67), compared with that of nadir photography (slope = 0.74, R2 = 0.56). The total number of point clouds obtained by oblique photography was about 2.7-3.1 times than those by nadir photography. Leaf area density calculated by nadir photography was much less than that obtained by oblique photography, especially near the plant base. CONCLUSIONS: Plant height and LAI can be extracted automatically and efficiently by both photography methods. Oblique photography can provide intensive point clouds and relatively complete canopy information at low cost. The reconstructed 3-D profile of the plant canopy can be easily recognized by oblique photography.
BACKGROUND AND AIMS: 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. METHODS: Images were captured by a high-resolution digital RGB camera mounted on a UAV at five stages with nadir and oblique photography, and processed by Agisoft Metashape to generate point clouds, orthomosaic maps and digital surface models. Individual plots were segmented according to their positions in the experimental design layout. The plant height of each inbred line was calculated automatically by a reference ground method. The LAI was calculated by the 3-D voxel method. The reconstructed canopy was sliced into different layers to compare leaf area density obtained from oblique and nadir photography. KEY RESULTS: Good agreements were found for plant height between nadir photography, oblique photography and manual measurement during the whole growing season. The estimated LAI by oblique photography correlated better with measured LAI (slope = 0.87, R2 = 0.67), compared with that of nadir photography (slope = 0.74, R2 = 0.56). The total number of point clouds obtained by oblique photography was about 2.7-3.1 times than those by nadir photography. Leaf area density calculated by nadir photography was much less than that obtained by oblique photography, especially near the plant base. CONCLUSIONS: Plant height and LAI can be extracted automatically and efficiently by both photography methods. Oblique photography can provide intensive point clouds and relatively complete canopy information at low cost. The reconstructed 3-D profile of the plant canopy can be easily recognized by oblique photography.
Authors: Raphaël P A Perez; Christian Fournier; Llorenç Cabrera-Bosquet; Simon Artzet; Christophe Pradal; Nicolas Brichet; Tsu-Wei Chen; Romain Chapuis; Claude Welcker; François Tardieu Journal: Plant Cell Environ Date: 2019-04-17 Impact factor: 7.228
Authors: Simon Madec; Fred Baret; Benoît de Solan; Samuel Thomas; Dan Dutartre; Stéphane Jezequel; Matthieu Hemmerlé; Gallian Colombeau; Alexis Comar Journal: Front Plant Sci Date: 2017-11-27 Impact factor: 5.753
Authors: Jose A Jimenez-Berni; David M Deery; Pablo Rozas-Larraondo; Anthony Tony G Condon; Greg J Rebetzke; Richard A James; William D Bovill; Robert T Furbank; Xavier R R Sirault Journal: Front Plant Sci Date: 2018-02-27 Impact factor: 5.753