Literature DB >> 17727419

A stereo imaging system for measuring structural parameters of plant canopies.

Bernhard Biskup1, Hanno Scharr, Ulrich Schurr, Uwe Rascher.   

Abstract

Plants constantly adapt their leaf orientation in response to fluctuations in the environment, to maintain radiation use efficiency in the face of varying intensity and incidence direction of sunlight. Various methods exist for measuring structural canopy parameters such as leaf angle distribution. However, direct methods tend to be labour-intensive, while indirect methods usually give statistical information on stand level rather than on individual leaves. We present an area-based, binocular stereo system composed of commercially available components that allows three-dimensional reconstruction of small- to medium-sized canopies on the level of single leaves under field conditions. Spatial orientation of single leaves is computed with automated processes using modern, well-established stereo matching and segmentation techniques, which were adapted for the properties of plant canopies, providing high spatial and temporal resolution (angle measurements with an accuracy of approx. +/-5 degrees and a maximum sampling rate of three frames per second). The applicability of our approach is demonstrated in three case studies: (1) the dihedral leaflet angle of an individual soybean was tracked to monitor nocturnal and daytime leaf movement showing different frequencies and amplitudes; (2) drought stress was diagnosed in soybean by quantifying changes in the zenith leaflet angle distribution; and (3) the diurnal course of the zenith leaf angle distribution of a closed soybean canopy was measured.

Entities:  

Mesh:

Year:  2007        PMID: 17727419     DOI: 10.1111/j.1365-3040.2007.01702.x

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  33 in total

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2.  Image-based dynamic quantification and high-accuracy 3D evaluation of canopy structure of plant populations.

Authors:  Fang Hui; Jinyu Zhu; Pengcheng Hu; Lei Meng; Binglin Zhu; Yan Guo; Baoguo Li; Yuntao Ma
Journal:  Ann Bot       Date:  2018-04-18       Impact factor: 4.357

3.  Altered physiological function, not structure, drives increased radiation-use efficiency of soybean grown at elevated CO2.

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4.  3D Sorghum Reconstructions from Depth Images Identify QTL Regulating Shoot Architecture.

Authors:  Ryan F McCormick; Sandra K Truong; John E Mullet
Journal:  Plant Physiol       Date:  2016-08-15       Impact factor: 8.340

5.  Computer reconstruction of plant growth and chlorophyll fluorescence emission in three spatial dimensions.

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Journal:  Sensors (Basel)       Date:  2012-01-18       Impact factor: 3.576

6.  The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool.

Authors:  Mark Müller-Linow; Francisco Pinto-Espinosa; Hanno Scharr; Uwe Rascher
Journal:  Plant Methods       Date:  2015-02-26       Impact factor: 4.993

7.  3D Laser Triangulation for Plant Phenotyping in Challenging Environments.

Authors:  Katrine Heinsvig Kjaer; Carl-Otto Ottosen
Journal:  Sensors (Basel)       Date:  2015-06-09       Impact factor: 3.576

8.  Field phenotyping of grapevine growth using dense stereo reconstruction.

Authors:  Maria Klodt; Katja Herzog; Reinhard Töpfer; Daniel Cremers
Journal:  BMC Bioinformatics       Date:  2015-05-06       Impact factor: 3.169

9.  Limits of active laser triangulation as an instrument for high precision plant imaging.

Authors:  Stefan Paulus; Thomas Eichert; Heiner E Goldbach; Heiner Kuhlmann
Journal:  Sensors (Basel)       Date:  2014-02-05       Impact factor: 3.576

10.  Accuracy analysis of a multi-view stereo approach for phenotyping of tomato plants at the organ level.

Authors:  Johann Christian Rose; Stefan Paulus; Heiner Kuhlmann
Journal:  Sensors (Basel)       Date:  2015-04-24       Impact factor: 3.576

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