Canopy Reconstruction statistics

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Citations per year

Number of citations per year for the bioinformatics software tool Canopy Reconstruction
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Tool usage distribution map

This map represents all the scientific publications referring to Canopy Reconstruction per scientific context
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Canopy Reconstruction specifications

Information


Unique identifier OMICS_33314
Name Canopy Reconstruction
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Output data A 3D mesh structure.
Operating system Unix/Linux, Mac OS, Windows
Programming languages C#
Computer skills Advanced
Version 1.0
Stability Stable
Maintained Yes

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Versioning


No version available

Maintainer


  • person_outline Tony Pridmore

Additional information


https://www.nottingham.ac.uk/research/groups/cvl/software/canopy.aspx

Publication for Canopy Reconstruction

Canopy Reconstruction citations

 (2)
library_books

Exploring Relationships between Canopy Architecture, Light Distribution, and Photosynthesis in Contrasting Rice Genotypes Using 3D Canopy Reconstruction

2017
Front Plant Sci
PMCID: 5434157
PMID: 28567045
DOI: 10.3389/fpls.2017.00734

[…] efficiency of distribution of light across a particular LAI. The architectures of five diverse rice cultivars at two different growth stages were captured using a low-tech method for high-resolution canopy reconstruction. This reconstruction method has previously been shown to provide an accurate representation of the plants with replication of leaf area between 1 and 4% of that of measured data […]

library_books

Image based 3D canopy reconstruction to determine potential productivity in complex multi species crop systems

2017
Ann Bot
PMCID: 5458713
PMID: 28065926
DOI: 10.1093/aob/mcw242

[…] al and spatial dynamics of light environment within canopies and have distinct advantages for multi-species intercrops, where spatial possibilities are greater.In this paper we put modern methods for canopy reconstruction in the context of multi-species cropping systems and aim to test (1) whether image-based reconstruction can be used as a means to explore the light environment at high spatial re […]


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Canopy Reconstruction institution(s)
Centre for Plant Integrative Biology, School of Biosciences, University of Nottingham, Sutton Bonington, UK; School of Computer Science, University of Nottingham, Jubilee Campus, Nottingham, UK
Canopy Reconstruction funding source(s)
Supported by the Biotechnology and Biological Sciences Research Council.

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