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ZENODO
Software . 2018
Data sources: ZENODO
ZENODO
Software . 2018
Data sources: Datacite
Claim

Phenomenal: A 3D plant reconstruction library from high-throughtput phenotyping data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Sep 2018Publisher:ZenodoFunded by:EC | EMPHASIS-PREP
Authors: Simon Artzet; Chen, Tsu-wei; Jerome Chopard; Nicolas Brichet; Mielewczik, Michael; COHEN-BOULAKIA, Sarah; Cabrera-Bosquet, Llorenç; +3 Authors
Code repository: https://github.com/openalea/phenomenal/tree/v1.6.1

doi: 10.5281/zenodo.1436634

Phenomenal: A 3D plant reconstruction library from high-throughtput phenotyping data

Abstract

Phenomenal is a library for 3D plant reconstruction and analysis from high-throughput phenotyping images. It is an open source library. It contains novel algorithms and tutorials, that can be run directly in the browser using binder.

Related Organizations
Keywords

plant, high-throughput phenotyping, computer vision, 3D

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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