Science Score: 39.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (7.5%) to scientific vocabulary
Keywords
Repository
Phenotyping Maize over time
Basic Info
Statistics
- Stars: 10
- Watchers: 3
- Forks: 3
- Open Issues: 4
- Releases: 2
Topics
Metadata Files
README.md
PhenoTrack3D: an automatic high-throughput phenotyping pipeline to track maize organs over time
PhenoTrack3D can be used to track leaf organs over time, in a time-series of 3D maize plant reconstructions. Such 3D reconstructions can be obtained from sets of RGB images with the Phenomenal pipeline (https://github.com/openalea/phenomenal)
Maintainers
- Daviet Benoit (benoit.daviet@inrae.fr)
- Fournier Christian (christian.fournier@inrae.fr)
- Pradal Christophe (christophe.pradal@cirad.fr)
License
Our code is released under Cecill-C (https://cecill.info/licences/LicenceCeCILLV1.1-US.txt) licence. See LICENSE file for details.
Install
install dependencies with conda:
conda create -n phenotrack -c conda-forge -c openalea3 openalea.phenomenal skan=0.10 pytest numpy skimage
conda activate phenotrack
Clone repo and run setup
git clone https://github.com/openalea/phenotrack3d.git
cd phenotrack3d
References
If you use PhenoTrack3D to your research, cite:
Daviet, B., Fernandez, R., Cabrera-Bosquet, L. et al. PhenoTrack3D: an automatic high-throughput phenotyping pipeline to track maize organs over time. Plant Methods 18, 130 (2022). https://doi.org/10.1186/s13007-022-00961-4
```latex @article {daviet22, author = {Daviet, Benoit and Fernandez, Romain and Cabrera-Bosquet, Lloren{\c c} and Pradal, Christophe and Fournier, Christian}, title = {PhenoTrack3D: an automatic high-throughput phenotyping pipeline to track maize organs over time}, elocation-id = @article{daviet2022phenotrack3d, title={PhenoTrack3D: an automatic high-throughput phenotyping pipeline to track maize organs over time}, author={Daviet, Benoit and Fernandez, Romain and Cabrera-Bosquet, Lloren{\c{c}} and Pradal, Christophe and Fournier, Christian}, journal={Plant Methods}, volume={18}, number={1}, pages={1--14}, year={2022}, publisher={Springer} }
```
Owner
- Name: OpenAlea
- Login: openalea
- Kind: organization
- Website: http://openalea.rtfd.io
- Repositories: 54
- Profile: https://github.com/openalea
OpenAlea is an open source project aimed at the plant research community. It includes modules to analyse and model growth and functioning of plant architectures
GitHub Events
Total
- Create event: 1
- Release event: 1
- Issues event: 1
- Watch event: 2
- Push event: 3
- Pull request event: 1
Last Year
- Create event: 1
- Release event: 1
- Issues event: 1
- Watch event: 2
- Push event: 3
- Pull request event: 1