An imaging library to detect and track future position of ear on maize plants.
EarTrack is released under a Cecill-C license.
The documentation is available at https://eartrack.readthedocs.io
Tutorials are available as Jupyter notebook :
Follow official website instruction to install miniconda : http://conda.pydata.org/miniconda.html
To create conda environment and activate it :
conda create -n eartrack python=2.7
source activate eartrack # just "activate eartrack" on windowsAvailable for linux, Windows and Mac OSX on 64 bits.
conda install -c conda-forge -c openalea openalea.eartrackPlease follow documentation installation page <https://eartrack.readthedocs .io/en/latest/source/install/index.html>.
Please open an Issue if you need support or that you run into any error (Installation, Runtime, etc.). We'll try to resolve it as soon as possible.
Brichet N, Fournier C, Turc O, Strauss O, Artzet S, Pradal C, Welcker C, Tardieu F, Cabrera-Bosquet L. 2017. A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platform. Plant Methods 13:96 doi:10.1186/s13007-017-0246-7
- Nicolas Brichet <nicolas.brichet@inra.fr>
- Christian Fournier <christian.fournier@inra.fr>
- Simon Artzet <simon.artzet@gmail.com>
- Christophe Pradal <christophe.pradal@inria.fr>