Skip to content

An imaging library to detect and track future position of ears on maize plants

License

Notifications You must be signed in to change notification settings

openalea/eartrack

Repository files navigation

Documentation Status Travis build status (osx and linux) Appveyor build status (Windows x86 and x64)

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 windows

Available for linux, Windows and Mac OSX on 64 bits.

conda install -c conda-forge -c openalea openalea.eartrack

Please 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