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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

Tutorials are available as Jupyter notebook :

Installation with Miniconda

Miniconda installation

Follow official website instruction to install miniconda :

To create conda environment and activate it :

conda create -n eartrack python=2.7
source activate eartrack # just "activate eartrack" on windows

User installation

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

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

Source code installation

Please follow documentation installation page <https://eartrack.readthedocs .io/en/latest/source/install/index.html>.

Help and Support

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