Eartrack’s documentation

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

earTrack is released under a Cecill-C license.

Installation

• Installation
  • Source code installation with Miniconda
    • Miniconda installation
    • On Linux / Ubuntu / MacOS
      • Create virtual environment and activate it
      • Dependencies install
      • Eartrack install
    • On Windows
      • Create virtual environment and activate it
      • Dependencies install
      • Eartrack install

Notebooks Tutorial

• Getting started with eartrack
• Eartrack step by step

API References

• References
  • API Reference
    • binarisation
    • eartrack

Authors

• Nicolas Brichet <nicolas.brichet@inra.fr>
• Christian Fournier <christian.fournier@inra.fr>
• Simon Artzet <simon.artzet@gmail.com>
• Christophe Pradal <christophe.pradal@inria.fr>
• Nicolas Brichet <nicolas.brichet@inra.fr>
• Christian Fournier <christian.fournier@inra.fr>
• Simon Artzet <simon.artzet@gmail.com>
• Christophe Pradal <christophe.pradal@inria.fr>

License

Citation

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

Indices and tables

• Index
• Search Page