Know more

About cookies

What is a "cookie"?

A "cookie" is a piece of information, usually small and identified by a name, which may be sent to your browser by a website you are visiting. Your web browser will store it for a period of time, and send it back to the web server each time you log on again.

Different types of cookies are placed on the sites:

  • Cookies strictly necessary for the proper functioning of the site
  • Cookies deposited by third party sites to improve the interactivity of the site, to collect statistics

Learn more about cookies and how they work

The different types of cookies used on this site

Cookies strictly necessary for the site to function

These cookies allow the main services of the site to function optimally. You can technically block them using your browser settings but your experience on the site may be degraded.

Furthermore, you have the possibility of opposing the use of audience measurement tracers strictly necessary for the functioning and current administration of the website in the cookie management window accessible via the link located in the footer of the site.

Technical cookies

Name of the cookie


Shelf life

CAS and PHP session cookies

Login credentials, session security



Saving your cookie consent choices

12 months

Audience measurement cookies (AT Internet)

Name of the cookie


Shelf life


Trace the visitor's route in order to establish visit statistics.

13 months


Store the anonymous ID of the visitor who starts the first time he visits the site

13 months


Identify the numbers (unique identifiers of a site) seen by the visitor and store the visitor's identifiers.

13 months

About the AT Internet audience measurement tool :

AT Internet's audience measurement tool Analytics is deployed on this site in order to obtain information on visitors' navigation and to improve its use.

The French data protection authority (CNIL) has granted an exemption to AT Internet's Web Analytics cookie. This tool is thus exempt from the collection of the Internet user's consent with regard to the deposit of analytics cookies. However, you can refuse the deposit of these cookies via the cookie management panel.

Good to know:

  • The data collected are not cross-checked with other processing operations
  • The deposited cookie is only used to produce anonymous statistics
  • The cookie does not allow the user's navigation on other sites to be tracked.

Third party cookies to improve the interactivity of the site

This site relies on certain services provided by third parties which allow :

  • to offer interactive content;
  • improve usability and facilitate the sharing of content on social networks;
  • view videos and animated presentations directly on our website;
  • protect form entries from robots;
  • monitor the performance of the site.

These third parties will collect and use your browsing data for their own purposes.

How to accept or reject cookies

When you start browsing an eZpublish site, the appearance of the "cookies" banner allows you to accept or refuse all the cookies we use. This banner will be displayed as long as you have not made a choice, even if you are browsing on another page of the site.

You can change your choices at any time by clicking on the "Cookie Management" link.

You can manage these cookies in your browser. Here are the procedures to follow: Firefox; Chrome; Explorer; Safari; Opera

For more information about the cookies we use, you can contact INRAE's Data Protection Officer by email at or by post at :


24, chemin de Borde Rouge -Auzeville - CS52627 31326 Castanet Tolosan cedex - France

Last update: May 2021

Menu Logo Principal Institut Agro Montpellier LEPSE membre de University of Montpellier Labex AGRO Institut Carnot DigitAg

Home page

Developed applications

Developed applications


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

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.


To cite in publications, use:

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


SunPathGen is an R-based interactive web application based on the R Shiny package ( that provides advanced visualization and statistical computing. It allows calculation of sun paths and light transmission on hemispherical images under a user-friendly environment. The App does not require any previous knowledge on R programming, just an updated version of most current browsers (e.g. Mozilla, IE). The web application has three main features:

  • Sun path calculator: It allows simulating sun paths and astronomical related parameters depending on the user inputs (day of year and latitude/ longitude coordinates)
  • Light transmission calculator: It allows calculating the transmission of diffuse and direct light based on user inputs (binarised hemispherical images, day of year and latitude). A csv file containing the obtained results can be downloaded.
  • Gallery: A video file of the direct light transmission over one year in our greenhouse together with a gallery of the PhenoArch platform is available.

The application is available at the following link:


To cite in publications, use:

Cabrera-Bosquet L, Fournier C, Brichet N, Welcker C, Suard B, Tardieu F. 2016. High throughput estimation of incident light, light interception and radiation-use efficiency of thousands of plants in a phenotyping platform. New Phytologist, 212: 269-281.