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	Purpose	Shelf life
CAS and PHP session cookies	Login credentials, session security	Session
Tarteaucitron	Saving your cookie consent choices	12 months

Audience measurement cookies (AT Internet)

Name of the cookie	Purpose	Shelf life
atid	Trace the visitor's route in order to establish visit statistics.	13 months
atuserid	Store the anonymous ID of the visitor who starts the first time he visits the site	13 months
atidvisitor	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 cil-dpo@inrae.fr or by post at :

INRAE

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

Last update: May 2021

Work-package 6

Design and implementation of the « MicMac modelling software environment »

Objective:

The aim of this work-package (WP6) is to develop a generic software environment dedicated to the design and the evaluation of the agronomic, economic and environmental performances of crop management plans and cropping systems.

The first objective of this work package is to conceive the conceptual framework of this environment and, in a second phase, to implement this «MicMac modelling software environment» using the RECORD platform (http://www4.inra.fr/record_eng/).

This environment will help develop reusable modelling structures that represent the agronomic, environmental, and socio-economic performances of cropping systems or crop management plans. Hence, the three components of sustainability will be quantified ex-ante (prior to any field experiment) using various models embedded within the MicMac modelling and simulation software environment.

Four types of components of the modelling environment are already foreseen:

- a set of different modules corresponding to models in different domains that are used in the MicMac project to simulate cropping systems:

• decision models used to represent cropping practices in a given field or in a given farm
• biophysical models that simulate crop and soil processes in cropping systems
• epidemiological models sensu lato that represent the dynamics of pest populations (plant pathogens, weeds and animal pests) and related damage
• environmental models that represent the environmental performance of the simulated cropping system or crop management plan
• models that calculate socio-economic performances

- a simulation engine that allows the linkage of the different models listed above and drives the simulation process

- a module that monitors exchanges with underlying databases

- a set of statistical or numerical methods to help estimate parameters, perform sensitivity analysis, evaluate the predictive quality of the linked models.

The second objective of this WP is to develop methods of software engineering, mathematics and statistics dedicated to the design of cropping systems or crop management plans using the MicMac modelling environment.

Two main features will be developed:

- virtual experimental design and analysis for testing cropping systems or crop management plans

- optimisation algorithms to identify optimal strategies for different multicriteria objectives, and under multiple constraints.

The work-package 6 is split into 4 tasks:

- WP6.1:Conception and implementation of the MicMac environment using the RECORD platform

- WP6.2:Design and software implementation of crop management plans and cropping systems and mathematical optimisation of strategies

- WP6.3: Methods for parameter estimation and evaluation

- WP6.4: Development of a specific database for the field experiments conducted in the MicMac project and linkage of the models embedded within the MicMac platform to the database

WP6 coordinators:

Hélène Raynal(UR BIA, INRA Toulouse) Jean-Noël Aubertot (UMR AGIR, INRA Toulouse)