Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal

Home page

Structure

The CoSAC project is structured into four main scientific tasks.
  • Task 1 will focus on crop diversification, localized technologies and no till. These techniques will be monitored in field experiments, the underlying processes will be studied in controlled conditions and in fields.
  • Task 2 will use these results to improve the existing FLORSYS model which quantifies the effects of cropping system and pedoclimate on weed dynamics and calculates indicators of weed harmfulness and benefits. FLORSYS will be further improved by adding herbicide resistance and seed dispersal functions, by upscaling from the field to a multi-field mosaic. FLORSYS will be used to run sensitivity analyses to identify correlations between cultural techniques and weed species traits. These simulations will also be used to develop a decision-aid tool for evaluating cropping systems in terms of weed harmfulness and benefits, after questioning future users to identify pertinent evaluation criteria and model uses. If possible, we will develop a further tool that propose cropping systems answering to the user's objectives.
  • Task 3 will use FLORSYS and its tool progeny to evaluate existing cropping systems identified in past farm surveys, existing farm networks and cropping system trials. New cropping systems reconciling reduced herbicide use, agricultural production and biodiversity conservation will be designed by experts, and evaluated with FLORSYS and its progeny. Existing and prospective cropping systems will then be improved in a second loop based on their simulated performance Then, the sensitivity of the best strategies to different changes will be tested. To take account of farmers' objectives and constraints during cropping system design, farmer interviews will be organized to identify obstacles that hinder the adoption of technical innovations.
  • Task 4 will organize the publication and dissemination of the project results, via meetings, website, training sessions on the newly developed tools and weed management strategies for advisors and farmers.