Ecophyto Maturation - Ecophyto Maturation

Modelling and Communicating the Risk related to Bio-aggressors in Field Crops – MoCoRiBA

Submission summary

Several scientific studies suggest the possibility of reducing the use of plant protection products by 10 to 30% without economic loss for farmers. The MoCoRiBA project promotes this strategic and tactical evolution for insecticides and fungicides in arable crops. To this end, it offers to extend the information available to farmers and advisers in real time and starting prior to sowing. Current disease and pest pressure, practices adopted by thrifty farmers under similar conditions, and their combined impacts on yields will thus be integrated to support decision-making.

This ambition is based on the development of statistical models and on the co-design of an innovative tool by a consortium involving research teams, farmers' groups and advisory bodies (technical institutes, industry, chamber of agriculture). By mobilizing statistical models on national data sets (epidemiological surveillance data, meteorological data, farm DEPHY network, IGN, PAC data, etc.) we will produce pest pressure information accounting for the landscape and past abundances around the plots. These models will be available for about 30 pests and diseases in five crops (wheat, oilseed rape, maize, potatoes and beet). These same data sets will allow us to evaluate through machine learning (deep neural networks) what it would be like to treat more or less pesticide-reliant farmers under similar conditions of pest pressure and past practices. Finally, we will assess the combined impact of pest pressure and control practices on yields. The combination of these three models of pressure, practice and yield will make it possible to estimate the trajectory of the cropping system until harvest and its potential yield according to the type of technical route chosen.

In parallel with the development of these models, a diagnosis of the uses related to plant protection products will be carried out with several groups of farmers and their advisers to better understand the form the tool should take. The models will then be integrated into a prototype for farmers and advisers. This prototype will evolve according to the feedback from consulting and parcel management service providers (Inovia Lands, WIUZ, ITB) and farmers testing the prototype alone or in groups.This will result in a tool that is integrated with the Inovia Lands and WIUZ digital platforms and can be integrated with other existing digital parcel management platforms. This tool will thus be able to use the information already entered by farmers in these tools (location and past practices) for prediction. It will also be able to improve its prediction capabilities based on farmers' data sharing agreements with parcel management service providers. Finally, it could serve as a basis for an extension to the management of insecticides and fungicides in orchards and vineyards.

Project coordination

Corentin Barbu (Agronomie)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.


LISIS Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés
Agronomie Agronomie

Help of the ANR 428,741 euros
Beginning and duration of the scientific project: January 2020 - 36 Months

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