The research projects selected and funded should implement multidisciplinary and systemic approaches based on the hybridisation of expertise from agronomy, ecology, genetics, physiology, ethology, digital technology, artificial intelligence, and social sciences (economics, sociology, management sciences, ergonomics). The funded infrastructures and equipment should be structured and provide data and methods for agroecological practices.
Name in original language
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Initiative overview
This project funds research that pairs agroecological practices with advanced digital tools including artificial intelligence. The goal is to speed up the transition to resilient, low-input farming by turning data, models, and decision-support into practical methods farmers and advisors can use.
Projects are collaborative and application-oriented: consortia build shared datasets, experimental platforms, and measurement equipment, then test solutions in real-world settings (e.g., field trials, living labs). Expected outputs include open methods and interoperable tools that improve monitoring, planning, and evaluation of agroecological systems.
Name of responsible organisation (in English)
French National Research Institute for Agriculture, Food and Environment; French National Institute for Digital Science and Technology
