TwinFarms

Deploying digital twins at farm level to foster agro-ecological innovation

Colza Pois d'hiver Tournesol Pois de printemps Féverole d'hiver Soja Féverole de printemps Lentille Pois chiche Lin de printemps Lin d'hiver Lupin d'hiver Lupin de printemps Cameline Chanvre
Produire avec l’agroécologie
Non
Agir pour la transition agroécologique
  • Project Status
    En cours
  • Start date
    01/01/2025
  • Pilot structure
    AgroParisTech Foundation (FAPT)
  • Total cost

    4 991 289 €

  • Geographic area
    National
  • Referent(s)

    Julie Auque - j.auque@terresinovia.fr
    Celia Pontet - c.pontet@terresinovia.fr

  • Duration
    48
  • Funded by

    ANR

The challenges

Originating in engineering, digital twins - virtual replicas of physical systems - have enabled advances in many sectors, driven in particular by the proliferation of sensors. Agriculture is no exception to this trend: on a farm scale, the combination of data from sensors and existing agronomic knowledge opens up promising prospects for supporting the agro-ecological transition, against a backdrop of increasingly stringent climate change.


In a tactical approach, a digital twin farm could help farmers adjust their decisions over the course of the campaign, depending on the condition of crops and/or animals, drawing on in situ sensors as well as external data such as satellite images. This would be particularly useful for reacting to increasingly unpredictable climatic contingencies.


From a strategic perspective, the digital twin would enable farmers to simulate the evolution of their system over the medium to long term, in order to anticipate the effects of different change scenarios.


TwinFarms aims to make these uses tangible and accessible in the field.

The objectives

Twinfarms aims to deploy digital twins at farm level to foster agro-ecological innovation. It will be based on nine demonstrators where the digital twins should provide added value to facilitate tactical or strategic choices.

Expected results

  • Create a data platform that collects, cleans, organizes and stores accurate data from sensors and other databases.

  • Establish specifications for digital twins, assess the quality of the twins produced, and anticipate future services to be provided to enhance the agroecological transition.

  • Design physical, biological and mathematical models. Learn from temporal, heterogeneous, incomplete and irregularly sampled data, and generalize these models for various applications.
  • Develop intuitive and efficient user interfaces to enable farmers to take advantage of digital twins. This includes specifying requirements, implementing prototypes and writing user guides.

Our partners

These projects may be of interest to you

Here are some other projects dealing with the same themes.

- Supporting the agro-ecological transition of 30 farms in Occitania

Experimenting with agroecological systems for pesticide use as a last resort

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