MyEasyAI MyEasyFarm, Cristal Union, and URCA Launch an AI Platform for the Sugar Beet Industry

MyEasyAI for the beet industry
To address climate and regulatory challenges, MyEasyFarm with Cristal Union and the University of Reims Champagne-Ardenne (URCA) to create MyEasyAI, an intelligent assistant designed to help decarbonize beet farming.

AI to tackle challenges in the sugar beet industry

The agri-food sector is facing increasing pressure to reduce its greenhouse gas (GHG) emissions, which account for nearly a third of global emissions. In the Grand Est region, the beet industry is particularly exposed to climate hazards and new transparency requirements (CSRD, SBTi FLAG). The MyEasyAI project MyEasyAI agricultural data into a strategic asset to steer this transition in a precise and verifiable manner.

A decision-making assistant for sustainable agriculture

Supported by URCA's LICIIS laboratory and European producer Cristal Union, MyEasyAI to develop a decision-making assistant capable of:

  • Ensuring data reliability: Facilitating the collection and verifying the consistency of primary data from farmers.
  • Supporting advisors: Enabling cooperative advisors to provide more tailored guidance to each farm based on its soil and climate conditions.
  • Driving sustainability: Providing Cristal Union's CSR teams with advanced management tools for their decarbonization trajectories

Uncompromising safety and reliability

With a budget of €1.6 million and support from the European Union, the Grand Est region, and as part of France 2030—funds managed by Bpifrance— MyEasyAI is MyEasyAI a technological breakthrough. The project is part of a frugal innovation approach aimed at ensuring significant environmental benefits: a targeted reduction of 27.5% reduction in GHG emissions and an optimization of water resources by 8 to 20%.

As Guillaume Vial, Solutions Manager at MyEasyFarm points out MyEasyFarm “Our goal is to build a digital twin of the farm […] to provide farmers with a transparent solution, where every AI recommendation is explainable.”

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