Saint Louis Sucre, France's 3rd largest sugar producer and the world's1st largest lump sugar exporter, processes around 2 million tonnes of sugar beet every year. To manage the performance of its sugar beet campaigns, Saint Louis Sucre called on Equans Digital for a project to predict the performance of sugar beet production campaigns. Starting in 2025, this project is a benchmark in continuous improvement of industrial processes through AI in the French agri-food sector.
Anticipating, optimizing and controlling the sugar campaign
- Accurately predict crop characteristics
- Identify and activate performance optimization levers
- Anticipate company results
- Control and manage factors influencing production performance
- Adapt industrial production resources according to predictions
Artificial intelligence and data science for sugar performance
Equans Digital mobilized its expertise in data science and artificial intelligence to meet Saint Louis Sucre's challenges. Solutions provided include:
- Exploratory data analysis integrating several years of historical data and exogenous data on soil quality and meteorological characteristics
- Feature engineering with business and agronomy experts
- Advanced algorithmic modeling for fine-tuned prediction of beet production characteristics
- Explanation of influencing factors and their impact on results for analysis purposes
- Optimization and fine-tuning of algorithm parameters to improve results
- Implementation of a single web application integrating statistical analysis, training and model prediction
- Use of results to accurately size industrial production resources and rapidly act on identified optimization levers
Key benefits for Saint Louis Sucre
- Reliable anticipation of current sugar campaign performance
- Targeted action on factors with the greatest impact on current operations
Key figures for the Saint Louis Sucre project - AI prediction of beet yields
~ 2 M
tonnes of beet processed per year 1 st
lump sugar in world exports 10 years and +
history of data used