Case-based Reasoning for Forecasting the Allocation of Perennial Biomass Crops

Florence Le Ber (1, 2) , Jean Lieber (2) , Marc Benoît (3)

1 ICube - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie
2 ORPAILLEUR - Knowledge representation, reasonning
3 ASTER Mirecourt - Agro-Systèmes Territoires Ressources Mirecourt

A farmer's decision to plant new perennial biomass crops is a complex process that involves numerous parameters and can change the food / non-food balance. The paradigm of case-based reasoning is able to deal with the kind of complex and sparse information that is available in this situation, to model and forecast the allocation of these crops.

Domaines: Sciences agricoles; Intelligence artificielle [cs.AI]

Florence Le Ber, Jean Lieber, Marc Benoît. Case-based Reasoning for Forecasting the Allocation of Perennial Biomass Crops. ERCIM News, 2018, Smart Farming, 113, pp.2. ⟨hal-01773571v1⟩