Our historical approach is the mechanistic modelling of plants growth. Multiphysical and agronomical equations model complex interactions between climate, soil and genotype to simulate phenotypic traits :
- Phenological stages,
- Harvested organs weight,
- Qualities,
- Abiotic stresses,
- …
Our second approach rely on data valorization to learn to understand plants. From statistical regression to deep learning techniques, the key is to choose the technique suited to your objectives and your data.
It is the fusion of both approaches that enable us to provide services to valorize agronomical and climate data as well as imaging signals.