Region-aware crop phenology prediction

The problem

Crop growth stage prediction varies sharply by region, crop, and season. A single global model could not capture that, and managing many models by hand does not scale.

What we shipped

An MLOps platform running more than 600 region-aware models in production, with automated retraining, monitoring, and deployment.

Outcome

Reliable, region-specific phenology predictions served at scale, with the model lifecycle automated end to end.