Agriculture
Multi-region grower - yield forecasting
Limited week-by-week visibility into expected supply across multiple fields and crop varieties, leading to inefficient labor and logistics planning
The challenge
Limited week-by-week visibility into expected supply across multiple fields and crop varieties. Manual processes and static calendars missed inter-annual and in-season variability, leading to inefficient resource allocation, last-minute logistics changes, and labor scheduling that consistently missed the mark.
What we built
Weekly yield forecasts leveraging automated data pipelines, weather patterns, and agronomy-aware features. The solution delivers transparent, versioned reporting through an interactive planning dashboard with chat assistant, enabling data-driven decisions for labor and logistics optimization.
What changed
Prediction accuracy
normalized MAE comparable to field inspections
Data freshness
from field conditions to predictions
Reduction in planning cycle time
Built with
Machine Learning · Weather API Integration · Agronomy Modeling · Automated Pipelines · Interactive Dashboards
Timeline
6 weeks to production