case study
Yield analytics platform for an agri-business
IoT and field data unified into forecasts that guide planting, irrigation, and harvest timing across dozens of farms.
This is an illustrative example · a representative scenario of the kind of work we do, not a named real client. Figures are directional, not guarantees.
+18%
Illustrative yield improvement
-22%
Illustrative input waste
Daily
Fresh, unified data
The challenge
Field, weather, and market data lived in separate systems, so planning decisions were made late and on instinct rather than evidence.
What we did
- Built pipelines to ingest IoT sensor, weather, and market data
- Created predictive models for irrigation and harvest timing
- Delivered a dashboard tailored to on-the-ground decisions
- Added supply-chain traceability from field to buyer