Forecast precision reached 89% and input optimization lowered costs by 17% across pilot farms.
An agritech company lacked an integrated view of farm sensor data, weather forecasts, and field operations, limiting the reliability of yield predictions and input planning.
We built an analytics platform that fuses IoT telemetry, agronomic data, and weather patterns into farm-level yield forecasts with actionable recommendations for irrigation and input timing.
Yield forecast precision reached 89%
Input cost reduced by 17% in pilot regions
Decision lead time improved by several days per cycle
Farm operations teams adopted weekly planning workflows
“This platform turned raw field data into decisions our agronomy teams can actually use each week.”
Chief Agronomist
AgriTech Company
