SmartNet integrates with existing precision-ag hardware — GPS-guided equipment, yield monitors, soil sensors — to turn the data that's already being collected into field-by-field recommendations on seeding rate, fertilizer application, and irrigation timing.

We also build predictive models for pest and disease pressure using regional weather and historical outbreak data, giving operations managers a lead time on treatment decisions measured in days, not hours.

How Does AI Optimize the Broader Supply Chain?

For agribusinesses managing storage, transport, and sale timing, SmartNet builds demand and futures-price forecasting models that inform when to sell versus store — directly affecting realized margin on a commodity crop.

We also work with equipment and input suppliers to build predictive maintenance models for farm machinery, reducing costly downtime during planting and harvest windows where timing is everything.