
The intelligence layer to improve fruit crop yield
Commercial fruit orchards are capital-intensive operations where small changes in yield, timing, or labor allocation materially impact profitability. Many growers still rely on manual sampling and delayed reports to estimate crop load and plan field operations. Limited crop visibility leads to inefficient labor deployment, inconsistent input application, and missed revenue.
Vivid Machines applies Physical AI to specialty agriculture. Its AI-powered hardware-as-a-service platform combines computer vision, edge compute, and proprietary perception models to capture fruit count, size, and location directly in the field under real orchard conditions. These data are processed into accurate yield forecasts and operational insights that support labor planning and crop management decisions.
For growers and farm management organizations, this enables earlier yield visibility, tighter execution of thinning and pruning programs, and more efficient use of inputs. Vivid is also the only system enabling real-time control of autonomous sprayers at the tree level, integrating perception with action to bring precision automation to commercial orchards.