Field Vision
Continuous feedback loop on crop performance with AI-powered vision systems, harvest forecasting, and integrated agronomic modeling.
Available for testing in Q3 2026.
Sprayer-Mounted Vision System
Holo's field vision system uses advanced camera technology mounted on sprayers to continuously monitor crop performance throughout the growing season.
- 4× Teledyne FLIR Blackfly cameras for comprehensive field coverage
- Stand counts, growth rate, and size distribution analysis
Enhanced Harvest Forecasting
Holo combines field-level vision data with agronomic growth models to deliver materially more accurate harvest forecasts.
- Harvest timing driven by real-time crop vision fused with GDD, PAR, and ET models
- Yield forecasting based on observed biomass, historical harvest data, and grade indicators
- Marketable yield predictions informed by pack-out rates
ETc Modeling Integration
Field vision provides a continuous feedback loop that improves irrigation model accuracy.
- ETc validation using observed canopy development and crop response
- Adaptive irrigation schedules that adjust as conditions change
Pest & Disease Detection
Field vision surfaces early warning signals that trigger targeted crop health scouting and verification.
- Early warnings for potential pest and disease pressure at the block level
- Automated scouting tasks generated for managers and CPAs to verify in-field
- Closed-loop learning as verified scouting reports continuously improve detection models
Benefits
Field vision reduces uncertainty by providing earlier, more reliable insight into crop development at the block level. Improved harvest timing and yield forecasts enable tighter coordination across harvesting, packing, and sales. Continuously validated ETc models align irrigation and nutrient decisions with actual crop response, reducing waste. Early pest and disease warnings focus scouting and intervention, protecting pack-out rates and margins over time.