GreenView AI
The connective tissue between conditions and decisions
Yield forecasting is where environmental data becomes planning confidence. GreenView AI translates on-farm conditions — GDD accumulation, disease pressure, moisture patterns — into yield estimates, harvest timing, and labor plans you can act on. When grounded in real microclimate data from METOS weather stations rather than regional averages, forecasts reflect actual biology. Developed by Bitwise Agronomy, distributed exclusively in the US by innov8.ag.
💰 Reduce harvest labor over-staffing by 10-15% and improve pack-out rates through optimized pick timing
What GreenView AI does
In-Season Yield Estimation
Computer vision analyzes fruit load and sizing throughout the season, providing yield confidence weeks before harvest.
Forecast Accuracy Tracking
Predictions improve as the season progresses. See confidence intervals and track how estimates converge toward final yield.
Harvest Timing Optimization
Maturity modeling combined with yield data helps schedule picks for optimal quality and labor efficiency.
Labor Planning Integration
Connect yield forecasts directly to crew scheduling. Know how many pickers you need, when you need them.
Block-Level Insights
Identify high and low performing blocks early. Adjust harvest resources and sales commitments accordingly.
Mobile Data Collection
Field scouts capture images on standard smartphones. No specialized equipment required for data input.
What's included
- GreenView AI platform access
- Mobile image capture training
- In-season yield forecasts with confidence intervals
- Block-level performance reports
- Harvest timing recommendations
- Labor planning integration support
- Season summary and accuracy analysis
Typical deployment
Implementation time
1-2 weeks
Setup begins with platform onboarding and mobile app training for your field team. Data collection protocols are established before fruit set, with yield reports delivered throughout the growing season.
Integrates with
Real results
Where yield forecasting sits in the system
Raw weather data doesn't tell you when to pick or how many crews to schedule. And irrigation software doesn't know what your crop is doing. Yield forecasting is the layer that turns environmental measurement into operational planning.
Upstream: Environmental data
METOS weather stations capture GDD, disease pressure, frost risk, and moisture at the block level. This is what makes yield predictions biologically grounded.
Explore Environmental IntelligenceThis layer: Yield forecasting
GreenView AI models ripening curves, harvest windows, and yield volume — translating environmental conditions into the numbers your team needs for labor, sales, and logistics.
Downstream: Operational action
Irrigation timing, crew scheduling, and harvest execution are informed by yield forecasts — ensuring decisions reflect what's actually happening in the field.
Explore Irrigation & Crop QualityWhere GreenView AI fits in your operation
GreenView AI translates environmental conditions into yield estimates and harvest timing—the connective tissue between measurement and action.
Environmental Intelligence
METOS 5 weather stations capture GDD, disease pressure, frost risk, and moisture at the block level. This is the foundation — real conditions, not regional averages.
Learn more
Yield Forecasting
GreenView AI models ripening curves, harvest windows, and yield volume — turning raw weather data into planning confidence for labor, sales, and logistics.
Irrigation & Crop Quality
SWAN Systems translates environmental and crop data into precise irrigation schedules — protecting fruit quality, reducing waste, and improving packout.
Learn more
Related products
Environmental Intelligence
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Every reliable forecast, every well-timed irrigation event, and every confident harvest plan starts with knowing what's ...
Irrigation & Crop Quality
The action layer — where environmental data becomes better water decisions
Irrigation timing isn't just about water use — it directly affects fruit quality, stress response, disease pressure, and...
FairPick™
NTEP-certified digital piece-rate harvest tracking
Replace paper tickets with real-time digital tracking. Every pick is recorded instantly with weight, time, location, and...
Frequently asked questions
What crops does GreenView AI support?
GreenView AI was developed specifically for blueberry production and has been validated across major growing regions. The platform continues to expand crop coverage based on grower demand and research partnerships.
How early in the season can I get yield estimates?
Initial estimates are available once fruit set is visible, typically 6-8 weeks before harvest. Accuracy improves throughout the season as the model incorporates more observations and fruit development data.
What equipment do I need?
Standard smartphones are used for image capture—no specialized sensors or drones required. Your field scouts use a simple mobile app to collect the images that feed the AI model.
How accurate are the forecasts?
Accuracy depends on timing and sampling density, but mature deployments typically achieve 90%+ accuracy by 3-4 weeks before harvest. When paired with METOS on-farm weather stations, predictions are further refined using real microclimate data—GDD, disease pressure, and moisture patterns—rather than regional weather assumptions.
Can this integrate with our harvest management systems?
Yes. GreenView AI is designed to feed into labor planning and harvest logistics. Through innov8.ag, it integrates with FairPick and other harvest management tools for end-to-end visibility.
How does yield forecasting connect to environmental intelligence and irrigation?
GreenView AI sits between measurement and action. METOS weather stations provide the environmental conditions that influence crop development, and yield forecasts translate those conditions into harvest timing and labor plans. That same environmental data also feeds into irrigation partners like SWAN Systems — so water decisions, yield predictions, and harvest execution all draw from the same on-farm reality.
Ready to get started with GreenView AI?
Most growers are up and running within 1-2 weeks. See how GreenView AI can work for your operation.