Bitwise GreenView
The connective tissue between conditions and decisions
Bitwise GreenView uses computer vision and machine learning to turn GoPro video footage into accurate yield forecasts — counting fruit, tracking ripening, and predicting harvest volume at the plant level. Mount a GoPro on any farm vehicle, capture side-on video of ~5% of your crop, and GreenView delivers block-level yield estimates with 90%+ accuracy. Over 200 ripening curves tailored to 60+ berry varieties and grapes, customized for each farm, block, and microclimate. 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 Bitwise GreenView does
In-Season Yield Estimation
Computer vision analyzes GoPro video footage to count fruit and track sizing throughout the season — processing 5,000+ plants per day vs. 4-8 by manual count.
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.
GoPro Data Capture
Mount a GoPro camera on any existing farm vehicle and capture side-on video at normal driving speed. Extract the SD card, upload overnight. GreenView Go app provides real-time field insights.
What's included
- Bitwise GreenView platform access
- GoPro camera setup and capture training
- GreenView Go mobile app access
- In-season yield forecasts with confidence intervals
- Block-level performance reports
- Virtual farm mapping for crop-wide comparison
- Harvest timing recommendations
- Labor planning integration support
- Season summary and accuracy analysis
Typical deployment
Implementation time
1-2 weeks
Mount a GoPro camera on your side-by-side, ATV, or tractor. Capture side-on video of ~5% of your crop at normal driving speed. Extract the SD card and upload videos to the GreenView cloud portal overnight. AI processes footage and delivers block-level yield reports. Ripening curves are calibrated to your specific varieties, farm, and microclimate. innov8.ag provides setup, training, and integration support throughout the 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
Bitwise GreenView turns GoPro video footage into berry yield forecasts — counting fruit, modeling 200+ ripening curves, and predicting harvest volume at the plant level. 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 Bitwise GreenView fits in your operation
Bitwise GreenView translates environmental conditions into berry yield estimates and harvest timing—the connective tissue between measurement and action.
Capture field conditions
METOS weather stations measure environment at the block level. Green Atlas Cartographer maps canopy structure, crop load, and fruit development. SoilOptix reveals soil variability. Together, these sensing layers ground every downstream decision in real field data.
Turn data into intelligence
Bitwise GreenView models ripening curves and berry yield volume for harvest and labor planning. Green Atlas analytics reveal spatial variability in canopy and crop load. SWAN Systems models irrigation needs from environmental and soil data.
Optimize & execute decisions
SWAN Systems translates environmental and crop data into precise irrigation schedules. Green Atlas prescription maps target inputs to the zones that need them — spray, fertilizer, thinning, and pruning.
Precision application
Red Ant Agri Smart Nodes execute Green Atlas and SoilOptix prescriptions on existing equipment — precise variable-rate application of fertilizer, lime, and crop protection with GPS-tracked verification.
Related products
Environmental Intelligence
The measurement layer that powers every downstream decision
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, legal-for-trade digital harvest scale
Replace punch cards and paper tickets with real-time digital tracking. Every pick is weighed and recorded instantly—weig...
Frequently asked questions
What crops does Bitwise GreenView support?
Bitwise GreenView supports 60+ berry varieties — blueberries, strawberries, raspberries, and blackberries — plus wine grapes and table grapes. The platform is continuously expanding crop coverage, with Bitwise Agronomy's global network validating new varieties each season.
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?
A GoPro camera mounted on any existing farm vehicle — side-by-side, ATV, or tractor. Capture side-on video at normal driving speed. The GreenView Go app provides real-time field insights from your phone.
How accurate are the forecasts?
Bitwise GreenView delivers 90%+ forecast accuracy, even up to 12 weeks before harvest. Accuracy improves as the season progresses with additional observations. The system processes 5,000+ plants per day — compared to 4-8 plants per day by manual count — using over 200 ripening curves tailored to 60+ varieties and customized for your specific farm, block, and microclimate.
Can this integrate with our harvest management systems?
Yes. Bitwise GreenView 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?
Bitwise GreenView 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 Bitwise GreenView?
Most growers are up and running within 1-2 weeks. See how Bitwise GreenView can work for your operation.