Yield forecasting for the berry industry
Superhuman counts + big data + real-world ripening = precision forecasting at scale.
Manual forecasting works on 4 blocks. But if you’ve got 104? That’s where Bitwise Agronomy steps in.
GreenView AI
Bitwise Agronomy builds AI-powered yield forecasting tools for commercial berry growers. Our flagship product, GreenView AI, gives growers accurate 12-week rolling forecasts at around 90% accuracy.
Growers mount a GoPro camera on farm machinery, capture side-on video footage of approximately 3% of their crop, upload it, and receive interactive dashboards and spreadsheets within 12 hours. No drones, no sensors, no specialist equipment.
Our AI is built on 1000s of ripening curves across 100+ berry varieties, combined with growing degree days, weather data, and pick schedule information — so every farm, block, and microclimate gets its own personalised forecast.
Founded by farmers in 2019, Bitwise Agronomy is headquartered in Tasmania, Australia, and serves commercial berry growers across the UK, Europe, Australia, and South America.
How it works
Step 01
All you need is a GoPro camera to capture side-on video of around 3% of your crop.
Step 02
Upload your video footage and we’ll run it through our GreenView AI system.
Step 03
12 hours later we email out your forecasting documents as per your pick schedule.
Step 04
We review & optimise every 2 weeks for actionable insights across all seasons.
GreenView AI system in action:
Why use GreenView AI?
We help berry growers take the guesswork out of forecasting with precision tools designed for scale.
Forecast accuracy over 90%
Combine high-speed counts with 1000s of ripening curves - for accurate forecasts even up to 12 weeks in advance.
1000s of ripening curves
Thousands of ripening curves tailored to 100+ berry varieties—customised for your farm, block, and microclimate.
Instant counts + growth trends
GreenView Go app delivers instant real-time counts, growth trends and quality control insights in the field.
Plan for the whole season
A holistic view of the crop to predict harvest dates, forecast spray timing or rapidly attend to water stress levels.
Manage farm labour
Plan harvest well in advance to ensure you have the right staff, in the right places, at the right times.
Save time
Our AI sees what an agronomist sees - but more accurately - counting berries at superhuman speed across entire farms in minutes.
Produce more marketable fruit
Accurate yield forecasts and bespoke ripening curves help growers produce more marketable fruit.
Increase profits
Consistent, accurate forecasting = a higher market price. Advanced forecasting = improved gross margin.
Some of our customers
Latest news & insights
Meet the Expert: Salih Hodzhov, WB Chambers Farms
In the world of commercial berry farming, timing is everything. By using GreenView AI, WB Chambers Farms has transformed their approach—turning raw data into actionable insights that optimise labour, streamline logistics, and help maximise berry yield.
Read more
Meet the Expert: Jan Redpath, Angus Soft Fruits
Matching berry supply with retail demand is critical. Too much fruit leads to losses; too little strains key relationships. Jan Redpath, Technical Director at Angus Soft Fruits talks to us about logistics, automation and how AI has improved forecasting.
Read more
How to master the complexities of berry forecasting
Total tonnage for single-picking crops like apples is more straightforward to measure based on fruit number and weights. However, berries and other crops that require multiple harvests over an extended period are far more complicated to accurately forecast.
Read more
Growing degree days vs calendar days for forecasting
If you want to increase the accuracy of yield predictions it’s crucial to understand the importance of growing degree days (GDD) vs calendar days for forecasting. GreenView AI uses GDD, weather analysis, berry weigjts, pick schedule and historical info to increase forecast accuracy.
Read more
Last year our GreenView AI system counted…
Blueberries
Strawberries
Raspberries
Join over 70 growers in 11 different countries who are boosting forecast accuracy to around 90%.
