GreenView AI for Berries
Superhuman counts + big data + real-world ripening = precision forecasting at scale.
Why use the GreenView AI system?
The yield forecasting tool built for commercial berry growers
GreenView AI gives large-scale berry growers accurate 12-week rolling harvest forecasts — at around 90% accuracy or better. Updated weekly, the forecasts cover every farm, block, and microclimate, so growers can commit volumes to marketing companies, plan picking crews, and book cold chain logistics with confidence.
Powerful AI. Standard GoPro. Nothing else.
There’s no drones, no sensors, and no specialist equipment. Growers mount a standard GoPro camera on farm machinery and capture side-on video footage of approximately 3% of their crop, during normal farm operations. Upload the footage, and within 12 hours GreenView AI delivers interactive dashboards, heatmaps, and spreadsheets — straight to your inbox.
Built on the deepest dataset in the industry
GreenView AI draws on 1000s of ripening curves across 100+ berry varieties, developed from 35 growing seasons of global data and refined continuously. Combined with growing degree days and real-time weather data, every forecast is personalised to your specific varieties, your blocks, and your growing conditions — not a generic average.
How it works
Step 01
All you need is a GoPro camera to capture side-on video of around 3% of your crop.
Step 03
12 hours later we email out your forecasting documents as per your pick schedule.
Step 02
Upload your video footage and we’ll run it through our GreenView AI system.
Step 04
We review & optimise every 2 weeks for actionable insights across all seasons.
How we help berry farms
Precision short and long-term forecasts
GreenView’s dashboards combine AI-powered fruit counts with thousands of ripening curves for 100+ berry varieties—tailored to your farm, block, and microclimate. This means you, and your marketers, can plan with confidence weeks or even months ahead to secure the best price.
Superhuman vision for your berries
We’ve taught GreenView AI to see like an agronomist—only faster, more consistent, and more accurate. Entire farms are scanned in minutes, delivering the detail you need without the delays.
Ripening curves you can trust
Our ripening curves are built from years of global berry data and fine-tuned to your specific conditions. They show exactly when fruit will be ready to pick—helping you schedule harvests, labour, and logistics with pinpoint precision.
Track phenological stages
From flowering to harvest, the GreenView AI system shows you exactly where each block is in its development so you can plan interventions and manage your crop more effectively.
Actionable insights at scale
Know when and where to send your teams. With GreenView’s AI forecasting, you can match labour to demand, direct picking crews to the right rows, and optimise every harvest window.
Simple to use
Just capture video footage, upload it, and let GreenView AI do the rest. No mountains of raw data—just clear, easy-to-read dashboards and maps that tell you exactly what’s happening in your crop.
No specialist equipment needed
All you need is a GoPro camera. No drones, no sensors, no complicated software. Buy a GoPro online, sign up to GreenView, and you’re ready to start forecasting like the best in the business.
Hear from our customers:
WB Chambers is now the largest grower of cane fruits (raspberries and blackberries) in the UK with contracts to supply all the major supermarkets chains, including year-round supply deals with Sainsburys and Aldi. This involves sourcing and importing fruit from around the world to ensure a continuous supply throughout the year.
Chief Operating Officer, Salih Hodzhov, began working for Chambers 25 years ago as a fruit picker visiting from his village in Bulgaria where his parents grew tobacco.
“Soft fruit is a high-value crop with a very short shelf life, so accurate prediction helps in selling to supermarkets, they want to know in advance how much fruit you will harvest and when.”
“If too much fruit is harvested and put on the market suddenly prices can drop, or you can’t sell it and the fruit goes to waste. Equally if we can’t meet demand or deliver the volume we promised, there is a huge financial implication for us. Accurate forecasts help maintain stable prices and supply.”
“Another issue is that soft fruit is a very labour-intensive crop so we need to make sure we have enough people to harvest at the right time so forecasts are important for that too. It’s also a big transport and logistics operation.”
Traditionally, predicting harvests involved using historical data and people walking through the rows to visually assess fruit colour and estimate readiness, which was subjective and relied on their experience and ability to see a big enough sample of fruit. “We’ve got 85 hectares of strawberries and 200 hectares of raspberries, so we don’t have enough people to cover that huge area.”
“We’ve been using Bitwise Ag for about three years now, and have witnessed first-hand how the harvest predictions keep getting better. There was scepticism at first because growers don’t believe that anyone can do it better than us, but after trying it, I’ve found it to be a good system that provides valuable data and we know it’s still evolving.”
“Bitwise Ag is much more objective – the data is factual, not an opinion – it can look at big areas and is much more exact, so we can make much better-informed operational decisions so there is a lot of benefit.”
Jan Redpath is the Technical Director of Angus Soft Fruits. Established in 1994 by three local growers, Angus Soft Fruits has grown into a leading breeder, grower, packer and distributor of premium berries. Through strong partnerships across the UK and worldwide, the company supplies retailers in the UK, Europe, the Middle East and Asia with high-quality berries all year round.
“Berries are the least predictable fruit in terms of harvesting and demand. Even predicting next week is a challenge… fruits are ripening with unexpected flushes … and there’s fluctuating demand on the customer side.”
“When we’ve got unexpected extra tonnage… we can’t keep it in cold store… This leads to distress selling… and it’s not a profitable outcome for our growers.”
“GreenView AI obviously sees things that are factual… The human may count berries in one or two locations… but that’s nowhere near enough to develop a forecast.”
Using AI allows us to bring scale and consistency, while growers contribute on-the-ground knowledge such as tunnel ventilation plans and picking schedules.
Richard Winspear is the Managing Director of Berried In Tas, a state-of-the-art fruit farm in Tasmania, Australia. The business now sells 600 tonnes of strawberries and 220 tonnes of raspberries to customers around Tasmania and Australia under the brand name Perfection. Berried in Tas uses the GreenView AI system to increase the accuracy and reliability of their forecasting.
“One of the big problems we face as a berry farm is forecasting. Forecasting is at the heart of everything we do. It relates to all our planning around packaging, staffing, and also selling our fruit to the end customer. Bitwise Ag has allowed us to take a great leap forward in the accuracy and reliability of our forecasting. We’re able to collect more data, in less time, and really eliminate some of the human error that we found was inherent with our assumed inputs. One of the great features with the GreenView AI system is the mapping tool – it often picks up a lot of issues around pests or disease, or if there’s any irrigation problems in certain blocks.”