GreenView AI says it can improve forecast accuracy to 90 per cent or more using footage of about three per cent of a grower’s crop
New AI-based technology promises to make soft fruit yield forecasting more accurate as climate change creates increasing unpredictability.
The tech firm in question, GreenView AI, noted that the UK’s heatwave in late May brought an early start to the 2026 strawberry harvest, causing uncertainty around staffing, sales and other logistics.
Inaccurate forecasting on a commercial scale can result in significant over or under-supply, volatile pricing, and significant food waste, the company, which was developed by agritech firm Bitwise Agronomy, pointed out.
To help avoid such problems, GreenView AI captures side-on footage of about three per cent of a grower’s crop using a GoPro camera during routine operations. The footage is then uploaded to an intelligent dashboard to create yield forecast data within 12 hours.
“Relying on grower instinct alone is not without its problems,” said vineyard owner Fiona Turner, CEO at Bitwise Agronomy. “Using this method, an average 10ha farm could waste 55,000kg of fruit per year from supermarket rejection alone. GreenView AI can improve forecast accuracy to 90 per cent or more.”
In 2025 alone, GreenView AI analysed over two billion blueberries, 36 million strawberries and 34mn raspberries worldwide. Several UK producers are already deploying the technology.
The Summer Berry Company in West Sussex harvests 8,500 tonnes of soft fruit a year and adopted GreenView AI earlier this year. The producer uses existing cameras installed on Saga UV robots, which are used to control powdery mildew. The recorded footage is automatically uploaded to the Greenview AI system.
“Extreme heat can result in a lot of volume very quickly,” explained The Summer Berry Company’s production manager Liviu Palade. “With new varieties, you need to be able to adapt and innovate, so we decided to try Greenview AI to get an accurate forecast, which is important from a commercial perspective.”
Monitoring three different strawberry varieties with different propagation profiles across 15ha, the GreenView AI software produces five-week forecasts for the team. This helps to support decision-making, planning customer supplies, and resources like picking and packing.
Palade doesn’t believe AI will entirely replace grower instinct, however. “Not every season is the same, and particularly in the early season, a grower knows better,” he said. “But Greenview AI can analyse a lot of data from big areas, and so far, the yield predictions gathered have been great.”
The forecasting accuracy will only improve as the system is adopted more widely across the UK, observing different varieties and how they behave, said Turner.
“For growers navigating an increasingly unpredictable climate, the data gathered will play an invaluable role in the future of soft-fruit growing.”
