AI-Powered Sensor Instantly Measures Grape Ripeness in Vineyards

2026-02-02

New handheld device aims to revolutionize wine production by providing real-time data and reducing labor-intensive sampling methods.

Researchers at Queen Mary University of London have developed a new handheld sensor called RipenAI that uses artificial intelligence to measure grape ripeness instantly in the vineyard. The device, created by Professor Lei Su and Dr. Xuechun Wang, is designed to help winemakers make better decisions about when to harvest grapes, a key factor in producing high-quality wine.

RipenAI works by using optical sensors to analyze how grapes absorb and reflect different wavelengths of light. As grapes ripen, their chemical makeup changes, which affects their optical properties. The device’s AI algorithms interpret these changes to estimate ripeness without damaging the fruit. This approach replaces traditional methods that require picking and destroying grape samples for laboratory analysis, which can be slow and labor-intensive.

The technology can be used as a handheld tool by grape pickers or installed throughout vineyards for continuous monitoring. The team at Queen Mary is also working with Extend Robotics and Saffron Grange Vineyard to integrate RipenAI into robotic grape-picking systems, aiming to automate and further improve the harvesting process.

Nick Edwards, Director at Saffron Grange Vineyard, said that making the right decision about when to harvest is crucial for wine quality. He explained that RipenAI allows growers to check the same bunches repeatedly during the ripening period, giving a clearer picture of how ripeness is progressing. The device provides instant results, reducing the time and labor needed for sampling and analysis.

Picking grapes at the optimal moment can also reduce the need for later adjustments in the winery, such as changing acidity or adding sugar. This helps producers create higher-quality wines with less intervention. Professor Lei Su said that RipenAI represents a step forward for smart harvesting in an industry where timing and precision are critical.

After successful early field trials, the researchers are now looking for more vineyards, agritech companies, and fruit orchards to test a new prototype during the next harvest season. Britain’s wine industry has been growing rapidly in recent years, and tools like RipenAI could help producers keep up with demand while maintaining quality standards.