A holistic non-destructive data driven demonstrator to quantify potato crops during growth to realise maximum marketable yield and help reduce waste, contributing to net zero emissions - TUBERSCAN-DEMO
In plain English
AI plain-English summaryPotato growers now have a way to see underground—without digging—using sensors that measure tuber size and number while the crop is still in the soil. The problem is timing. Harvest too early and potatoes are undersized; too late and they overshoot buyer specifications. Either way, up to a fifth of the crop can become unsaleable, wasting fuel, fertiliser, and water. Current methods rely on guesswork or destructive sampling. This project builds on a proof-of-concept system that combines ground-penetrating radar with above-ground plant data to calculate average tuber size and total yield across an entire field. If the demonstrator works at commercial scale, growers could make data-driven decisions about when to lift each part of a field, or even selectively harvest only the ready tubers. The project estimates a 5–10% increase in marketable UK potato production. That would reduce waste along the supply chain, cut the carbon footprint of wasted inputs, and help the potato industry move toward net-zero emissions. For consumers, it means more consistent supply and less food waste before it reaches the shop.
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