UF scientists use AI technology to breed better-tasting strawberries
Consumer panels are the tried-and-true method for UF researchers to gauge whether new fruit varieties taste good enough to keep developing them for the market. But, in the evolving world of AI, a computer can now tell scientists what strawberries taste and smell like – and therefore, whether a variety is worth more genetic breeding efforts.
After all, strawberries are a $300 million-a-year industry in Florida – and many consumers crave them.
Vance Whitaker, a UF/IFAS associate professor of horticultural sciences, used an algorithm that gives him the ability to predict how a strawberry will taste, based on the chemical constitution of its fruit. The computer method also takes less time than volunteer test panels.
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