UF Digital Twin Technology Enhances Strawberry Farming with AI Tools and Cost Savings

Florida’s strawberry production occurs from November to April, but digital twin technology allows for year-round research on strawberry growth. Researchers at the University of Florida, led by Dana Choi, have developed a virtual replica of a strawberry field, enabling the simulation of real-world farming conditions. Their AI-powered robotic system achieved 92% accuracy in detecting strawberries solely through simulation, streamlining the development of innovative robotic tools. This approach benefits the $500 million Florida and $2 billion U.S. strawberry industries by reducing development costs and enabling quick prototyping and testing of new technologies without the seasonal constraints of real fields. The digital twin allows for the precise estimation of fruit size and volume, aiding growers in yield predictions and optimal harvest timings. Ultimately, this technology enhances efficiency and accelerates the advancement of agricultural machinery, making it easier to transition from idea to implementation.

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