Reformulating disease prediction as event detection within 3-7 day windows using ML on weather data enables better short-horizon vineyard risk warnings than daily classification.
Utilizing tabpfn transformer with iot environmental data for early prediction of grapevine diseases.AgriEngineer- ing, 7(6):173
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Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series
Reformulating disease prediction as event detection within 3-7 day windows using ML on weather data enables better short-horizon vineyard risk warnings than daily classification.