AI RESEARCH

Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series

arXiv CS.LG

ArXi:2605.04548v1 Announce Type: new Accurate early warning of vineyard disease risk from environmental observations is essential for timely intervention and sustainable crop protection. However, many existing studies formulate disease prediction as daily presence classification, which can favor persistence-driven predictions and provide only limited for actionable short-horizon warning. In this paper, we present an event-based approach for early warning of vineyard disease risk from environmental time series and evaluate it through a vineyard.