Agentic AI can bridge the gap between weather forecasting and agricultural impact prediction by combining multiple data sources through causal reasoning, enabling faster disaster response for farmers and policymakers.
WxCrop is an AI agent that predicts crop losses from extreme weather by combining weather forecasts with agricultural data. It uses physically interpretable weather indices and causal analysis to estimate which crops will be damaged and by how much, validated on hurricane, freeze, and drought impacts in Florida with results matching insurance records and production data.