From extreme weather to agricultural consequences with agentic AI
WxCrop is presented, the first agent that judges agricultural hazards from physically interpretable weather indices examined by causal analysis, and the first that combines weather and agricultural information to predict crop loss reliably for past and forecast dates.
Ming-Han Yu, Meng-Yu Dai, Yi-Xin Wen et al.
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