AI-integrated models for assessing agricultural resilience

用于评估农业韧性的 AI 集成模型

Abstract: Agricultural supply chains are vulnerable to disruptions through linked biophysical and economic systems. We develop an AI-powered tool that integrates economic models (GTAP) with biophysical models (APSIM) to analyze supply chain shocks, enabling policymakers and market participants to assess cross-disciplinary impacts through queries and responses written in natural language.

摘要： 农业供应链极易受到相互关联的生物物理和经济系统中断的影响。我们开发了一种人工智能驱动的工具，将经济模型（GTAP）与生物物理模型（APSIM）相结合，用于分析供应链冲击。该工具使政策制定者和市场参与者能够通过自然语言编写的查询和响应，来评估跨学科的影响。

Paper Details:

Authors: Joshua R. Waite, Dana Golden, Brett Indelicato, Kevin Camp, Mojdeh Saadati, Shannon Regan, Patrick Schnable, Baskar Ganapathysubramanian, Carlos Messina, Suzanne Thornsbury, Soumik Sarkar
arXiv ID: 2607.07759 (cs.AI)
Submitted: 8 Jul 2026

论文详情：

作者： Joshua R. Waite, Dana Golden, Brett Indelicato, Kevin Camp, Mojdeh Saadati, Shannon Regan, Patrick Schnable, Baskar Ganapathysubramanian, Carlos Messina, Suzanne Thornsbury, Soumik Sarkar
arXiv ID： 2607.07759 (cs.AI)
提交日期： 2026 年 7 月 8 日