{"ID":6267603,"CreatedAt":"2026-07-10T01:11:38.759438437Z","UpdatedAt":"2026-07-11T14:35:24.647767831Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.07759","arxiv_id":"2607.07759","title":"AI-integrated models for assessing agricultural resilience","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.","short_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 impact...","url_abs":"https://arxiv.org/abs/2607.07759","url_pdf":"https://arxiv.org/pdf/2607.07759v1","authors":"[\"Joshua R. Waite\",\"Dana Golden\",\"Brett Indelicato\",\"Kevin Camp\",\"Mojdeh Saadati\",\"Shannon Regan\",\"Patrick Schnable\",\"Baskar Ganapathysubramanian\",\"Carlos Messina\",\"Suzanne Thornsbury\",\"Soumik Sarkar\"]","published":"2026-07-08T14:38:04Z","proceeding":"cs.AI","tasks":"[\"cs.AI\"]","methods":"[]","has_code":false}