AI-integrated models for assessing agricultural resilience
Researchers developed an AI-powered tool that integrates economic models (GTAP) with biophysical models (APSIM) to analyze supply chain shocks. It enables natural language queries for cross-disciplinary impact assessment.
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[Submitted on 8 Jul 2026]
Title:AI-integrated models for assessing agricultural resilience
View a PDF of the paper titled AI-integrated models for assessing agricultural resilience, by Joshua R. Waite and 10 other authors
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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.
Subjects:
Artificial Intelligence (cs.AI)
Cite as: arXiv:2607.07759 [cs.AI]
(or arXiv:2607.07759v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2607.07759
arXiv-issued DOI via DataCite
Submission history
From: Joshua Waite [view email] [v1] Wed, 8 Jul 2026 14:38:04 UTC (467 KB)
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