AI-integrated models for assessing agricultural resilience
Artificial Intelligence
2026-07-08 v1
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.
Keywords
Cite
@article{arxiv.2607.07759,
title = {AI-integrated models for assessing agricultural resilience},
author = {Joshua R. Waite and Dana Golden and Brett Indelicato and Kevin Camp and Mojdeh Saadati and Shannon Regan and Patrick Schnable and Baskar Ganapathysubramanian and Carlos Messina and Suzanne Thornsbury and Soumik Sarkar},
journal= {arXiv preprint arXiv:2607.07759},
year = {2026}
}