Researchers propose AI tool integrating economic and biophysical models to assess agricultural supply chain shocks

A new open-access paper on arXiv proposes an AI-integrated tool that combines economic and biophysical models to assess disruptions in agricultural supply chains. The work links the Global Trade Analysis Project (GTAP) economic model with the Agricultural Production Systems sIMulator (APSIM) biophysical model, enabling users to analyze linked shocks across systems.

The authors state the tool accepts natural-language queries and returns cross-disciplinary impact assessments, aiming to support policymakers and market participants in evaluating potential disruptions. The paper describes the integration architecture and provides a case study demonstrating how the system can be used to explore supply chain vulnerabilities.

The preprint, titled 'AI-integrated models for assessing agricultural resilience,' was submitted on July 8, 2026, and lists 11 authors from multiple institutions. The authors include Joshua R. Waite, Dana Golden, Brett Indelicato, Kevin Camp, Mojdeh Saadati, Shannon Regan, Patrick Schnable, Baskar Ganapathysubramanian, Carlos Messina, Suzanne Thornsbury, and Soumik Sarkar.

The paper is available as arXiv:2607.07759 and is supported by major funders, though specific funding amounts are not disclosed. The authors acknowledge support from their institutions and contributors, and the work is presented as an open-access submission.