AIJul 8
AI-integrated models for assessing agricultural resilience
Joshua R. Waite, Dana Golden, Brett Indelicato, Kevin Camp, Mojdeh Saadati, Shannon Regan, Patrick Schnable, Baskar Ganapathysubramanian, Carlos Messina, Suzanne Thornsbury, Soumik Sarkar
arXiv:2607.077598.0h-index: 82
Predicted impact top 71% in AI · last 90 daysOriginality Synthesis-oriented
AI Analysis
It provides a novel interface for cross-disciplinary impact assessment in agriculture, but the approach is incremental.
The paper develops an AI-powered tool integrating economic and biophysical models to analyze agricultural supply chain shocks, enabling natural language queries for policymakers.
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.