arXiv:2607.07759v1 Announce Type: new 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.
The increasing frequency and intensity of global supply chain disruptions and climate-related events are prompting urgent needs for advanced resilience assessment tools.
This development allows policymakers and market participants to proactively analyze and mitigate supply chain shocks in agriculture, enhancing global food security and economic stability via AI integration.
The ability to integrate complex economic and biophysical models with natural language queries democratizes access to sophisticated impact analysis, making critical insights more accessible.
- · Agricultural policymakers
- · Food supply chain companies
- · AI developers
- · Market participants
- · Traditional agricultural consulting firms
- · Regions overly reliant on single-source supply chains
Improved resilience planning and faster response to agricultural disruptions.
Potential for more stable food prices and reduced food waste due to better forecasting.
Increased investment in sustainable agricultural practices encouraged by clearer risk assessments and impact analyses.
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Read at arXiv cs.AI