Abstract
Agricultural supply chains are vulnerable to disruptions through linked biophysical and economic systems. This paper develops 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 natural language queries and responses.
Key Technologies
- Integration of Economic and Biophysical Models: This study combines the GTAP economic model with the APSIM biophysical model to provide a comprehensive analysis of vulnerabilities in agricultural supply chains.
- Natural Language Processing: By leveraging natural language processing, users can obtain complex analytical results through simple queries, enhancing decision-making efficiency.
Conclusion
This AI-integrated model offers a new perspective for the agricultural sector, assisting stakeholders in timely responses to potential risks in supply chains.
Blogger's Review: This article highlights the potential of AI in assessing agricultural supply chain resilience, advancing interdisciplinary collaboration and innovation by integrating economic and biophysical models. The application of similar models may have profound implications for agricultural policy-making in the future.