AI-Driven Controlled Environment Agriculture Framework for U.S. Fresh-Produce Supply Chains
A new paper proposes the CEA-RIF 2.0 framework, aimed at enhancing AI-driven controlled environment agriculture (CEA) in the United States. This framework addresses vulnerabilities in the U.S. fresh-produce supply chains by evaluating seven critical dimensions, including supply continuity and climate isolation. The authors highlight recent failures in venture-backed vertical farming initiatives and emphasize that the framework draws insights from U.S. government reports. Published on arXiv with ID 2605.23946, it focuses on developing targeted regional infrastructure rather than a one-size-fits-all solution.
Key facts
- Paper proposes CEA-RIF 2.0 framework for AI-driven CEA
- Addresses vulnerabilities in U.S. fresh-produce supply chains
- Seven dimensions assessed: supply continuity, climate isolation, energy and grid integration, water and nutrient circularity, cyber-physical reliability, economic viability, governance and deployment
- Recent failures in venture-backed vertical farming noted
- Framework draws on U.S. government reports
- Published on arXiv with ID 2605.23946
- Focus on targeted regional infrastructure, not universal solution
Entities
Institutions
- arXiv
Locations
- United States