AI-Driven Controlled Environment Agriculture as Resilient Infrastructure for U.S. Fresh-Produce Supply Chains
A new paper proposes a framework for evaluating AI-driven controlled environment agriculture (CEA) as resilient infrastructure for U.S. fresh-produce supply chains. The framework, CEA-RIF 2.0, assesses seven dimensions including supply continuity, climate isolation, and cyber-physical reliability. The paper argues that AI enhances resilience by improving operational outcomes like energy flexibility and yield consistency, reframing AI-driven CEA as a cyber-physical infrastructure problem. AI
IMPACT Proposes a framework to enhance the resilience of food supply chains through AI-driven agriculture.