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AI framework proposed for resilient 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

影响 Proposes a framework to enhance the resilience of food supply chains through AI-driven agriculture.

排序理由 The cluster contains an academic paper proposing a new framework for AI-driven agriculture. [lever_c_demoted from research: ic=1 ai=1.0]

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  1. arXiv cs.AI TIER_1 English(EN) · Andrii Vakhnovskyi ·

    AI-Driven Controlled Environment Agriculture as Resilient Infrastructure for U.S. Fresh-Produce Supply Chains

    arXiv:2605.23946v1 Announce Type: cross Abstract: Climate volatility, regional production concentration, labor constraints, cyber risk, and dependence on long-distance fresh-produce supply chains expose vulnerabilities in U.S. fresh-produce and specialty-crop systems. Controlled …