This paper introduces a data-driven framework for real-time climate risk assessment to improve supply chain resilience in Colombian agriculture. The approach combines short-term climate forecasting with supply chain risk modeling to create an early warning system. A prototype demonstrated that precipitation nowcasts can generate actionable risk indicators for agricultural supply chains, aiding decisions on inventory, sourcing, and transport. AI
IMPACT This framework could enhance agricultural supply chain management by providing real-time climate risk assessments.
RANK_REASON The cluster contains a single academic paper detailing a new framework. [lever_c_demoted from research: ic=1 ai=0.7]
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