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English(EN) Real-Time Climate Risk Assessment for Supply Chain Resilience: A Data-Driven Nowcasting Framework for Colombian Agriculture

新框架利用气候即时预测提升哥伦比亚农业供应链韧性

本文介绍了一个数据驱动的实时气候风险评估框架,旨在提高哥伦比亚农业供应链的韧性。该方法结合了短期气候预测和供应链风险建模,以创建预警系统。原型表明,降水即时预测可以为农业供应链生成可操作的风险指标,有助于库存、采购和运输决策。 AI

影响 该框架可以通过提供实时气候风险评估来加强农业供应链管理。

排序理由 该集群包含一篇详细介绍新框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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新框架利用气候即时预测提升哥伦比亚农业供应链韧性

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该集群包含一篇详细介绍新框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Hernan J. Silva-Sosa ·

    哥伦比亚农业的实时气候风险评估以增强供应链韧性:一个数据驱动的即时预测框架

    arXiv:2608.09846v1 Announce Type: new Abstract: This paper presents a methodological framework for real-time climate risk assessment using data-driven nowcasting techniques to enhance supply chain resilience in Colombian agricultural contexts. Climate variability in Colombia, cha…