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English(EN) Agent-Based Modeling of Low-Emission Fertilizer Adoption for Dairy Farm Decarbonisation using Empirical Farm Data

AI模型模拟奶牛场脱碳的肥料采纳

研究人员开发了一个基于主体的建模框架,用于模拟爱尔兰奶牛场低排放肥料的采纳情况。该模型结合了社会传染、农场特征和政策干预,以预测脱碳轨迹。它估算了温室气体排放和成本权衡,与观察到的采纳模式高度一致,并预测饱和水平约为91%。 AI

影响 提供了一个新颖的模拟工具,用于评估农业领域的气候减缓策略。

排序理由 学术论文,详细介绍了用于模拟肥料采纳的新型基于主体的建模框架。

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AI模型模拟奶牛场脱碳的肥料采纳

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Surya Jayakumar, Kieran Sullivan, John McLaughlin, Christine OMeara, Indrakshi Dey ·

    Agent-Based Modeling of Low-Emission Fertilizer Adoption for Dairy Farm Decarbonisation using Empirical Farm Data

    arXiv:2605.03648v1 Announce Type: new Abstract: To understand complex system dynamics in dairy farming, it is essential to use modeling tools that capture farm heterogeneity, social interactions, and cumulative environmental impacts. This study proposes an agent-based modeling (A…

  2. arXiv cs.AI TIER_1 English(EN) · Indrakshi Dey ·

    Agent-Based Modeling of Low-Emission Fertilizer Adoption for Dairy Farm Decarbonisation using Empirical Farm Data

    To understand complex system dynamics in dairy farming, it is essential to use modeling tools that capture farm heterogeneity, social interactions, and cumulative environmental impacts. This study proposes an agent-based modeling (ABM) framework to simulate nitrogen management an…