PulseAugur
LIVE 13:08:51
research · [2 sources] ·
0
research

AI model simulates fertilizer adoption for dairy farm decarbonization

Researchers have developed an agent-based modeling framework to simulate the adoption of low-emission fertilizers on Irish dairy farms. The model incorporates social contagion, farm characteristics, and policy interventions to predict decarbonization trajectories. It estimates greenhouse gas emissions and cost trade-offs, showing strong agreement with observed adoption patterns and predicting a saturation level of approximately 91%. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Provides a novel simulation tool for evaluating climate mitigation strategies in agriculture.

RANK_REASON Academic paper detailing a new agent-based modeling framework for simulating fertilizer adoption.

Read on arXiv cs.AI →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 · 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 · 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…