Assessing Climate Change Adaptation Strategies in Agriculture using Agent-Based Modeling

Abstract

This project seeks to analyze the complex dynamics of climate change adaptation techniques in agriculture by investigating the synergistic link between diverse agricultural practices and technology intervention s via agent-based modeling. The experimental data, consisting of synthetic datasets, clarifies the iterative adaptation process by illustrating examples such as “Drought Resistant Crop-alpha” and “Water Conservation System-beta,” which demonstrate the effectiveness of swift modifications to evolving climatic circumstances. The revolutionary influence of technology adoption is shown by developments such as “Smart Irrigation-Enhanced,” which underscores its ability to improve resilience and production. The seamless integration of these methods across all agricultural phases, from initial acceptance to extensive application, highlights their interrelated and mutually reinforcing connection. Confronting difficulties, especially those associated with socio-economic dynamics and resource allocation, requires the integration of ethical and policy considerations. This study offers critical insights into the essential comprehension of climate adaptation techniques, which will inform future research and underscore the need for ethical frameworks in enhancing the efficacy of agent-based models for agricultural resilience.