Abstract
This paper explores how big data and AI can improve soil carbon storage assessments and contribute to climate change research. These technologies enhance measurement accuracy, optimize soil management practices, and inform climate policies by analyzing the complex relationships between soil carbon and climate factors. The paper discusses multi-objective optimization, real-time monitoring systems, and global soil carbon databases. Additionally, AI’s role in policy simulation and impact evaluation is highlighted as a tool for predicting and optimizing climate mitigation strategies. Ultimately, the integration of big data and AI provides a data-driven approach to enhancing climate resilience and achieving sustainable development goals.
