AI-Driven Predictive Modeling for Biomass Carbon Sequestration and Decarbonization

As the urgency to mitigate climate change intensifies, carbon sequestration in biomass emerges as a key strategy for reducing atmospheric CO₂ concentrations. The integration of Artificial Intelligence (AI) with predictive modeling offers a revolutionary approach to optimizing biomass-based carbon capture, enhancing sequestration efficiency, and supporting global decarbonization efforts. This article explores AI-driven techniques in predictive modeling for biomass carbon sequestration, emphasizing machine learning (ML) algorithms, data sources, and real-world applications that contribute to sustainable environmental management.