A new study in Nature Food uses machine learning to develop best management practices for composting that reduce net greenhouse gas emissions. The goal is to shift composting from a net emitter of methane and nitrous oxide to a carbon sink, which could have significant implications for agricultural emissions and carbon markets. The research offers a data-driven approach to optimize composting conditions, potentially lowering the carbon footprint of organic waste management. For carbon credit projects and climate policy, this could open new pathways for verified emission reductions in the agriculture sector.
