Global agricultural carbon emission efficiency: Using machine learning techniques to reveal driving factors and forecast future trends

Key Points

• Carbon emission efficiency in agriculture shows significant variation based on specific driving factors,
• Machine learning techniques help identify these factors and forecast future emission trends,
• Forecasting models were developed using historical data and machine learning algorithms to determine efficiency,
• Supports the need for enhanced agricultural practices by improving our understanding of carbon dynamics.