Wide and Deep network-based spectral fusion of LIBS-NIRS for enhancing soil organic carbon estimation accuracy

Key Points

• The aim is to enhance the accuracy of soil organic carbon estimation using advanced spectral fusion techniques.
• Utilized wide and deep network models for spectral data analysis.
• Combined data from near-infrared spectroscopy (NIRS) and laser-induced breakdown spectroscopy (LIBS).
• Analyzed the performance of the model in predicting soil organic carbon content.
• Achieved significant improvements in estimation accuracy compared to traditional methods.
• Demonstrated better model performance across different soil types.
• Highlighted the effectiveness of spectral fusion in enhancing data interpretation.