Crop-field scale prediction of soil organic carbon in a complex terrain and its implications for nitrogen recommendation
This study aimed to evaluate the potential of spectral data in the Vis–NIR–SWIR region, combined with terrain and soil variables, for predicting soil organic carbon (SOC) using different machine learning algorithms, and to analyze the impact of these estimates on nitrogen recommendations for maize ( Zea mays...