Real-world soil carbon prediction using spectral data and machine learning

A machine learning workflow that predicts soil organic carbon from spectral data (VIS-NIR-SWIR-MIR) with built-in deployment safeguards. Uses memory-based learning to detect when incoming spectra fall outside the model's...