Open access
Sep 2026
Interpretable Machine Learning Identifies Nitrogen Turnover Signatures in Soil Ammonia Emissions
Soil ammonia (NH3) emissions are a major pathway for reactive nitrogen loss, but their spatial variability is difficult to explain using equilibrium-based approaches alone. This study evaluated whether machine learning can improve the interpretation of NH3 flux by identifying informative soil predictors. NH3 flux, soil...
Eszter Tóth, Zoltán Bozóki, László Horváth et al.
· Nitrogen · 0 citations