Aug 2026
Hybrid machine learning and kriging approaches for predicting and mapping soil salinity in an arid region
Results showed that hybrid ML-Kriging models outperformed standalone algorithms, with RF–SK achieving the best performance, and highlight the value of hybrid ML-Kriging for accurate and transferable salinity prediction in arid irrigated systems.
S. Boudibi, A. Mihoub, M. Mesnoua et al.
· International Journal of Env... · 0 citations