Mechanistic Pedotransfer Functions for Soil Property Prediction Integrating Process Based Modeling and Data Driven Approaches
This review synthesizes the development, theoretical foundations, and applications of mechanistic pedotransfer functions (MPTFs), which integrate process-based modeling with data-driven approaches to overcome the limitations of traditional empirical methods by offering greater physical realism, interpretability, and predictive capability for sustainable soil management.