Modelling is important in soil science as it aggregates the physical, chemical, and biological processes in a particular soil and forecasts its behavior along with ecosystem services it offers. Soil science is an interdisciplinary discipline ranging from the micro-scale to the landscape scale. It facilitates scenario analysis and decision-making at different scales. There are a number of models that mimic various processes, e.g.; hydrological models (SWAT), soilcrop models (DSSAT), organic matter models (RothC), and microbial models that mimic water flow, crop yields, carbon, and nutrient cycling. Traditionally, true integration of various processes has been challenging. New process representations transcending scale integration challenges and AI-facilitated approaches are enhancing model precision and multipurpose application. Soil models continue to be central towards meeting global goals, integrated food systems and climate change adaptive strategies.