During the 1976-2003 period, research consolidated around process-based modeling of agricultural systems, integrating crop physiology, soil processes, hydrology, and climate into unified simulation frameworks. The dominant approach combined mechanistic crop-growth models, resource-use efficiency concepts, and satellite- and climate-informed data to support scenario analysis, land-management optimization, and climate-mitigating planning. Researchers increasingly pursued cross-scale predictions and data-driven calibration, fostering comparability across models and enabling policy-relevant assessments of cropping systems under variable weather and management.