A multi-objective parameter optimization framework for process-based crop models in data-sparse regions exemplified by AquaCrop-OSPy

Efficient and accurate calibration of nonlinear and discontinuous process-based crop growth models (PCGMs) remains a major concern for reliable simulation of biophysical crop growth processes in the regional-scale agricultural systems. To address this challenge, particularly in data-sparse regions, ... View More