Crop simulation models, like DSSAT, allow for the exploration of crop performance under a
variety of soil, climate, and management scenarios. While crop model results are imperfect
and often represent idealized conditions, a main advantage of crop models is that they can
be run at a scale not feasible for actual crop trials. Crop model simulations can also aid in
evaluating management strategies under different soil and climate conditions.