A bioeconomic model of weed management in corn and soybean called WEED
SIM is introduced. WEEDSIM innovates beyond existing decision support
models by incorporating weed population dynamics into the decision rul
e, while at the same time accommodating multiple weed species and cont
rol treatments. The associated WFARM model provides a whole-farm shell
, making it possible either to modify WEEDSIM recommendations in a con
text where field time is limiting, or to evaluate the performance of W
EEDSIM recommendations over various states of nature. WEEDSIM and WFAR
M are modularly programmed and rely on external data files, making the
n easily modified and expanded.