A bioeconomic model of weed management in corn and soybean called WEEDSIM is introduced. WEEDSIM innovates beyond existing decision support models by incorporating weed population dynamics into the decision rule, while at the same time accomodating multiple weed species and control treatments. The associated WFARM model provides a whole-farm shell, making it possible either to modify WEEDSIM recommendations in a context where field time is limiting, or to evaluate the performance of WEEDSIM recommendations over various states of nature. WEEDSIM and WFARM are modularly programmed and rely on external data files, making then easily modified and expanded.
Bibliographical noteFunding Information:
support from the Michigan Agricultural Experiment Station, a University of Minnesota Doctoral Dissertation Fellowship, and a grant from the Agricultural Research Service of the US Department of Agriculture.