Spatially variable application techniques can be used to apply Plant Growth Regulator (PGR) to cotton crops. Remote sensing can be used to generate prescriptions that guide the location of the PGR application on the crops. Maps of vegetation indices generated from the remotely sensed data indicate differing regions of vegetative health. Crop scouts using these maps can specify the vegetation index classes which correspond to the areas that need PGR application. Then spray rigs equipped with precision application equipment can target just these areas for application. This paper discusses an experiment that compares the results of Spatially Variable Plant Growth Regulator (SVPGR) applications to the results from traditional (blanket) application of PGR. Economic Analysis is presented that shows the potential savings for implementing the SVPGR technique.