The use of precision farming has become increasingly important in cotton production. It allows farmers to take advantage of knowledge about infield variability by applying expensive inputs at levels appropriate to crop needs. Essential to the success of the precision farming system is the adoption of site-specific information technologies such as yield monitors, passive remote sensing, and handheld GPS/PDA devices. While the adoptions of the aforementioned information technologies have been evaluated individually in previous literature, there exists a gap in knowledge about the factors affecting the adoption of some of the newer information technologies such as active remote sensing and electrical conductivity. Also, there is currently no literature evaluating farmers’ perceptions of changes in input use following the adoption of one or more information technologies for making variable rate technology (VRT) input decisions. The objective of this study is to evaluate the factors influencing the decision by cotton producers to adopt one or more information technologies for VRT applications of inputs, and subsequently evaluate the factors affecting farmers’ perceptions of changes in input use. Data for this study were collected from the Cotton Incorporated 2009 Southern Cotton Precision Farming Survey. A Heckman Probit model is used for the evaluation of the factors affecting farmers’ decision to adopt, and the subsequent perception of changes in input use while accounting for sample selection bias. The factors evaluated include farm and farmer characteristics as well as farmers’ sources of precision farming information. The presentation of the results will focus on farmers’ perceptions of how N, P, K, and lime input use changes with VRT and the farm and farmer characteristics that influenced those perceptions.  The impact that alternative information technologies have on farmers’ perceptions about input usage with VRT will also be discussed.