The purpose of this research is to identify socio-economic factors which may influence the adoption of auto-steer technologies by row crop farmers in Mississippi. The variables of geographic location, size of farm, age of the farmer, and educational level of the farmer were analyzed using a binary logistic regression analysis to determine if those variables could be used as predictors in the farmer’s adoption of auto-steer. Analysis revealed that the size of the farm and the age of the farmer are both statistically significant predictors of the probability of a farmer adopting auto-steer in the state of Mississippi. Geographic location and level of education were both included in the model but failed to indicate significant predictive ability. Among farmers who adopted auto-steer respondents ranked the importance of saving time and profitability as the most important and second most important factor in their decision to adopt auto-steer. Future research involving precision agriculture technologies should also include advances in the fields of beef production, forestry, and aquaculture. These can provide helpful insight into the reasons why a producer would adopt a particular precision agriculture technology.