Methods are available to predict nitrogen needs of winter wheat based on plant sensing, but adoption rates by producers are low. Low adoption rates are likely due to economic feasibility. The objective of this paper was to develop a method to Bayesian update prior information about nitrogen application with precision sensing information and determine if Bayesian updated nitrogen recommendations increase the economic feasibility of precision sensing technology. Results indicated that Bayesian updated nitrogen recommendations were higher than precision sensing recommendations. However, the Bayesian nitrogen recommendations did not increase net returns.