The selection process of agricultural machines is one of the most important stages of the productive process. The purpose of the present work was to develop and to test a linear programming model to aid in the decision of agricultural boom sprayer selection based on the cheapest hour-cost. The technical information about 20 sprayer models available in the market was used, where four were self-propelled, eight were trailed and eight were lift mounted sprayer. The sensibility analysis of the operational cost components showed that the repair and depreciation rates are the factors that most contribute to hour-cost variation of the sprayer-tractor group. The developed mathematical model facilitated the accomplishment of the sensibility analysis, which was processed in a very short time.
linear programming; phytosanitary treatment; agricultural machines
