Guidance systems are one of the primary Precision Agriculture technologies adopted by US farmers. While most practitioners establish their initial AB lines for fields based on previous management patterns, a potential exists in conducting analyses to establish AB lines or traffic patterns which maximize field capacity. The objective of this study was to develop a simple methodology to determine the optimum traffic pattern for individual fields, at a particular farmstead. Several fields, varying in shape and size, were selected based on the farmer interest in improving field capacity. A major constraint was that all crop rows had to be straight. Field boundaries were established using a GPS mapping system with a geographic information system (GIS) and used for analysis. An optimization algorithm was developed which considered five parameters: number of turns, length of passes, total turning distance, variation in pass length, and ratio between actual planting distances to total distance travelled. Existing AB lines were also acquired from the autoguidance systems for inclusion into the analysis. Parallel lines were generated for each field then rotated at 5 degrees. For each rotation, lines were clipped to the field boundary and field parameters computed. The optimization algorithm then determined which angle maximized field capacity and results were compared to the existing AB line. Results indicated that the optimum degree for the AB line was a function of field shape. For more rectangular shaped fields, the optimum pass determined was the one intuitively established by the farmer whereas for less “regular” shaped fields, a slight modification of the original AB line angle produced a significant increase (up to about 17%) in machinery efficiency. However for some irrigated fields, the location of valves used for travelers had dictated the previous planting pattern greatly reducing field capacity. Automatic section control technology on the planter permitted implementation of an altered row pattern to reduce damaged crops while improving field capacity (increase of 62%).  In return, this outreach effort provided the farmer optimum AB lines to ensure maximum field capacity for current equipment and adopted precision agriculture technologies.