Before the introduction of positioning technologies in agriculture practices such as global\nnavigation satellite systems (GNSS), data collection and management were time-consuming and\nlabor-intensive tasks. Today, due to the introduction of advanced technologies, precise information\non the performance of agricultural machines, and smaller autonomous vehicles such as robot\nmowers, can be collected in a relatively short time. The aim of this work was to track the\nperformance of a robot mower in various turfgrass areas of an equal number of square meters but\nwith four different shapes by using real-time kinematic (RTK)-GNSS devices, and to easily extract\ndata by a custom built software capable of calculating the distance travelled by the robot mower,\nthe forward speed, the cutting area, and the number of intersections of the trajectories. These data\nwere then analyzed in order to provide useful functioning information for manufacturers,\nentrepreneurs, and practitioners. The path planning of the robot mower was random and the\nturfgrass area for each of the four shapes was 135 m2 without obstacles. The distance travelled by\nthe robot mower, the mean forward speed, and the intersections of the trajectories were affected by\nthe interaction between the time of cutting and the shape of the turfgrass. For all the different\nshapes, the whole turfgrass area was completely cut after two hours of mowing. The cutting\nefficiency decreased by increasing the time, as a consequence of the increase in overlaps. After 75\nminutes of cutting, the efficiency was about 35% in all the turfgrass areas shapes, thus indicating a\nhigh level of overlapping.
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