Camera kinetic model applied to crop row tracking and weed detection
نویسندگان
چکیده
Computer vision can be used within precision farming to carry out crop row tracking and weed detection, looking for objectives such as vehicle steering and selective weed removing. Previous work used static parametric search areas to look for similar crop lines between consecutive frames in a sequence. This new work improves that method by introducing a camera kinetic model which generates dynamic search areas, based on configurable parameters of the vehicle which mounts the camera/s. These new search areas are much more realistic than static areas, therefore crop row detection and tracking are improved because of the efficient utilization of processing resources.
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