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Combining Object Detection with Geometry-Aware Clustering to Distinguish Overlapping Plants in UAV Imagery
Reliable plant-level information from unmanned aerial vehicle (UAV) imagery is important for automated crop monitoring. However, in dense crop canopies, adjacent plants frequently overlap and are detected as a single object, reducing the reliability of plant-level measurements. This study presents a
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