The research develops an autonomous UAV-based bird scaring system for agriculture. It includes bird flock detection using machine learning and image segmentation (K-means clustering), automatic height adjustment to avoid obstacles, and activation of an onboard vibrator-sound system to scare birds, enabling continuous crop monitoring and protection.
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