Drone Mapping Answers
Mask R-CNN, a state-of-the-art deep learning algorithm, for the automated counting of cattle captured in aerial imagery from quadcopters. The research addresses the challenge of reliably counting livestock in both extensive pastures and high-density feedlots to enhance intelligent livestock management. The study establishes that the Mask R-CNN framework performs reliably, achieving high counting accuracies and outperforming existing object detection algorithms, particularly in challenging scenarios involving occlusion and overlapping of animals. Ultimately, this work provides a promising step toward integrating artificial intelligence into quadcopter vision systems for precise and effective animal monitoring.
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