Intelligent Grazing UAV Based on Airborne Depth Reasoning
نویسندگان
چکیده
The existing precision grazing technology helps to improve the utilization rate of livestock pasture, but it is still at level “collectivization” and cannot provide more accurate management control. (1) Background: In recent years, with rapid development agent-related technologies such as deep learning, visual navigation tracking, lightweight edge computing cell target detection algorithms have been proposed. (2) Methods: this study, improved YOLOv5 detector combined extended dataset realized identification location domestic cattle; help kernel correlation filter (KCF) automatic tracking framework, long-term cyclic convolution network (LRCN) was used analyze texture characteristics animal fur effectively distinguish individual cattle. (3) Results: intelligent UAV equipped an AGX Xavier high-performance unit ran above algorithm through positioning cattle during actual flight. (4) Conclusion: platform based on airborne depth reasoning expected smart ecological husbandry better services for herdsmen.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14174188