YH-RTYO: an end-to-end object detection method for crop growth anomaly detection in UAV scenarios

YH-RTYO: an end-to-end object detection method for crop growth anomaly detection in UAV scenarios

Background Small object detection via unmanned Aerial vehicle (UAV) is crucial for smart agriculture, enhancing yield and efficiency. Methods This study addresses the issue of missed detections in crowded environments by developing an efficient algorithm tailored for precise, real-time small object...

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Bibliografiska uppgifter
Huvudupphovsmän: Yihang Li, WenZhong Yang, Zhifeng Lu, Houwang Shi
Materialtyp: Artikel
Språk:English
Publicerad: PeerJ Inc. 2024-12-01
Serie:PeerJ Computer Science
Ämnen:
Growth conditions
Target detection
Convolutional model
Transformer
UAV scenes
Länkar:https://peerj.com/articles/cs-2477.pdf

Internet

https://peerj.com/articles/cs-2477.pdf

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