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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Bibliografski detalji
Glavni autori: Yihang Li, WenZhong Yang, Zhifeng Lu, Houwang Shi
Format: Članak
Jezik:English
Izdano: PeerJ Inc. 2024-12-01
Serija:PeerJ Computer Science
Teme:
Growth conditions
Target detection
Convolutional model
Transformer
UAV scenes
Online pristup:https://peerj.com/articles/cs-2477.pdf

Internet

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

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