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...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Yihang Li, WenZhong Yang, Zhifeng Lu, Houwang Shi
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: PeerJ Inc. 2024-12-01
Seri Bilgileri:PeerJ Computer Science
Konular:
Growth conditions
Target detection
Convolutional model
Transformer
UAV scenes
Online Erişim:https://peerj.com/articles/cs-2477.pdf

Internet

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

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