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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Xehetasun bibliografikoak
Egile Nagusiak: Yihang Li, WenZhong Yang, Zhifeng Lu, Houwang Shi
Formatua: Artikulua
Hizkuntza:English
Argitaratua: PeerJ Inc. 2024-12-01
Saila:PeerJ Computer Science
Gaiak:
Growth conditions
Target detection
Convolutional model
Transformer
UAV scenes
Sarrera elektronikoa:https://peerj.com/articles/cs-2477.pdf

Internet

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

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