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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Dettagli Bibliografici
Autori principali:	Yihang Li, WenZhong Yang, Zhifeng Lu, Houwang Shi
Natura:	Articolo
Lingua:	English
Pubblicazione:	PeerJ Inc. 2024-12-01
Serie:	PeerJ Computer Science
Soggetti:	Growth conditions Target detection Convolutional model Transformer UAV scenes
Accesso online:	https://peerj.com/articles/cs-2477.pdf

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