Detection of Farmland Obstacles Based on an Improved YOLOv5s Algorithm by Using CIoU and Anchor Box Scale Clustering.

Xue, Jinlin; Cheng, Feng; Li, Yuqing; Song, Yue; Mao, Tingting

Xue, Jinlin; Cheng, Feng; Li, Yuqing; Song, Yue; Mao, Tingting.

Afiliación

Xue J; College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
Cheng F; College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
Li Y; College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
Song Y; College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
Mao T; College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.

Sensors (Basel) ; 22(5)2022 Feb 24.

Article en En | MEDLINE | ID: mdl-35270935

Asunto(s)

Algoritmos; Análisis por Conglomerados; Granjas

Palabras clave

YOLOv5s; deep learning; farmland obstacles; target detection

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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