CAT-CBAM-Net: An Automatic Scoring Method for Sow Body Condition Based on CNN and Transformer.

Xue, Hongxiang; Sun, Yuwen; Chen, Jinxin; Tian, Haonan; Liu, Zihao; Shen, Mingxia; Liu, Longshen

Xue, Hongxiang; Sun, Yuwen; Chen, Jinxin; Tian, Haonan; Liu, Zihao; Shen, Mingxia; Liu, Longshen.

Afiliación

Xue H; College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
Sun Y; Key Laboratory of Breeding Equipment, Ministry of Agriculture and Rural Affairs, Nanjing 210031, China.
Chen J; College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
Tian H; Key Laboratory of Breeding Equipment, Ministry of Agriculture and Rural Affairs, Nanjing 210031, China.
Liu Z; College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
Shen M; Key Laboratory of Breeding Equipment, Ministry of Agriculture and Rural Affairs, Nanjing 210031, China.
Liu L; Key Laboratory of Breeding Equipment, Ministry of Agriculture and Rural Affairs, Nanjing 210031, China.

Sensors (Basel) ; 23(18)2023 Sep 15.

Article en En | MEDLINE | ID: mdl-37765975

Palabras clave

artificial neural networks; body condition score; machine vision; parturient sows

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

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