Detection of Chrysanthemums Inflorescence Based on Improved CR-YOLOv5s Algorithm.

Zhao, Wentao; Wu, Dasheng; Zheng, Xinyu

Zhao, Wentao; Wu, Dasheng; Zheng, Xinyu.

Afiliação

Zhao W; College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China.
Wu D; Key Laboratory of State Forestry and Grassland Administration on Forestry Sensing Technology and Intelligent Equipment, Hangzhou 311300, China.
Zheng X; Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Hangzhou 311300, China.

Sensors (Basel) ; 23(9)2023 Apr 24.

Article em En | MEDLINE | ID: mdl-37177438

Assuntos

Chrysanthemum; Inflorescência; Flores; Algoritmos; Folhas de Planta

Palavras-chave

YOLOv5; coordinate attention mechanism; flowering recognition; structural reparameterization; target detection

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Chrysanthemum / Inflorescência Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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