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EADD-YOLO: An efficient and accurate disease detector for apple leaf using improved lightweight YOLOv5.
Zhu, Shisong; Ma, Wanli; Wang, Jianlong; Yang, Meijuan; Wang, Yongmao; Wang, Chunyang.
Afiliação
  • Zhu S; School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China.
  • Ma W; School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China.
  • Wang J; School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China.
  • Yang M; School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, China.
  • Wang Y; School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China.
  • Wang C; School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China.
Front Plant Sci ; 14: 1120724, 2023.
Article em En | MEDLINE | ID: mdl-36909428
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article