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A Deep Learning-Based Method for Automatic Assessment of Stomatal Index in Wheat Microscopic Images of Leaf Epidermis.
Zhu, Chuancheng; Hu, Yusong; Mao, Hude; Li, Shumin; Li, Fangfang; Zhao, Congyuan; Luo, Lin; Liu, Weizhen; Yuan, Xiaohui.
Afiliação
  • Zhu C; School of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan, China.
  • Hu Y; School of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan, China.
  • Mao H; State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Shaanxi, China.
  • Li S; State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Shaanxi, China.
  • Li F; State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Shaanxi, China.
  • Zhao C; School of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan, China.
  • Luo L; School of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan, China.
  • Liu W; School of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan, China.
  • Yuan X; Chongqing Research Institute, Wuhan University of Technology, Chongqing, China.
Front Plant Sci ; 12: 716784, 2021.
Article em En | MEDLINE | ID: mdl-34539710

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article