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Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data.
Bai, Xiulin; Fang, Hui; He, Yong; Zhang, Jinnuo; Tao, Mingzhu; Wu, Qingguan; Yang, Guofeng; Wei, Yuzhen; Tang, Yu; Tang, Lie; Lou, Binggan; Deng, Shuiguang; Yang, Yong; Feng, Xuping.
Afiliação
  • Bai X; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
  • Fang H; Huzhou Institute of Zhejiang University, Huzhou 313000, China.
  • He Y; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
  • Zhang J; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
  • Tao M; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
  • Wu Q; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
  • Yang G; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
  • Wei Y; School of Information Engineering, Huzhou University, Huzhou 313000, China.
  • Tang Y; Academy of Interdisciplinary Studies, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
  • Tang L; Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011-3270, USA.
  • Lou B; College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
  • Deng S; College of Computer Science and Technology, Zhejiang University, Hangzhou 310058, China.
  • Yang Y; State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology for Plant Protection, Ministry of Agriculture, and Rural Affairs, Zhejiang Provincial Key Laboratory of Biotechnology for Plant Protection, Institute of Virology a
  • Feng X; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Plant Phenomics ; 5: 0019, 2023.
Article em En | MEDLINE | ID: mdl-37040287

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

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