Image dataset of tea chrysanthemums in complex outdoor scenes.

Zang, Siyang; Shu, Lei; Huang, Kai; Guan, Zhiyong; Han, Ru; Valluru, Ravi; Wang, Xiaochan; Bao, Jiaxu; Zheng, Ye; Chen, Yifan

Zang, Siyang; Shu, Lei; Huang, Kai; Guan, Zhiyong; Han, Ru; Valluru, Ravi; Wang, Xiaochan; Bao, Jiaxu; Zheng, Ye; Chen, Yifan.

Afiliação

Zang S; College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China.
Shu L; College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China.
Huang K; School of Engineering, College of Science, University of Lincoln, Lincoln, United Kingdom.
Guan Z; College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China.
Han R; National Engineering and Technology Center for Information Agriculture (NETCIA), Nanjing Agricultural University, Nanjing, China.
Valluru R; College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Wang X; College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China.
Bao J; Lincoln Institute for Agri-food Technology, University of Lincoln, Lincoln, United Kingdom.
Zheng Y; College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Chen Y; College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China.

Front Plant Sci ; 14: 1134911, 2023.

Article em En | MEDLINE | ID: mdl-37123821

Palavras-chave

image data; outdoor scenes; tea chrysanthemum; unfixed angle; video data

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Plant Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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