Image dataset of tea chrysanthemums in complex outdoor scenes

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

doi:10.3389/fpls.2023.1134911

Image dataset of tea chrysanthemums in complex outdoor scenes

Front Plant Sci. 2023 Apr 14:14:1134911. doi: 10.3389/fpls.2023.1134911. eCollection 2023.

Authors

Siyang Zang¹, Lei Shu^{1

2}, Kai Huang^{1

3}, Zhiyong Guan⁴, Ru Han¹, Ravi Valluru⁵, Xiaochan Wang⁶, Jiaxu Bao¹, Ye Zheng¹, Yifan Chen¹

Affiliations

¹ College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China.
² School of Engineering, College of Science, University of Lincoln, Lincoln, United Kingdom.
³ National Engineering and Technology Center for Information Agriculture (NETCIA), Nanjing Agricultural University, Nanjing, China.
⁴ College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu, China.
⁵ Lincoln Institute for Agri-food Technology, University of Lincoln, Lincoln, United Kingdom.
⁶ College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, China.

No abstract available

Keywords: image data; outdoor scenes; tea chrysanthemum; unfixed angle; video data.

Grants and funding

This work was supported in part by High-end Foreign Experts Recruitment Plan of the Ministry of Science and Technology China under Grant G2021145009L, in part by Jiangsu Modern Agricultural Machinery Equipment and Technology Demonstration and Promotion Project under Grant NJ2021-11.