"An automated, high-performance approach for detecting and characterizing ..."

Chengquan Zhou et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.JAG.2022.103055

access: open

type: Journal Article

metadata version: 2024-08-04

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/aeog/ZhouYSYYH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/aeog/ZhouYSYYH22
Chengquan Zhou, Hongbao Ye, Dawei Sun, Jibo Yue, Guijun Yang, Jun Hu:
An automated, high-performance approach for detecting and characterizing broccoli based on UAV remote-sensing and transformers: A case study from Haining, China. Int. J. Appl. Earth Obs. Geoinformation 114: 103055 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.