"Enhancing USDA NASS Cropland Data Layer with Segment Anything Model."

Chen Zhang et al. (2023)

> Home

Details and statistics

DOI: 10.1109/AGRO-GEOINFORMATICS59224.2023.10233404

access: closed

type: Conference or Workshop Paper

metadata version: 2024-05-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/agro-geoinformatics/ZhangMFDLZLIY23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/agro-geoinformatics/ZhangMFDLZLIY23
Chen Zhang, Purva Marfatia, Hamza Farhan, Liping Di, Li Lin, Haoteng Zhao, Hui Li, Md Didarul Islam, Zhengwei Yang:
Enhancing USDA NASS Cropland Data Layer with Segment Anything Model. Agro-Geoinformatics 2023: 1-5

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.