"Deep learning-based accurate grapevine inflorescence and flower ..."

Umme Fawzia Rahim, Tomoyoshi Utsumi, Hiroshi Mineno (2022)

> Home

Details and statistics

DOI: 10.1016/J.COMPAG.2022.107088

access: open

type: Journal Article

metadata version: 2022-07-27

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/cea/RahimUM22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cea/RahimUM22
Umme Fawzia Rahim, Tomoyoshi Utsumi, Hiroshi Mineno:
Deep learning-based accurate grapevine inflorescence and flower quantification in unstructured vineyard images acquired using a mobile sensing platform. Comput. Electron. Agric. 198: 107088 (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.