"Deep learning applied to multi-component imagery for variety testing ..."

Hadhami Garbouge (2022)

> Home

Details and statistics

DOI: —

access: closed

type: Book or Thesis

metadata version: 2023-03-26

- view
  - electronic edition @ archives-ouvertes.fr
- export record
  dblp key:
  - phd/hal/Garbouge22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/phd/hal/Garbouge22
Hadhami Garbouge:
Deep learning applied to multi-component imagery for variety testing problems. (Deep learning appliqué à l'imagerie multicomposante pour des problématiques de test de variétés). University of Angers, France, 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.