"Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images ..."

Jonas Bömer et al. (2020)

> Home

Details and statistics

DOI: 10.1007/978-3-030-65414-6_24

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/eccv/BomerZSKKRMKR20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eccv/BomerZSKKRMKR20
Jonas Bömer, Laura Zabawa, Philipp Sieren, Anna Kicherer, Lasse Klingbeil, Uwe Rascher, Onno Muller, Heiner Kuhlmann, Ribana Roscher:
Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks. ECCV Workshops (6) 2020: 347-359

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.