"Computer vision approach to characterize size and shape phenotypes of ..."

Samiul Haque et al. (2021)

> Home

Details and statistics

DOI: 10.1016/J.COMPAG.2021.106011

access: closed

type: Journal Article

metadata version: 2023-03-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cea/HaqueLNYPMKBW21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cea/HaqueLNYPMKBW21
Samiul Haque, Edgar J. Lobaton, Natalie G. Nelson, G. Craig Yencho, Kenneth V. Pecota, Russell Mierop, Michael W. Kudenov, Mike Boyette, Cranos M. Williams:
Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery. Comput. Electron. Agric. 182: 106011 (2021)

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.