"The detection of saffron adulterants using a deep neural network approach ..."

Pejman Alighaleh et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.ESWA.2022.116890

access: closed

type: Journal Article

metadata version: 2022-05-18

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/eswa/AlighalehKRSE22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eswa/AlighalehKRSE22
Pejman Alighaleh, Hossein Khosravi, Abbas Rohani, Mohammad Hossein Saeidirad, Soodabeh Einafshar:
The detection of saffron adulterants using a deep neural network approach based on RGB images taken under uncontrolled conditions. Expert Syst. Appl. 198: 116890 (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.