"Multispectral image analysis approach to detect adulteration of beef and pork in raw meats"
- Submitting institution
-
Cranfield University
- Unit of assessment
- 6 - Agriculture, Food and Veterinary Sciences
- Output identifier
- 5614120
- Type
- D - Journal article
- DOI
-
10.1016/j.foodres.2014.10.032
- Title of journal
- Food Research International
- Article number
- -
- First page
- 12
- Volume
- ="67"
- Issue
- ="January"
- ISSN
- 0963-9969
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 74
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
