"Biochemical profile of heritage and modern apple cultivars and application of machine learning methods to predict usage, age, and harvest season"
- Submitting institution
-
Cranfield University
- Unit of assessment
- 6 - Agriculture, Food and Veterinary Sciences
- Output identifier
- 17719186
- Type
- D - Journal article
- DOI
-
10.1021/acs.jafc.7b00500
- Title of journal
- Journal of Agricultural and Food Chemistry
- Article number
- -
- First page
- 5339
- Volume
- ="65"
- Issue
- ="26"
- ISSN
- 0021-8561
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- 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
-
5
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
