Sampling guidelines for building and curating food authenticity databases
- Abstract:
- Best-practice recommendations regarding database scope, analytical methodology, sampling, collection and storage of data, validation and curation.
- PubYear:
- 2019
- Keywords:
- non-targeted, machine learning, ai
- FundingBody:
- EU Food Integrity Programme
- Contractor:
- ProjCode:
- Associated:
- Type:
- Good Practice Guidance
- OpenAccess:
- Yes
- URL:
- https://www.sciencedirect.com/science/article/pii/S0924224418304552
- Comments:
- NA