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.
Date:
2019
Keywords:
non-targeted, machine learning, ai
Funding Body:
EU Food Integrity Programme
Contractor:
Project Code:
Associated research:
Type:
Good Practice Guidance
Open Access:
Yes
URL:
"Trends in Food Science and Technology" Journal: free download >>>
Comments:
NA