Combing machine learning and elemental profiling for geographical authentication of Chinese Geographical Indication (GI) rice

Identification of geographical origin is of great importance for protecting the authenticity of valuable agri-food products with designated origins. In this study, a robust and accurate analytical method that could authenticate the geographical origin of Geographical Indication (GI) products was dev...

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Detalles Bibliográficos
Autores principales: Xu, Fei, Kong, Fanzhou, Peng, Hong, Dong, Shuofei, Gao, Weiyu, Zhang, Guangtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266907/
https://www.ncbi.nlm.nih.gov/pubmed/34238934
http://dx.doi.org/10.1038/s41538-021-00100-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266907/
https://www.ncbi.nlm.nih.gov/pubmed/34238934
http://dx.doi.org/10.1038/s41538-021-00100-8

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