Combing machine learning and elemental profiling for geographical authentication of Chinese Geographical Indication (GI) rice
ARTICLE OPEN Combing machine learning and elemental profiling for geographical authentication of Chinese Geographical Indication (GI) rice Fei Xu 1,3 , Fanzhou Kong 1,3 , Hong Peng 1 ✉, Shuofei Dong 2 , Weiyu Gao 1 and Guangtao Zhang 1 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...
wheat, flour, processing, quality, safety
Combing machine learning and elemental profiling for geographical authentication of Chinese Geographical Indication (GI) rice