Tracing the Geographical Origin of Rice Based on Mineral Elements and GSA-SVM
AUTHORS
Na Wang,College of Electrical and Information, Heilongjiang Bayi Agricultural University, Daqing 163319, China
Dongjie Zhang*,College of Food Science, Heilongjiang Bayi Agricultural University, Daqing, 163319, China; Key Laboratory of Agro-Products Processing and Quality Safety of Heilongjiang Province, Heilongjiang Bayi Agricultural University, Daqing 163319, China
Jinming Liu,College of Electrical and Information, Heilongjiang Bayi Agricultural University, Daqing 163319, China
ABSTRACT
To explore the feasibility of tracing the geographical origin of rice which influenced by mineral elements, ICP-MS is used to analyze the mineral content of rice samples from five areas: Fangzheng, Panjing, Wuchang, Yuanqu and Gongzhuling. The obtained sample data is traced to the geographical origin by the GSA-SVM algorithm. The result showed that the mineral content of rice samples from different regions had their own characteristics. The accuracy of the discrimination of the sample data in the five regions using the prediction model generated by the GSA-SVM algorithm is between 88.4615% ~ 98.0769%. Therefore, the mineral element analysis technology and GSA-SVM model can be used to identify the origin of rice, which provides a stable and efficient method for identifying and tracing the origin of rice.
KEYWORDS
Gravitational Search Algorithm (GSA), Support Vector Machine (SVM), Mineral element geographical origin traceability
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