Optimal design of grain tracer based on fuzzy comprehensive analysis method

Kun Liang, Mingxia Shen, Yufeng Ge

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Information identification is one of key technologies in food safety traceability. The effective information identification technology should include the characteristics of unique, recognition robustness and wear resistance. In order to overcome the problem of grain hard tracing to origin because of multi-source mixing in supply chain, the grain tracer method was used to identity grain information, and a two-factor factorial design was employed to analyze the influence of different formation pressures and constituent formulations on surface roughness. The results were analyzed by fuzzy comprehensive evaluation method to determine the optimum combinations process parameters. The results can provide a foundation for the subsequent tracer information identification and improvement of the tracer produce.

Original languageEnglish (US)
Pages (from-to)246-250
Number of pages5
JournalNongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Issue number15
StatePublished - Aug 1 2012
Externally publishedYes


  • Fuzzy comprehensive evaluation
  • Grain
  • Identification
  • Safety
  • Surface roughness
  • Tracer

ASJC Scopus subject areas

  • General Agricultural and Biological Sciences
  • Mechanical Engineering


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