Optimal design of grain tracer based on fuzzy comprehensive analysis method

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.