可视化自动识别技术与传统人眼识别在大米外观品质检验中的比较分析
目的 探究人眼检验法和仪器检验法在大米外观品质检测中是否存在结果差异。方法 使用人眼法和仪器法测定35批次大米样品的“整精米率”、“碎米率”、“垩白粒率”,结果采用SPSS统计分析方法进行比较分析。结果 在整精米率检验中, 针对粳米检测, 2种方法得到结果有系统性差异, 建议采用人眼检验法; 针对籼米检测, 2种方法得到结果没有系统性差异, 为提高检测效率, 建议优先采用仪器检验法; 在碎米率和垩白粒率检验中, 2种方法得到结果均有系统性差异, 建议采用仪器检验法。结论 现阶段的可视化自动检测技术尚不能满足大米外观品质全项目的检测需求, 需要谨慎使用。
Objective To explore whether there is a difference in the results between the human eye inspection method and the instrument inspection method in the appearance quality inspection of rice. Methods The “whole rice rate”, “broken rice rate” and “chalky grain rate” of 35 batches of rice samples were determined by the human eye method and the instrument method, and the results were compared and analyzed by SPSS statistical analysis method. Results In the inspection of the whole rice rate, for the inspection of japonica rice, the results obtained by the 2 methods were systematically different, and the human eye inspection method was recommended. For the detection of indica rice, there was no systematic difference in the results obtained by the 2 methods. In order to improve the detection efficiency, it was recommended to use the instrumental inspection method first. In the broken rice rate and Chalkiness rate test, the results obtained by the 2 methods were systematically different, and the instrumental inspection method was recommended. Conclusion At this stage, the visualized automatic inspection technology cannot meet the inspection requirements of the whole item of rice appearance quality, and it needs to be used with caution.
标题：可视化自动识别技术与传统人眼识别在大米外观品质检验中的比较分析
英文标题：Comparative analysis of visual automatic recognition technology and traditional human eye recognition in rice appearance quality inspection
作者：
徐飞 上海海关
王纾馨 上海杉达学院,食品质量安全管理系
程甲 上海海关
张毓梅 上海海关
焦彬彬 上海海关
中文关键词:大米外观检测,整精米率,碎米率,垩白粒率,
英文关键词:rice appearance inspection,whole polished rice rate,broken rice rate,Chalkiness rate,
发表日期：2020-08-17
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