首页> 外文会议> >Target selection by similarity preserve hash in distributed system for geographical origin identification of vegetables
【24h】

Target selection by similarity preserve hash in distributed system for geographical origin identification of vegetables

机译:通过相似性进行目标选择,在分布式系统中保留哈希,用于蔬菜的地理起源识别

获取原文

摘要

Recently, camouflaging geographical origin of agricultural products is a major problem in Japan. Now we are developing a distributed system which identifies geographical origin of vegetables by analyzing, accumulating and comparing trace element compositions of vegetables. This system stores compositions of trace, or very small quantities of elements into database which located on farming districts, and compares them to trace element compositions of vegetables which gathered from distribution channel such as markets, food factories. Objective of this system is verifying geographical origin information by food traceability system and deter camouflaging geographical origin. However, in this system, all sites in farming districts must be searched to identify geographical origin. In this paper, we describe a method to reduce the number of targets to identify geographical origin using similarity preserve hash (SPH).
机译:近来,伪装农产品的地理起源是日本的主要问题。现在,我们正在开发一种分布式系统,该系统通过分析,累积和比较蔬菜中的微量元素成分来识别蔬菜的地理来源。该系统将痕量或极少量元素的成分存储到位于农业区的数据库中,并将其与从市场,食品工厂等分销渠道收集的蔬菜的痕量元素成分进行比较。该系统的目的是通过食品追溯系统验证地理起源信息,并阻止伪装地理起源。但是,在此系统中,必须搜索耕种区中的所有站点以识别地理来源。在本文中,我们描述了一种减少使用相似性保留哈希(SPH)来识别地理来源的目标数量的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号