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基于WEB的农产品质量检测与溯源系统的设计
引用本文:邢美,金国良,张国伟,宫潘威,赵锡澄,董玉德. 基于WEB的农产品质量检测与溯源系统的设计[J]. 安徽农业大学学报, 2016, 43(3): 499-502. DOI: 10.13610/j.cnki.1672-352x.20160512.022
作者姓名:邢美  金国良  张国伟  宫潘威  赵锡澄  董玉德
作者单位:合肥工业大学数字化设计与制造省级重点实验室,合肥,230009;江阴市农产品质量检测中心,江阴,214400
基金项目:2014年江阴市农林局信息化项目资助。
摘    要:为加强农产品质量安全,保障消费者身体健康,提出利用C#、.NET开发平台、SQL Server数据库技术、RFID技术,二维条码技术和WEB报表技术构建一个基于WEB的农产品质量检测与溯源系统。对当前国内外对于农产品质量研究状况以及项目所处的背景进行了分析;借助.NET平台、SQL SERVER数据库和RFID技术实现对农产品信息的数据采集;利用WEB报表技术实现对检测数据的统计分析及网络监控。系统目前在江阴地区试运行中,主要对蔬菜进行农残的定量和定性检测,对采集的农产品检测数据结果进行统计,在市场内贴上溯源码的蔬菜产品进行溯源查询。

关 键 词:农产品  质量检测  溯源系统  统计分析

WEB-based design of quality inspection and traceability system of agricultural products
XING Mei,JIN Guoliang,ZHANG Guowei,GONG Panwei,ZHAO Xicheng and DONG Yude. WEB-based design of quality inspection and traceability system of agricultural products[J]. Journal of Anhui Agricultural University, 2016, 43(3): 499-502. DOI: 10.13610/j.cnki.1672-352x.20160512.022
Authors:XING Mei  JIN Guoliang  ZHANG Guowei  GONG Panwei  ZHAO Xicheng  DONG Yude
Affiliation:Provincial Key Laboratory of Digital Design and Manufacture, Hefei University of Technology, Hefei 230009,Jiangyin Inspection and Testing Center of Agricultural Products Quality and Security, Jiangyin 214400,Provincial Key Laboratory of Digital Design and Manufacture, Hefei University of Technology, Hefei 230009,Provincial Key Laboratory of Digital Design and Manufacture, Hefei University of Technology, Hefei 230009,Jiangyin Inspection and Testing Center of Agricultural Products Quality and Security, Jiangyin 214400 and Provincial Key Laboratory of Digital Design and Manufacture, Hefei University of Technology, Hefei 230009
Abstract:To enhance the quality and safety of agricultural products and protect the health of consumers, a quality inspection and traceability system of agricultural products has been built based on WEB. In this process C#, .NET development platform, SQL Server database, RFID, dimensional barcode and WEB report technologies have been used. The current research on the quality of agricultural products at home and abroad and the project background were analyzed. A new database was created, and a series of tables for storing basic information of agricultural products and users were built through .NET platform, SQL Server database technology and RFID technology. Technology of WEB report was used to achieve statistical test data and network monitoring. The system is currently being trial operated in Jiangyin, mainly for quantitative and qualitative detection of pesticide residues in vegetables. The collected data are subjective to statistical analyses. Vegetables with the traceability code in the market can be a traceable inquiry.
Keywords:agricultural products   quality testing   traceability system   statistical analysis
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