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应用生态学报 ›› 2009, Vol. 20 ›› Issue (08): 2019-2024.

• 研究报告 • 上一篇    下一篇

采用综合加权聚类方法的农产品安全监测点规划

严会超1;陈联诚2;王璐2;李晴2;薛月菊2;杜国明3   

  1. 1华南农业大学科技管理与规划研究所| 广州 510642;2华南农业大学地理信息工程研究所| 广州 510642;3华南农业大学人文与法学学院|广州 510642
  • 收稿日期:2009-04-10 出版日期:2009-08-20 发布日期:2009-08-20

Planning of monitoring points for agricultural products security based on integrated weighted clustering method.

YAN Hui-chao1;CHEN Lian-cheng2;WANG Lu2;LI Qing2;XUE Yue-ju2;DU Guo-ming3   

  1. 1Research Institute of Science &|Technology Management and Planning, South China Agricultural University, Guangzhou 510642, China;2Geo-Information Institute, South China Agricultural University, Guangzhou 510642, China;3College of Humanities and Law, South China Agricultural University, Guangzhou 510642, China
  • Received:2009-04-10 Online:2009-08-20 Published:2009-08-20

摘要: 利用综合加权聚类法进行了农产品安全监测点的规划,从大量的监测对象中挖掘出一定数目的重点监测样点,使较少的监测样点能覆盖尽量多的产品类别、产量及区域.结果表明:应用综合加权聚类方法能有效地进行农产品安全监测点设置,从10172个农产品安全企业样本中聚类选取2.46%的企业进行检测,检测到的产量覆盖率达到44.29%,检测到的产品类别覆盖率达到32.71%,检测到的地区覆盖率达到75%.与常规监测管理方法相比,用综合加权聚类方法检测到的产量、地区和产品类别覆盖率分别提高了10.85%、5.56%和2.80%.

关键词: 农产品安全, 聚类, 监测样点, 花生, 多效唑, 产量, 品质, 氮代谢酶, 碳代谢酶

Abstract: Integrated weighted clustering method was applied to pl
an the monitoring points for agricultural products security. Definite amounts of
 key monitoring sampling points were mined out from enormous monitoring objects
to make the fewer monitoring sampling points cover the product categories, yield
s, and regions as more as possible. Among the 10172 agricultural products securi
ty enterprises all over the China, 246% of them were selected. The tested cate
gories, yields, and regions of agricultural safety products covered 3271%, 44
29%, and 75% of the total, and their coverage increased by 280%, 1085%, 5
56%, respectively, compared with that by using conventional monitoring and man
agement methods, which suggested that it could be more effective to apply integr
ated weighted clustering method in setting the monitoring points for agricultura
l produc
ts security.

Key words: agricultural products security, clustering, monitoring point, peanut, paclobutrazol, yield, quality, nitrogen metabolism enzyme, carbon metabolism enzyme.