title: [Planning of monitoring points for agricultural products security based on integrated weighted clustering method].
abstract: Integrated weighted clustering method was applied to plan 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, yields, and regions as more as possible. Among the 10172 agricultural products security enterprises all over the China, 2.46% of them were selected. The tested categories, 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 management methods, which suggested that it could be more effective to apply integrated weighted clustering method in setting the monitoring points for agricultural products security.
authors: Research Institute of Science & Technology Management and Planning, South China Agricultural University, Guangzhou, China. yanhc@scau.edu.cn
authors: Hui-Chao
authors: HC
authors: Yan
authors: Lian-Cheng
authors: LC
authors: Chen
authors: Lu
authors: L
authors: Wang
authors: Qing
authors: Q
authors: Li
authors: Yue-Ju
authors: YJ
authors: Xue
authors: Guo-Ming
authors: GM
authors: Du
mesh_terms: D002681:China; D016000:Cluster Analysis; D018556:Crops, Agricultural / Q000737:chemistry*; D004784:Environmental Monitoring / Q000379:methods*; D005506:Food Contamination / Q000032:analysis* / Q000517:prevention & control*; D017751:Safety Management / Q000458:organization & administration*