Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
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Pattern Analysis of Nonconforming Farmers in Residual Pesticides using Exploratory Data Analysis and Association Rule Analysis

탐색적 자료 분석 및 연관규칙 분석을 활용한 잔류농약 부적합 농업인 유형 분석

  • Kim, Sangung (Experiment Research Institute, National Agricultural Products Quality Management Service) ;
  • Park, Eunsoo (Experiment Research Institute, National Agricultural Products Quality Management Service) ;
  • Cho, Hyunjeong (Experiment Research Institute, National Agricultural Products Quality Management Service) ;
  • Hong, Sunghie (Experiment Research Institute, National Agricultural Products Quality Management Service) ;
  • Sohn, Byungchul (Experiment Research Institute, National Agricultural Products Quality Management Service) ;
  • Hong, Jeehwa (Experiment Research Institute, National Agricultural Products Quality Management Service)
  • 김상웅 (국립농산물품질관리원 시험연구소) ;
  • 박은수 (국립농산물품질관리원 시험연구소) ;
  • 조현정 (국립농산물품질관리원 시험연구소) ;
  • 홍성희 (국립농산물품질관리원 시험연구소) ;
  • 손병철 (국립농산물품질관리원 시험연구소) ;
  • 홍지화 (국립농산물품질관리원 시험연구소)
  • Received : 2021.01.08
  • Accepted : 2021.02.18
  • Published : 2021.03.31
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Abstract

Purpose: The purpose of this study was to analysis pattern of nonconforming farmers who is one of the factors of unconformity in residual pesticides. Methods: Pattern analysis of nonconforming farmers were analyzed through convergence of safety data and farmer's DB data. Exploratory data analysis and association rule analysis were used for extracting factors related to unconformity. Results: The results of this study are as follows; regarding the exploratory data analysis, it was found that factors of farmers influencing unconformity in residual pesticides by total 9 factors; sampling time, gender, age, cultivation region, farming career, agricultural start form, type of agriculture, cultivation area, classification of agricultural products. Regarding the association rule analysis, non-conformity association rules were found over the past three years. There was a difference in the pattern of nonconforming farmers depending on the cultivation period. Conclusion: Exploratory data analysis and association rule analysis will be useful tools to establish more efficient and economical safety management plan for agricultural products.

Keywords

References

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