재배단계 농산물의 안전성 모의실험을 위한 개체기반 프로그램 개발

서지정보

ㆍ발행기관 : 한국식품위생안전성학회 ㆍ수록지정보 : 한국식품위생안전성학회지 / 32권 / 1호
ㆍ저자명 : 한상현, 이기훈, 양성규, 김황용, 김현주, 류재기

목차

Materials and Methods
모의실험 대상 및 개체기반 프로그램 개발환경
체기반 프로그램의 구동
개발된 개체기반 프로그램을 이용한 모의실험
Results
작물 재배지역 출입 초식동물 개체수 영향 모의실험 결과
작물 재배지역 서식 위생해충 개체수 영향 모의실험 결과
초기 오염 작물 개체수 영향 모의실험 결과
Discussion
Acknowledgement
국문요약
References

영어 초록

This study was conducted to develop an agent-based computing platform enabling simulation of on-farm produce contamination by enteric foodborne pathogens, which is herein called PPMCS (Preharvest Produce Microbial Contamination Simulator). Also, fecal contamination of preharvest produce was simulated using PPMCS. Although Agent-based Modeling and Simulation, the tool applied in this study, is rather popular in where socio-economical human behaviors or ecological fate of animals in their niche are to be predicted, the incidence of on-farm produce contamination which are thought to be sporadic has never been simulated using this tool. The agents in PPMCS including crop, animal as a source of fecal contamination, and fly as a vector spreading the fecal contamination are given their intrinsic behaviors that are set to be executed at certain probability. Once all these agents are on-set following the intrinsic behavioral rules, consequences as the sum of all the behaviors in the system can be monitored real-time. When fecal contamination of preharvest produce was simulated in PPMCS as numbers of animals, flies, and initially contaminated plants change, the number of animals intruding cropping area affected most on the number of contaminated plants at harvest. For further application, the behaviors and variables of the agents are adjustable depending on user’s own scenario of interest. This feature allows PPMCS to be utilized in where different simulating conditions are tested.

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