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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2007.8
- 수록면
- 309 - 313 (5page)
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초록· 키워드
오류제보하기
The Korea government has implemented the GAP (Good Agricultural Practice) as a pilot national certification system for farm products since 2004. Under the GAP, farmers put in production history and safety information of farm products on the Internet or a farm diary before delivering to the market and perform screening and packing works at an APC (Agricultural Products Certification) designated by the government. In addition, the system makes distribution channels of farm products after delivery traceable and thereby ensures distribution and safety of farm products so that consumers can purchase farm products without anxiety. As a certification system, GAP is granted by the government only when farm production traceability is registered.
This paper presents a design of temporal databases, referring to essential elements in farming for a farm production traceability system. In particular, in a bid to minimize possible errors made at the time of database designing, attributes of subtle elements, which could be hard for general programmers to find, are extracted and presented when farmers put in data of production history.
This paper briefly explains concepts of GAP and farm production traceability system. In addition, in order to investigate similar database systems, www.atrace.net. a farm production traceability system developed by the Rural Development Administration of Korea was analyzed with actual cases on the basis of which modeling and design of a database system of the farm production traceability system were performed
This paper presents a design of temporal databases, referring to essential elements in farming for a farm production traceability system. In particular, in a bid to minimize possible errors made at the time of database designing, attributes of subtle elements, which could be hard for general programmers to find, are extracted and presented when farmers put in data of production history.
This paper briefly explains concepts of GAP and farm production traceability system. In addition, in order to investigate similar database systems, www.atrace.net. a farm production traceability system developed by the Rural Development Administration of Korea was analyzed with actual cases on the basis of which modeling and design of a database system of the farm production traceability system were performed
목차
ABSTRACT
1. INTRODUCTION
2. CASE STUDY
3. ARCHITECTURE OF FARM TRACEABILITY SYSTEM
4. DESIGN AND MODELING
5. SYSTEM IMPLEMENTATION
6. CONCLUSIONS
7. REFERENCES
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UCI(KEPA) : I410-ECN-0101-2012-004-004265706