목차

• 차 례
  제1장 서 론
  1. 연구의 필요성과 목적 1
  2. 연구 범위와 방법 2
  3. 연구 내용 4
  제2장 농업관측 지원정보 시스템(DB)
  1. 기존의 농업관측 지원정보 시스템 7
  2. 기존의 농업관측 조사 절차 11
  제3장 농업관측 지원정보 시스템의 문제점과 개선방향
  1. 시스템의 문제점 15
  2. 시스템 개선방향 16
  제4장 개선된 농업관측 지원정보 시스템
  1. 시스템 개요 18
  2. 시스템 세부 기능 및 특징 22
  3. 시스템 구축 과정 34
  제5장 농업관측정보센터 홈페이지 개선
  1. 기존 홈페이지 41
  2. 개선된 홈페이지 43
  제6장 농업관측 지원정보 시스템 중장기 개선과제 46
  부록 1. 팀별 요구사항 분석서 51
  부록 2. 과거 데이터 이관 구축 내역 63
  참고 문헌 72

요약문

ABSTRACT
A Study on Improvement of Agricultural Outlook Supporting Information System (Database)
The agricultural outlook supporting information system was constructed in 2001. However, the database was not in harmony with the system architecture.
Therefore, it is necessary to formulate consumer panels and to accumulate enough information from them to keep the database in harmony with the system. It is expected that from the panels, the information on urban household consumer's behaviors can be obtained.
The purpose of this study is to improve the agricultural outlook supporting information system, so that realtime forecast will be possible. To this end, it will be needed to manage the panels more efficiently and conduct surveys on them more appropriately.
A total of 1,313 consumer panels are selected. The following characteristics of panels are collected to make the database:
1)Panel's ID, address, name, age, occupation, ncome, telephone number, educational background;
2) e-mail address, if any;
3) the number of household members;
4) type of house; and
5) recruiting type.
In order to ensure efficient panel management and operation, this study suggests how to improve the response rate, how to fill up vacancy of the panel, how to hire the full-time panel manager are suggested.
There are also explanations on survey methods, including survey period, frequency of survey, main survey items, survey contents and supplementary comments.
The results of the survey are analyzed to serve the following three main objectives:
1) production of monthly outlook,
2) production of annual agricultural outlook, and
3)selection of right research tools, in case where the consumption trend changes rapidly.
Researchers: Kim Byung-Ryul, Kim Tae-whan, Kim Hong-Won, Song Won-Jin, Park Jae-Hong, Choi Ik-Chang, Won Ji-Yun, Lee kyung-Ho
E-mail address: brkim, jhkim74, andrew, gnos, jhpark, cic, ghrmg77, jinghulee@krei.re.kr

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