Nitrogen fertilizers are generally known to be of great help in improving crop yields, but excessive nitrogen fertilizer usage can not only destroy the environment but also negatively affect crop growth. This study aims to develop a decision-making system for optimal nitrogen fertilizer use for efficient production of Chinese cabbage (Brassica rapa), one of the major vegetables. The proposed system has the functions of detecting farmland based on satellite images, predicting cabbage yields and greenhouse gas (e.g., nitrous oxide) emissions according to nitrogen fertilizer use, and making decisions using the prediction results. To develop the proposed system, a generalized prediction model is developed using experimental data collected from South Korea, Egypt, India, Canada, Lithuania, and China, and the effectiveness of the proposed system is validated through experiments. As a result, the proposed system will enable farmers to conduct eco-friendly agricultural activities through appropriate nitrogen fertilizer use while stably maximizing productivity of Chinese cabbages.

1. 서 론
2. 배경이론
    2.1 질소 비료 사용에 따른 배추 수확량 변화 연구
    2.2 질소 비료 사용에 따른 온실가스 배출 연구
3. 위성 이미지 기반 최적 질소 사용 의사결정시스템
    3.1 위성 이미지 추출 및 농지 검출
    3.2 작물 수확량 및 아산화질소(N2O) 배출량 예측모델
    3.3 최적 질소 비료 사용량 결정
4. 실 험
    4.1 위성 이미지 기반 농지 검출
    4.2 배추 수확량 예측
    4.3 아산화질소(N2O) 배출량 예측
    4.4 최적 질소 시비량 결정
5. 결 론
Acknowledgement
References

• Sumin Kim(Department of Environmental Horticulture & Landscape Architecture, College of Life Science and Biotechnology, Dankook University) | 김수민 (단국대학교 바이오융합대학 생명자원학부 환경원예학전공) Corresponding author
• Sojung Kim(Industrial and Systems Engineering, Dongguk University-Seoul) | 김소정 (동국대학교 산업시스템공학과)
• Youngjin Kim(Industrial and Systems Engineering, Dongguk University-Seoul) | 김영진 (동국대학교 산업시스템공학과)
• Junyoung Seo(Industrial and Systems Engineering, Dongguk University-Seoul) | 서준영 (동국대학교 산업시스템공학과)