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    노지감귤과 스마트팜의 비용분석 : 몬테카를로 시뮬레이션 활용 = Cost analysis of outdoor mandarin and smart farms : Using Monte Carlo simulation

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    https://www.riss.kr/link?id=T16072709

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The purpose of this study is to investigate the difference in Management expenses between smart farms and outdoor mandarin through Monte Carlo simulation. Monte Carlo simulation was performed through Oracle Ball.
    Tornado analysis, Spider chart, sensitivity analysis, Predictor analysis, and predictive comparative analysis were performed using Oracle Ball. Recently, artificial intelligence, augmented reality, and big data have become common, while agriculture is aging severely. Agriculture is threatened with sustainability due to a decrease in the labor force. Smart farms are being distributed to solve the aging problem of agriculture. Smart Farm has the advantage of reducing working hours and increasing production. However, uncertainty is often linked between technology and technology users. This uncertainty is solved through simulation. In Tornado and Spider chart analysis, pesticide costs, fertilizer costs, and site development cost have a great influence on intermediate goods. In sensitivity analysis, pesticide costs, redemption cost for farming facilities, and fertilizer costs have a great influence on intermediate goods. In the predictive simulation analysis, it was analyzed that there was no significant difference between smart farms and outdoor mandarin of intermediate goods. This was analyzed because there was no significant difference in pesticide costs, which have a great influence on intermediate goods.
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    The purpose of this study is to investigate the difference in Management expenses between smart farms and outdoor mandarin through Monte Carlo simulation. Monte Carlo simulation was performed through Oracle Ball. Tornado analysis, Spider chart, sensit...

    The purpose of this study is to investigate the difference in Management expenses between smart farms and outdoor mandarin through Monte Carlo simulation. Monte Carlo simulation was performed through Oracle Ball.
    Tornado analysis, Spider chart, sensitivity analysis, Predictor analysis, and predictive comparative analysis were performed using Oracle Ball. Recently, artificial intelligence, augmented reality, and big data have become common, while agriculture is aging severely. Agriculture is threatened with sustainability due to a decrease in the labor force. Smart farms are being distributed to solve the aging problem of agriculture. Smart Farm has the advantage of reducing working hours and increasing production. However, uncertainty is often linked between technology and technology users. This uncertainty is solved through simulation. In Tornado and Spider chart analysis, pesticide costs, fertilizer costs, and site development cost have a great influence on intermediate goods. In sensitivity analysis, pesticide costs, redemption cost for farming facilities, and fertilizer costs have a great influence on intermediate goods. In the predictive simulation analysis, it was analyzed that there was no significant difference between smart farms and outdoor mandarin of intermediate goods. This was analyzed because there was no significant difference in pesticide costs, which have a great influence on intermediate goods.

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    목차 (Table of Contents)

    • Ⅰ. 서 론 1
    • 1. 연구의 배경 및 목적 1
    • Ⅱ. 이론적 배경 3
    • 1. 스마트팜(Smart Farm)의 개요 3
    • 1) 스마트팜(Smart Farm)의 정의 및 특징 3
    • Ⅰ. 서 론 1
    • 1. 연구의 배경 및 목적 1
    • Ⅱ. 이론적 배경 3
    • 1. 스마트팜(Smart Farm)의 개요 3
    • 1) 스마트팜(Smart Farm)의 정의 및 특징 3
    • (1) 스마트팜(Smart Farm)의 정의 3
    • (2) 스마트팜(Smart Farm)의 특징 4
    • 2) 스마트팜(Smart Farm)의 국내외 연구 6
    • (1) 스마트팜(Smart Farm) 국내 연구 6
    • (2) 스마트팜(Smart Farm) 해외 연구 9
    • Ⅲ. 연구설계 및 분석 13
    • 1. 연구 설계 13
    • 1) 데이터 수집 13
    • 2) 몬테카를로 시뮬레이션 15
    • 3) 분포함수 정의 15
    • 2. 분석 결과 17
    • 1) Tornado 차트 분석 17
    • 2) Spider 차트 분석 19
    • 3) 민감도 분석 비교 21
    • 4) Predictor 분석 22
    • 5) 노지감귤과 스마트팜 예측 비교 분석 25
    • (1) 농약비 비교 25
    • (2) 비료비 비교 27
    • (3) 중간재 비교 29
    • Ⅳ. 결론 32
    • 1. 연구결과 32
    • 2. 시사점 및 한계점 33
    • 참고 문헌 36
    • 부록:기초데이터(엑셀시트) 41
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