K-평균 알고리즘을 이용한 스마트팜 농작업별 소요시간에 따른 군집분석

• 영문명: Cluster Analysis of Paprika Smartfarm Based on Working Time Using K-means Algorithm
• 발행기관: 한국농식품정책학회
• 저자명: 노희선 이윤숙
• 간행물 정보: 『농업경영.정책연구』49권 4호, 659~673쪽, 전체 15쪽
• 주제분류: 자연과학 > 생활/식품과학
• 파일형태: PDF
• 발행일자: 2022.12.30

영문 초록

This study attempts to establish a standardized model of smartfarm working process for paprika. First, we classify main works by each production stage and then we evaluate difficulties and lengths of major works by cross-check. Finally we investigate real working hours of each main work in twenty paprika smartfarms. Based on the real data of working hours, we utilize a cluster analysis using the K-means algorithm and Silhouette method in order to categorize paprika smartfarms. The results from the K-means cluster analysis show that sixteen farms were clustered into ten groups. We conclude that each farm was not clearly categorized.

목차

Ⅰ. 서 론

Ⅱ. 분석자료 및 모형

Ⅲ. 분석결과

Ⅳ. 요약 및 결론

참고문헌

키워드

Clustering Analysis K-means Algorithm Smartfarm Paprika Working Time Silhouettes Method