K-평균 알고리즘을 이용한 스마트팜 농작업별 소요시간에 따른 군집분석

Cluster Analysis of Paprika Smartfarm Based on Working Time Using K-means Algorithm

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.