寒旱农业科学2026，Vol.5Issue(4)：340-346,7.DOI:10.3969/j.issn.2097-2172.2026.04.009
基于PCA的智能温室切花玫瑰产量驱动因素分析
Analysis of Driving Factors for Cut Rose Yields in Smart Greenhouses Based on Principal Component Analysis
摘要
Abstract
To achieve high,stable yield and efficient production of cut rose in smart greenhouses,this study focused on the yield driving factors of cut rose production in smart greenhouses taking the Flower Industry Base of the Modern Agricultural Demon-stration Park in Lanzhou New Area as an example.By employing Principal Component Analysis(PCA)method,production data from July 2021 to June 2024 were systematically analyzed.Results showed that factors such as indoor average light intensity,indoor aver-age temperature,and cumulative OR-water irrigation volume had a decisive impact on rose yield and quality.Factors including total production costs,staffing,indoor average carbon dioxide concentration,and cumulative fertilizer applicationrates indirectly promoted yield improvement by optimizing production efficiency,environmental stability,and nutrient supply.As a market influence factor,sales unit price also had an important influence on yield.The results of PCA indicated that the cumulative variance contribution rate of the 4 extracted principal components reached 85.461%.Among them,indoor average light intensity,indoor average temperature,and cumulative OR-water irrigation volume played dominant roles in the first principal component,while factors such as total production costs and staffing had significant effects in the second principal component,and sales unit price played a decisive role in the third prin-cipal component.Based on these findings,recommendations were proposed,including scientifically regulating environmental factors,optimizing indirect management measures,formulating reasonable market strategies,and strengthening data-driven decision-making,so as to provide theoretical support and practical guidance for the cultivation and management of cut roses in smart greenhouses.关键词
智能温室/切花玫瑰/主成分分析/驱动因素Key words
Smart Greenhouse/Cut rose/Principal Component Analysis/Driving factor分类
农业科技引用本文复制引用
李建承,王连泉,江龙龙,白俊龙,唐学祥,高博,胡轼林..基于PCA的智能温室切花玫瑰产量驱动因素分析[J].寒旱农业科学,2026,5(4):340-346,7.基金项目
国家玫瑰鲜切花全产业链标准化示范区(SFQ11-87). （SFQ11-87）
