基于PCA的温室控制蔬菜生产投入与产出调查分析——以江西乐平市蔬菜生产基地为例

Investigation and Analysis of Greenhouse Control Vegetable Production Input and Output Based on PCA——Take Jiangxi Leping City Vegetable Production base as an example

本文以基于温室控制的蔬菜生产投入与产出关系为研究对象,在对江西乐平温室蔬菜生产基地调查的基础上,使用SPSS统计分析软件对实地调查问卷进行定量比较,采用主成分分析法(PCA)重点剖析了智能温室控制系统的使用对菜农投入与产出的各大影响因子。结果表明:智能温室控制系统的技术培训力度、政府的蔬菜补贴和种植户对技术的掌握度对产出影响较大,其次是智能温室控制系统的前期投入、种植面积等因素,而劳动力投入对产出影响不大。

In this paper, based on the relationship between the input and output of vegetable production greenhouse control for the study, in Jiangxi Leping greenhouse vegetable production base on the basis of the investigation, using SPSS statistical analysis software for quantitative comparison of field surveys, using principal component analysis(PCA) focused on the analysis of the use of intelligent control systems, the major greenhouse factor on vegetable inputs and outputs. The results showed that: Intelligent Greenhouse Control System technology training, a large government subsidies and vegetable growers master degree of technology impact on output, followed by the intelligent greenhouse control system upfront investment, acreage and other factors, while labor input does not affect output.