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基于数据挖掘和信息融合技术的农机化系统功能评价

Study on Function Evaluation for Agricultural Mechanization System Based on Data Mining and Information Fusion

【作者】 池红峰

【导师】 郑文钟;

【作者基本信息】 浙江大学 , 生物系统工程, 2012, 硕士

【摘要】 农业机械化,是指运用先进适用的农业机械装备农业,改善农业生产经营条件,不断提高农业的生产技术水平和经济效益、生态效益的过程。科学的评估当前农业机械化水平的发展现状,对有效的指导农业生产,制定相应的法规政策,提高整体的管理决策水平具有十分重要的作用。本文以浙江省金华市农业机械化作为整体研究对象,通过系统调查、实地分析,综合利用计算机科学、系统科学、区域经济学以及管理学科等等多学科的方法结合,在对分析金华市整体农业发展现状的基础上,着重分析金华市农机化系统的竞争力现状,二次相对效率水平,以及农机化对农业产出的贡献率问题。本文主要研究内容为:1、以农业竞争力现状角度作为切入点反应当前的农业机械化现状,通过建立农业竞争力评价指标体系,综合运用粗糙集、模糊聚类、信息论等相关数据挖掘方法分析当前的金华市农业机械化水平,并指出存在的问题。2、通过引入经济学中的二次相对效益理论,在有效的剔除基础条件差异对绩效评价影响的基础上,分析金华市当前农机化系统的技术效率水平,并同时对影响农机技术效率水平的因子进行辨识。3、运用主成分分析方法对影响金华市农业产出的各成分因子进行研究,确定主要影响因子,通过柯布-道格拉斯生产函数得出生产函数模型并分阶段对各影响因子的贡献率进行分析。4、新形势下总结金华市的发展基础、发展机遇、发展方向以及存在的问题,并对以后的发展给出意见和建议。

【Abstract】 Agricultural mechanization,refers to the process of the use of advanced and applicable agricultural machinery to equipment agriculture,in order to improve the agricultural production and management conditions, and continuously improve the level of production technology, economic benefits and ecological benefits. The scientific evaluation of the level of agricultural mechanization development situation in present,which plays an important role in guide the agricultural production effectively,formulate corresponding policies and regulations and improve the overall management levels.The paper take the agricultural mechanization in Jinhua in Zhejiang province as the overall study object,through a multidisciplinary approach based on systematic investigation,field analysis,the comprehensive use of computer science,system science,regional economics and management science and so on.The study based on the analysis of agricultural development in Jinhua city,focus on the analysis of the agricultural mechanization system competitiveness,two second relative efficiency and as well as the output contribution which provided by agricultural mechanization.The paper main research content:1 Reflect the agricultural mechanization situation by the analysis of agricultural competitiveness,through the establishment of agricultural competitiveness evaluation index system, and the integrated use of Rough Set,Fuzzy Clustering,Information theory and other related data mining methods,to analysis the level of agricultural mechanization of Jinhua,and point out the existed problems.2 Through the introduction of the two relative benefit theory in economics, effectively eliminate the fundamental condition difference on the impact on performance evaluation, analyse technical efficiency level of the current agricultural system, and at the same time do the impact factor identification.3 The study of the factor which impacted the agricultural output based on the application of principal component methods,calculate the production function model in the use of Cobb-Douglas function and the analysis of the contribution rate of each influence factor by stage.4 The summary of the development foundation,development opportunity and existed problems in Jinhua in new situation,The suggestions and recommendations are given in the new future development directions.

  • 【网络出版投稿人】 浙江大学
  • 【网络出版年期】2012年 08期
  • 【分类号】TP311.13;F323.3
  • 【被引频次】1
  • 【下载频次】70
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