基于信息熵技术的智慧农业平台优化设计

Optimization Design of Intelligent Agriculture Platform Based on Information Entropy Technology

以智慧农业平台信息熵变化过程为研究对象,基于信息熵的基本理论,分别从智慧农业平台中包含的输入型信息熵、输出型信息熵、诱因代谢型信息熵及自我代谢型信息熵4个方面,建立智慧农业平台信息熵体系。采用标准化信息熵指标数据处理方法,对智慧农业平台体系进行数据处理。以宝鸡市智慧农业平台熵变数据为分析优化对象,建立智慧农业平台信息熵优化模型,对优化模型求解,结果表明:宝鸡市智慧农业平台总熵变呈下降趋势,可持续发展能力综合得分呈逐渐上升趋势。通过优化分析结果可以看出:基于信息熵技术实施的智慧农业平台优化过程,可有效地对某一地区的信息熵变过程进行分析,为地区总熵变分析优化提供理论依据。

Based on the basic theory of information entropy,this paper takes the change process of information entropy of intelligent agriculture platform as the research object,and establishes the information entropy system of intelligent agriculture platform from four aspects:input information entropy,output information entropy,inducement metabolism information entropy and self metabolism information entropy.The data processing method of standardized information entropy index is used to process the data of intelligent agriculture platform system.Taking the entropy change data of Baoji intelligent agriculture platform as the analysis and optimization object,the information entropy optimization model of the intelligent agriculture platform is established,and the optimization model is solved.It can be seen that the total entropy change of Baoji intelligent agriculture platform shows a downward trend,and the comprehensive score of sustainable development ability shows a gradual upward trend.Through the optimization design results,we can see that the intelligent agriculture platform optimization process based on information entropy technology can effectively analyze the information entropy change process of a certain region,and provide theoretical basis for the analysis and optimization of regional total entropy change.