Research And Implementation Of Agricultural Meteorological Information Data Mining System Base On GIS

Agricultural production is directly related to the survival and development of mankind, Grain yield stability is the key to sustainable development of society. Climate is one of the important factors affecting grain yield. So according to the general lack of agricultural meteorological information system, Structure agricultural meteorological information data mining system base on GIS, Better scientific utilization of agricultural meteorological fundamental data, is the urgent need to resolve the problem. Through this platform not only to realize the basic data of efficient, flexible and accurate analysis to extract, but also analysis and mining of the existing data resources, internal rules find climate and agricultural development, and improve the efficiency of agricultural production, disaster prevention and mitigation, draw on the advantages and avoid disadvantages to achieve.In this paper, the National Meteorological Bureau of agricultural meteorological data center data basis, to carry out the GIS technology, data mining technology research and application, development and implementation of data mining platform of agricultural meteorological information system. The specific contents are as follows:(1) Analysis of domestic and foreign GIS technology and data mining technology research, combining the needs of agriculture meteorological service, the system development goals.(2) The paper introduces the GIS technology, analysis of the spatial query and spatial analysis technology.(3) All kinds of data mining technology is discussed in detail, the multivariate statistical technique, grey system technology, machine learning technology, fuzzy mathematics technology, neural network technology, genetic technology, swarm intelligence techniques as well as time series analysis technology, and implement the relevant technical method and mode.(4) The establishment of agricultural meteorological data center database. Design of Agrometeorological data vector model, combined with the attribute data, constructs the basic data of agricultural meteorological data center.(5) Design the framework of agricultural meteorological spatial information data mining based on GIS, and the corresponding function module, and in the VS2010 development platform, using the object-oriented programming language C#as the foundation, combined with ArcEngine, data mining algorithm developed map data management subsystem, data processing subsystem, multivariate statistical analysis subsystem, fuzzy mathematical analysis subsystem, the grey system analysis subsystem, machine learning system, neural network, genetic analysis subsystem simulation subsystem, swarm intelligence simulation subsystem and time series analysis subsystem, constructs the agricultural meteorological spatial information data mining platform system.(6) The neural network algorithm, genetic algorithm and ant algorithm is studied, the chaotic neural network algorithm, multi-population evolutionary network analysis function development, the parallel computing technology, improve the function efficiency, enhance the practicality of the algorithm.(7) The system was applied to forecast agricultural yields, yield assessment, disaster evaluation service, verify and validate the feasibility and accuracy of the technology model, at the same time between the model and the models are compared, to provide the theory basis for the choice of model further related work.The system not only can yield prediction, evaluation services for agricultural meteorology; and can dig out the implicit or explicit relationship between meteorological factors and agricultural development, thus providing the basis for the decision-making of agricultural development; at the same time as the agricultural meteorological research work deep into development to provide auxiliary platform.