Study On Information Management Systems Of Agricultural Mechanization Based On Data Mining And System Integration

Agricultural mechanization replaces manpower and animal force with machines to transform technically the agricultural production and develop agricultural economy. The wide application of agricultural machinery in farm production aroused the fundamental revolution of farm production mode, largely improved the productivity of labor forces and fields, and potently insured the development of world agriculture and food security. Moreover, agricultural mechanization ultimately emancipated large amounts of farming practitioners to engage in other more significant jobs, which consequently promoted labor division in social production, propelled the advancement of industry and service industry, and boomed the world economy prosperity.Since the foundation of P. R. China, especially after the reform and opening to the outside world, the agricultural mechanization in our country has developed greatly and made large contributions to the development of rural economy and the realization of well-off society. At the beginning of 21st century, China participated in WTO and stepped into a new stage of constructing the nation-wide well-off society and accelerating the socialism modernization. Facing the challenges from economy globalization and daily-incandesced international competition, it is of significant realistic meanings to reinforce the studies of information management in the field of agricultural mechanization management, improve the level of making scientific decisions in agricultural machinery administration and consummate the macroscopic control and microscopic guidance in agricultural mechanization to precipitate its development.The scopes of interest in this paper focused mainly on two parts:1. The management decision of agricultural mechanization is complicated system engineering. In order to appropriately solve diverse practical problems occurring in the agricultural mechanization management, the popular data mining technique was introduced to study its quantitative analysis methods in the hierarchies of macro-management organization and micro-administration, which mainly concentrated on:(1) Methods for determining weights of combined forecasting was discussed by means of dependence of attributes and significance of attributes in Rough Sets. The relative data model between forecast objective and forecast model, and knowledge system and decision table was established respectively by means of converting continuous attribute values into discrete attribute values. Then, the weight of combination forecast was calculated by computing both dependence and significance of between forecast model and forecast objective according to estimating dependence and significance of attributes in Rough Sets theory. Finally, the combined forecasting model of grain was established in terms of statistic of grain yield from 1980 to 2002 in Zhejiang Province, China.(2) Considering the subjective influences on the evaluation results in the common evaluation methods for agricultural mechanization, fuzzy clustering was integrated with rough set theory to quantify the weights based on the information content in each criterion of statistics.(3 ) In view of the present status that the study stays on the prediction for the total power of agricultural machinery, the correlation analysis for influencing factors of total power ofagricultural machinery in Zhejiang Province, China proceeded using the gray correlation coefficients gray system theory. Meanwhile, the variation tendency of total power of agricultural machinery was predicted by GM (1,1) model of gray system.(4) Mathematical models of on-condition maintenance tractors of overhaul life, and both repair and replacement limits were put forward by means of average cost principle of equipment renewing. The optimum renewal and rational cycles in different conditions were analyzed for optimizing the economical benefits of the tractors owners.( 5 ) As to the problem of week adaptability to the change of outward things of NPV (net present value) in feasibility study of agricultural mechanization program nowadays, the existing NPV model was improved and consummated using risk-behavior decision-making theory, then the improved NPV analysis method of risk investment projects and indefinite investment projects were presented as an application case.2. The MIS (management information system) and DSS (decision support system) used in agricultural machinery managements department only recognize the use the character information, but more than 50% information was space attribute information. Therefore, the ability to make full use of every property and spatial information for the agricultural machinery management departments was improved by means of system integration techniques to integrate GIS (geographic information system) with the function of handling spatial information and traditional MIS/DSS.(1) In order to realize the integration of GIS and traditional MIS/DSS, every integration mode of GIS and information handling system model was analyzed in detail, offering an available reference for realizing the integration of diverse information systems and making reasonable schemes.(2) Decision support system for agricultural machinery management based on GIS was designed and developed by system integration technique. VB was used as the main developing tool and Maplnfo Professional 7.0 as geographic information platform. Microsoft ACCESS 8.0 database was combined. The system has not only every function of the traditional MIS/DSS but also the function of spatial information analysis and making maps of the results.( 3 ) The evaluation model of the developing level of agricultural mechanization was set up to evaluate the total developing level of agricultural mechanization of Zhejiang province and make comparison of each district. On one hand, variation tendency of total developing level was analyzed by the function of making graphic in integration system;on the other hand, specialized maps of evaluation results and influenced factor of each region was made by the function of GIS subsystem. Thus, the spatial distribution regularity of developed level and influenced factors of agricultural mechanization of Zhejiang province was analyzed. Finally, some corresponding measures and suggestions were put forward for the development of agricultural mechanization of Zhejiang province.