Study On Agricultural Land Classification Based On Fuzzy Comprehensive Analysis Method

Although China’s land area is vast and rich in resources,the per capita land occupancy is small.With the urbanization process speeding up,the contradiction between people and land resources is highlighted,cultivated land resources are tense,and agricultural land crisis is increasing.In order to promote the intensive and efficient use of regional land resources,manage the agricultural land resources systematically as well as scientifically,find out the changes comprehensively in the “quality“ and “quantity“ of the agricultural land in the county,improve effectiveness of the land resources management of the land sector,and ensure the sustainable development of agricultural economic production.As a result,the various regions of the country must be on a regular basis to assess the quality of agricultural geology,etc.,to grasp the use of distribution and area changes.Agricultural land division work carried out throughout the national economic development process occupies an important position,and is of great significance in the protection of land resources management,agricultural development and construction of urban and rural areas to promote the national economy.Based on the existing evaluation methods of agricultural land quality classification in the county,the author uses illustration information and the data of the parameters collected by the project to obtain the corresponding natural quality points and the other scores according to the formula rules.After correcting the calculation results,make the final judgments.Firstly,this paper summarizes the research trends of land evaluation and agricultural land classification at home and abroad.Based on the theory of location theory and fuzzy mathematics theory,this paper takes the Dinghu area of Zhaoqing C ity as an example to study the regional development.Furthermore,use the required data and some software like Arc GIS,MicrosoftExcel to establish the evaluation of the basic database,building evaluation index system.Due to the grayness and ambiguity of the land division and so on,the gray relational analysis method is used to determine the weight,so as to reduce the subjective influence in the process of determining the weight of the index.Then optimize the fuzzy comprehensive evaluation method,and the fuzzy comprehensive evaluation matrix is obtained as the data source.At last the fuzzy clustering analysis is carried out by Weka software to obtain the equal distribution result of the final evaluation unit.This paper compares the new methods with the existing results of the traditional methods,validates the scientific and operability of the fuzzy comprehensive analysis method scientifically in the agricultural land classification,analyzes the advantages and disadvantages of the fuzzy mathematics and the clustering analysis,to provide some improved references for agricultural land classification in China in the traditional process approach as well as the study of agricultural land classification in the new combining method giving new ideas.It also offers important references for the work of land consolidation and development,the balance of cultivated land,the land requisition system reform and the land use planning,and so on.