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Study On Evaluation Of Cultivated Land Fertility In Shouxian County Based On Random Number Fuzzy Statistics Method

Posted on:2019-09-13Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ZhuFull Text:PDF
GTID:2370330551459416Subject:Agriculture
Abstract/Summary:PDF Full Text Request
According to the requirements of the revised version of the technical specification for soil testing and fertilization(Trial Implementation),the analytic hierarchy process(AHP)and Delphy Fa(Delphy Fa)were used to evaluate the cultivated land in 2009.The project is based on a large number of sampling points and data.At the end of the project,it is not possible to use a large number of samples to evaluate the quality of cultivated land again.It is of practical significance and application value to study how to use small sampling point monitoring data to realize the evaluation of cultivated land and to update the quality grade of cultivated land.This paper takes Shouxian County of Anhui Province as the research area.According to the features of topography and geomorphology,it selects the south end of gang Yan Liu Zhen,the central plain of an Feng Tong Town,and the northern remnants of Shou Chun town,and uses 2010-2016 years of Shouxian County actual sampling data(5600)as the research domain,and adopts the random number method of small quantity sampling(50 selected).The fuzzy comprehensive evaluation method is applied to evaluate the cultivated land fertility,and it is expected that the land productivity can be accurately evaluated with small sample data.Through the research team of the Institute of resources and environment of Anhui Agriculture University,the results of cultivated land grade evaluation are compared and analyzed in Shouxian County's "summary and application of soil testing formula results".The results show that the evaluation result of the small amount of data sampled by random number method and the result evaluation result of the original cultivated land strength evaluation The grade of cultivated land quality is basically the same as above 95%.The characteristic of this method is that the amount of data involved in the operation is small,the result of evaluation is consistent,and it can also accurately reflect the quality level of the actual cultivated land in the study area.It can be suitable for the local and fine quantized farmland evaluation needs,and provides a reference for the future quality grade updating and monitoring management of cultivated land.
Keywords/Search Tags:farmland productivity evaluation, random number, fuzzy statistics, least square method
PDF Full Text Request
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