Research On Resource Assessment Technology Of Fruit Forest Resources

In view of the problems existing in the evaluation of fruit forest resources,this paper focuses on the market comparison method and the present value method of the evaluation method of fruit forest resources assets by using the basic theory and relevant knowledge of the forest resource assets assessment.On the basis of the basic principle of the market comparison method,this paper introduces the grey relational degree analysis,TOPSIS method and analytic hierarchy process to make a new improvement on the method of determining the weight of each reference case in the market comparison method in the evaluation of fruit forest resource assets.On the other hand,the regression analysis method is introduced in the present value method and the phase is established.The yield prediction model was applied to predict the output of fruit forest products.These studies enrich and improve the research and method system of fruit forest resource assets evaluation,improve the efficiency and accuracy of the evaluation work of fruit tree resources assets,and ensure the steady development of fruit tree industry.The concrete results are as follows:1.the market comparison method is widely used in the evaluation of fruit forest resource assets,but it has the weakness of fuzziness,which makes the valuation of the fruit forest resource assets be influenced by many factors.So by combining the analytic hierarchy process,the TOPSIS method and the grey relational analysis method with the market comparison method,this paper makes a scientific and effective analysis of each specific case,and discusses the relevant theories and applicable conditions of the market comparison method,and studies the whole application of the market comparison method in the evaluation of the fruit forest resources assets.Method and step flow.2.Grey relational analysis theory is used to analyze the degree of correlation between the reference cases and the cases to be evaluated.Because of the characteristics of fruit forest resources assets,the factors that affect the evaluation value can not form a time series,so there is a certain prerequisite in the application of grey correlation analysis.The following three points are listed as follows:A,reference series and comparison series are arranged by various factors that affect the value of fruit forest assets and change the horizontal axis to the cause.A plain axis,without having to be arranged in time.B,the factors that affect the reference case and the value of the case to be assessed are the same and must be the main influencing factors.The influence factors of each element in C and each sequence must be quantified,and then the correlation degree is analyzed.The size of the sample and the regularity of the sample have no effect on the grey correlation analysis.At the same time,the grey correlation analysis also has the advantages of simple calculation,accurate results and clear steps,which can make the quantitative results consistent with the qualitative analysis results,so it is very advantageous in the application of fruit forest resource assets assessment,and should be used at the same time.The prospect is also good.3.Gray relational analysis is used to calculate the weight of each reference case directly or combined with AHP,and the results obtained by the two methods are basically the same.4.Analytic Hierarchy Process(AHP)is a multi-objective decision-making method which combines two indicators.It has the advantages of simple calculation and clear level.It is also suitable for some cases with incomplete data or less data.When some data acquisition is difficult in the evaluation of fruit tree resource assets,the method is more advantageous.5.the annual output of fruit forest products can be estimated when the fruit tree forest product yield prediction model is constructed by regression analysis.On this basis,it can quickly evaluate the value of orchard resource assets,and provide a scientific and feasible method for the management of fruit trees,which will play a very good guarantee for improving its economic benefits.