CN114399332A - Arable land price evaluation method and system and electronic equipment - Google Patents

Abstract

The invention provides a farmland price evaluation method, a farmland price evaluation system and electronic equipment, wherein the method comprises the following steps: acquiring geographical position information and an attention item of an attribute index of a target farmland; calling an attribute index of the target farmland by an attribute index database according to the attention item, and determining a homogeneous region of the farmland to which the attribute index database belongs; obtaining a reference land price of the target cultivated land from a reference land price database; determining a correction parameter of the target farmland based on the attribute index of the target farmland and the reference attribute index of the homogeneous farmland area to which the target farmland belongs; and obtaining the evaluation price of the target cultivated land based on the reference land price and the correction parameters. The method is used for solving the defects that in the prior art, the price determination subjectivity is strong and the cultivated land prices in different regions are difficult to realize unified standardization by carrying out cultivated land value accounting through a traditional manual evaluation mode, unifying the cultivated land price evaluation standards in different regions by pre-storing cultivated land attribute indexes and reference land prices, and realizing rapid, objective and accurate and large-scale evaluation.

Description

A method, system and electronic equipment for arable land price assessment

technical field

The invention relates to the technical field of land price estimation, and in particular, to a method, system and electronic equipment for arable land price assessment.

Background technique

The transaction of farmland management rights is a necessary link to optimize the allocation of rural production factors and realize agricultural modernization. At present, the transfer area of contracted management rights of cultivated land nationwide has exceeded 1/3 of the total area of contracted cultivated land. The strong transaction demand has led to the demand for cultivated land resource information, especially value information.

Since the ownership of cultivated land is owned by the village collective and is used by farmers in the form of contracted management rights, cultivated land resources are mostly allocated by the farmers in the village collective according to quantity, quality and distribution. of shredding. In the current transaction of farmland management rights, it is difficult to gather information and evaluate the price of these fragmented farmlands. The price evaluation method of small parcels of land that relies on evaluation agencies and appraisers has high cost, long cycle, and the selection of evaluation parameters. and measurement will also vary greatly depending on the appraiser and the appraisal background. Limited by their own economic conditions, village collectives or farmers are difficult to evaluate the value of cultivated land, and the value management of village cultivated land lacks tools, resulting in the transfer price of cultivated land management rights in my country. price". The lack and randomness of arable land price information has resulted in damage to farmers' rights and interests, and frequent transaction conflicts.

In addition, when using traditional manual appraisal to calculate the value of cultivated land, appraisers mostly determine the value of appraisal parameters based on their own experience, and the appraisal process is greatly affected by human subjective judgment. However, the current agricultural land evaluation system mostly relies on the existing grading and grading results in the region, and the differences in grading and grading standards among regions make it difficult to achieve a “one map” of national land prices.

Therefore, a rapid evaluation method of cultivated land price is urgently needed to solve the problems of lack of cultivated land price signals in the current land market and strong subjectivity of price determination, to realize the rapidity, objectification and accuracy of the evaluation process and parameters, and to provide digital management and transaction of cultivated land assets. Provide objective and accurate value information to serve the accounting and unified management of natural resources assets.

SUMMARY OF THE INVENTION

The invention provides a cultivated land price evaluation method and system, which is used to solve the problem that in the prior art, the traditional manual evaluation method is used to calculate the cultivated land value, resulting in strong subjectivity in price determination, and it is difficult to achieve unified standardization of cultivated land prices in different regions. Through the pre-stored cultivated land attribute indicators and benchmark land prices, the evaluation standards of cultivated land prices in different regions are unified, and rapid, objective, accurate and large-scale evaluation can be realized.

The present invention provides a method for evaluating the price of arable land, comprising:

Obtain the geographic location information of the target farmland and the attention items of the attribute indicators;

Based on the location points set on the target cultivated land, the attribute index database of the set attribute index retrieves the attribute index of the target cultivated land according to the item of interest, and determines the homogenous cultivated land area to which the target cultivated land belongs; the attribute The index database is a data set that saves attribute indexes of each block located in different geographical locations, the homogeneous cultivated land area to which each block belongs, and the benchmark attribute indexes of each homogeneous cultivated land area; the homogeneous cultivated land area Obtained by classifying the cultivated land according to the attribute index corresponding to each block; the benchmark attribute index is the average value of the attribute index in the homogeneous area of the cultivated land;

Based on the homogeneous area of cultivated land to which the target cultivated land belongs, searching in the set benchmark land price database to obtain the benchmark land price of the target cultivated land;

Determine the correction parameter of the target cultivated land based on the attribute index of the target cultivated land and the benchmark attribute index of the homogenous cultivated land area to which the target cultivated land belongs;

Based on the reference land price and the correction parameter, the assessed price of the target farmland is obtained.

According to the cultivated land price evaluation method of the present invention, the attribute indexes include: natural factor attribute indexes and social economic attribute indexes;

The natural factor attribute indicators include: terrain slope, soil pH value, effective soil layer thickness, soil organic matter content, and surface soil texture;

The socio-economic attribute indicators include: traffic accessibility, influence of central cities and towns, distance from farmland to rural settlements, and distance from farmland to farmers' markets.

According to the method for evaluating the price of cultivated land according to the present invention, the method for classifying the cultivated land into grades based on the attribute indexes corresponding to each block includes:

Based on the preset rules, standardize each attribute index corresponding to each block to obtain a standardized score of the attribute index corresponding to each block; the attribute index corresponding to each block is the corresponding item of interest attribute index;

Based on the entropy weight method, the weight value of each attribute index corresponding to each block is obtained;

Based on the standardized scores of the attribute indicators of the various blocks and the weight value, obtain the comprehensive scores of the attribute indicators of the various blocks;

Based on the comprehensive scores of the attribute indexes of the various blocks, the various blocks are graded.

According to the arable land price evaluation method of the present invention, the reference land price database is a data set storing the reference land prices of the homogeneous areas located in different geographical locations;

The method for constructing the data sets of the benchmark land prices of the homogeneous areas located in different geographical locations, including:

Generate the minimum circumscribed rectangle of all cultivated patches in the target area;

Based on the set area size, the minimum circumscribed rectangle is divided into several spatial grids;

Spatially intersect all the cultivated land in the target area with the spatial grid, and extract the spatial grid containing the cultivated land;

Based on the types of crops suitable for planting in each of the homogeneous regions, obtain crop yield estimates of multiple sample plots randomly selected in each of the homogeneous regions in each spatial grid containing arable land;

Based on the crop yield estimates of the plurality of sample plots, obtain the average crop yield in each of the homogeneous areas;

Based on the average value of crop yields in each of the homogeneous areas, the benchmark land prices of each of the homogeneous areas located in different geographic locations are obtained.

According to the method for evaluating the price of cultivated land according to the present invention, based on the types of crops suitable for planting in each of the homogeneous areas, a plurality of samples randomly selected in each of the homogeneous areas in each spatial grid including arable land are obtained. Crop yield estimates for point plots, including:

Determine the types of crops suitable for planting in each of the homogeneous areas based on the set standard farming system divisions;

Based on the crop types suitable for planting in each of the homogeneous areas and the set yield estimation formula, the crop yield estimate of each of the sample plots is obtained;

The yield estimation formula is:

Among them, Yi is the yield estimate of crop _i in the plot; NPP is the net primary productivity of the plant; HI _i is the harvest index of crop i; fAG _i is the ratio of the above-ground biomass of crop i to the biomass of the whole plant; MC _i is the moisture content of crop i.

According to the arable land price evaluation method of the present invention, the benchmark land price of each of the homogeneous areas located in different geographical locations is obtained based on the average value of crop yields in each of the homogeneous areas, including:

Based on the set area range, the average price of crops in each of the sample plots is obtained;

Based on the average crop yield in each of the homogeneous areas, the corresponding average price of crops in each of the sample plots, and the set benchmark land price estimation formula, the average value of each homogeneous area located in different geographical locations is obtained. benchmark land price;

The formula for estimating the benchmark land price is:

Among them, P ₀ is the benchmark land price; α is the annual net income of the land, which is equal to the product of the average crop yield in each of the homogeneous areas and the average crop price of the corresponding sample plots; r is the land restoration rate ; m is the maximum land use period.

According to the cultivated land price evaluation method of the present invention, the correction parameters of the target cultivated land include: a positive upward correction parameter, a negative downward correction parameter, and zero;

The method for constructing the up-regulation correction parameters and the down-regulation correction parameters includes:

Based on the estimated crop yield of each sample plot in each spatial grid containing arable land, the land price of each of the sample plots is obtained;

Based on the benchmark land prices in each of the homogeneous areas, the highest and lowest land prices in the sample plots are taken as the upper and lower limits of the land price, respectively, to obtain the upward adjustment range and the downward adjustment range of the correction parameter. limit value;

Based on the upward adjustment range and the downward adjustment range limit of the correction parameter, and the weight value of each attribute index corresponding to the item of interest, the upward correction coefficient and the downward correction coefficient of each attribute index are obtained respectively.

According to the cultivated land price evaluation method of the present invention, determining the correction parameter of the target cultivated land based on the attribute index of the target cultivated land and the benchmark attribute index of the cultivated land homogeneous area to which the target cultivated land belongs, including:

When the attribute index of the target cultivated land is lower than the benchmark attribute index of the homogenous cultivated land area to which the target cultivated land belongs, determining the correction parameter of the attribute index of the corresponding item of the target cultivated land as the downward correction coefficient;

When the attribute index of the target cultivated land is higher than the benchmark attribute index of the homogenous cultivated land area to which the target cultivated land belongs, determining the correction parameter of the attribute index of the corresponding item of the target cultivated land as the upward correction coefficient;

When the attribute index of the target cultivated land is equal to the reference attribute index of the homogenous cultivated land area to which the target cultivated land belongs, it is determined that the correction parameter of the attribute index of the corresponding item of the target cultivated land is zero.

According to the cultivated land price evaluation method of the present invention, obtaining the evaluation price of the target cultivated land based on the benchmark land price and the correction parameter, including:

Based on the benchmark land price and the correction parameter, and according to the set target land price estimation formula, obtain the assessed price of the target farmland;

The target land price estimation formula includes:

为所述关注项对应的各项属性指标的修正调整幅度和；K_j为土地使用年期修正系数；n为目标耕地的拟流转年限。Among them, P is the assessed price of the target farmland;

is the correction adjustment range sum of each attribute index corresponding to the concerned item; K _j is the correction coefficient of the land use period; n is the intended circulation period of the target farmland.

The present invention also provides a cultivated land price evaluation system, comprising:

The data acquisition module is used to acquire the geographic location information of the target cultivated land and the attention items of the attribute indicators;

The homogeneous area determination module is used to retrieve the attribute index of the target cultivated land from the set attribute index database according to the item of interest based on the position point set on the target cultivated land, and determine the target cultivated land to which the target cultivated land belongs. Homogeneous cultivated land area; the attribute index database stores attribute indexes of each block located in different geographical locations, the cultivated land homogeneous area to which each block belongs, and the data of the benchmark attribute indexes of each said cultivated land homogeneous area The homogeneous area of arable land is obtained by classifying arable land based on the attribute indexes corresponding to each block; the reference attribute index is the average value of the attribute indexes in the homogeneous area of cultivated land;

A benchmark land price determination module, configured to search in the set benchmark land price database based on the homogeneous area of cultivated land to which the target cultivated land belongs, to obtain the benchmark land price of the target cultivated land;

a correction parameter determination module, configured to determine the correction parameter of the target farmland based on the attribute index of the target farmland and the benchmark attribute index of the farmland homogeneous area to which the target farmland belongs;

A land price evaluation module, configured to obtain the evaluation price of the target farmland based on the reference land price and the correction parameter.

The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, when the processor executes the program, the processor implements any of the above-mentioned programs. Describe the steps of the cultivated land price assessment method.

The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the steps of any one of the above-mentioned methods for evaluating cultivated land prices.

The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of any one of the above-mentioned methods for estimating cultivated land prices.

The method, system and electronic device for evaluating the price of cultivated land provided by the present invention pre-store the attribute indexes of the cultivated land according to the different geographical locations of the cultivated land, so that when the user needs to evaluate the cultivated land price, the cultivated land price can be evaluated based on the cultivated land that the user pays attention to. The evaluation price of cultivated land can be obtained from the attribute index, which avoids the subjectivity of using cultivated land attribute index determined manually based on experience to evaluate the price, and the defects of multi-regional evaluation price standards are not uniform.

By using the correction parameters determined by the attribute index of the target cultivated land and the benchmark attribute index of the cultivated land homogeneous area to which the target cultivated land belongs, the pre-stored benchmark price of the cultivated land homogeneous area to which the target cultivated land belongs is corrected, so that the pre-stored benchmark price is realized. Based on the evaluation of the evaluation price of the target cultivated land, the evaluation of cultivated land can be rapid, objective and standardized.

Description of drawings

In order to explain the present invention or the technical solutions in the prior art more clearly, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are the For some embodiments of the invention, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

Fig. 1 is the schematic flow chart of a kind of arable land price assessment method provided by the present invention;

Fig. 2 is the structural representation of the minimum circumscribed rectangle of an example provided by the present invention;

3 is a schematic structural diagram of dividing the minimum circumscribed matrix shown in FIG. 2 into a spatial grid provided by the present invention;

4 is a schematic structural diagram of a spatial grid containing cultivated land obtained by performing spatial intersection analysis on the initial spatial grid shown in FIG. 3 and cultivated land provided by the present invention;

5 is a schematic structural diagram of a cultivated land price assessment system provided by the present invention;

FIG. 6 is a schematic structural diagram of an electronic device provided by the present invention.

Reference number:

1: Cultivated land; 2: Minimum circumscribed matrix; 3: Initial spatial grid;

4: Spatial grid containing cultivated land.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

A method for evaluating the price of cultivated land of the present invention is described below with reference to FIGS. 1 to 4, which is executed based on a computer or a combination of software and/or hardware therein; (Geographic Information System) platform implementation, such as ArcGIS, GeoStar, SuperMap, MapGIS, etc. The ArcGIS platform is used as an example for detailed description.

As shown in Figure 1, the method specifically includes the following steps:

101. Obtaining the geographic location information of the target cultivated land and the attention items of the attribute indicators;

102. Based on the location points set on the target cultivated land, the attribute index database of the set attribute index retrieves the attribute index of the target cultivated land according to the item of interest, and determines the homogenous cultivated land area to which the target cultivated land belongs; The attribute index database is a data set that saves attribute indexes of each block located in different geographical locations, the homogeneous cultivated land area to which each block belongs, and the benchmark attribute indexes of each homogeneous cultivated land area; the cultivated land is The quality area is obtained by classifying the cultivated land based on the attribute index corresponding to each block; the reference attribute index is the average value of the attribute index in the homogenous area of the cultivated land;

103. Based on the homogeneous area of cultivated land to which the target cultivated land belongs, search in the set benchmark land price database to obtain the benchmark land price of the target cultivated land;

104. Determine the correction parameter of the target cultivated land based on the attribute index of the target cultivated land and the benchmark attribute index of the homogenous cultivated land area to which the target cultivated land belongs;

105. Based on the benchmark land price and the correction parameter, obtain an estimated price of the target farmland.

Specifically, to evaluate the price of cultivated land, the location of the cultivated land must first be determined, and the price of cultivated land is not only related to the location, but also to some other attributes of the cultivated land that the user is concerned about, such as: the terrain of the cultivated land, PH value, distance from the farmers market Therefore, in the cultivated land price evaluation method of the embodiment of the present invention, firstly, the geographic location information of the target cultivated land and the attention items of the attribute index must be obtained, and then in order to avoid the traditional manual evaluation of land subject to subjective factors The disadvantage of excessive influence is that the various attribute indicators of each block are pre-stored in the attribute index database according to the geographical location, so that when evaluating the price of the target farmland, it can be based on the geographical location information of the target farmland input by the user and the selected data. For the attention item of the attribute index, the attribute index at the corresponding geographical location is retrieved from the attribute index database, and then the price of the target farmland is evaluated by these attribute indexes.

More specifically, by classifying the cultivated land based on the attribute indicators corresponding to each block to obtain the cultivated land homogeneous area, and then pre-stored based on each cultivated land homogeneous area to obtain the benchmark land price of the cultivated land homogeneous area at each location, you can use the target cultivated land based on the target cultivated land. After determining the homogeneous area of cultivated land to which the target cultivated land belongs, the benchmark land price of the target cultivated land is obtained. Finally, in order to improve the accuracy of the price evaluation of the target cultivated land, according to the attribute index of the target cultivated land and the standard of the homogeneous area to which it belongs. Attribute indicators, determine the correction parameters of the land price, and obtain the price of the target cultivated land according to the modified parameters and the benchmark land price, which not only reduces the influence of human subjective judgment on the value of the evaluation parameters when calculating the value of the cultivated land, but also solves the problem of distinguishing the original basis. The results of the grading lead to the problem of difficult spatial connection of prices, realizing rapid integration, objective and accurate valuation, and meeting the current demand for land value information in cultivated land transactions.

It can be understood that the target cultivated land is a specific plot, and the geometric center point of the target cultivated land is generally selected to replace the target cultivated land. For example, the coordinates of the actual cultivated land can be obtained by surrounding the cultivated land with the handheld device, and then the geometric center point of the actual cultivated land is used as the set position point, and the concerned items at the center point are matched to the corresponding items. The attribute index is used as the attribute index of the target farmland.

As an embodiment of the present invention, the attribute index includes: a natural factor attribute index and a socioeconomic attribute index;

The natural factor attribute indicators include: terrain slope, soil pH value, effective soil layer thickness, soil organic matter content, and surface soil texture;

The socio-economic attribute indicators include: traffic accessibility, influence of central cities and towns, distance from farmland to rural settlements, and distance from farmland to farmers' markets.

Specifically, the factors affecting the price of cultivated land should include the factors of the cultivated land itself and regional factors. Based on this, in the above-mentioned embodiment of the present invention, the attribute indexes used for the evaluation of the target cultivated land price are divided into natural factor attribute indexes and social economic attribute indexes The two categories are listed, and the attribute indicators that are currently more important to the price of cultivated land are listed, namely: terrain slope, soil PH value, effective soil layer thickness, soil organic matter content, surface soil texture, which belong to socio-economic attribute indicators, and belong to socio-economic attributes. The indicators include traffic accessibility, influence of central towns, distance from farmland to rural settlements, and distance from farmland to farmers' markets.

It can be understood that these attribute indicators do not represent all the attribute indicators that affect the price of cultivated land, but are only 9 attribute indicators that are closely related to the land value selected by the present invention to measure the value information of the land. For other unlisted attribute indicators. , the cultivated land price evaluation method described in the embodiment of the present invention is also applicable.

More specifically, the basic data of the above-mentioned nine attribute indicators involved in the embodiment of the present invention are all data that can be directly obtained through different channels, and the specific data sources can be as shown in Table 1 below:

Table 1 Various attribute indicators and basic data sources

Further, after obtaining the basic data of each attribute index, the value of each attribute index stored in the attribute index database can be obtained through processing. Specifically, the terrain slope attribute is obtained by processing the basic data of the terrain slope through the Slope tool of ArcGIS. Index value; the basic data of soil PH value, effective soil layer thickness, soil organic matter content, and surface soil texture can be unified coordinate projection and data accuracy through the Define Projection tool to determine the corresponding index value; it can be calculated from the basic data of traffic accessibility The density and convenience of the transportation network are used to determine the accessibility of the transportation network. The specific calculation formula is as follows:

T=0.5D+0.5S (1)

Among them, T is the traffic accessibility index, and D and S are traffic network density and traffic convenience, respectively.

The traffic network density D is obtained by the kernel density calculation of the road vector data; the traffic convenience S is measured by the distance attraction model of the elements. The specific formula of the attraction model is as follows:

S=e ^-βd (2)

Among them, d is the Euclidean distance between the spatial element and any spatial position, and β is the normalization index, which is 0.0001.

For the influence degree of central towns, first determine the scale index of each diffusion source. For example, the government POI point can be used as the diffusion source of the influence of central towns, and the scale index of diffusion source can be determined according to the GDP and the number of permanent residents. The specific formula is as follows:

M _j = 100*A _j /A _max (3)

Among them, M _j is the scale index of diffusion source j; A _j is the GDP of diffusion source; A _max is the maximum value of GDP of all diffusion sources in the evaluation area.

Then, after obtaining the scale index of each diffusion source, it is divided into a set number of series by the natural discontinuity method, for example: 3 levels, calculate the mean value of the scale index of all diffusion sources in each level, as the scale index of this level, use M _i represents the scale index of the i-th level, then the influence radius of the diffusion source is determined as:

Among them, d is the influence radius; S is the grading area; Mi is the scale index of the _i -th grade; n is the series number.

The relative distance is then determined by:

r=d _i /d (5)

Among them, r is the relative distance; d _i is the Euclidean distance between the diffusion source and any spatial position.

Finally, the exponential decay method is used to calculate the diffuse source impact score:

For the distance between cultivated land and rural settlements, the POI data of settlements can be used as input data, and the Euclidean Distance tool can be used to calculate the Euclidean distance to obtain the distance between cultivated land and settlements.

For the distance between the farmland and the farmers' market, you can use the POI data of the farmers' market as input data, and use the EuclideanDistance tool to calculate the Euclidean distance to obtain the distance between the farmland and the farmers' market.

As an embodiment of the present invention, the method for classifying cultivated land based on attribute indexes corresponding to each block includes:

Based on the preset rules, standardize each attribute index corresponding to each block to obtain a standardized score of the attribute index corresponding to each block; the attribute index corresponding to each block is the corresponding item of interest attribute index;

Based on the entropy weight method, the weight value of each attribute index corresponding to each block is obtained;

Based on the standardized scores of the attribute indicators of the various blocks and the weight value, obtain the comprehensive scores of the attribute indicators of the various blocks;

Based on the comprehensive scores of the attribute indexes of the various blocks, the various blocks are graded.

Specifically, by setting preset rules and then standardizing the attribute indexes corresponding to each block, the attribute indexes of each block can be unified, so that the attribute indexes of each block stored in the attribute index database can be unified. It solves the problem that the price space connection is difficult due to the results of grading and grading based on regions.

More specifically, the preset rules can be shown in Table 2 below, divide the value of each attribute index according to the range, and then use the Reclassify tool of ArcGIS for reclassification, and obtain the standardized score of each index to obtain the standardization of the attribute index. Then use the weight value and standardized score of each attribute index obtained based on the entropy weight method to obtain the comprehensive score of the attribute index of each block. The formula is as follows. Finally, based on the comprehensive score of the attribute index of each block, the local The blocks are classified into grades. For example, the equidistant method is used, and the homogeneous area is divided into 5 grades. The higher the comprehensive score of land attributes, the better the land quality, the higher the corresponding homogeneous area, and the higher the homogeneous area. If the quality of the area is high, it means that the conditions of the cultivated land are similar, so that the conditions of the cultivated land in the whole region, such as the whole country and the whole province, can be unified. The rules for the delineation of homogeneous areas of cultivated land are shown in Table 3.

Comprehensive score of cultivated land value attribute = standardized score of terrain slope * 0.1 + standardized score of soil pH value * 0.05 + standardized score of effective soil layer thickness * 0.05 + standardized score of soil organic matter content * 0.1 + standardized score of surface soil texture * 0.1 + standardized traffic accessibility Score*0.1+Standardized score of influence degree of central towns*0.3+Standardized score of distance from settlements*0.1+Standardized score of distance from farmers’ market*0.1 (7)

Table 2 Standardized scoring rules and weights of cultivated land value attribute indicators

Table 3 Homogeneous area division of cultivated land

As an embodiment of the present invention, the reference land price database is a data set storing reference land prices of the homogeneous areas located in different geographic locations;

The method for constructing the data sets of the benchmark land prices of the homogeneous areas located in different geographical locations, including:

Generate the minimum circumscribed rectangle of all cultivated patches in the target area;

Based on the set area size, the minimum circumscribed rectangle is divided into several spatial grids;

Spatially intersect all the cultivated land in the target area with the spatial grid, and extract the spatial grid containing the cultivated land;

Based on the types of crops suitable for planting in each of the homogeneous regions, obtain crop yield estimates of multiple sample plots randomly selected in each of the homogeneous regions in each spatial grid containing arable land;

Based on the crop yield estimates of the plurality of sample plots, obtain the average crop yield in each of the homogeneous areas;

Based on the average value of crop yields in each of the homogeneous areas, the benchmark land prices of each of the homogeneous areas located in different geographic locations are obtained.

Specifically, after classifying the cultivated land in the whole region, although the cultivated land in different geographical locations is classified according to the cultivated land conditions, the cultivated land in different geographical locations is different due to the different geographical environment. The crops planted will also be different, so that even two arable land with the same arable land conditions will have different values due to the different crops planted. Obviously, the price of arable land can be estimated to produce higher The price of arable land with economic value should be higher than that of arable land with lower economic value. Therefore, after uniform grading and division of arable land according to arable land conditions, it is also necessary to determine the economic value of each homogeneous area in different geographical locations, that is, each homogeneous area. The benchmark land price in a homogeneous area.

More specifically, as mentioned above, although the two arable land belong to the same homogeneous area and have the same type of crops, there may be differences in the way of planting and production due to geographical reasons. After the production of cultivated land in the same homogeneous area is estimated based on the types of crops suitable for planting in each said homogeneous area, the calculated benchmark land price is obviously not accurate and representative.

Based on this, in the above-mentioned embodiment of the present invention, the minimum circumscribed rectangle of all cultivated patches in the target area (for example, the administrative area where the target cultivated land is located) is generated, and then based on the set area size, the minimum circumscribed rectangle is It is divided into several spatial grids. In order to improve the accuracy of the calculation of the benchmark land price, it is preferable to divide the minimum circumscribed matrix into several spatial grids of the same size, and finally, all cultivated land in the target area and the spatial grid are used as spaces. intersect, extract a spatial grid containing cultivated land, and then estimate the crop yield of multiple sample plots randomly selected in each of the homogeneous regions in each spatial grid containing cultivated land, so that the selected sample The plots belong to the same spatial grid, and the production and planting conditions of the sample plots are more similar, so as to ensure that the calculation results of the benchmark land prices for homogeneous areas in different geographical locations are more accurate.

Further, taking Guyuan County, Zhangjiakou City, Hebei Province as an example, the method of obtaining a spatial grid containing cultivated land is described in detail. First, as shown in Figure 2, the cultivated land 1 in Guyuan County is used as the input element, and the minimum circumscribed rectangle 2 is generated. , for example, the minimum bounding rectangle can be generated by using the Minimum Bounding Geometry command, the bounding rectangle 2 is the reference of the spatial range that defines the spatial grid; then the point coordinates of the four corners of the minimum bounding rectangle can be obtained, and any corner point can be selected As the coordinate origin, for example, take the corner point 1 as the coordinate origin, the side 12 as the Y axis, and the side 14 as the X axis, as shown in 3, an initial spatial grid 3 with a size of 10km is delineated, and finally the cultivated land in Guyuan County Perform spatial intersection analysis with the initial spatial grid obtained in Figure 3, and then extract the spatial grid 4 containing cultivated land as shown in Figure 4.

It can be seen that the minimum circumscribed rectangle is the rectangle with the smallest area that contains all the input elements (arable land) in the target area. Using the minimum circumscribed rectangle as the reference for the delineation of the spatial grid can ensure that each grid contains as much cultivated land as possible. The requirements for the delineation of homogeneous areas are concentrated and contiguous, thereby improving the accuracy of price evaluation.

As an embodiment of the present invention, based on the types of crops suitable for planting in each of the homogeneous regions, a plurality of sample plots randomly selected in each of the homogeneous regions in each spatial grid including cultivated land are obtained Crop yield estimates for blocks, including:

Determine the types of crops suitable for planting in each of the homogeneous areas based on the set standard farming system divisions;

Based on the crop types suitable for planting in each of the homogeneous areas and the set yield estimation formula, the crop yield estimate of each of the sample plots is obtained;

The yield estimation formula is:

Among them, Yi is the yield estimate of crop _i in the plot; NPP is the net primary productivity of the plant; HI _i is the harvest index of crop i; fAG _i is the ratio of the above-ground biomass of crop i to the biomass of the whole plant; MC _i is the water content of crop i; 10 is the conversion coefficient between units g·m ^-2 and kg·hm ^-2 ; gC is the coefficient unit for converting crop carbon content to crop biomass, that is, the unit of coefficient 0.45.

Specifically, based on the set standard farming system divisions, for example, referring to the national standard farming system divisions, determine the types of crops suitable for planting in each of the homogeneous areas, and then collect vegetation net primary productivity (NPP) data and crop growth parameters in the target area The crop yield estimate of each of the sample plots can be obtained by using the data set, that is, using the remote sensing data NPP and the standard tillage system to estimate the yield of the most suitable crops for each homogeneous area through parameter operation.

More specifically, still taking Guyuan County as an example, the most suitable crop types in Guyuan County were determined as potato and spring wheat, and the corresponding growth parameters were determined in Table 4.

Table 1 Crop growth parameters of standard farming system in Guyuan County

Three sample plots were randomly found in each homogeneous area, and the average yield of the three sample plots was calculated based on NPP and crop growth parameters as the crop yield in the homogeneous area. Using the ArcGIS Create Random Points tool, three random points were generated in each homogeneous area of different levels in each 10km grid as the center point of the sample plot. Taking the center point as a representative, and calculating the crop yield under the standard farming system of each sample plot by formula 8, the obtained crop yield estimates of some sample plots in each homogeneous area of Guyuan County are shown in Table 5 below:

Table 5 Crop yield estimates of some sample plots in each homogeneous area in Guyuan County

As an embodiment of the present invention, based on the average value of crop yields in each of the homogeneous areas, the benchmark land prices of each of the homogeneous areas located in different geographical locations are obtained, including:

Based on the set area range, the average price of crops in each of the sample plots is obtained;

Based on the average crop yield in each of the homogeneous areas, the corresponding average price of crops in each of the sample plots, and the set benchmark land price estimation formula, the average value of each homogeneous area located in different geographical locations is obtained. benchmark land price;

The formula for estimating the benchmark land price is:

Among them, P ₀ is the benchmark land price; α is the annual net income of the land, which is equal to the product of the average crop yield in each of the homogeneous areas and the average crop price of the corresponding sample plots; r is the land restoration rate ; m is the maximum land use period.

Specifically, the economic value of cultivated land is not only determined by the total income calculated from crop prices and yields, but also needs to be subtracted from the loss of cultivated land itself, as well as usage costs. For example, take the current regulations in my country as an example:

The total annual cost of arable land can be calculated and determined using the “National Agricultural Product Cost and Benefit Data”, while agricultural production-related taxes and fees are determined in accordance with laws and regulations, which are currently 0 in my country; The annual interest rate of the bank’s one-year time deposit in the same period announced by the competent authority; at present, there are two main risks in agricultural investment, one is the risk of natural disasters, mainly frost, low temperature disasters, cold waves, pests and diseases, etc., and the other is the market risk , which can be replaced by the rate of change of the price index of agricultural means of production in recent years.

Finally, according to the income reduction method shown in Equation 9 and the value of the above parameters, after determining the price of the plots at each sampling point, the average price of the plots at the sampling points is used as the benchmark land price in the corresponding homogeneous area.

Still taking Guyuan County as an example, according to the above formula 9, the benchmark land price of each homogeneous area in each 10km spatial grid is calculated, some of which are shown in Table 6 below:

Table 6 Calculation summary of benchmark land prices in some homogeneous areas in Guyuan County

As an embodiment of the present invention, the correction parameters of the target cultivated land include: a positive upward correction parameter, a negative downward correction parameter, and zero;

The method for constructing the up-regulation correction parameters and the down-regulation correction parameters includes:

Based on the estimated crop yield of each sample plot in each spatial grid containing arable land, the land price of each of the sample plots is obtained;

Based on the benchmark land prices in each of the homogeneous areas, the highest and lowest land prices in the sample plots are taken as the upper and lower limits of the land price, respectively, to obtain the upward adjustment range and the downward adjustment range of the correction parameter. limit value;

Based on the upward adjustment range and the downward adjustment range limit of the correction parameter, and the weight value of each attribute index corresponding to the item of interest, the upward correction coefficient and the downward correction coefficient of each attribute index are obtained respectively.

Specifically, the benchmark land price is the benchmark land price of each level of homogeneous area in each spatial grid containing cultivated land. However, the benchmark land price can only be used as a reference for the average land price level of the same level of homogeneous areas in the spatial grid, while For the cultivated land belonging to the same level of homogeneous area in the same spatial grid, because of the difference in attribute index values, the price is also different, which fluctuates up and down the benchmark land price. Based on this, in order to ensure the accuracy of the estimated price of target farmland, it is necessary to determine the use of correction parameters to correct the benchmark land price.

More specifically, taking each homogeneous area in the spatial grid containing cultivated land as a unit, and taking the unit land price corresponding to the highest and lowest land prices in the sample plots in each homogeneous area as the upper and lower limits, Subtract it from the benchmark land price of the corresponding homogeneous area to obtain the highest value of upward or downward adjustment. Calculated as follows:

F ₁ =[(ln h-Iib)/Iib]×100% (10)

F ₂ =[(Iib-ln l)/Iib]×100% (11)

Among them, F ₁ is the limit of the range of upward adjustment; F ₂ is the limit of the range of downward adjustment; lib is the benchmark land price; Inh is the highest value of the land price of the sample plot; Inl is the lowest value of the land price of the sample plot.

Taking the above-mentioned homogeneous area in Guyuan County with the code G2051-9 as an example, according to the above steps, the limits of the upward adjustment range and the downward adjustment range of the correction parameters are calculated, as shown in Table 7 below:

Table 7 Limits for the adjustment range of benchmark land prices

Further, based on the upward adjustment range and the downward adjustment range limit value of the correction parameter, and the weight value of each attribute index corresponding to the item of interest, the upward adjustment correction coefficient and the downward correction coefficient of each attribute index are obtained respectively, and the details are as follows: The formula shows:

F _1i =F ₁ ×W _i (12)

F _2i =-F ₂ ×W _i (13)

Among them, F _1i is the upward correction coefficient of the attribute index i; F _2i is the downward correction coefficient of the attribute index _i ; Wi is the weight of the attribute index i.

Then, the upward correction coefficient and downward correction coefficient of each attribute index of the homogeneous area coded as G2051-9 in Guyuan County can be obtained by formulas 12 and 13, as shown in Table 8 below:

Table 8 The upward correction coefficient and the downward correction coefficient of each attribute index in the homogeneous area

As an embodiment of the present invention, determining the correction parameter of the target cultivated land based on the attribute index of the target cultivated land and the benchmark attribute index of the cultivated land homogeneous area to which the target cultivated land belongs includes:

When the attribute index of the target cultivated land is lower than the benchmark attribute index of the homogenous cultivated land area to which the target cultivated land belongs, determining the correction parameter of the attribute index of the corresponding item of the target cultivated land as the downward correction coefficient;

When the attribute index of the target cultivated land is higher than the benchmark attribute index of the homogenous cultivated land area to which the target cultivated land belongs, determining the correction parameter of the attribute index of the corresponding item of the target cultivated land as the upward correction coefficient;

When the attribute index of the target cultivated land is equal to the reference attribute index of the homogenous cultivated land area to which the target cultivated land belongs, it is determined that the correction parameter of the attribute index of the corresponding item of the target cultivated land is zero.

Specifically, by correcting the benchmark price according to the specific attribute index of the target farmland, the accuracy of the estimated price of the target farmland can be improved.

More specifically, if the standardized score of an attribute index of the target farmland is lower than the average value of the standardized score of the attribute index in the homogeneous area, it is corrected by the downward correction coefficient; if it is higher than the average value of the standardized score of the index in the homogeneous area, then Use the upward correction coefficient to correct; if they are equal, no correction is performed, that is, the correction parameter is zero.

As an embodiment of the present invention, obtaining the assessed price of the target farmland based on the benchmark land price and the correction parameter includes:

Based on the benchmark land price and the correction parameter, and according to the set target land price estimation formula, obtain the assessed price of the target farmland;

The target land price estimation formula includes:

为所述关注项对应的各项属性指标的修正调整幅度和；K_j为土地使用年期修正系数；n为目标耕地的拟流转年限。Among them, P is the assessed price of the target farmland;

is the correction adjustment range sum of each attribute index corresponding to the concerned item; K _j is the correction coefficient of the land use period; n is the intended circulation period of the target farmland.

Specifically, taking the proposed transfer period of the target farmland as 15 years, the maximum land use period of 30 years, and the land restoration rate as 4.27%, it is assumed that the center point of the target farmland falls within the homogeneous area of G2051-9, and If the concerned items include all the attribute indicators in Table 9, then firstly extract the standardized score values of each cultivated land value attribute index corresponding to the point. The extraction of standardized scores is realized by the Extract Values to Points tool of ArcGIS; Calculate the mean value of the standardized scores of each attribute index corresponding to the homogeneous area of G2051_9, wherein the calculation of the mean value of the standardized score of each attribute index is realized by the Zonal Statistics As Table tool of ArcGIS, as shown in Table 9 below.

Table 9 Homogeneous area and attribute index of target cultivated land

As shown in Table 9, the standardized scores of each attribute index of the target cultivated land are all larger than the average value of the standardized score of the attribute index of the homogeneous area. Therefore, the correction parameters of each attribute index adopt the upward correction coefficient, so the following formula 16 can be used to obtain the target cultivated land. Estimated price:

The cultivated land price evaluation method described in the embodiment of the present invention makes the evaluation standards of cultivated land prices in different regions unified by pre-storing cultivated land attribute indicators and benchmark land prices, thereby realizing rapid, objective, accurate and large-scale evaluation of cultivated land. Valuation, first of all, can provide a value reference for farmers to use or trade their own land, thereby alleviating the problem of information asymmetry in the transaction and avoiding post-transaction conflicts. Secondly, it can provide land value information for agricultural land property rights exchanges, improve the success rate of land supply and demand matching, and help rural property rights exchanges to establish an advanced management model of transaction standardization, business standardization, data unification, and information symmetry. Thirdly, it can also provide an information basis for the government to carry out natural resource asset accounting and unified management, so that relevant government management departments can systematically understand the information, utilization status, transaction information and value information of regional land resources, and provide natural resource asset accounting and unified management. Provide a basis for information. Finally, it can provide information support for the bank to carry out the agricultural land mortgage loan business, that is, to provide the bank with the information on the utilization attributes of the agricultural land to be mortgaged and the mortgage reference price information, which can be used as the basis for the judgment of the lender's credit limit and loan limit.

The following describes a cultivated land price evaluation system provided by the present invention with reference to FIG. 5 . The cultivated land price evaluation system described below and the cultivated land price evaluation method described above can be referred to each other correspondingly.

As shown in FIG. 5, the device includes a data acquisition module 510, a homogeneous area determination module 520, a benchmark land price determination module 530, a correction parameter determination module 540, and a land price evaluation module 550; wherein,

The data acquisition module 510 is used to acquire the geographic location information of the target cultivated land and the attention items of the attribute index;

The homogeneous area determination module 520 is configured to retrieve the attribute index of the target cultivated land from the set attribute index database according to the item of interest based on the position point set on the target cultivated land, and determine the target cultivated land. The homogeneous cultivated land area to which it belongs; the attribute index database is to store the attribute indexes of each block located in different geographical locations, the homogeneous cultivated land area to which each block belongs, and the benchmark attribute index of each of the homogeneous cultivated land areas The homogeneous area of cultivated land is obtained by classifying the cultivated land according to the attribute index corresponding to each block; the reference attribute index is the average value of the attribute index in the homogeneous area of cultivated land;

The benchmark land price determination module 530 is configured to search in the set benchmark land price database based on the homogeneous area of cultivated land to which the target cultivated land belongs, to obtain the benchmark land price of the target cultivated land;

The correction parameter determination module 540 is configured to determine the correction parameter of the target cultivated land based on the attribute index of the target cultivated land and the benchmark attribute index of the cultivated land homogeneous area to which the target cultivated land belongs;

The land price evaluation module 550 is configured to obtain the evaluation price of the target farmland based on the reference land price and the correction parameter.

The cultivated land price evaluation system of the present invention pre-stores the attribute indexes of the cultivated land according to the different geographical positions of the cultivated land, so that when the user needs to evaluate the cultivated land price, it can obtain the cultivated land based on the attribute index of the cultivated land concerned by the user. Assessing the price, it avoids the subjectivity of using the cultivated land attribute index determined manually based on experience in price evaluation, and the defects of multi-regional evaluation price standards are not uniform; by using the attribute index of the target cultivated land and the cultivated land homogeneous area to which the target cultivated land belongs The correction parameters determined by the benchmark attribute index of the pre-stored target cultivated land are corrected, and the pre-stored benchmark price of the cultivated land homogeneous area to which the target cultivated land belongs is corrected. and standardization.

The cultivated land price evaluation system provided by the embodiments of the present invention is used to sign a cultivated land price evaluation method of each embodiment. The specific method and process of each module included in the cultivated land price evaluation system to realize the corresponding functions can be found in the above-mentioned embodiment of the cultivated land price evaluation method, which will not be repeated here.

The cultivated land price evaluation system of the present invention is used in the cultivated land price evaluation methods of the foregoing embodiments. Therefore, the descriptions and definitions in the method for evaluating the price of cultivated land in the foregoing embodiments can be used for the understanding of each execution module in the embodiments of the present invention.

FIG. 6 illustrates a schematic diagram of the physical structure of an electronic device. As shown in FIG. 6 , the electronic device may include: a processor (processor) 610, a communication interface (Communications Interface) 620, a memory (memory) 630 and a communication bus 640, The processor 610 , the communication interface 620 , and the memory 630 communicate with each other through the communication bus 640 . The processor 610 can invoke the logic instructions in the memory 630 to execute a method for evaluating the price of cultivated land, the method comprising: acquiring the geographic location information of the target cultivated land and the items of interest of the attribute index; setting a position point based on the target cultivated land , the set attribute index database retrieves the attribute index of the target cultivated land according to the concerned item, and determines the cultivated land homogeneous area to which the target cultivated land belongs; The attribute index of the plot, the homogeneous area of cultivated land to which each plot belongs, and the dataset of the benchmark attribute index of each homogeneous area of cultivated land; the homogeneous area of cultivated land is obtained by basing the cultivated land on the attribute index corresponding to each plot The benchmark attribute index is the average value of the attribute index in the homogeneous cultivated land area; based on the homogenous cultivated land area to which the target cultivated land belongs, search is performed in the set benchmark land price database to obtain the The benchmark land price of the target cultivated land; based on the attribute index of the target cultivated land and the benchmark attribute index of the cultivated land homogeneous area to which the target cultivated land belongs, the correction parameter of the target cultivated land is determined; based on the benchmark land price and the correction parameters to obtain the assessed price of the target farmland.

In addition, the above-mentioned logic instructions in the memory 630 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

In another aspect, the present invention also provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer When executing, the computer can execute a cultivated land price evaluation method provided by the above methods, the method includes: obtaining the geographic location information of the target cultivated land and the attention items of the attribute index; The set attribute index database retrieves the attribute index of the target cultivated land according to the item of interest, and determines the cultivated land homogeneous area to which the target cultivated land belongs; the attribute index database saves each block located in different geographical locations attribute index, the homogeneous area of cultivated land to which each block belongs, and a dataset of benchmark attribute indexes of each homogeneous area of cultivated land; the homogeneous area of cultivated land is graded by grading the cultivated land based on the attribute index corresponding to each block The benchmark attribute index is the average value of the attribute index in the homogeneous area of cultivated land; based on the homogeneous area of cultivated land to which the target cultivated land belongs, search in the set benchmark land price database to obtain the target The benchmark land price of the cultivated land; based on the attribute index of the target cultivated land and the benchmark attribute index of the homogenous cultivated land area to which the target cultivated land belongs, the correction parameter of the target cultivated land is determined; based on the benchmark land price and the correction parameter, Obtain the estimated price of the target farmland.

In another aspect, the present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements a method for estimating a cultivated land price provided by the above methods, the method The method includes: obtaining the geographic location information of the target cultivated land and the attention items of the attribute index; based on the position points set on the target cultivated land, the attribute index database of the set attribute index retrieves the attribute index of the target cultivated land according to the attention items, And determine the homogeneous area of cultivated land to which the target cultivated land belongs; the attribute index database is to save the attribute indexes of each block located in different geographical locations, the homogeneous area of cultivated land to which each block belongs, and the homogeneous area of each cultivated land. The data set of the benchmark attribute index of the homogeneous area of the cultivated land is obtained by classifying the cultivated land based on the attribute index corresponding to each block; the benchmark attribute index is the homogeneous area of the cultivated land. average value; based on the homogeneous area of cultivated land to which the target cultivated land belongs, search in the set benchmark land price database to obtain the benchmark land price of the target cultivated land; based on the attribute index of the target cultivated land, and the The reference attribute index of the homogeneous area of arable land is used to determine the correction parameter of the target arable land; based on the reference land price and the correction parameter, the assessed price of the target arable land is obtained.

The device embodiments described above are only illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed over multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

From the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on this understanding, the above-mentioned technical solutions can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic A disc, an optical disc, etc., includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in various embodiments or some parts of the embodiments.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it can still be The technical solutions described in the foregoing embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (13)

1. An arable land price evaluation method, comprising:

acquiring geographical position information and an attention item of an attribute index of a target farmland;

based on the position point set on the target farmland, calling the attribute index of the target farmland according to the attention item by a set attribute index database, and determining a farmland homogeneous region to which the target farmland belongs; the attribute index database is a data set which stores attribute indexes of all plots located at different geographic positions, the homogeneous farmland area to which each plot belongs and reference attribute indexes of each homogeneous farmland area; the cultivated land homogenizing area is obtained by grading cultivated land based on attribute indexes corresponding to each land block; the reference attribute index is the average value of the attribute indexes in the homogeneous region of the cultivated land;

searching in a set reference land price database based on a cultivated land homogenizing area to which the target cultivated land belongs to obtain a reference land price of the target cultivated land;

determining a correction parameter of the target farmland based on the attribute index of the target farmland and the reference attribute index of the homogeneous farmland region to which the target farmland belongs;

and obtaining the evaluation price of the target farmland based on the reference land price and the correction parameters.

2. The arable land price evaluation method of claim 1 wherein the attribute index comprises: a natural factor attribute index and a socioeconomic attribute index;

the natural factor attribute index includes: the method comprises the following steps of (1) topographic gradient, soil pH value, effective soil layer thickness, soil organic matter content and surface soil texture;

the socioeconomic attribute indicator includes: traffic accessibility, central town influence degree, farmland distance from rural residential points and farmland distance from farmer markets.

3. The arable land price evaluation method of claim 2, wherein the method for grading arable land based on attribute indexes corresponding to each land block comprises:

based on a preset rule, carrying out standardization processing on each attribute index corresponding to each land parcel to obtain an attribute index standardization score corresponding to each land parcel; the attribute indexes corresponding to the plots are the attribute indexes corresponding to the attention items;

obtaining the weight values of each attribute index corresponding to each region block based on an entropy weight method;

obtaining an attribute index comprehensive score of each plot based on the attribute index standardized score and the weight value of each plot;

and grading each land parcel based on the attribute index comprehensive score of each land parcel.

4. The arable land price evaluation method of claim 3, wherein said reference land price database is a data set holding reference land prices for each of said homogeneous regions located at different geographic locations;

the construction method of the data set of the reference land prices of the homogeneous areas at different geographic positions comprises the following steps:

generating a minimum circumscribed rectangle of all cultivated land pattern spots in the target area;

dividing the minimum external rectangle into a plurality of space grids based on the set area size;

performing space intersection on all arable land in the target area and the space grid, and extracting the space grid containing the arable land;

obtaining crop yield estimates for a plurality of sample plot areas randomly selected within each of the homogeneous regions within each spatial grid containing arable land based on the type of crop suitable for planting in each of the homogeneous regions;

obtaining a mean crop yield value in each homogeneous region based on the estimated crop yield values of the plurality of sample point plots;

and obtaining the reference land price of each homogeneous area at different geographic positions based on the crop yield average value in each homogeneous area.

5. The arable land price evaluation method of claim 4 wherein said deriving an estimate of crop yield for a plurality of sample plots randomly selected within each of said homogeneous regions within each of the spatial grids comprising the arable land based on the type of crop each of said homogeneous regions is suitable for planting comprises:

determining the type of crops suitable for planting in each homogeneous area based on the set standard cultivation system subarea;

obtaining a crop yield estimation value of each sampling point plot based on the type of crops suitable for planting in each homogeneous area and a set yield estimation formula;

the yield estimation formula is as follows:

wherein, Y_iEstimating the yield of the sampling point plot crop i; NPP is the net primary productivity of the plant; HI (high-intensity)_iIs the harvest index of crop i; fAG_iThe proportion of the biomass of the overground part of the crop i in the biomass of the whole plant is shown; MC (monomer casting)_iThe moisture content of crop i.

6. The arable land price evaluation method of claim 5, wherein the obtaining a benchmark land price for each homogeneous region located at a different geographic location based on the average crop yield within each homogeneous region comprises:

obtaining the average price of the crops of each sampling point plot based on the set region range;

obtaining the reference land price of each homogeneous area at different geographic positions based on the crop yield average value in each homogeneous area, the corresponding average price of the crops of each sampling point plot and a set reference land price estimation formula;

the reference land price estimation formula is as follows:

wherein, P₀As a reference land price; alpha is the annual net income of land, and is equal to the product of the average crop yield in each homogeneous area and the average price of the crop of each corresponding sample plot; r is the land reduction rate; and m is the maximum service life of the land.

7. The arable land price evaluation method of claim 4 wherein the modified parameters of the target arable land comprise: an up-regulation correction parameter being a positive number, a down-regulation correction parameter being a negative number and zero;

the method for constructing the up-regulation correction parameter and the down-regulation correction parameter comprises the following steps:

obtaining a land price for each spot plot based on crop yield estimates for each spot plot within each spatial grid containing arable land;

respectively taking the highest ground price and the lowest ground price in the sampling point land blocks as upper limit values and lower limit values of the ground prices on the basis of the reference ground prices of all the homogeneous areas, and respectively obtaining upper regulation amplitude limit values and lower regulation amplitude limit values of the correction parameters;

and respectively obtaining an up-regulation correction coefficient and a down-regulation correction coefficient of each attribute index based on the up-regulation amplitude limit value and the down-regulation amplitude limit value of the correction parameter and the weight value of each attribute index corresponding to the concerned item.

8. The arable land price evaluation method of claim 7, wherein determining the revised parameter of the target arable land based on the attribute index of the target arable land and the reference attribute index of the homogeneous region of the arable land to which the target arable land belongs comprises:

when the attribute index of the target farmland is lower than the reference attribute index of the homogeneous farmland area to which the target farmland belongs, determining the correction parameter of the attribute index of the corresponding item of the target farmland as the down-regulation correction coefficient;

when the attribute index of the target farmland is higher than the reference attribute index of the homogeneous farmland area to which the target farmland belongs, determining the correction parameter of the attribute index of the corresponding item of the target farmland as the up-regulation correction coefficient;

and when the attribute index of the target farmland is equal to the reference attribute index of the homogeneous farmland area to which the target farmland belongs, determining that the correction parameter of the attribute index of the corresponding item of the target farmland is zero.

9. The arable land price evaluation method of claim 8 wherein said deriving an evaluated price for the target arable land based on the reference land price and a correction parameter comprises:

obtaining the evaluation price of the target farmland according to a set target land price estimation formula based on the reference land price and the correction parameter;

the target land price estimation formula comprises:

wherein, P is the evaluation price of the target cultivated land;

adjusting the sum of the amplitude for the correction of each attribute index corresponding to the attention item; k_jCorrecting the coefficient for the annual period of land use; and n is the planned circulation time limit of the target cultivated land.

10. An cropland price evaluation system, comprising:

the data acquisition module is used for acquiring the geographical position information and the attention items of the attribute indexes of the target cultivated land;

the homogeneous region determining module is used for calling the attribute index of the target farmland according to the attention item by a set attribute index database based on the position point set in the target farmland and determining the farmland homogeneous region to which the target farmland belongs; the attribute index database is a data set which stores attribute indexes of all plots located at different geographic positions, the homogeneous farmland area to which each plot belongs and reference attribute indexes of each homogeneous farmland area; the cultivated land homogenizing area is obtained by grading cultivated land based on attribute indexes corresponding to each land block; the reference attribute index is the average value of the attribute indexes in the homogeneous region of the cultivated land;

the reference land price determining module is used for searching in a set reference land price database based on a cultivated land homogeneous region to which the target cultivated land belongs to obtain a reference land price of the target cultivated land;

the correction parameter determining module is used for determining a correction parameter of the target farmland based on the attribute index of the target farmland and the reference attribute index of the homogeneous farmland region to which the target farmland belongs;

and the land price evaluation module is used for obtaining the evaluation price of the target farmland based on the reference land price and the correction parameters.

11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the program, carries out the steps of the arable land price evaluation method according to any one of claims 1 to 9.

12. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the arable land price evaluation method according to any one of claims 1 to 9.

13. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the steps of the arable land price evaluation method according to any one of claims 1 to 9.

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