CN114066327A - Regional farmland quality evaluation method and system - Google Patents

Regional farmland quality evaluation method and system Download PDF

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Publication number
CN114066327A
CN114066327A CN202111563404.8A CN202111563404A CN114066327A CN 114066327 A CN114066327 A CN 114066327A CN 202111563404 A CN202111563404 A CN 202111563404A CN 114066327 A CN114066327 A CN 114066327A
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area
score
cultivated land
planting
farmland
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刘晓彤
唐一琳
王希卓
陈飞
闵淑琴
韩双江
张鹏
陈震
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Beijing Zhongyuruide Architectural Design Co ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention discloses a regional cultivated land quality evaluation method and a system, which belong to the field of agricultural engineering and comprise the following steps: step S1: acquiring a farmland distribution map of a certain area and numbering; step S2: obtaining the cultivated land area; step S3: calculating the soil fertility evaluation grade of the cultivated land in the area; step S4: calculating the dispersion of the farmland distribution in the region; step S5: calculating the planting profitability index of the area; step S6: calculating score matrixes of different dimensions; step S7: and calculating the total farmland quality evaluation index. Visual comparison of the cultivated land quality of different areas according to a unified standard can be facilitated; the farmland quality acquisition data is normalized and standardized through a normalized calculation flow and a definite processing method, rapid programming processing of farmland evaluation data by scientific research personnel is facilitated, and the obtained result can be repeated and verified.

Description

Regional farmland quality evaluation method and system
Technical Field
The invention relates to the technical field of agricultural engineering, in particular to a regional farmland quality evaluation method and system.
Background
The cultivated land is a precious and limited resource in China and is an important guarantee for the stable development of the country and the survival of people. In agricultural engineering, the assessment of the farmland quality in a region is an important aspect reflecting the development level and quality of agriculture in the region. The evaluation of the quality of the cultivated land is an important task, the quality level of the cultivated land is related to the aspects of grain safety, crop yield, agricultural development level, ecological safety and the like, and the evaluation is a basis for guaranteeing the sustainable development of a region and even society and providing material life guarantee for people. The assessment of the farmland quality is an important work content in the agricultural production process, and has important significance for guiding agricultural departments to master the current farmland situation, improving the farmland quality, guiding agricultural production, ensuring national food self-sufficiency, ensuring the food safety and quality and maintaining the healthy development of agriculture.
The farmland quality evaluation is abstract and multidimensional, and the current farmland evaluation method has no uniform standard. The traditional farmland quality evaluation method generally focuses on investigating factors influencing crop development such as soil quality, nutrients and the like, has less consideration to factors influencing traffic of agricultural production, farmland distribution state and the like, and can not embody objective factors influencing farmland quality more completely. In addition, because the evaluation is multidimensional, and a multidimensional comprehensive evaluation result is not given by a unified standard, the unified standard visual comparison of the farmland quality in different areas is difficult to carry out.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a regional farmland quality evaluation method and a regional farmland quality evaluation system.
In order to achieve the purpose, the invention adopts the following technical scheme:
a regional farmland quality evaluation method comprises the following steps:
step S1: acquiring a farmland distribution map of a certain area and numbering;
step S2: obtaining the cultivated land area;
step S3: calculating the soil fertility evaluation grade of the cultivated land in the area;
step S4: calculating the dispersion of the farmland distribution in the region;
step S5: calculating the planting profitability index of the area;
step S6: calculating score matrixes of different dimensions;
step S7: and calculating the total farmland quality evaluation index.
Further, the regional cultivated land quality evaluation method specifically comprises the following steps:
s10, acquiring a cultivated land distribution map of a certain area, namely performing contour extraction through a satellite remote sensing image or directly acquiring the cultivated land distribution map from a local mapping department, numbering cultivated lands in the area according to natural blocks of the cultivated land, and recording the total number of the blocks as N;
step S20, obtaining the cultivated land area S of each cultivated land in the area by means of on-site measurement or computer-aided calculation combined with cultivated land distribution diagrami(i 1, …, N), total area of cultivated land in area
Figure BDA0003421172450000021
And average area of single cultivated land
Figure BDA0003421172450000022
Step S30, soil fertility of all cultivated lands in the area is obtained, and soil fertility evaluation grade sigma of each cultivated land is giveni(i is 1, …, N), calculating the total farmland soil fertility evaluation grade value sigma in the area;
step S40, calculating the dispersion of farmland distribution in the region according to a second method;
step S50, qualitatively evaluating the planting profitability index rho of each cultivated land by means of on-site research or data investigationi；
Step S60, obtaining corresponding scores of evaluation indexes under different dimensionalities according to score calculation rules of different indexes, and providing a score matrix of a soil fertility score delta 1, an average area score delta 2, a distribution dispersion score delta 3 and a planting profitability score delta 4;
step S70 is to set four-dimensional evaluation coefficients k such as a soil fertility score Δ 1, an average area score Δ 2, a distribution dispersion score Δ 3, and a planting profit score Δ 41～k4And obtaining a total farmland quality evaluation index by weighting calculation by using the following formula:
Figure BDA0003421172450000031
kisatisfies Σ ki＝1
Evaluation factor k1～k4Can be adjusted according to different focus points, for example, the distribution dispersion of the focus points on the farmland can be adjusted by changing k3The coefficient proportion is increased.
Further, the soil fertility of all arable land in the area used in step S30 is analyzed by on-site sampling of the arable land or is queried for investigation by the local agricultural department;
the soil fertility evaluation grade refers to the soil fertility grading standard recommended by the second national soil census in China, wherein:
the total soil fertility evaluation grade value sigma is determined by the soil fertility sigma of each cultivated landiObtained by weighted averaging of the respective areas as follows:
Figure BDA0003421172450000032
further, for use in step S40, the second method includes the steps of:
step S41, aiming at the arable land distribution diagram obtained in step S10, calculating the position { (x) of the central point of each arable land in the diagram by using computer-aided technologyi,yi) I is 1, …, N, and the centers are calculated according to the following formula:
Figure BDA0003421172450000041
wherein the content of the first and second substances,
Figure BDA0003421172450000042
is the edge point horizontal and vertical coordinate set of the ith farmland, and n is the edge point number of the farmland;
step S42, calculating the coordinates (X, Y) of the total central point of all cultivated lands in the area, and calculating according to the following formula:
Figure BDA0003421172450000043
step S43, calculating the distribution dispersion degree delta of the cultivated land in the area by using the following formula:
Figure BDA0003421172450000044
further, in step S50, the profitability index is the profitability of irrigation of the cultivated land
Figure BDA0003421172450000045
Degree of convenience of mechanization thetaiPlaneness gamma of cultivated landiThe comprehensive results of the indexes are obtained;
and then calculating the total planting profitability index rho in the area.
Further, the profitability of farmland irrigation
Figure BDA0003421172450000046
Degree of convenience of mechanization thetaiPlaneness gamma of cultivated landiThe evaluation criteria of the index are as follows:
benefit of irrigation
Figure BDA0003421172450000047
Excellent-full-automatic irrigation can better meet the planting requirement, and the score is 2; liang-manual irrigationThe irrigation or semi-automatic irrigation can meet the planting requirement to a certain extent, and the score is 1; poor-difficult irrigation, generally unable to meet planting requirements, scoring 0;
degree of traffic convenience θi: the method has the advantages that the method can better meet the operation requirements of agricultural machinery, and the score is 2; satisfying the operation requirement of agricultural machinery to a certain extent, and scoring 1; poor-unable or almost unable to meet the agricultural machinery operation requirements, score 0;
planeness of cultivated land gammai: the cultivated land is smooth, the planting is facilitated, and the score is 2; good-land fluctuation has certain influence on planting, and the score is 1; poor-cultivated land has large fluctuation, is not beneficial to planting and has a score of 0;
wherein, the planting profitability index rhoiIrrigation profitability through the cultivated land
Figure BDA0003421172450000051
Degree of convenience of mechanization thetaiPlaneness gamma of cultivated landiAnd adding the index scores.
Further, the total planting profitability index rho in the area is determined by the planting profitability index rho of each cultivated landiThe method is obtained according to the weighted average of the cultivated land areas, and the calculation formula is as follows:
Figure BDA0003421172450000052
further, the score calculation rules for the different indexes in step S60 are as follows:
the soil fertility score delta 1 calculation rule is as follows: the soil fertility grade is 100-90 on a 1-2 basis, 90-80 on a 2-3 basis, 80-70 on a 3-4 basis, 70-60 on a 4-5 basis, and 60-40 on a 5-6 basis;
average area score Δ 2 calculation rule: the average area is more than 10 mu and is 100, the average area is 90-10 to 9-1 mu, and the average area is less than 10 to less than 1 mu;
distribution dispersion score Δ 3 calculation rule: the distribution dispersion is 100-90 within the range of less than 100, 90-80 within the range of 100-300, 80-60 within the range of 300-1000, and 40-60 above 1000, and the smaller the dispersion value is, the higher the score is.
Further, a planting profitability score Δ 4 calculation rule: planting profitability of 6-5 corresponds to a score of 100-90, 5-4 corresponds to a score of 90-80, 4-3 corresponds to a score of 80-70, 3-2 corresponds to a score of 70-60, 2-1 corresponds to a score of 60-50, and 1-0 corresponds to a score of 50-40.
The cultivated land quality evaluation index of the present invention is another object of the present invention: the invention provides a system for a regional farmland quality evaluation method, and therefore, on the basis of the technical scheme, the following technical scheme is simultaneously provided:
a regional farmland quality evaluation system comprises: the system comprises a processing module for executing each module program and transmitting information, a storage module for storing each module execution program and the processing module, a cultivated land distribution diagram acquisition module, a cultivated land area calculation module, a soil fertility calculation module, a distribution dispersion calculation module, a planting advantage calculation module, a score matrix calculation module and a quality evaluation module, wherein the cultivated land distribution diagram acquisition module is respectively connected with the cultivated land area calculation module, the soil fertility calculation module, the distribution dispersion calculation module and the planting advantage calculation module, and the cultivated land area calculation module, the soil fertility calculation module, the distribution dispersion calculation module and the planting advantage calculation module are all connected with the quality evaluation module through the score matrix calculation module;
the arable land distribution diagram acquisition module is used for acquiring the arable land distribution diagram of a certain area and numbering the arable land in the area according to natural blocks of the arable land;
the arable area calculation module is used for acquiring the arable area of each block in the area, the total arable area in the area and the average arable area of each block;
the soil fertility calculation module is used for acquiring the soil fertility of all cultivated lands in the area, giving the soil fertility evaluation grade of each cultivated land and calculating the total cultivated land soil fertility evaluation grade in the area;
the distribution dispersion degree calculation module is used for calculating the distribution dispersion degree of cultivated land in the region;
the planting profitability calculation module is used for calculating a planting profitability index of cultivated land in the area;
the score matrix calculation module is used for obtaining a matrix of soil fertility scores, average area scores, distribution dispersion scores and planting profitability scores;
the quality evaluation module is used for setting evaluation coefficients of four dimensions and calculating to obtain a total
Compared with the prior art, the invention has the beneficial effects that:
indexes such as farmland distribution dispersion degree and planting profitability which influence agricultural production are introduced, the farmland quality evaluation method is provided, the farmland quality level of one region can be objectively and comprehensively evaluated, and the evaluation method has the advantages of high comprehensiveness, wide dimension, deep reflection level and the like;
the comprehensive regional farmland quality evaluation method and standard are provided, so that the farmland quality in different regions can be conveniently and visually compared according to a unified standard;
the farmland quality acquisition data is normalized and standardized through a normalized calculation flow and a definite processing method, rapid programming processing of farmland evaluation data by scientific research personnel is facilitated, and the obtained result can be repeated and verified.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a flow chart of the steps of the regional cultivated land quality evaluation method provided by the invention;
FIG. 2 is a schematic view of farmland distribution in the regional farmland quality evaluation method proposed by the present invention;
FIG. 3 is a soil fertility grading standard diagram of a farmland distribution diagram in the regional farmland quality evaluation method proposed by the present invention;
FIG. 4 is a schematic diagram of the center and the total center of each cultivated land in the regional cultivated land quality evaluation method provided by the invention;
FIG. 5 is a schematic flow chart of the regional farmland quality evaluation system provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
According to the embodiment of the invention, the invention further provides a regional farmland quality evaluation method.
Example one
Referring to fig. 1, a regional farmland quality evaluation method comprises the following steps:
step S1: acquiring a farmland distribution map of a certain area and numbering;
step S2: obtaining the cultivated land area;
step S3: calculating the soil fertility evaluation grade of the cultivated land in the area;
step S4: calculating the dispersion of the farmland distribution in the region;
step S5: calculating the planting profitability index of the area;
step S6: calculating score matrixes of different dimensions;
specifically, a matrix of soil fertility score, average area score, distribution dispersion score and planting profitability score is calculated;
step S7: and calculating the total farmland quality evaluation index.
Example two
On the basis of the first embodiment, the regional farmland quality evaluation method comprises the following steps:
s10, acquiring a cultivated land distribution map of a certain area, namely performing contour extraction through a satellite remote sensing image or directly acquiring the cultivated land distribution map from a local mapping department, numbering cultivated lands in the area according to natural blocks of the cultivated land, and recording the total number of the blocks as N;
step S20, obtaining the cultivated land area S of each cultivated land in the area by means of on-site measurement or computer-aided calculation combined with cultivated land distribution diagrami(i＝1,…,N)、Total area of cultivated land in area
Figure BDA0003421172450000091
And average area of single cultivated land
Figure BDA0003421172450000092
Step S30, soil fertility of all cultivated lands in the area is obtained, and soil fertility evaluation grade sigma of each cultivated land is giveni(i is 1, …, N), calculating the total farmland soil fertility evaluation grade value sigma in the area;
specifically, the soil fertility of all cultivated lands in the area is analyzed through field sampling of the cultivated lands or inquired to a local agricultural department;
the soil fertility evaluation grade refers to the soil fertility grading standard recommended by the second national soil census in China, wherein:
the total soil fertility evaluation grade value sigma is determined by the soil fertility sigma of each cultivated landiObtained by weighted averaging of the respective areas as follows:
Figure BDA0003421172450000101
step S40, calculating the dispersion of farmland distribution in the region according to a second method;
specifically, the second method comprises the following steps:
step S41, aiming at the arable land distribution diagram obtained in step S10, calculating the position { (x) of the central point of each arable land in the diagram by using computer-aided technologyi,yi) I is 1, …, N, and the centers are calculated according to the following formula:
Figure BDA0003421172450000102
wherein the content of the first and second substances,
Figure BDA0003421172450000103
is the edge of the ith farmlandThe horizontal and vertical coordinate sets of the edge points, and n is the number of the edge points of the cultivated land;
step S42, calculating the coordinates (X, Y) of the total central point of all cultivated lands in the area, and calculating according to the following formula:
Figure BDA0003421172450000104
step S43, calculating the distribution dispersion degree delta of the cultivated land in the area by using the following formula:
Figure BDA0003421172450000105
step S50, qualitatively evaluating the planting profitability index rho of each cultivated land by means of on-site research or data investigationi；
Specifically, the profitability index is the irrigation profitability of the cultivated land
Figure BDA0003421172450000111
Degree of convenience of mechanization thetaiPlaneness gamma of cultivated landiThe comprehensive results of the indexes are obtained;
and then calculating the total planting profitability index rho in the area.
More specifically, the profitability of farmland irrigation
Figure BDA0003421172450000112
Degree of convenience of mechanization thetaiPlaneness gamma of cultivated landiThe evaluation criteria of the index are as follows:
benefit of irrigation
Figure BDA0003421172450000113
Excellent-full-automatic irrigation can better meet the planting requirement, and the score is 2; good-manual irrigation or semi-automatic irrigation can meet the planting requirements to a certain extent, and the score is 1; poor-difficult irrigation, generally unable to meet planting requirements, scoring 0;
degree of traffic convenience θi: excels-can better satisfy the requirements of agricultural machineryBusiness requirement, score 2; satisfying the operation requirement of agricultural machinery to a certain extent, and scoring 1; poor-unable or almost unable to meet the agricultural machinery operation requirements, score 0;
planeness of cultivated land gammai: the cultivated land is smooth, the planting is facilitated, and the score is 2; good-land fluctuation has certain influence on planting, and the score is 1; poor-cultivated land has large fluctuation, is not beneficial to planting and has a score of 0;
wherein, the planting profitability index rhoiIrrigation profitability through the cultivated land
Figure BDA0003421172450000114
Degree of convenience of mechanization thetaiPlaneness gamma of cultivated landiAnd adding the index scores.
In addition, the total planting profitability index rho in the area is determined by the planting profitability index rho of each cultivated landiThe method is obtained according to the weighted average of the cultivated land areas, and the calculation formula is as follows:
Figure BDA0003421172450000115
step S60, obtaining corresponding scores of evaluation indexes under different dimensionalities according to score calculation rules of different indexes, and providing a score matrix of a soil fertility score delta 1, an average area score delta 2, a distribution dispersion score delta 3 and a planting profitability score delta 4;
specifically, the score calculation rules of different indexes are as follows:
the soil fertility score delta 1 calculation rule is as follows: the soil fertility grade is 100-90 on a 1-2 basis, 90-80 on a 2-3 basis, 80-70 on a 3-4 basis, 70-60 on a 4-5 basis, and 60-40 on a 5-6 basis;
average area score Δ 2 calculation rule: the average area is more than 10 mu and is 100, the average area is 90-10 to 9-1 mu, and the average area is less than 10 to less than 1 mu;
distribution dispersion score Δ 3 calculation rule: the distribution dispersion is 100-90 within the range of less than 100, 90-80 within the range of 100-300, 80-60 within the range of 300-1000, and 40-60 above 1000, and the smaller the dispersion value is, the higher the score is.
Wherein, the planting profitability score delta 4 calculation rule is as follows: planting profitability of 6-5 corresponds to a score of 100-90, 5-4 corresponds to a score of 90-80, 4-3 corresponds to a score of 80-70, 3-2 corresponds to a score of 70-60, 2-1 corresponds to a score of 60-50, and 1-0 corresponds to a score of 50-40.
Step S70 is to set four-dimensional evaluation coefficients k such as a soil fertility score Δ 1, an average area score Δ 2, a distribution dispersion score Δ 3, and a planting profit score Δ 41～k4And obtaining a total farmland quality evaluation index by weighting calculation by using the following formula:
Figure BDA0003421172450000121
kisatisfies Σ ki＝1
Evaluation factor k1～k4Can be adjusted according to different focus points, for example, the distribution dispersion of the focus points on the farmland can be adjusted by changing k3The coefficient proportion is increased.
In order to facilitate a better understanding of the present invention, the following is further described in conjunction with specific data and tables.
On the basis of the second embodiment, the method comprises the following steps of S10-S70:
step S10, obtaining a cultivated land distribution map of a certain area: the acquisition way can be that contour extraction is carried out through a satellite remote sensing image or the contour is directly acquired from a local mapping department, and farmland numbers in the region are coded;
referring to fig. 2, cultivated land in a certain area is distributed, and six lands are numbered from first to sixth in total;
step S20, obtaining the cultivated land area S of each cultivated land in the area by means of on-site measurement or computer-aided calculation combined with cultivated land distribution diagrami(i-1, …,)6 total area of cultivated land in area
Figure BDA0003421172450000131
And average area of single cultivated land
Figure BDA0003421172450000132
The cultivated area of six pieces of land is shown in a table 1:
Figure BDA0003421172450000133
TABLE 1
Obtaining the average area of single cultivated land with the total area S of 32.0 mu
Figure BDA0003421172450000134
Mu m;
step S30, adopting the first method to obtain the soil fertility of all cultivated lands in the area and giving the soil fertility evaluation grade sigma of each cultivated landi(i is 1, …,)6, and calculating the total farmland soil fertility evaluation grade value sigma in the area;
further, the first method can be sampling analysis on farmland site or investigation and consultation to local agricultural departments;
referring to fig. 3, the soil fertility evaluation grade can refer to the soil fertility grading standard recommended by the second national soil census in China, and the obtained soil fertility grade is shown in table 2 according to the method:
Figure BDA0003421172450000141
TABLE 2
Further, the total soil fertility evaluation grade value sigma is determined by the soil fertility of each cultivated landiObtained by weighted averaging of the respective areas as follows:
Figure BDA0003421172450000142
step S40, calculating the dispersion of farmland distribution in the region by a second method;
further, the second method comprises the steps of:
step S41, aiming at cultivationThe ground distribution map calculates the position { (x) of the central point of each cultivated land in the map by using a computer-assisted segmenti,yi) I is 1, …,6, with (0, 0) in the upper left corner of the figure, x being positive to the right and y being positive downwards, in scale 1. The centers are calculated according to the following formula:
Figure BDA0003421172450000143
wherein the content of the first and second substances,
Figure BDA0003421172450000151
is the edge point horizontal and vertical coordinate set of the ith farmland, and n is the edge point number of the farmland; the calculated central position point of each region is shown in table 3:
Figure BDA0003421172450000152
TABLE 3
Step S42, calculating the coordinates (X, Y) of the total central point of all cultivated lands in the area, and calculating according to the following formula:
Figure BDA0003421172450000153
the center and the total center of each cultivated land are schematically shown, and refer to fig. 4.
Step S43, calculating the distribution dispersion degree delta of the cultivated land in the area by using the following formula:
Figure BDA0003421172450000154
step S50, qualitatively evaluating the planting profitability index rho of each cultivated land by means of on-site research or data investigationiThe index is the irrigation profitability of each cultivated land
Figure BDA0003421172450000155
Mechanization convenienceDegree thetaiPlaneness gamma of cultivated landiThe comprehensive results of the indexes are obtained; calculating a total planting profitability index rho in the area;
further, the profitability of farmland irrigation
Figure BDA0003421172450000161
Degree of convenience of mechanization thetaiPlaneness gamma of cultivated landiThe evaluation criteria of the index are as follows:
benefit of irrigation
Figure BDA0003421172450000162
Excellent-full-automatic irrigation can better meet the planting requirement, and the score is 2; good-manual irrigation or semi-automatic irrigation can meet the planting requirements to a certain extent, and the score is 1; poor-difficult irrigation, generally unable to meet planting requirements, scoring 0;
degree of traffic convenience θi: the method has the advantages that the method can better meet the operation requirements of agricultural machinery, and the score is 2; satisfying the operation requirement of agricultural machinery to a certain extent, and scoring 1; poor-unable or almost unable to meet the agricultural machinery operation requirements, score 0;
planeness of cultivated land gammai: the cultivated land is smooth, the planting is facilitated, and the score is 2; good-land fluctuation has certain influence on planting, and the score is 1; poor-cultivated land has large fluctuation, is not beneficial to planting and has a score of 0;
planting profitability index rhoiIrrigation profitability through the cultivated land
Figure BDA0003421172450000163
Degree of convenience of mechanization thetaiPlaneness gamma of cultivated landiAnd adding the index scores.
Based on the above evaluation criteria, the results are given in table 4:
Figure BDA0003421172450000164
TABLE 4
Further, the total planting profitability index in the areaRho, the planting profitability index rho of each cultivated landiObtained by weighted averaging of the respective areas as follows:
Figure BDA0003421172450000171
obtaining rho which is 3.9 through calculation; 7
Step S60, based on the steps, according to the score calculation rules of different indexes, summarizing to obtain corresponding scores of the evaluation indexes under different dimensions, and providing a score matrix of a soil fertility score delta 1, an average area score delta 2, a distribution dispersion score delta 3 and a planting profitability score delta 4;
further, the score calculation rules of the different indexes are as follows:
the soil fertility score delta 1 calculation rule is as follows: the soil fertility grade is 100-90 on a 1-2 basis, 90-80 on a 2-3 basis, 80-70 on a 3-4 basis, 70-60 on a 4-5 basis, and 60-40 on a 5-6 basis;
average area score Δ 2 calculation rule: the average area is more than 10 mu and is 100, the average area is 90-10 to 9-1 mu, and the average area is less than 10 to less than 1 mu;
distribution dispersion score Δ 3 calculation rule: the distribution dispersion is 100-90 within the range of less than 100, 90-80 within the range of 100-300, 80-60 within the range of 300-1000, and 40-60 above 1000, and the smaller the dispersion value is, the higher the score is.
Planting profitability score Δ 4 calculation rule: planting profitability of 6-5 with a corresponding score of 100-90, 5-4 with a corresponding score of 90-80, 4-3 with a corresponding score of 80-70, 3-2 with a corresponding score of 70-60, 2-1 with a corresponding score of 60-50, and 1-0 with a corresponding score of 50-40;
according to the score calculation rule, obtaining the corresponding score matrixes of the evaluation indexes under different dimensions, which are shown in table 5:
Figure BDA0003421172450000181
TABLE 5
Step S70, settingEvaluation coefficients k of four dimensions such as soil fertility score delta 1, average area score delta 2, distribution dispersion score delta 3, planting profitability score delta 4 and the like1～k4And obtaining a total farmland quality evaluation index by weighting calculation by using the following formula:
Figure BDA0003421172450000182
kisatisfies Σ ki＝1
Evaluation factor k1～k4Can be adjusted according to different focus points, for example, the distribution dispersion of the focus points on the farmland can be adjusted by changing k3The coefficient proportion is increased. Where k is set1～k4Respectively 0.2, 0.2, 0.4 and 0.2, and the obtained calculation result is that
ε＝0.2×85+0.2×53+0.4×88+0.2×80＝78.8。
It should be noted that the above formulas are all calculated by removing dimensions and taking values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold in the formula are set by those skilled in the art according to the actual situation or obtained by simulating a large amount of data.
According to the embodiment of the invention, the invention further provides a regional farmland quality evaluation system.
Referring to fig. 5, the regional cultivated land quality evaluation system includes: the system comprises a processing module for executing each module program and transmitting information, a storage module for storing each module execution program and the processing module, a cultivated land distribution diagram acquisition module, a cultivated land area calculation module, a soil fertility calculation module, a distribution dispersion calculation module, a planting advantage calculation module, a score matrix calculation module and a quality evaluation module, wherein the cultivated land distribution diagram acquisition module is respectively connected with the cultivated land area calculation module, the soil fertility calculation module, the distribution dispersion calculation module and the planting advantage calculation module, and the cultivated land area calculation module, the soil fertility calculation module, the distribution dispersion calculation module and the planting advantage calculation module are all connected with the quality evaluation module through the score matrix calculation module.
Wherein:
the arable land distribution diagram acquisition module is used for acquiring the arable land distribution diagram of a certain area and numbering the arable land in the area according to natural blocks of the arable land;
the arable area calculation module is used for acquiring the arable area of each block in the area, the total arable area in the area and the average arable area of each block;
the soil fertility calculation module is used for acquiring the soil fertility of all cultivated lands in the area, giving the soil fertility evaluation grade of each cultivated land and calculating the total cultivated land soil fertility evaluation grade in the area;
the distribution dispersion degree calculation module is used for calculating the distribution dispersion degree of cultivated land in the region;
the planting profitability calculation module is used for calculating a planting profitability index of cultivated land in the area;
the score matrix calculation module is used for obtaining a matrix of soil fertility scores, average area scores, distribution dispersion scores and planting profitability scores;
and the quality evaluation module is used for setting evaluation coefficients of four dimensions and calculating to obtain a total farmland quality evaluation index.
Wherein, the processing module adopts any one processor which can be suitable for executing various programs, and preferably adopts core I5 series processor; the storage module adopts any matched storage device which is suitable for storing a plurality of programs, and the programs are suitable for being loaded and executed by a processor to realize the regional farmland quality evaluation method.
In addition, it is clear to those skilled in the art that, for convenience and brevity of description, the specific working process and related descriptions of the system described above may refer to the corresponding process in the foregoing method embodiments, and are not described herein again.
It should be noted that, the regional farmland quality evaluation system provided in the above embodiment is only exemplified by the division of the above functional modules, and in practical applications, the above functions may be allocated to different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the above embodiment may be combined into one module, or may be further split into a plurality of sub-modules, so as to complete all or part of the above described functions. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not to be construed as unduly limiting the present invention.
The above description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto.

Claims (10)

1. A regional farmland quality evaluation method is characterized by comprising the following steps:
step S1: acquiring a farmland distribution map of a certain area and numbering;
step S2: obtaining the cultivated land area;
step S3: calculating the soil fertility evaluation grade of the cultivated land in the area;
step S4: calculating the dispersion of the farmland distribution in the region;
step S5: calculating the planting profitability index of the area;
step S6: calculating score matrixes of different dimensions;
step S7: and calculating the total farmland quality evaluation index.
2. The regional farmland quality evaluation method according to claim 1, characterized by comprising the following steps:
s10, acquiring a cultivated land distribution map of a certain area, namely performing contour extraction through a satellite remote sensing image or directly acquiring the cultivated land distribution map from a local mapping department, numbering cultivated lands in the area according to natural blocks of the cultivated land, and recording the total number of the blocks as N;
step S20, obtaining the cultivated land area S of each cultivated land in the area by means of on-site measurement or computer-aided calculation combined with cultivated land distribution diagrami(i 1, …, N), total area of cultivated land in area
Figure FDA0003421172440000011
And average area of single cultivated land
Figure FDA0003421172440000012
Step S30, soil fertility of all cultivated lands in the area is obtained, and soil fertility evaluation grade sigma of each cultivated land is giveni(i is 1, …, N), calculating the total farmland soil fertility evaluation grade value sigma in the area;
step S40, calculating the dispersion of farmland distribution in the region according to a second method;
step S50, qualitatively evaluating the planting profitability index rho of each cultivated land by means of on-site research or data investigationi；
Step S60, obtaining corresponding scores of evaluation indexes under different dimensionalities according to score calculation rules of different indexes, and providing a score matrix of a soil fertility score delta 1, an average area score delta 2, a distribution dispersion score delta 3 and a planting profitability score delta 4;
step S70 is to set four-dimensional evaluation coefficients k such as a soil fertility score Δ 1, an average area score Δ 2, a distribution dispersion score Δ 3, and a planting profit score Δ 41～k4And obtaining a total farmland quality evaluation index by weighting calculation by using the following formula:
Figure FDA0003421172440000021
kisatisfies Σ ki＝1
Evaluation factor k1～k4Can be adjusted according to different focus points, for example, the distribution dispersion of the focus points on the farmland can be adjusted by changing k3The coefficient proportion is increased.
3. The regional farmland quality evaluation method according to claim 2, wherein the soil fertility of all the arable lands in the region used in the step S30 is analyzed by on-site sampling of the arable land or is inquired into a local agricultural department;
the soil fertility evaluation grade refers to the soil fertility grading standard recommended by the second national soil census in China, wherein:
the total soil fertility evaluation grade value sigma is determined by the soil fertility sigma of each cultivated landiObtained by weighted averaging of the respective areas as follows:
Figure FDA0003421172440000022
4. the regional farmland quality evaluation method according to claim 2, which is used in step S40, wherein the second method comprises the steps of:
step S41, aiming at the arable land distribution diagram obtained in step S10, calculating the position { (x) of the central point of each arable land in the diagram by using computer-aided technologyi,yi) I is 1, …, N, and the centers are calculated according to the following formula:
Figure FDA0003421172440000031
wherein the content of the first and second substances,
Figure FDA0003421172440000032
is the edge point horizontal and vertical coordinate set of the ith farmland, and n is the edge point number of the farmland;
step S42, calculating the coordinates (X, Y) of the total central point of all cultivated lands in the area, and calculating according to the following formula:
Figure FDA0003421172440000033
step S43, calculating the distribution dispersion degree delta of the cultivated land in the area by using the following formula:
Figure FDA0003421172440000034
5. the method for evaluating the quality of regional cultivated land according to claim 2, wherein the profitability index is the irrigation profitability of the cultivated land in the block in step S50
Figure FDA0003421172440000035
Degree of convenience of mechanization thetaiPlaneness gamma of cultivated landiThe comprehensive results of the indexes are obtained;
and then calculating the total planting profitability index rho in the area.
6. The regional farmland quality evaluation method according to claim 5, wherein the farmland irrigation profitability
Figure FDA0003421172440000036
Degree of convenience of mechanization thetaiPlaneness gamma of cultivated landiThe evaluation criteria of the index are as follows:
benefit of irrigation
Figure FDA0003421172440000041
Excellent-full-automatic irrigation can better meet the planting requirement, and the score is 2; good-manual irrigation or semi-automatic irrigation can meet the planting requirements to a certain extent, and the score is 1; poor-difficult irrigation, generally unable to meet planting requirements, scoring 0;
degree of traffic convenience θi: the method has the advantages that the method can better meet the operation requirements of agricultural machinery, and the score is 2; satisfying the operation requirement of agricultural machinery to a certain extent, and scoring 1; poor-unable or almost unable to meet the agricultural machinery operation requirements, score 0;
planeness of cultivated land gammai: the cultivated land is smooth, the planting is facilitated, and the score is 2; good-land fluctuation has certain influence on planting, and the score is 1; poor-cultivated land has large fluctuation, is not beneficial to planting and has a score of 0;
wherein, the planting profitability index rhoiIrrigation by the cultivated landDegree of irrigation
Figure FDA0003421172440000042
Degree of convenience of mechanization thetaiPlaneness gamma of cultivated landiAnd adding the index scores.
7. The method for evaluating the farmland quality in a region according to claim 6, wherein the total planting profitability index ρ of the region is determined by the planting profitability index ρ of each farmlandiThe method is obtained according to the weighted average of the cultivated land areas, and the calculation formula is as follows:
Figure FDA0003421172440000043
8. the regional farmland quality evaluation method according to claim 2, wherein the score calculation rules for the different indexes in step S60 are as follows:
the soil fertility score delta 1 calculation rule is as follows: the soil fertility grade is 100-90 on a 1-2 basis, 90-80 on a 2-3 basis, 80-70 on a 3-4 basis, 70-60 on a 4-5 basis, and 60-40 on a 5-6 basis;
average area score Δ 2 calculation rule: the average area is more than 10 mu and is 100, the average area is 90-10 to 9-1 mu, and the average area is less than 10 to less than 1 mu;
distribution dispersion score Δ 3 calculation rule: the distribution dispersion is 100-90 within the range of less than 100, 90-80 within the range of 100-300, 80-60 within the range of 300-1000, and 40-60 above 1000, and the smaller the dispersion value is, the higher the score is.
9. The regional farmland quality evaluation method according to claim 8, wherein the planting profitability score Δ 4 calculation rule is: planting profitability of 6-5 corresponds to a score of 100-90, 5-4 corresponds to a score of 90-80, 4-3 corresponds to a score of 80-70, 3-2 corresponds to a score of 70-60, 2-1 corresponds to a score of 60-50, and 1-0 corresponds to a score of 50-40.
10. A regional farmland quality evaluation system for the regional farmland quality evaluation method according to any one of claims 1 to 9, characterized in that the regional farmland quality evaluation system comprises: the system comprises a processing module for executing each module program and transmitting information, a storage module for storing each module execution program and the processing module, a cultivated land distribution diagram acquisition module, a cultivated land area calculation module, a soil fertility calculation module, a distribution dispersion calculation module, a planting advantage calculation module, a score matrix calculation module and a quality evaluation module, wherein the cultivated land distribution diagram acquisition module is respectively connected with the cultivated land area calculation module, the soil fertility calculation module, the distribution dispersion calculation module and the planting advantage calculation module, and the cultivated land area calculation module, the soil fertility calculation module, the distribution dispersion calculation module and the planting advantage calculation module are all connected with the quality evaluation module through the score matrix calculation module;
the arable land distribution diagram acquisition module is used for acquiring the arable land distribution diagram of a certain area and numbering the arable land in the area according to natural blocks of the arable land;
the arable area calculation module is used for acquiring the arable area of each block in the area, the total arable area in the area and the average arable area of each block;
the soil fertility calculation module is used for acquiring the soil fertility of all cultivated lands in the area, giving the soil fertility evaluation grade of each cultivated land and calculating the total cultivated land soil fertility evaluation grade in the area;
the distribution dispersion degree calculation module is used for calculating the distribution dispersion degree of cultivated land in the region;
the planting profitability calculation module is used for calculating a planting profitability index of cultivated land in the area;
the score matrix calculation module is used for obtaining a matrix of soil fertility scores, average area scores, distribution dispersion scores and planting profitability scores;
and the quality evaluation module is used for setting evaluation coefficients of four dimensions and calculating to obtain a total farmland quality evaluation index.
CN202111563404.8A 2021-12-20 2021-12-20 Regional farmland quality evaluation method and system Pending CN114066327A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115879208A (en) * 2023-01-30 2023-03-31 中国铁路设计集团有限公司 Intelligent design method and system for urban rail engineering station room
CN116662784A (en) * 2023-06-05 2023-08-29 云南瀚哲科技有限公司 Method and system for monitoring cultivated quality

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115879208A (en) * 2023-01-30 2023-03-31 中国铁路设计集团有限公司 Intelligent design method and system for urban rail engineering station room
CN115879208B (en) * 2023-01-30 2023-05-02 中国铁路设计集团有限公司 Intelligent design method and system for urban rail engineering station room
CN116662784A (en) * 2023-06-05 2023-08-29 云南瀚哲科技有限公司 Method and system for monitoring cultivated quality
CN116662784B (en) * 2023-06-05 2023-10-27 云南瀚哲科技有限公司 Method and system for monitoring cultivated quality

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