CN115620825A

CN115620825A - Soil fertility evaluation method, device, equipment and storage medium

Info

Publication number: CN115620825A
Application number: CN202211636884.0A
Authority: CN
Inventors: 叶英新; 郝文雅; 宫帅; 刘志强; 宋卫玲; 黄海强
Original assignee: Sinochem Agriculture Holdings
Current assignee: Sinochem Agriculture Holdings
Priority date: 2022-12-20
Filing date: 2022-12-20
Publication date: 2023-01-17
Anticipated expiration: 2042-12-20
Also published as: CN115620825B

Abstract

The invention provides a soil fertility evaluation method, a device, equipment and a storage medium, which relate to the technical field of soil evaluation and comprise the following steps: acquiring detection data of each soil index of soil to be evaluated; according to the detection data, calculating by using a scoring function to obtain an index quantitative score of each soil index; calculating to obtain a comprehensive fertility score according to the quantitative scores of the indexes; the soil indexes at least comprise pH, available phosphorus, quick-acting potassium and medium trace elements. According to the method, the grading function of each soil index is obtained by combining the suitable range of the soil index for crop growth, the soil nutrient antagonistic effect, the confidence upper limit value of soil data, the optimum range of the soil pH for crop growth and the critical point of the pH value for growth stress, and fitting and constructing, and the conditions of absorption, growth and environmental benefits of excessive elements on the crop nutrients are fully considered, so that the comprehensive fertility value is calculated according to the grading function of each soil index, and a theoretical basis is provided for accurately selecting a planting area and customizing a fertilization scheme for the crop.

Description

Soil fertility evaluation method, device, equipment and storage medium

Technical Field

The invention relates to the technical field of soil evaluation, in particular to a soil fertility evaluation method, a soil fertility evaluation device, soil fertility evaluation equipment and a storage medium.

Background

The difference of the nutrient content and the spatial distribution of the soil is an important mark of the soil fertility and is a critical factor for the safe production of grains. With the change of land utilization modes, fertilization and management measures, the soil nutrient conditions in different areas are greatly different. The soil fertility is developed from qualitative description to quantitative evaluation, and the quantitative evaluation is favorable for revealing the spatial change of soil nutrients, understanding the essential attributes of the soil and having important theoretical guidance significance for reasonably utilizing soil resources and scientifically fertilizing.

At present, in most soil evaluation methods, an "S-type score function" is usually adopted for available phosphorus and available potassium in soil, and the situation that absorption of other nutrient elements is inhibited when too much phosphorus and potassium in soil are not considered in the process of constructing the S-type score function, so that negative effects that crops grow unfavorably and environmental pollution is easily caused are not considered, and the accuracy of soil fertility evaluation is low, and additionally, an optimal threshold range in the score function of medium trace elements is usually set widely, for example, in some evaluation methods, if the content of available magnesium in soil is greater than 33mg/kg, the optimal range of crops is considered, and less than or equal to 33mg/kg is classified as the range that crops grow unfavorably, and the situation that the content of medium trace elements is too high, so that crop growth is inhibited and antagonistic to other elements are generated, and the overall nutrient absorption of crops is weakened, so that the accuracy of soil fertility evaluation is low, and crop growth is influenced.

Disclosure of Invention

The invention provides a soil fertility evaluation method, a device, equipment and a storage medium, aiming at improving the accuracy of soil fertility evaluation.

The invention provides a soil fertility evaluation method, which comprises the following steps:

acquiring detection data of each soil index of soil to be evaluated;

according to the detection data of each soil index, respectively calculating to obtain an index quantification score corresponding to each soil index by using a scoring function corresponding to each soil index;

calculating to obtain a comprehensive fertility score of the soil to be evaluated according to the index quantitative score corresponding to each soil index;

wherein each soil index at least comprises pH, available phosphorus, quick-acting potassium and medium trace elements; the grading function corresponding to the pH value is obtained by performing mathematical fitting construction according to the optimal growth pH range and the growth stress pH critical point of the crops;

the scoring functions respectively corresponding to the available phosphorus, the quick-acting potassium and the medium trace elements are obtained by mathematical fitting construction according to the respective corresponding crop growth suitable ranges and the nutrient absorption antagonistic effect ranges; the nutrient absorption antagonistic effect range is an interval range formed by a data detection confidence upper limit value and an upper limit value of the crop growth suitable range; the data detection confidence upper limit value is determined based on the sample accumulation probability corresponding to a plurality of sample detection data.

According to the soil fertility evaluation method provided by the invention, the pH scoring function is constructed based on the following steps:

determining the optimal growth pH range and the growth stress pH critical point corresponding to the pH values of different crops;

constructing and obtaining each pH piecewise function corresponding to different crops based on the optimal growth pH range corresponding to the pH value and the growth stress pH critical point;

and forming a grading function of the pH values corresponding to different crops based on the pH piecewise functions corresponding to different crops.

According to the soil fertility evaluation method provided by the invention, the scoring function of available phosphorus is constructed based on the following steps:

calculating to obtain the cumulative probability of each sample corresponding to the available phosphorus according to the detection data of each sample corresponding to the available phosphorus;

determining a data detection confidence upper limit value corresponding to the effective phosphorus based on the accumulation probability of each sample corresponding to the effective phosphorus;

determining a suitable crop growth range corresponding to the available phosphorus;

forming a nutrient absorption antagonistic effect range corresponding to the available phosphorus based on the data detection confidence upper limit value corresponding to the available phosphorus and the upper limit value of the crop growth suitable range;

constructing and obtaining each available phosphorus piecewise function based on the appropriate crop growth range and the nutrient absorption antagonistic effect range corresponding to the available phosphorus;

and forming a scoring function of the available phosphorus based on each available phosphorus segmentation function.

According to the soil fertility evaluation method provided by the invention, the scoring function of the quick-acting potassium is constructed based on the following steps:

calculating to obtain the cumulative probability of each sample corresponding to the quick-acting potassium according to the detection data of each sample corresponding to the quick-acting potassium;

determining a data detection confidence upper limit value corresponding to the quick-acting potassium based on the accumulation probability of each sample corresponding to the quick-acting potassium;

determining the appropriate growth range of crops corresponding to the quick-acting potassium;

forming a nutrient absorption antagonistic effect range corresponding to the quick-acting potassium based on the data detection confidence upper limit value corresponding to the quick-acting potassium and the upper limit value of the crop growth suitable range;

constructing and obtaining each quick-acting potassium piecewise function based on the crop growth suitable range and the nutrient absorption antagonistic effect range corresponding to the quick-acting potassium;

forming a scoring function for the available phosphorus based on each of the fast-acting potassium piecewise functions.

According to the soil fertility evaluation method provided by the invention, the scoring function of the medium trace elements is constructed based on the following steps:

calculating to obtain the cumulative probability of each sample corresponding to the medium trace elements according to the detection data of each sample corresponding to the medium trace elements;

determining a data detection confidence upper limit value corresponding to the medium trace element based on the accumulation probability of each sample corresponding to the medium trace element;

determining the appropriate growth range of crops corresponding to the medium trace elements;

forming a nutrient absorption antagonistic effect range corresponding to the medium trace elements based on the data detection confidence upper limit value corresponding to the medium trace elements and the upper limit value of the crop growth suitable range;

constructing and obtaining each medium and trace element piecewise function based on the crop growth suitable range and the nutrient absorption antagonistic effect range of the medium and trace elements;

and forming a grading function of the medium trace elements on the basis of the segmentation function of each medium trace element.

According to the soil fertility evaluation method provided by the invention, the medium trace elements comprise at least one of available calcium, available magnesium, available sulfur, available iron, available manganese, available copper, available zinc and available boron.

According to the soil fertility evaluation method provided by the invention, the soil indexes at least comprise organic matters, ammonium nitrogen and nitrate nitrogen;

the scoring functions respectively corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen are constructed based on the following steps:

calculating target cumulative probability distribution corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen respectively according to sample detection data corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen respectively;

determining turning points corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen respectively based on target cumulative probability distributions corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen respectively;

and respectively constructing and obtaining scoring functions corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen based on turning points corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen.

The invention also provides a soil fertility evaluation device, comprising:

the acquisition module is used for acquiring detection data of each soil index of soil to be evaluated;

the index quantitative score calculation module is used for calculating and obtaining the index quantitative scores corresponding to the soil indexes by using the scoring functions corresponding to the soil indexes according to the detection data of the soil indexes;

the fertility score calculation module is used for calculating and obtaining a comprehensive fertility score of the soil to be evaluated according to the index quantitative score corresponding to each soil index;

wherein each soil index at least comprises pH, available phosphorus, quick-acting potassium and medium trace elements;

the grading function corresponding to the pH value is obtained by performing mathematical fitting construction according to the optimal growth pH range and the growth stress pH critical point of the crops;

the scoring functions respectively corresponding to the available phosphorus, the quick-acting potassium and the medium trace elements are obtained by performing mathematical fitting construction according to the respective corresponding crop growth suitable ranges and the nutrient absorption antagonistic effect ranges; the nutrient absorption antagonistic effect range is an interval range formed by a data detection confidence upper limit value and an upper limit value of the crop growth suitable range; the data detection confidence upper limit value is determined based on the sample accumulation probability corresponding to a plurality of sample detection data.

The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the soil fertility evaluation method.

The present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a soil fertility evaluation method as described in any one of the above.

According to the soil fertility evaluation method, the device, the equipment and the storage medium, the grading function is constructed by combining the crop growth suitable range and the nutrient absorption antagonistic effect range of soil indexes such as available phosphorus, available potassium and medium and trace elements and the like in a fitting manner, the grading function corresponding to the pH value is constructed by combining the optimal growth pH range and the growth stress pH critical point, the problems that the growth condition of crops is stressed due to overhigh or overlow pH value and the absorption of other nutrient elements of the crops and the soil environment pollution and the like are influenced by soil nutrient antagonism caused by excessive elements are fully considered, and further, the comprehensive fertility score can be accurately calculated according to the grading function of each soil index, so that a theoretical basis is provided for accurately selecting a suitable planting area and customizing a fertilization scheme for the crops according to the comprehensive fertility score.

Drawings

In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed to be used in the description of the embodiments or the prior art are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic flow chart of a soil fertility evaluation method provided by the present invention;

FIG. 2 is a graphical representation of a pH scoring function provided by one embodiment of the present invention;

FIG. 3 is a graphical illustration of an effective phosphorus score function provided by one embodiment of the present invention;

FIG. 4 is a graphical illustration of a quick-acting potassium scoring function provided by one embodiment of the present invention;

FIG. 5 is a schematic diagram of an effective calcium scoring function provided by one embodiment of the present invention;

FIG. 6 is a graphical illustration of an effective magnesium score function provided by one embodiment of the present invention;

FIG. 7 is a graphical illustration of an effective sulfur score function provided by one embodiment of the present invention;

FIG. 8 is a graphical representation of an effective iron score function provided by one embodiment of the present invention;

FIG. 9 is a graphical illustration of an effective manganese score function provided by one embodiment of the present invention;

FIG. 10 is a graphical illustration of an effective copper score function provided by one embodiment of the present invention;

FIG. 11 is a graphical illustration of an effective zinc scoring function provided by one embodiment of the present invention;

FIG. 12 is a graphical illustration of an effective boron score function provided by one embodiment of the present invention;

fig. 13 is a schematic diagram of an organic matter scoring function provided by an embodiment of the present invention;

FIG. 14 is a schematic structural view of a soil fertility evaluating device provided by the present invention;

fig. 15 is a schematic structural diagram of an electronic device provided by the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terminology used in the one or more embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of the invention. As used in one or more embodiments of the present invention, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present invention refers to and encompasses any and all possible combinations of one or more of the associated listed items.

It should be understood that, although the terms first, second, etc. may be used herein to describe various information in one or more embodiments of the present invention, such information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first can also be referred to as a second and, similarly, a second can also be referred to as a first without departing from the scope of one or more embodiments of the present invention. The word "if" as used herein may be interpreted as "at … …" or "at … …" depending on the context.

FIG. 1 is a schematic flow chart of a soil fertility evaluation method provided by the invention. As shown in fig. 1, the soil fertility evaluation method includes:

step 11, acquiring detection data of each soil index of soil to be evaluated;

it should be noted that the soil indexes indicate index factors affecting soil fertility, and each soil index includes indexes of organic matters, ammonium nitrogen, nitrate nitrogen, pH, available phosphorus, available potassium, medium trace elements and the like. Further, the medium trace elements comprise effective calcium, effective magnesium, effective sulfur, effective iron, effective manganese, effective copper, effective zinc, effective boron and other elements.

Specifically, a combined leaching detection method and/or a national standard detection method can be used for detecting element contents corresponding to organic matters, ammonium nitrogen, nitrate nitrogen, available phosphorus, quick-acting potassium and medium trace elements in the soil to be evaluated respectively, and detecting a pH value corresponding to the soil to be evaluated, so that detection data of each soil index can be obtained.

Step 12, according to the detection data of each soil index, respectively calculating to obtain an index quantification score corresponding to each soil index by using a scoring function corresponding to each soil index;

wherein each soil index at least comprises pH, available phosphorus, quick-acting potassium and medium trace elements; the grading function corresponding to the pH value is obtained by performing mathematical fitting construction according to the optimal growth pH range and the growth stress pH critical point of the crops; the scoring functions respectively corresponding to the available phosphorus, the quick-acting potassium and the medium trace elements are obtained by performing mathematical fitting construction according to the respective corresponding crop growth suitable ranges and the nutrient absorption antagonistic effect ranges; the nutrient absorption antagonistic effect range is an interval range formed by a data detection confidence upper limit value and an upper limit value of the crop growth suitable range; the data detection confidence upper limit value is determined based on the sample accumulation probability corresponding to a plurality of sample detection data;

the growth stress pH critical point represents a critical point of inhibiting the growth of crops under the condition of too high or too low pH value, and the suitable growth range of the crops comprises a suitable growth range of effective phosphorus and quick-acting potassium and a suitable growth range corresponding to medium trace elements such as effective calcium, effective magnesium, effective sulfur, effective iron, effective manganese, effective copper, effective zinc and effective boron. The effective phosphorus refers to phosphorus which can be absorbed and utilized by crops in soil, the quick-acting potassium refers to potassium which is easily absorbed and utilized by the crops in the soil, and the medium and trace elements such as the effective calcium, the effective magnesium, the effective sulfur, the effective iron, the effective manganese, the effective copper, the effective zinc, the effective boron and the like refer to the medium and trace elements which can be absorbed and utilized by the crops in the soil. The nutrient antagonistic effect range represents a nutrient antagonistic effect range which influences the absorption of other nutrient elements of crops due to the antagonistic action among soil nutrients generated by excessive certain nutrient, and the nutrient antagonistic effect range comprises antagonistic effect ranges respectively corresponding to available phosphorus, available potassium, available calcium, available magnesium, available sulfur, available iron, available manganese, available copper, available zinc and available boron. Wherein, the nutrient absorption antagonistic effect range is an interval range formed by a data detection confidence upper limit value and an upper limit value of the crop growth suitable range; the data detection confidence upper limit value is determined based on the sample accumulation probability corresponding to a plurality of sample detection data.

The pH scoring function is constructed according to the optimal growth pH range of the pH value and the growth stress pH critical point; the scoring function of the available phosphorus is constructed based on the appropriate range of the crop growth and the range of the nutrient absorption antagonistic effect corresponding to the available phosphorus; the scoring function of the quick-acting potassium is constructed on the basis of the crop growth suitable range and the nutrient absorption antagonistic effect range corresponding to the quick-acting potassium; the scoring function of the medium trace elements is constructed based on the crop growth suitable range and the nutrient absorption antagonistic effect range corresponding to the medium trace elements. Wherein, the grading functions corresponding to the pH, the available phosphorus, the quick-acting potassium and the medium and trace elements conform to the optimal function curve.

Additionally, the present embodiment further includes scoring functions respectively corresponding to the organic matter, the ammonium nitrogen, and the nitrate nitrogen, where the scoring functions respectively corresponding to the organic matter, the ammonium nitrogen, and the nitrate nitrogen are obtained by performing data fitting construction according to a plurality of pre-collected sample detection data. Wherein the scoring functions corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen conform to the increasing function curve.

Specifically, the detection data of each soil index is respectively substituted into the corresponding scoring function, so that the index quantitative score corresponding to each soil index can be calculated. Therefore, the main factors influencing the soil fertility are judged according to the index quantification scores corresponding to the soil indexes.

And step 13, calculating to obtain a comprehensive fertility score of the soil to be evaluated according to the index quantitative score corresponding to each soil index.

In an embodiment, specifically, an average value corresponding to the quantitative index score corresponding to each soil index is calculated, and the average value is used as the comprehensive fertility score of the soil.

In another embodiment, specifically, a weighting coefficient corresponding to each soil index may be preset, where the weighting coefficient may be set according to an actual situation, and is not specifically limited herein, and further, based on the weighting coefficient and an index quantitative score corresponding to each soil index, an obtained comprehensive fertility score is calculated.

In addition, after the comprehensive fertility score is obtained through calculation, the fertility grade corresponding to the comprehensive fertility score can be determined according to preset fertility grade dividing information, so that a planting area with a higher fertility grade can be selected for crops according to the fertility grade, and the growth of the crops is facilitated. For example, with reference to table 1, assuming that the soil's composite fertility score is 70, the fertility grade may be determined to be medium high.

TABLE 1 fertility rating information

According to the embodiment of the invention, the grading function is obtained by fitting and constructing the appropriate crop growth range and the nutrient absorption antagonistic effect range of soil indexes such as available phosphorus, available potassium, medium and trace elements and the like, the grading function corresponding to the pH value is constructed by combining the optimal growth pH range and the growth stress pH critical point, the problems that the growth of crops is stressed due to overhigh or overlow pH value and the soil nutrient antagonism influences the absorption of other nutrient elements of the crops and the soil environmental pollution caused by excessive elements are fully considered, and the comprehensive fertility score can be accurately calculated according to the grading function of each soil index, so that a theoretical basis is provided for accurately selecting a proper planting area and customizing a fertilization scheme for the crops according to the comprehensive fertility score.

In one embodiment of the invention, the scoring function for pH is constructed based on the following steps:

determining the optimal growth pH ranges and growth stress pH critical points corresponding to the pH values of different crops; constructing and obtaining each pH piecewise function corresponding to different crops based on the optimal growth pH range corresponding to the pH value and the growth stress pH critical point; and forming a grading function of the pH values corresponding to different crops based on the respective pH piecewise functions corresponding to different crops.

It should be noted that the optimal growth pH ranges corresponding to different crops are different, and the nutrient absorption antagonistic effect range indicates that the crops are difficult to grow at the pH value corresponding to the growth stress pH critical point, and optionally, the growth stress pH critical point can be determined according to the growth conditions of the crops at different pH values.

Specifically, the optimal growth pH ranges and growth stress pH critical points corresponding to the pH values of different crops are determined, for example, the optimal growth pH ranges of crops such as apples, grapes, pears and bananas are 6 to 7.5, and the growth stress pH critical points are 5 and 8.5; the optimal growth pH range of crops such as potatoes, sweet potatoes, strawberries and the like is 5.5 to 6.5, and the growth stress pH critical points are 5 and 9; the optimal growth pH range of crops such as pineapples, blueberries, tea and the like is 4.5-5.5, and the growth stress pH critical points are 4 and 6.5; the optimum growth pH range of crops such as rice, corn, wheat and cotton is 6 to 7.5, and the growth stress pH critical points are 4 and 9.

Based on the optimal growth pH range and the growth stress pH critical point corresponding to any crop, the preset normal range of the pH value is divided into a plurality of interval ranges, wherein the preset normal range is set to be 0 to 14, for example, the optimal growth pH range is 6 to 7.5, the growth stress pH critical point is 5 and 8.5, and table 2 can be referred to, and the interval ranges include 5 intervals. And further constructing a pH piecewise function corresponding to each interval range, wherein the pH piecewise function represents a mapping function between the pH value and the score value, so that the score functions of the pH values corresponding to different crops are based on the pH piecewise functions.

TABLE 2 scoring function of pH

It is understood that the optimum growth pH range of crops such as apple, grape, pear and banana is 6 to 7.5, the growth stress pH critical point is 5 and 8.5, referring to table 2 and fig. 2, fig. 2 is a schematic diagram of a pH score function provided by an embodiment of the present invention, a score value corresponding to a pH value greater than 0 and less than or equal to 5 is set to 0, a score value corresponding to a pH value greater than 8.5 and less than or equal to 14 is set to 0, a score value corresponding to the optimum growth pH range is set to 100, a pH sum score is linearly interpolated within a pH value greater than 5 and less than or equal to 6 to obtain a pH piecewise function corresponding to a pH value greater than 5 and less than or equal to 6, and a pH piecewise function corresponding to a pH value greater than 7.5 and less than or equal to 8.5 is linearly interpolated within a pH value greater than 8.5 and less than or equal to 14.

According to the embodiment of the invention, the grading functions of the pH values corresponding to different crops are constructed and obtained through the optimal growth pH ranges and growth stress pH critical points corresponding to different crops, so that the pH grading values of the crops are accurately and quantitatively obtained according to the grading functions of the pH values.

In one embodiment of the present invention, the scoring function for available phosphorus is constructed based on the following steps:

calculating to obtain the cumulative probability of each sample corresponding to the available phosphorus according to the detection data of each sample corresponding to the available phosphorus; determining a data detection confidence upper limit value corresponding to the effective phosphorus based on the accumulation probability of each sample corresponding to the effective phosphorus; determining a suitable crop growth range corresponding to the available phosphorus; forming a nutrient absorption antagonistic effect range corresponding to the available phosphorus based on the data detection confidence upper limit value corresponding to the available phosphorus and the upper limit value of the crop growth suitable range; constructing and obtaining each available phosphorus piecewise function based on the appropriate crop growth range and the nutrient absorption antagonistic effect range corresponding to the available phosphorus; and forming a scoring function of the available phosphorus based on each available phosphorus segmentation function.

It should be noted that the suitable growth ranges of crops corresponding to available phosphorus of different crops are different, for example, the suitable growth range of available phosphorus is 12mg/L to 40mg/L, mg/L represents milligram per liter, and the setting of the nutrient absorption antagonistic effect range is 40mg/L to 200mg/L. Wherein, the content of available phosphorus in the soil is less than 12mg/L, which can affect the growth of crops, and in addition, the available phosphorus content in the nutrient absorption antagonistic effect range can cause the soil nutrient antagonism (such as phosphorus zinc antagonism) to affect the absorption of other nutrient elements, and aggravate the risk of water source pollution caused by soil phosphorus leaching loss.

Specifically, a plurality of soil samples are obtained first, and then sample detection data corresponding to available phosphorus is obtained through detection in each soil sample, wherein the detection method of the sample detection data includes a combined leaching detection method and a national standard method, preferably, the combined leaching detection method is selected, further, based on each sample detection data, a sample accumulation probability corresponding to the available phosphorus is calculated, further, the sample detection data, of which the sample accumulation probability reaches a preset accumulation probability, is used as a data detection confidence upper limit value, further, based on the data detection confidence upper limit value corresponding to the available phosphorus and an upper limit value of a crop growth suitable range, a nutrient absorption antagonistic effect range corresponding to the available phosphorus is formed, wherein the upper limit value of the crop growth suitable range is used as a lower limit of the nutrient absorption antagonistic effect range of the available phosphorus, the data detection confidence upper limit value is used as an upper limit of the nutrient absorption antagonistic effect range of the available phosphorus, the preset accumulation probability can be set according to an actual situation, and preferably, the preset accumulation probability is set to 0.95.

Further, according to the crop growth suitable range and the nutrient absorption antagonistic effect range of the available phosphorus, a scoring function corresponding to the available phosphorus is obtained through fitting. More specifically: determining a plurality of interval ranges corresponding to the available phosphorus content according to the crop growth suitable range and the nutrient absorption antagonistic effect range of the available phosphorus, referring to table 3 and fig. 3, wherein fig. 3 is a schematic diagram of an available phosphorus scoring function provided by one embodiment of the invention.

TABLE 3 scoring function for available phosphorus

It can be understood that, within the interval range of the available phosphorus content being greater than 0 and less than or equal to 12, the available phosphorus content and the score value are linearly fitted to obtain an available phosphorus piecewise function within the range of greater than 0 and less than or equal to 12, further, the score value corresponding to the suitable range of the available phosphorus for crop growth is set to 100, further, within the range of the nutrient absorption antagonistic effect, that is, within the interval range of the available phosphorus content being greater than 40 and less than or equal to 200, the available phosphorus content and the score value are linearly fitted to obtain an available phosphorus piecewise function within the range of greater than 40 and less than or equal to 200, further, the score value of the available phosphorus content being greater than 200 is set to 0, thereby obtaining each available phosphorus piecewise function, and further, the score function of the available phosphorus is formed according to each available phosphorus piecewise function.

According to the embodiment of the invention, by the scheme, the problems that soil nutrient antagonism influences absorption of other nutrient elements of crops and soil environmental pollution and the like caused by excessive available phosphorus are fully considered according to the appropriate crop growth range and the nutrient absorption antagonism effect range corresponding to the available phosphorus, so that the piecewise functions of the available phosphorus in different available phosphorus content ranges are calculated, the scoring function of the available phosphorus is formed, and the scoring value of the available phosphorus in the soil is accurately quantized according to the scoring function of the available phosphorus.

In one embodiment of the invention, the scoring function of the rapidly-acting potassium is constructed based on the following steps:

calculating to obtain the cumulative probability of each sample corresponding to the quick-acting potassium according to the detection data of each sample corresponding to the quick-acting potassium; determining a data detection confidence upper limit value corresponding to the quick-acting potassium based on the accumulation probability of each sample corresponding to the quick-acting potassium; determining the appropriate growth range of crops corresponding to the quick-acting potassium; forming a nutrient absorption antagonistic effect range corresponding to the quick-acting potassium based on the data detection confidence upper limit value corresponding to the quick-acting potassium and the upper limit value of the crop growth suitable range; constructing and obtaining each quick-acting potassium piecewise function based on the crop growth suitable range and the nutrient absorption antagonistic effect range corresponding to the quick-acting potassium; forming a scoring function for the available phosphorus based on each of the fast-acting potassium piecewise functions.

It should be noted that the suitable ranges of the crop growth corresponding to the quick-acting potassium of different crops are different, for example, the suitable range of the crop growth of the quick-acting potassium is 80mg/L to 140mg/L, and the range of the nutrient absorption antagonistic effect is set to be 140mg/L to 300mg/L. Wherein, the content of the available potassium in the soil is less than 80mg/L, which can affect the growth of crops due to nutrient deficiency, while more than 140mg/L can cause soil nutrient antagonism (such as potassium magnesium antagonism) to affect the absorption of other nutrient elements.

Specifically, sample detection data corresponding to the available potassium is detected in each soil sample, then, based on each sample detection data, a sample accumulation probability corresponding to the available potassium is calculated, further, the sample detection data, of which the sample accumulation probability reaches a preset accumulation probability, is used as a data detection confidence upper limit value of the available potassium, and further, based on the data detection confidence upper limit value corresponding to the available potassium and an upper limit value of a suitable range for crop growth, a nutrient absorption antagonistic effect range of the available potassium is formed, wherein the preset accumulation probability can be set according to an actual situation, and preferably, the preset accumulation probability is set to be 0.95.

Further, determining a plurality of interval ranges corresponding to the content of the quick-acting potassium according to the crop growth suitable range and the nutrient absorption antagonistic effect range of the quick-acting potassium, referring to table 4 and fig. 4, wherein fig. 4 is a schematic diagram of a quick-acting potassium scoring function provided by one embodiment of the invention, and in the interval range where the content of the quick-acting potassium is greater than 0 and less than or equal to 80, performing linear fitting on the content of the quick-acting potassium and a scoring score to obtain a quick-acting potassium piecewise function in the range where the content of the quick-acting potassium is greater than 0 and less than or equal to 80; setting the score value in the suitable growth range of the quick-acting potassium crops as 100; and further aiming at the nutrient absorption antagonistic effect range of the quick-acting potassium, namely, in the interval range of the quick-acting potassium content being more than 80 and less than or equal to 300, carrying out linear fitting on the quick-acting potassium content and the score value to obtain a quick-acting potassium piecewise function being more than 80 and less than or equal to 300, setting the score value of the quick-acting potassium content being more than 300 to be 0 so as to obtain a plurality of quick-acting potassium piecewise functions, and further forming the score function of the quick-acting potassium based on each quick-acting potassium piecewise function.

TABLE 4 quick-acting Potassium score function

According to the embodiment of the invention, by adopting the scheme, the problems that soil nutrient antagonism influences the absorption of other nutrient elements of crops and soil environmental pollution and the like caused by excessive quick-acting potassium are fully considered according to the appropriate growth range and the nutrient absorption antagonism effect range of crops corresponding to the quick-acting potassium, so that quick-acting potassium piecewise functions in different quick-acting potassium content ranges are calculated and obtained, a quick-acting potassium scoring function is formed, and the scoring value of the quick-acting potassium in the soil is accurately quantized according to the scoring function of the quick-acting potassium.

In one embodiment of the present invention, the score function of the medium trace element is constructed based on the following steps:

calculating to obtain the cumulative probability of each sample corresponding to the medium trace elements according to the detection data of each sample corresponding to the medium trace elements; determining a data detection confidence upper limit value corresponding to the medium trace element based on the accumulation probability of each sample corresponding to the medium trace element; determining the appropriate growth range of crops corresponding to the medium trace elements; forming a nutrient absorption antagonistic effect range corresponding to the medium trace elements based on the data detection confidence upper limit value corresponding to the medium trace elements and the upper limit value of the crop growth suitable range; constructing and obtaining each medium and trace element piecewise function based on the crop growth suitable range and the nutrient absorption antagonistic effect range of the medium and trace elements; and forming a grading function of the medium trace elements on the basis of the segmentation function of each medium trace element.

It should be noted that the medium trace elements include effective calcium, effective magnesium, effective sulfur, effective iron, effective manganese, effective copper, effective zinc, effective boron, and the like, the suitable ranges of the crop growth corresponding to the medium trace elements of different crops are different, and the nutrient absorption antagonistic effect range corresponding to each medium trace element can be determined according to the crop growth conditions corresponding to different medium trace element contents in a large amount of soil data.

For example, the crop growth suitability range for available calcium is 300mg/L to 1500mg/L, and the nutrient absorption antagonistic effect range for available calcium is 1500mg/L to 5000mg/L; the suitable range of the crop growth of the available magnesium is 190mg/L to 280mg/L, and the nutrient absorption antagonistic effect range of the available magnesium is 280mg/L to 500mg/L; the suitable range of the crop growth of the available sulfur is 12mg/L to 40mg/L, and the nutrient absorption antagonistic effect range of the available sulfur is 40mg/L to 160mg/L; the crop growth suitable range of available iron is 13mg/L to 30mg/L, and the nutrient absorption antagonistic effect range of the available iron is 30mg/L to 400mg/L; the suitable range of the crop growth of the available manganese is 5mg/L to 10mg/L, and the nutrient absorption antagonistic effect range of the available manganese is 10mg/L to 50mg/L; the crop growth suitable range of available copper is 2mg/L to 4mg/L, and the nutrient absorption antagonistic effect range of the available copper is 4mg/L to 8mg/L; the crop growth suitable range of available zinc is 2mg/L to 4mg/L, and the nutrient absorption antagonistic effect range of the available zinc is 4mg/L to 16mg/L; the suitable range of the crop growth of the available boron is 0.2mg/L to 0.6mg/L, and the nutrient absorption antagonistic effect range of the available boron is 0.6mg/L to 6.4mg/L.

Any one of the medium trace elements performs the following steps: for example, the available calcium is detected in each soil sample to obtain sample detection data corresponding to the available calcium, and then the sample accumulation probability corresponding to the available calcium is calculated based on each sample detection data, further, the sample detection data corresponding to the sample accumulation probability reaching a preset accumulation probability is used as the data detection confidence upper limit value of the available calcium, and the nutrient absorption antagonistic effect range corresponding to the available calcium is formed based on the data detection confidence upper limit value corresponding to the available calcium and the upper limit value of the crop growth suitable range of the available calcium, and the preset accumulation probability may be set according to an actual situation, and preferably, is set to be 0.95.

Further, according to the suitable crop growth range and the nutrient absorption antagonistic effect range corresponding to the available calcium, a plurality of interval ranges corresponding to the available calcium content are determined, referring to table 5 and fig. 5, fig. 5 is a schematic diagram of an available calcium scoring function provided by an embodiment of the present invention, in an interval range where the available calcium content is greater than 0 and less than or equal to 300, the available calcium content and the scoring score are linearly fitted to obtain an available calcium piecewise function in a range greater than 0 and less than or equal to 300, the scoring score greater than 300 and less than or equal to 1500 is set to 100, and additionally, for the nutrient absorption antagonistic effect range of the available calcium, that is, in an interval range where the available calcium content is greater than 1500 and less than or equal to 5000, the available calcium content and the scoring score are linearly fitted to obtain an available calcium piecewise function in a range greater than 1500 and less than or equal to 5000, and the scoring score greater than 5000 is set to 0, thereby obtaining an available calcium piecewise function in each available calcium content range, and further forming the scoring function of the available calcium.

TABLE 5 scoring function for available calcium

It should be noted that, with reference to fig. 6 to fig. 12, fig. 6 is a schematic diagram of an effective magnesium scoring function provided by an embodiment of the present invention, fig. 7 is a schematic diagram of an effective sulfur scoring function provided by an embodiment of the present invention, fig. 8 is a schematic diagram of an effective iron scoring function provided by an embodiment of the present invention, fig. 9 is a schematic diagram of an effective manganese scoring function provided by an embodiment of the present invention, fig. 10 is a schematic diagram of an effective copper scoring function provided by an embodiment of the present invention, fig. 11 is a schematic diagram of an effective zinc scoring function provided by an embodiment of the present invention, and fig. 12 is a schematic diagram of an effective boron scoring function provided by an embodiment of the present invention.

According to the embodiment of the invention, by adopting the scheme, the problems that the soil nutrient antagonism influences the absorption of other nutrient elements of crops and soil environmental pollution and the like caused by excessive medium and trace elements are fully considered according to the appropriate growth range and the nutrient absorption antagonism effect range of the crops corresponding to the medium and trace elements, so that the piecewise functions in different element content ranges are obtained through calculation, the scoring function corresponding to the medium and trace elements is formed, and the scoring values of the trace elements in the soil are accurately and quantitatively obtained according to the scoring function corresponding to the medium and trace elements.

In one embodiment of the present invention, the scoring functions respectively corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen are constructed based on the following steps:

calculating target cumulative probability distribution corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen respectively according to sample detection data corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen respectively; determining turning points corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen respectively based on target cumulative probability distributions corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen respectively; and respectively constructing and obtaining scoring functions respectively corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen based on turning points respectively corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen.

Specifically, sample detection data respectively corresponding to organic matters, ammonium nitrogen and nitrate nitrogen are obtained through detection of a plurality of soil samples. And (3) aiming at sample detection data corresponding to the organic matters: removing abnormal sample detection data, for example, removing sample detection data larger than 100g/kg, further, calculating a target cumulative probability distribution corresponding to each sample detection data, setting the sample detection data with the target cumulative probability distribution of 0.25 as a turning point, and setting the score of the sample detection data with the target cumulative probability distribution of 0.25 as 10 points, further, setting the score of the sample detection data with the target cumulative probability distribution of 0.75 as 100 points, and setting the sample detection data with the target cumulative probability distribution of 0.25 and 0.75 as turning points, so as to perform linear fitting on the organic matter content and the score according to the turning points, obtain a piecewise function of the organic matter, and obtain a scoring function of the organic matter.

In addition, for the sample detection data of ammonium nitrogen and nitrate nitrogen, and the sample detection data corresponding to the target cumulative probability distribution of 0.25 and 0.75, which are taken as turning points, the scoring function construction process is basically the same as the construction process of the scoring function of the organic matter, and is not described again here.

Referring to table 6 and fig. 13, fig. 13 is a schematic diagram of an organic matter scoring function according to an embodiment of the present invention.

TABLE 6 organic matter scoring function

According to the embodiment of the invention, the scoring functions corresponding to the organic matters, the ammonium nitrogen and the nitrate nitrogen are accurately constructed by performing mathematical function fitting according to a plurality of sample detection data.

The soil fertility evaluating device provided by the present invention will be described below, and the soil fertility evaluating device described below and the soil fertility evaluating method described above can be referred to correspondingly.

Fig. 14 is a schematic structural view of a soil fertility evaluating apparatus according to an embodiment of the present invention, as shown in fig. 14, the apparatus includes:

the obtaining module 141 is configured to obtain detection data of each soil index of soil to be evaluated;

an index quantitative score calculation module 142, configured to calculate, according to the detection data of each soil index, a score function corresponding to each soil index to obtain an index quantitative score corresponding to each soil index;

the fertility score calculating module 143 is configured to calculate a comprehensive fertility score of the soil to be evaluated according to the index quantitative score corresponding to each soil index;

the grading function corresponding to the pH value is obtained by performing mathematical fitting construction according to the optimal growth pH range and the growth stress pH critical point of the crop growth;

the scoring functions respectively corresponding to the available phosphorus, the quick-acting potassium and the medium trace elements are obtained by mathematical fitting construction according to the respective corresponding crop growth suitable ranges and the nutrient absorption antagonistic effect ranges;

the nutrient absorption antagonistic effect range is an interval range formed by a data detection confidence upper limit value and an upper limit value of the crop growth suitable range; the data detection confidence upper limit value is determined based on the sample accumulation probability corresponding to a plurality of sample detection data.

The soil fertility evaluation device further includes:

constructing and obtaining a piecewise function of each medium and trace element based on the crop growth suitable range and the nutrient absorption antagonistic effect range of the medium and trace elements;

and forming a grading function of the medium trace elements based on each medium trace element segmentation function.

The soil fertility evaluation device further includes:

the soil indexes at least comprise organic matters, ammonium nitrogen and nitrate nitrogen;

the medium trace elements comprise at least one of available calcium, available magnesium, available sulfur, available iron, available manganese, available copper, available zinc and available boron.

The soil fertility evaluation device further includes:

calculating target cumulative probability distribution respectively corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen according to sample detection data respectively corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen;

and respectively constructing and obtaining scoring functions respectively corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen based on turning points respectively corresponding to the organic matter, the ammonium nitrogen and the nitrate nitrogen.

It should be noted that, the apparatus provided in the embodiment of the present invention can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.

Fig. 15 is a schematic structural diagram of an electronic device provided in the present invention, and as shown in fig. 15, the electronic device may include: a processor (processor) 151, a memory (memory) 152, a communication Interface (Communications Interface) 153 and a communication bus 154, wherein the processor 151, the memory 152 and the communication Interface 153 are configured to communicate with each other via the communication bus 154. Processor 151 may invoke logic instructions in memory 152 to perform a soil fertility assessment method comprising: acquiring detection data of each soil index of soil to be evaluated; according to the detection data of each soil index, respectively calculating to obtain an index quantification score corresponding to each soil index by using a scoring function corresponding to each soil index; calculating to obtain a comprehensive fertility score of the soil to be evaluated according to the index quantitative score corresponding to each soil index; wherein each soil index at least comprises pH, available phosphorus, quick-acting potassium and medium trace elements; the grading function corresponding to the pH value is obtained by performing mathematical fitting construction according to the optimal growth pH range and the growth stress pH critical point of the crops; the scoring functions respectively corresponding to the available phosphorus, the quick-acting potassium and the medium trace elements are obtained by mathematical fitting construction according to the respective corresponding crop growth suitable ranges and the nutrient absorption antagonistic effect ranges; the nutrient absorption antagonistic effect range is an interval range formed by a data detection confidence upper limit value and an upper limit value of the crop growth suitable range; the data detection confidence upper limit value is determined based on the sample accumulation probability corresponding to a plurality of sample detection data.

Furthermore, the logic instructions in the memory 152 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.

In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the soil fertility assessment method provided by the above methods, the method comprising: acquiring detection data of each soil index of soil to be evaluated; according to the detection data of each soil index, respectively calculating to obtain an index quantification score corresponding to each soil index by using a scoring function corresponding to each soil index; according to the index quantitative score corresponding to each soil index, calculating to obtain the comprehensive fertility score of the soil to be evaluated; wherein each soil index at least comprises pH, available phosphorus, quick-acting potassium and medium trace elements; the grading function corresponding to the pH value is obtained by performing mathematical fitting construction according to the optimal growth pH range and the growth stress pH critical point of the crops; the scoring functions respectively corresponding to the available phosphorus, the quick-acting potassium and the medium trace elements are obtained by mathematical fitting construction according to the respective corresponding crop growth suitable ranges and the nutrient absorption antagonistic effect ranges; the nutrient absorption antagonistic effect range is an interval range formed by a data detection confidence upper limit value and an upper limit value of the crop growth suitable range; the data detection confidence upper limit value is determined based on the sample accumulation probability corresponding to a plurality of sample detection data.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on the understanding, the above technical solutions substantially or otherwise contributing to the prior art may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the various embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A soil fertility evaluation method is characterized by comprising the following steps:

acquiring detection data of each soil index of soil to be evaluated;

2. A soil fertility evaluation method according to claim 1, wherein the scoring function of pH is constructed based on the following steps:

determining the optimal growth pH ranges and growth stress pH critical points corresponding to the pH values of different crops;

3. The soil fertility evaluation method according to claim 1, wherein the scoring function of available phosphorus is constructed based on the following steps:

4. The soil fertility evaluation method according to claim 1, wherein the scoring function of the rapidly-acting potassium is constructed based on the following steps:

forming a scoring function for the rapid-acting potassium based on each of the rapid-acting potassium piecewise functions.

5. The soil fertility evaluation method according to claim 1, wherein the scoring function of the medium trace elements is constructed based on the following steps:

6. The soil fertility evaluation method according to claim 5, wherein the medium trace elements include at least one of available calcium, available magnesium, available sulfur, available iron, available manganese, available copper, available zinc, and available boron.

7. The soil fertility evaluation method according to claim 1, wherein the soil index includes at least organic matter, ammonium nitrogen, and nitrate nitrogen;

8. A soil fertility evaluation device, comprising:

the acquisition module is used for acquiring detection data of each soil index of the soil to be evaluated;

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements the soil fertility assessment method according to any one of claims 1 to 7 when executing the program.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the soil fertility assessment method according to any one of claims 1 to 7.