Soil nutrient detection method and system for cultivating layer construction in rocky mountainous areas

Abstract

The present invention relates to the field of cultivated land soil detection, and specifically to a soil nutrient detection method and system for constructing a plough layer in a rocky mountainous area. The method first obtains the soil water content of different cultivated land areas after irrigation at each moment within a preset time period, as well as the content data of each effective state ion in different cultivated land areas. According to the change in soil water content of the target cultivated land area at each moment, a water loss coefficient is obtained. According to the difference between the content data of each effective state ion in the target cultivated land area and the standard content, an ion loss coefficient is obtained. The water loss coefficient and the ion loss coefficient of the target cultivated land area are combined to obtain a soil nutrient loss coefficient. Based on the soil nutrient loss coefficient, the detection time of the soil nutrients in the target cultivated land area is adjusted to obtain the optimal detection time. The present invention can select a suitable detection time to detect the soil nutrient conditions of cultivated land in a rocky mountainous area, thereby improving the accuracy of soil nutrient detection.

Description

Technical Field

[0001] The present invention relates to the field of cultivated land soil detection, and in particular to a soil nutrient detection method and system for constructing a cultivated layer in a rocky mountainous area. Background Art

[0002] The construction of the arable layer in rocky mountainous areas refers to the artificial creation or improvement of a layer of arable soil suitable for crop growth in rocky mountainous areas where the original soil layer is thin, there are many gravels and low fertility through artificial measures. It is necessary to conduct advance testing of the moisture content and soil nutrients such as various nutrient cations in the arable land areas of rocky mountainous areas in order to better effectively construct the arable layer for crop growth in rocky mountainous areas and ensure the efficient use of land resources.

[0003] In related technologies, the soil nutrient conditions of all cultivated land areas in rocky mountainous areas are usually tested at the same time point. However, due to the complex terrain of rocky mountainous areas, the different locations of different cultivated land areas have different topography, and the soil and rock structures of different cultivated land areas are different, resulting in large differences in the retention of soil nutrients such as moisture and various nutritional cations in the soil of different cultivated land areas. As a result, the existing methods are unable to select the appropriate detection time to detect the soil nutrient conditions of all cultivated land areas in rocky mountainous areas, thereby reducing the accuracy of soil nutrient detection. Summary of the Invention

[0004] In order to solve the technical problem that the existing methods cannot select the appropriate detection time to detect the soil nutrient conditions of all cultivated land areas in soil and rocky mountainous areas, thereby reducing the accuracy of soil nutrient detection, the purpose of the present invention is to provide a soil nutrient detection method and system for arable layer construction in soil and rocky mountainous areas. The technical solutions adopted are as follows:

[0005] The present invention proposes a soil nutrient detection method for constructing a plough layer in a soil-rocky mountainous area, the method comprising:

[0006] Obtain the soil moisture content of different cultivated land areas after irrigation at each moment within a preset time period, as well as the content data of each available ion in different cultivated land areas;

[0007] Taking any cultivated land area as a target cultivated land area, and obtaining the water loss coefficient of the target cultivated land area according to the change of the soil moisture content of the target cultivated land area at each time;

[0008] According to the difference between the content data of each effective ion in the target cultivated land area and the standard content, the ion loss coefficient of the target cultivated land area is obtained; and the soil nutrient loss coefficient of the target cultivated land area is obtained by combining the water loss coefficient and the ion loss coefficient of the target cultivated land area;

[0009] Based on the soil nutrient loss coefficient of the target cultivated land area, the detection time of the soil nutrients in the target cultivated land area is adjusted to obtain the optimal detection time of the target cultivated land area.

[0010] Furthermore, obtaining the water loss coefficient of the target cultivated land area includes:

[0011] Performing linear fitting on the soil moisture content of the target cultivated land area at all times to obtain a moisture content change trend value of the target cultivated land area;

[0012] Obtaining a degree of change in the water content of the target cultivated land area according to a difference in the soil water content between the last moment and each other moment before the last moment of the target cultivated land area;

[0013] The water content change trend value and the water content change degree are integrated and normalized to obtain the water loss coefficient of the target cultivated land area.

[0014] Furthermore, obtaining the water content change trend value of the target cultivated land area includes:

[0015] The data points of the target cultivated land area at each moment and the soil moisture content at each moment are mapped to the coordinate system, and the least squares method is used to perform a straight line fitting on all the data points to obtain the moisture content fitting line of the target cultivated land area;

[0016] The absolute value of the slope of the moisture content fitting line is used as the moisture content change trend value of the target cultivated land area.

[0017] Furthermore, obtaining the degree of change in the water content of the target cultivated land area includes:

[0018] The difference in soil moisture between each other moment before the last moment of the target cultivated land area and the last moment is used as the moisture content difference between the last moment and each other moment of the target cultivated land area;

[0019] The average of the moisture content difference values between the last moment and all other moments of the target cultivated land area is taken as the degree of moisture content change of the target cultivated land area.

[0020] Furthermore, obtaining the ion loss coefficient of the target cultivated land area includes:

[0021] The difference between the standard content of each effective ion in the target cultivated land area and the content data is used as the content deviation value of each effective ion in the target cultivated land area;

[0022] The overall level of the content deviation values of all available ions in the target cultivated land area is analyzed to obtain the ion loss coefficient of the target cultivated land area.

[0023] Furthermore, analyzing the overall level of the content deviation values of all available ions in the target cultivated land area to obtain the ion loss coefficient of the target cultivated land area includes:

[0024] The average value of the content deviation values of all effective ions in the target cultivated land area is normalized to obtain the ion loss coefficient of the target cultivated land area.

[0025] Furthermore, obtaining the soil nutrient loss coefficient of the target cultivated land area includes:

[0026] The product value of the water loss coefficient and the ion loss coefficient of the target cultivated land area is normalized to obtain the soil nutrient loss coefficient of the target cultivated land area.

[0027] Furthermore, the optimal detection time for obtaining the target cultivated land area includes:

[0028] Performing negative correlation normalization processing on the soil nutrient loss coefficient of the target cultivated land area to obtain a detection time adjustment parameter of the target cultivated land area;

[0029] Based on the detection time adjustment parameters of the target cultivated land area, the preset detection time is adjusted to obtain the optimal detection time for the target cultivated land area.

[0030] Furthermore, the adjusting the preset detection time based on the detection time adjustment parameter of the target cultivated land area to obtain the optimal detection time of the target cultivated land area includes:

[0031] Based on the calculation formula of the optimal detection time, the optimal detection time of the target cultivated land area is obtained. The calculation formula of the optimal detection time is:

[0032]

[0033] in, Indicates the optimal detection time for the target cultivated land area; represents the detection time adjustment parameter of the target cultivated land area; Indicates the preset detection time.

[0034] The present invention also proposes a soil nutrient detection system for constructing a plough layer in a rocky mountainous area. The system includes a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, it implements any one of the steps of a soil nutrient detection method for constructing a plough layer in a rocky mountainous area.

[0035] The present invention has the following beneficial effects:

[0036] The present invention takes into account that the existing methods cannot select the appropriate detection time to detect the soil nutrient conditions of all cultivated land areas in the earth and rock mountain area, which reduces the accuracy of soil nutrient detection. Therefore, the soil moisture content of different cultivated land areas after irrigation at each moment in the preset time period, as well as the content data of each effective state ion in different cultivated land areas are first obtained. Taking into account the complex terrain of the earth and rock mountain area and the different locations of different cultivated land areas, the moisture in the soil of the cultivated land areas with high terrain will flow to the cultivated land areas with low terrain, resulting in a more obvious change trend in the moisture content of the cultivated land areas with high terrain. Therefore, the soil moisture of the target cultivated land area due to terrain reasons can be reflected first by obtaining the water loss coefficient. Loss situation: Taking into account that the cultivated soil layer in the cultivated land area with soil-rock structure is thin, the effective ions in the soil will penetrate downward, which will reduce the content of effective ions in the soil. Therefore, the ion loss coefficient can be obtained to reflect the loss of nutrient cations in the soil of the target cultivated land area due to the soil-rock structure. Therefore, for cultivated land areas with more serious soil nutrient loss, nutrient testing needs to be carried out earlier. Therefore, based on the soil nutrient loss coefficient of the target cultivated land area, the soil nutrient testing time of the target cultivated land area can be adjusted to obtain the optimal testing time for the target cultivated land area, thereby ensuring the timing of soil nutrient testing in the cultivated land area and improving the accuracy of nutrient testing. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0038] Figure 1 A flow chart of a soil nutrient detection method for constructing a plough layer in a rocky mountainous area provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0039] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation method, structure, characteristics and effects of a soil nutrient detection method and system for constructing a plough layer in a soil and rocky mountainous area proposed by the present invention. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics of one or more embodiments may be combined in any suitable form.

[0040] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0041] The following describes in detail a method and system for detecting soil nutrients for constructing a tillage layer in a rocky mountainous area provided by the present invention with reference to the accompanying drawings.

[0042] See also Figure 1 , which shows a flow chart of a soil nutrient detection method for constructing a plough layer in a rocky mountainous area provided by one embodiment of the present invention, the method comprising:

[0043] Step S1: obtaining the soil moisture content of different cultivated land areas after irrigation at each moment within a preset time period, as well as the content data of each available ion in different cultivated land areas.

[0044] The embodiment of the present invention first samples different cultivated land areas in the soil and rocky mountainous area, and deploys soil moisture sensors or moisture detectors in each cultivated land area. Then, each cultivated land area is irrigated so that the loss of water and nutrient cations in the soil of each cultivated land area can be better analyzed later. Then, soil moisture sensors or moisture detectors are used to measure and collect the soil moisture content of different cultivated land areas at each moment within a preset time period. The preset time period is set to 30 minutes, and the specific value of the preset time period can also be set by the implementer according to the specific real-time scenario, which is not limited here.

[0045] In cultivated land in rocky mountainous areas, in addition to the easy loss of water in the soil, effective ions such as potassium ions, calcium ions, magnesium ions and ammonium ions in the soil will also be lost. Therefore, the embodiment of the present invention also needs to use chemical reagents (such as DTPA, EDTA, acetic acid, etc.) to extract the effective ions in the soil of each cultivated area, and use detection equipment such as atomic absorption spectrometers to measure the content data of various effective ions in the soil of each cultivated area.

[0046] Step S2: taking any cultivated land area as the target cultivated land area, and obtaining the water loss coefficient of the target cultivated land area according to the change of soil moisture content of the target cultivated land area at each moment.

[0047] Since different cultivated land areas are located in different terrains and the soil in different cultivated land areas has different degrees of difficulty in retaining water and available ions, it is necessary to analyze any cultivated land area. First, any cultivated land area is taken as the target cultivated land area. Taking into account the complex terrain of the soil and rocky mountainous area and the different terrains of different cultivated land areas, the moisture in the soil of the high-lying cultivated land area will flow to the low-lying cultivated land area, resulting in a more obvious change trend in the water content of the high-lying cultivated land area, which in turn leads to more serious water loss in the high-lying cultivated land area. Therefore, the changes in soil moisture content in the target cultivated land area at each time can be analyzed, and the obtained water loss coefficient can reflect the soil moisture loss of the target cultivated land area due to terrain reasons. The larger the water loss coefficient, the more serious the water loss in the target cultivated land area. Subsequently, based on the water loss coefficient, the nutrient loss in the target cultivated land area can be accurately calculated and analyzed.

[0048] Preferably, in one embodiment of the present invention, the method for obtaining the water loss coefficient of the target cultivated land area specifically includes:

[0049] First, a linear fitting is performed on the soil moisture content of the target cultivated land area at all times to obtain the moisture content change trend value of the target cultivated land area. The larger the moisture content change trend value, the more obvious the soil moisture loss in the target cultivated land area, and thus the more serious the soil moisture loss in the target cultivated land area.

[0050] Preferably, in one embodiment of the present invention, the method for obtaining the water content change trend value of the target cultivated land area specifically includes:

[0051] The data points of each moment of the target cultivated land area and the soil moisture content at each moment are mapped to a coordinate system, wherein the horizontal axis of the coordinate system represents time and the vertical axis represents soil moisture content. The least squares method is used to perform straight line fitting on all the data points to obtain a moisture content fitting straight line of the target cultivated land area. In other embodiments of the present invention, other existing data fitting methods can also be used for straight line fitting, which is not limited or elaborated here.

[0052] Since the water in the target cultivated land area will flow to the area with relatively low terrain, the water content fitting line of the target cultivated land area shows a downward trend, and the steeper the water content fitting line, the more serious the water loss in the soil of the target cultivated land area. Therefore, the absolute value of the slope of the water content fitting line can be used as the water content change trend value of the target cultivated land area.

[0053] Then, based on the difference in soil moisture content between the last moment and each other moment before the last moment of the target cultivated land area, the degree of change in moisture content of the target cultivated land area is obtained. The greater the degree of change in moisture content, the greater the soil moisture content at other moments before the last moment compared to the last moment, which means that the soil moisture loss in the target cultivated land area is more serious.

[0054] Preferably, in one embodiment of the present invention, the method for obtaining the degree of change in the water content of the target cultivated land area specifically includes:

[0055] The difference in soil moisture content between each other moment before the last moment of the target cultivated land area and the last moment is taken as the moisture content difference value between the last moment and each other moment of the target cultivated land area, and the average of the moisture content difference values between the last moment and all other moments of the target cultivated land area is taken as the degree of moisture content change of the target cultivated land area.

[0056] Finally, the water content change trend value and the water content change degree are integrated and normalized, and the calculation results are limited to range, thereby obtaining the water loss coefficient of the target cultivated land area.

[0057] In the embodiment of the present invention, the combination of the water content change trend value and the water content change degree can be achieved by calculating the sum or product of the two, which is not limited here.

[0058] In one embodiment of the present invention, the normalization processing can be specifically, for example, maximum and minimum value normalization processing, and the normalization in subsequent steps can all adopt maximum and minimum value normalization processing. In other embodiments of the present invention, other normalization methods can be selected according to the specific range of numerical values, which will not be repeated here.

[0059] As an example, in one embodiment of the present invention, the expression of the water loss coefficient of the target cultivated land area can be specifically, for example, as follows:

[0060]

[0061] in, Indicates the water loss coefficient of the target cultivated land area; Indicates the trend value of water content change in the target cultivated land area; Indicates the target cultivated land area before the last moment Soil moisture content at other times; Indicates the soil moisture content of the target cultivated land area at the last moment; Indicates the last moment and the moment before the last moment of the target cultivated land area The difference in water content between other moments; Indicates the degree of change in water content in the target cultivated land area; Indicates the number of other moments before the last moment; Represents the normalization function, used for normalization processing.

[0062] At this point, the analysis of soil moisture loss in the target cultivated land area has been completed, and the moisture loss coefficient of the target cultivated land area has been obtained.

[0063] Step S3: According to the difference between the content data of each effective ion in the target cultivated land area and the standard content, the ion loss coefficient of the target cultivated land area is obtained; and the soil nutrient loss coefficient of the target cultivated land area is obtained by combining the water loss coefficient and the ion loss coefficient of the target cultivated land area.

[0064] In the cultivated land in the soil and rocky mountainous areas, in addition to the easy loss of water in the soil, the various effective ions in the soil will also be lost. Considering that the cultivated soil layer in the cultivated land area with soil and rock structure is thin, the effective ions in the surface layer of the soil will penetrate downward through the gaps between the soil and rock, resulting in a decrease in the content of effective ions in the surface layer of the soil, making the content data of each effective ion in the soil lower than the corresponding standard content. Therefore, the difference between the content data and the standard content of each effective ion in the target cultivated land area can be analyzed. The obtained ion loss coefficient reflects the loss of nutrient cations in the soil of the target cultivated land area due to the soil and rock structure. The larger the ion loss coefficient, the more serious the loss of effective ions in the soil of the target cultivated land area. Subsequently, based on the ion loss coefficient and combined with the ion loss coefficient, the nutrient loss of the target cultivated land area can be accurately calculated and analyzed.

[0065] Preferably, in one embodiment of the present invention, the method for obtaining the ion loss coefficient of the target cultivated land area specifically includes:

[0066] The difference between the standard content and content data of each effective ion in the target cultivated land area is taken as the content deviation value of each effective ion in the target cultivated land area. The larger the content deviation value, the lower the content of each effective ion in the target cultivated land area is relative to the standard content, and thus the more serious the loss of effective ions in the target cultivated land area is.

[0067] It should be noted that the standard content of available ions in the soil is known data, and the standard content of different available ions is different. For example, the standard content of potassium ions is usually 80~300 mg / kg, the standard content of magnesium ions is usually 50~300 mg / kg, and so on.

[0068] Then, the overall level of the content deviation values of all effective ions in the target cultivated land area is analyzed to obtain the ion loss coefficient of the target cultivated land area.

[0069] Preferably, in one embodiment of the present invention, the method for obtaining the ion loss coefficient of the target cultivated land area further includes:

[0070] The average value of the content deviation of all effective ions in the target cultivated land area is normalized, and the calculation results are limited to range, thereby obtaining the ion loss coefficient of the target cultivated land area.

[0071] As an example, in one embodiment of the present invention, the expression of the ion loss coefficient of the target cultivated land area can be specifically, for example, as follows:

[0072]

[0073] in, Indicates the ion loss coefficient of the target cultivated land area; Indicates the target cultivated land area Standard content of effective ions; Indicates the target cultivated land area The content data of effective ions; Indicates the target cultivated land area The content deviation value of the effective ion; Indicates the number of effective ion species; Represents the normalization function, used for normalization processing.

[0074] The larger the water loss coefficient and ion loss coefficient of the target cultivated land area, the greater the degree of nutrient loss in the soil of the target cultivated land area and the more obvious the soil nutrient loss. Therefore, the water loss coefficient and ion loss coefficient of the target cultivated land area can be combined to obtain the soil nutrient loss coefficient of the target cultivated land area. Subsequently, based on the soil nutrient loss coefficient, the soil nutrient detection time of the target cultivated land area can be adjusted to ensure the timing of soil nutrient detection in the target cultivated land area and improve the accuracy of nutrient detection.

[0075] Preferably, in one embodiment of the present invention, the method for obtaining the soil nutrient loss coefficient of the target cultivated land area specifically includes:

[0076] The product of the water loss coefficient and the ion loss coefficient of the target cultivated land area is normalized and the calculation result is limited to range, thereby obtaining the soil nutrient loss coefficient of the target cultivated land area.

[0077] As an example, in one embodiment of the present invention, the expression of the soil nutrient loss coefficient of the target cultivated land area can be specifically, for example, as follows:

[0078]

[0079] in, Indicates the soil nutrient loss coefficient of the target cultivated land area; Indicates the water loss coefficient of the target cultivated land area; Indicates the ion loss coefficient of the target cultivated land area; Represents the normalization function, used for normalization processing.

[0080] In other embodiments of the present invention, the sum of the water loss coefficient and the ion loss coefficient of the target cultivated land area may also be normalized to obtain the soil nutrient loss coefficient of the target cultivated land area, which is not limited here.

[0081] At this point, the analysis of soil nutrient loss in the target cultivated land area has been completed, and the soil nutrient loss coefficient of the target cultivated land area has been obtained.

[0082] Step S4: Based on the soil nutrient loss coefficient of the target cultivated land area, the soil nutrient detection time of the target cultivated land area is adjusted to obtain the optimal detection time of the target cultivated land area.

[0083] The larger the soil nutrient loss coefficient of the target cultivated land area, the greater the degree of nutrient loss in the soil of the target cultivated land area and the faster the nutrient loss rate. Therefore, it is necessary to test the soil nutrients of the target cultivated land area earlier to prevent excessive nutrient loss from causing inaccurate test results. Therefore, based on the soil nutrient loss coefficient of the target cultivated land area, the soil nutrient detection time of the target cultivated land area can be adjusted to obtain the optimal detection time of the target cultivated land area. Subsequently, the soil nutrients of the target cultivated land area can be tested at the optimal detection time to improve the accuracy of nutrient detection.

[0084] Preferably, in one embodiment of the present invention, the method for obtaining the optimal detection time of the target cultivated land area specifically includes:

[0085] The larger the soil nutrient loss coefficient is, the more necessary it is to conduct soil nutrient detection on the target cultivated land area in advance. Conversely, the soil nutrient detection on the target cultivated land area can be appropriately delayed. Therefore, the soil nutrient loss coefficient of the target cultivated land area can be negatively correlated and normalized to obtain the detection time adjustment parameter of the target cultivated land area. The larger the detection time adjustment parameter is, the more necessary it is to delay the detection time. Based on the detection time adjustment parameter of the target cultivated land area, the preset detection time is adjusted to obtain the optimal detection time of the target cultivated land area. The preset detection time is generally set to 24 to 48 hours after irrigation. In one embodiment of the present invention, the preset detection time is set to 24 hours after irrigation, that is, the value of the preset detection time is 24 hours.

[0086] In one embodiment of the present invention, the The function form realizes the normalization of negative correlation, where Represents the normalization function, used for normalization processing.

[0087] Preferably, in one embodiment of the present invention, the method for obtaining the optimal detection time of the target cultivated land area further comprises:

[0088] Based on the calculation formula of the optimal detection time, the optimal detection time of the target cultivated land area is obtained. The calculation formula of the optimal detection time is:

[0089]

[0090]

[0091] in, Indicates the optimal detection time for the target cultivated land area; represents the detection time adjustment parameter of the target cultivated land area; Indicates the preset detection time; Indicates the soil nutrient loss coefficient of the target cultivated land area; Represents the normalization function, used for normalization processing.

[0092] Among them, when When , it indicates that the soil nutrient loss in the target cultivated land area is serious. , the soil nutrient test of the target cultivated land area can be carried out at a later time than the preset test time. When , it indicates that the soil nutrient loss in the target cultivated land area is serious. , it is necessary to conduct soil nutrient testing on the target cultivated land area at an earlier time than the preset testing time.

[0093] The same method as above can be used to obtain the optimal detection time for each cultivated land area, and then soil nutrient detection can be carried out on the corresponding cultivated land area at the optimal detection time to improve the accuracy of the soil nutrient detection results.

[0094] One embodiment of the present invention provides a soil nutrient detection system for constructing a plough layer in a rocky mountainous area. The system includes a memory, a processor, and a computer program, wherein the memory is used to store the corresponding computer program, and the processor is used to run the corresponding computer program. When the computer program runs in the processor, it can implement the method described in steps S1 to S4.

[0095] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0096] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A soil nutrient detection method for constructing a plough layer in a rocky mountainous area, characterized in that: The method comprises: Obtain the soil moisture content of different cultivated land areas after irrigation at each moment within a preset time period, as well as the content data of each available ion in different cultivated land areas; Taking any cultivated land area as a target cultivated land area, and obtaining the water loss coefficient of the target cultivated land area according to the change of the soil moisture content of the target cultivated land area at each time; According to the difference between the content data of each effective ion in the target cultivated land area and the standard content, the ion loss coefficient of the target cultivated land area is obtained; and the soil nutrient loss coefficient of the target cultivated land area is obtained by combining the water loss coefficient and the ion loss coefficient of the target cultivated land area; Based on the soil nutrient loss coefficient of the target cultivated land area, the detection time of the soil nutrients in the target cultivated land area is adjusted to obtain the optimal detection time of the target cultivated land area.

2. The soil nutrient detection method for constructing a plough layer in a rocky mountainous area according to claim 1, characterized in that: The water loss coefficient of the target cultivated land area is obtained by: Performing linear fitting on the soil moisture content of the target cultivated land area at all times to obtain a moisture content change trend value of the target cultivated land area; Obtaining a degree of change in the water content of the target cultivated land area according to a difference in the soil water content between the last moment and each other moment before the last moment of the target cultivated land area; The water content change trend value and the water content change degree are integrated and normalized to obtain the water loss coefficient of the target cultivated land area.

3. The soil nutrient detection method for constructing a plough layer in a rocky mountainous area according to claim 2, characterized in that: The step of obtaining the water content change trend value of the target cultivated land area includes: The data points of the target cultivated land area at each moment and the soil moisture content at each moment are mapped to the coordinate system, and the least squares method is used to perform a straight line fitting on all the data points to obtain the moisture content fitting line of the target cultivated land area; The absolute value of the slope of the moisture content fitting line is used as the moisture content change trend value of the target cultivated land area.

4. The soil nutrient detection method for constructing a plough layer in a rocky mountainous area according to claim 2, characterized in that: The degree of change in the water content of the target cultivated land area is obtained by: The difference in soil moisture between each other moment before the last moment of the target cultivated land area and the last moment is used as the moisture content difference between the last moment and each other moment of the target cultivated land area; The average of the moisture content difference values between the last moment and all other moments of the target cultivated land area is taken as the degree of moisture content change of the target cultivated land area.

5. The soil nutrient detection method for constructing arable layer in soil and rocky mountainous areas according to claim 1, characterized in that: The method of obtaining the ion loss coefficient of the target cultivated land area includes: The difference between the standard content of each effective ion in the target cultivated land area and the content data is used as the content deviation value of each effective ion in the target cultivated land area; The overall level of the content deviation values of all available ions in the target cultivated land area is analyzed to obtain the ion loss coefficient of the target cultivated land area.

6. The soil nutrient detection method for constructing arable layer in soil and rocky mountainous areas according to claim 5, characterized in that: Analyzing the overall level of the content deviation values of all available ions in the target farmland area to obtain the ion loss coefficient of the target farmland area includes: The average value of the content deviation values of all effective ions in the target cultivated land area is normalized to obtain the ion loss coefficient of the target cultivated land area.

7. The soil nutrient detection method for constructing arable layer in rocky mountainous areas according to claim 1, characterized in that: The soil nutrient loss coefficient of the target cultivated land area is obtained by: The product value of the water loss coefficient and the ion loss coefficient of the target cultivated land area is normalized to obtain the soil nutrient loss coefficient of the target cultivated land area.

8. The soil nutrient detection method for constructing arable layer in soil and rocky mountainous areas according to claim 1, characterized in that: The optimal detection time for obtaining the target cultivated land area includes: Performing negative correlation normalization processing on the soil nutrient loss coefficient of the target cultivated land area to obtain a detection time adjustment parameter of the target cultivated land area; Based on the detection time adjustment parameters of the target cultivated land area, the preset detection time is adjusted to obtain the optimal detection time for the target cultivated land area.

9. The soil nutrient detection method for constructing arable layer in soil and rocky mountainous areas according to claim 8, characterized in that: The adjusting the preset detection time based on the detection time adjustment parameter of the target cultivated land area to obtain the optimal detection time of the target cultivated land area includes: Based on the calculation formula of the optimal detection time, the optimal detection time of the target cultivated land area is obtained. The calculation formula of the optimal detection time is: in, Indicates the optimal detection time for the target cultivated land area; represents the detection time adjustment parameter of the target cultivated land area; Indicates the preset detection time.

10. A soil nutrient detection system for constructing a plough layer in a rocky mountainous area, the system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 9 are implemented.

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