Soil monitoring method, device and system for cultivating fruit tree seedlings

Abstract

The present application relates to the field of soil monitoring technology, and specifically to a soil monitoring method, device and system for fruit tree seedling cultivation, the method comprising: obtaining the soil pH and conductivity of each sampling point in the fruit tree seedling cultivation area at each sampling time during the fruit tree seedling cultivation; constructing the soil pH instability, and then obtaining the soil joint influence, constructing the spatial variation coefficient of soil quality based on the difference in the joint influence of different sampling points, obtaining the soil quality change, and combining the fluctuation degree of the spatial variation coefficient to obtain the soil quality assessment value; using the soil quality assessment values ​​at all sampling times to predict the soil quality assessment value at the current time, and the soil quality assessment values ​​at the current time and all sampling times are fitted to obtain a soil quality monitoring change curve. The present application can improve the soil quality monitoring accuracy of fruit tree seedling cultivation.

Description

Technical Field

[0001] The present application relates to the technical field of soil monitoring, and in particular to a soil monitoring method, device and system for cultivating fruit tree seedlings. Background Art

[0002] At present, soil monitoring for fruit tree seedling cultivation mainly includes data sampling, data analysis and icon production, in order to extract credible, reliable and useful information, so as to provide strong support for soil improvement during the growth of fruit trees such as apple trees, pear and peach trees. Among them, data analysis is the core link of soil monitoring. Since the soil formation factors at different locations in the space for fruit tree seedling cultivation are different and are affected by fertilization factors, the soil quality in the space for fruit tree seedling cultivation has complex variation characteristics. At present, most of the data analysis links only analyze the influence characteristics and change characteristics of soil quality, and lack consideration of the variation characteristics of soil quality in the space for fruit tree seedling cultivation, so it is impossible to accurately monitor the soil quality of fruit tree seedling cultivation. Summary of the invention

[0003] In order to solve the above technical problems, the purpose of this application is to provide a soil monitoring method, device and system for fruit tree seedling cultivation. The technical solutions adopted are as follows:

[0004] In a first aspect, the present application provides a soil monitoring method for cultivating fruit tree seedlings, comprising the following steps:

[0005] Obtain soil data at each sampling point in the fruit tree seedling cultivation area at each sampling time during fruit tree seedling cultivation, including pH and conductivity;

[0006] Based on the analysis of the deviation of soil pH at each sampling point at each sampling time, the pH instability of the soil at each sampling point at each sampling time is constructed, and combined with the difference in soil conductivity between each sampling point at each sampling time and other sampling times, the joint influence of the soil at each sampling point at each sampling time is constructed.

[0007] Based on the differences in the joint influence between different sampling points at each sampling time, the spatial variation coefficient of soil quality at each sampling point at each sampling time was constructed, and then combined with the joint influence of all sampling points at each sampling time, the soil quality variation in the fruit seedling cultivation area at each sampling time was obtained;

[0008] Using the soil quality variation degree and the fluctuation degree of the spatial coefficient of variation of all sampling points at each sampling time, the soil quality assessment value of the fruit tree seedling cultivation area at each sampling time is obtained;

[0009] The soil quality assessment values ​​at all sampling times are used to predict the soil quality assessment value at the current time. The soil quality assessment values ​​at the current time and all sampling times are fitted to obtain the soil quality monitoring change curve.

[0010] Preferably, the expression of the acid-base instability of the soil at each sampling point at each sampling time is:

[0011] , where is the acid-base instability of the soil at the ith sampling point at the tth sampling time, is the element mean of the deviation feature vector of the i-th sampling point at the t-th sampling time, is the number of sampling moments, is the dtw distance between the deviation feature vector of the i-th sampling point at the t-th sampling time and the deviation feature vector at the k-th sampling time.

[0012] Preferably, the construction of the deviation characteristic vector further includes: arranging the absolute values ​​of the pH differences between each sampling point at each sampling moment and other sampling moments in chronological order to form a vector as the deviation characteristic vector of the pH of each sampling point at each sampling moment.

[0013] Preferably, the process of obtaining the joint influence of the soil at each sampling point at each sampling time is:

[0014] The conductivity anomaly of the soil at each sampling point at each sampling time is calculated according to the difference between the soil conductivity of each sampling point at each sampling time and other sampling times, and the product of the acid-base instability and the conductivity anomaly is used as the joint influence of the soil quality of each sampling point at each sampling time.

[0015] Preferably, the conductivity anomaly of the soil at each sampling point at each sampling moment is further obtained by taking the average of the absolute values ​​of the conductivity differences between each sampling point at each sampling moment and all other sampling moments, and recording it as the conductivity anomaly of the soil at each sampling point at each sampling moment.

[0016] Preferably, the spatial variation coefficient of soil quality at each sampling point at each sampling time is the average of the absolute values ​​of the differences between the corresponding joint influences of each sampling point and all other sampling points at each sampling time.

[0017] Preferably, the expression of the soil quality variation degree in the fruit tree seedling cultivation area at each sampling time is:

[0018] , where is the soil quality change degree of the fruit tree seedling cultivation area at the tth sampling moment, is the number of sampling points in the fruit tree seedling cultivation area, are the spatial variation weight and joint influence of soil quality at the ith sampling point at the tth sampling time, respectively. The spatial variation weight is the normalized result of the spatial variation coefficient.

[0019] Preferably, the expression of the soil quality assessment value of the fruit tree seedling cultivation area at each sampling time is: , where are the soil quality assessment value and soil quality change degree of the fruit tree seedling cultivation area at the tth sampling time, is an exponential function with a natural constant as base, is the discrete coefficient of the spatial variation coefficient of all sampling points at the tth sampling time.

[0020] In a second aspect, an embodiment of the present application also provides a soil monitoring device for cultivating fruit seedlings, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above-mentioned methods when executing the computer program.

[0021] In a third aspect, an embodiment of the present application further provides a soil monitoring system for cultivating fruit tree seedlings, wherein a computer program is stored in the system, and when the computer program is executed by a processor, the steps of any one of the above-mentioned soil monitoring methods for cultivating fruit tree seedlings are implemented.

[0022] It can be seen from the above that the soil monitoring method, device and system for fruit tree seedling cultivation provided by the present application have at least the following beneficial effects:

[0023] The present application constructs acid-base instability by extracting the deviation characteristics of soil pH during the cultivation of fruit tree seedlings. The acid-base instability reflects the unstable characteristics of soil pH. At the same time, the greater the acid-base instability, the greater the impact on soil quality during the cultivation of fruit tree seedlings. It is used to improve the accuracy of the subsequent joint impact measurement of soil quality during the cultivation of fruit tree seedlings. Based on the acid-base instability of the soil and combined with the abnormal characteristics of soil conductivity, a joint impact degree is constructed. The joint impact degree characterizes the influence characteristics of changes in pH and conductivity in the soil for the cultivation of fruit tree seedlings on soil quality, and is used to more accurately measure the characteristics of soil quality changes.

[0024] The spatial variation characteristics of soil quality were analyzed based on the joint influence degree, and the spatial variation weight was constructed. The larger the spatial variation weight, the more the joint influence degree of the sampling point can reflect the unstable characteristics of land quality during the cultivation of fruit tree seedlings. Then, the spatial variation weight was used to extract the land quality change characteristics by weighted summation of the joint influence degree, and the soil quality change degree was obtained, which improved the depth and accuracy of the measurement of soil quality change degree during the cultivation of fruit tree seedlings.

[0025] Taking into account the temporal and spatial variation characteristics of soil quality for fruit seedling cultivation, the soil quality is evaluated through the soil quality change degree after deep analysis and combined with the discrete coefficient of spatial variation coefficient to obtain the soil quality assessment value. The exponential smoothing prediction algorithm is used to predict the soil quality assessment value at the current moment. The soil quality monitoring change curve is obtained by plotting the change curve of the soil quality monitoring sequence using MATLAB software, so as to achieve more accurate and intuitive monitoring of soil quality for fruit seedling cultivation. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 A flow chart of the steps of the soil monitoring method for fruit tree seedling cultivation provided in this application;

[0028] Figure 2 Schematic diagram of the soil quality monitoring change curve provided for this application. DETAILED DESCRIPTION

[0029] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the soil monitoring method, device and system for fruit tree seedling cultivation proposed in the present application, its specific implementation method, structure, features and effects are described in detail as follows in combination with the accompanying drawings and preferred embodiments. 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 in one or more embodiments may be combined in any suitable form.

[0030] Unless otherwise specified and limited, terms such as "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a circuit structure, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such articles or devices. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the article or device including the element. In addition, the term "and\or" used herein includes any and all combinations of one or more related listed items. All technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of this application.

[0031] The specific scheme of the soil monitoring method, device and system for cultivating fruit seedlings provided by the present application is described in detail below with reference to the accompanying drawings.

[0032] See also Figure 1 , which shows a flow chart of the steps of a soil monitoring method for cultivating fruit tree seedlings provided by an embodiment of the present application, comprising the following steps:

[0033] Step 1: Obtain soil data of each sampling point in the fruit tree seedling cultivation area at each sampling time during fruit tree seedling cultivation, including pH and electrical conductivity.

[0034] The purpose of this embodiment is to consider the complex variation characteristics of soil quality in the fruit tree seedling cultivation space during the analysis of the influencing characteristics and variation characteristics of soil quality, so as to more accurately monitor the soil quality of fruit tree seedling cultivation.

[0035] During the cultivation of fruit tree seedlings, a sampling point is set in the middle of every two adjacent fruit trees in each row of fruit trees. The number of fruit trees in each row is equal. In this embodiment, there are M rows of fruit trees in the fruit tree seedling cultivation area, and there are N trees in each row.

[0036] The soil data of each sampling point is acquired in real time through a soil detection sensor group, wherein the soil detection sensor group includes a pH sensor and a soil conductivity sensor. The soil data includes soil pH value, i.e., pH value, and soil conductivity. In this embodiment, the sampling time interval of the soil data is 10 minutes.

[0037] In this embodiment, soil data of each sampling point within one week before the current moment is obtained. In order to avoid the impact of different dimensions of data on soil quality monitoring in subsequent fruit tree seedling cultivation, the soil pH value and soil conductivity of each sampling point are normalized to obtain the pH and conductivity of each sampling point after normalization. Among them, the specific process of range normalization is an existing well-known technology and will not be repeated in this embodiment. In actual application scenarios, the implementer can also use other normalization methods to normalize the collected data.

[0038] Step 2: Based on the analysis of the deviation of soil pH at each sampling point at each sampling time, the pH instability of the soil at each sampling point at each sampling time is constructed, and combined with the difference in soil conductivity between each sampling point at each sampling time and other sampling times, the joint influence of the soil at each sampling point at each sampling time is constructed.

[0039] Normally, during the cultivation of fruit tree seedlings, an appropriate amount of organic matter can improve the structure of the soil and enhance the stability of the soil, which is beneficial to improving the stress resistance of fruit trees such as apple trees, pear trees, and peach trees. However, due to improper fertilization, environmental pollution, soil degradation and other factors such as warming, it is easy to cause unstable fluctuations in soil pH and soil conductivity, thus affecting the soil quality and the growth of fruit tree seedlings.

[0040] In order to more accurately measure the instability of soil characteristics and further evaluate the soil quality during the cultivation of fruit tree seedlings, in this embodiment, the changes in soil pH at the same sampling point at different sampling times are analyzed. Specifically, the absolute values ​​of the pH difference between each sampling point at each sampling moment and other sampling moments are arranged in chronological order to form a vector, which is used as the deviation characteristic vector of the pH of each sampling point at each sampling moment. Specifically, the absolute values ​​of the pH difference between the tth sampling moment at the i-th sampling point and other sampling moments are arranged in chronological order to form a vector, which is recorded as the deviation characteristic vector of the tth sampling moment at the i-th sampling point. The larger the absolute value of the pH difference between each sampling moment and other sampling moments, the easier it is for the actual soil pH value in the fruit seedling cultivation environment to deviate from the normal soil pH value range; the deviation characteristic vector reflects the change of the pH characteristic difference between the sampling moment and all other sampling moments. If the difference between the pH deviation characteristic vectors between the sampling moment and other sampling moments is larger, and the average deviation level of the pH deviation characteristic vector at the sampling moment is higher, it can be explained that the stable characteristics of the soil pH at the sampling moment are smaller, and the soil pH instability is more likely to occur, which affects the soil quality during the growth of fruit seedlings.

[0041] Therefore, according to the difference between the deviation feature vector of the sampling point at each sampling time and other sampling times, and the average level of the elements in the deviation feature vector of the sampling point at each sampling time, the acid-base instability of the soil at each sampling point at each sampling time is calculated. In this embodiment, the specific calculation formula is:

[0042] , where is the acid-base instability of the soil at the ith sampling point at the tth sampling time, is the element mean of the deviation feature vector of the i-th sampling point at the t-th sampling time, is the number of sampling moments, is the dtw distance between the deviation feature vector of the i-th sampling point at the t-th sampling moment and the deviation feature vector at the k-th sampling moment, wherein the calculation of the dtw distance is a well-known technique and the specific process is not repeated here. The larger the dtw distance is, the greater the difference between the deviation feature of the pH value at the sampling moment and the deviation feature of the pH value at other sampling moments is. At the same time, the larger the mean value of the elements in the deviation feature vector is, the greater the overall deviation of the pH value at the sampling moment compared with the pH value at other sampling moments is, and the more significant the unstable feature of the pH value of the soil at the sampling moment is, the greater the pH instability is, and the greater the influence of the pH value change at the sampling point on the soil quality is.

[0043] In the cultivation of fruit seedlings, acidic soil contains more acidic ions, which will increase the electrical conductivity of the soil; alkaline soil contains more alkaline ions, which will reduce the electrical conductivity of the soil. The unstable changes in pH can easily cause abnormal changes in soil conductivity, making the combined impact on soil quality greater and less conducive to the cultivation of fruit seedlings.

[0044] The abnormal change phenomenon of soil conductivity at each sampling point is analyzed, and the average value of the absolute value of the conductivity difference between each sampling point and all other sampling points is taken as the conductivity abnormality of the soil at each sampling point at each sampling point. Specifically, in this embodiment, the absolute value of the difference between the conductivity of the i-th sampling point at the t-th sampling time and the conductivity of the i-th sampling point at all other sampling times is calculated, and then the average value is taken, which is recorded as the conductivity abnormality of the soil at the i-th sampling point at the t-th sampling time. The greater the conductivity abnormality, the higher the abnormal change of the soil conductivity at the sampling time compared with the soil conductivity at other sampling times, which to a certain extent indicates that the impact on soil quality at this time is greater.

[0045] Furthermore, the combined influence of the soil quality at each sampling point at each sampling time is calculated based on the acid-base instability and the conductivity anomaly. Specifically, in this embodiment, the product of the acid-base instability and the conductivity anomaly of the soil at each sampling point at each sampling time is recorded as the combined influence of the soil quality at each sampling point at each sampling time. The combined influence characterizes the influence of the changes in pH and conductivity in the soil for cultivating fruit seedlings on the soil quality. The greater the combined influence, to a certain extent, it indicates that the combined influence on the soil quality at this time when cultivating fruit seedlings is greater, and the less conducive it is to the cultivation of fruit seedlings.

[0046] Step 3: Based on the differences in the joint influence between different sampling points at each sampling time, the spatial variation coefficient of soil quality at each sampling point at each sampling time is constructed, and then combined with the joint influence of all sampling points at each sampling time, the soil quality variation degree of the fruit seedling cultivation area at each sampling time is obtained.

[0047] Generally speaking, due to the different soil formation factors at different locations in the space where fruit seedlings are cultivated and the influence of fertilization factors, the soil quality in the time and space of fruit seedling cultivation will have complex spatiotemporal variation characteristics. The greater the variation characteristics of soil quality between different sampling points, the more it can reflect the greater differences in soil quality in the land area where fruit seedlings are cultivated, making it impossible to guarantee the healthy growth of every cultivated fruit tree.

[0048] Furthermore, for each sampling moment, the absolute value of the difference between the combined influence of the ith sampling point and all other sampling points at the tth sampling moment was calculated, and the mean of all absolute values ​​was recorded as the spatial variation coefficient of soil quality at the ith sampling point at the tth sampling moment. The larger the spatial variation coefficient, the greater the difference in soil quality between the sampling point and other sampling points at this time, the greater the influence of external factors on the soil quality of the sampling point, and the easier it is to affect the cultivation of fruit seedlings.

[0049] Considering the variation characteristics of soil quality in space during the cultivation of fruit tree seedlings, the accuracy of subsequent soil quality monitoring is improved. In this embodiment, the spatial variation coefficient of each sampling point at each sampling time is normalized, and the result after normalization is used as the spatial variation weight of each sampling point at each sampling time. The larger the spatial variation weight, the more the joint influence of the sampling point at this time can reflect the unstable characteristics of land quality during the cultivation of fruit tree seedlings. Among them, there are many normalization methods, which can be selected by the implementer. In this embodiment, the exponential normalization method is adopted. The specific normalization process is a prior art and will not be repeated in this embodiment.

[0050] Therefore, in this embodiment, the soil quality variation degree of the fruit tree seedling cultivation area at the t-th sampling time is calculated according to the spatial variation weight combined with the joint influence. In this embodiment, the specific calculation formula is:

[0051] , where is the soil quality change degree of the fruit tree seedling cultivation area at the tth sampling moment, is the number of sampling points in the fruit tree seedling cultivation area, is the spatial variation weight of soil quality at the ith sampling point at the tth sampling time, is the joint influence of soil quality at the i-th sampling point at the t-th sampling time. The greater the spatial variation weight of the sampling point in the fruit seedling cultivation area, the more accurately the joint influence of the sampling point can reflect the unstable characteristics of land quality during fruit seedling cultivation. The spatial variation weight is used to extract the land quality change characteristics by weighted summation of the joint influence, and the depth and accuracy of the soil quality change measurement during fruit seedling cultivation are improved. The greater the soil quality change, the more significant the unstable characteristics of land quality during fruit seedling cultivation, and the more unfavorable it is for the growth of fruit seedlings.

[0052] Step 4: Using the soil quality variability and the degree of fluctuation of the spatial coefficient of variation of all sampling points at each sampling time, obtain the soil quality assessment value of the fruit seedling cultivation area at each sampling time.

[0053] Furthermore, the soil quality of fruit seedling cultivation was monitored and evaluated. The greater the variability of soil quality, the more likely the soil quality is to become unstable due to external factors, which is less conducive to the growth of fruit seedlings. At this time, the soil quality is poor. At the same time, the higher the discrete level of the spatial variation weights of different sampling points in the fruit seedling cultivation area, the higher the level of spatial variability of soil quality at different sampling points, and the more likely it is to be affected by unreasonable fertilization factors, resulting in unstable soil quality in the fruit seedling cultivation area.

[0054] Therefore, in this embodiment, according to the discrete situation of the spatial variation coefficient of all sampling points at each sampling time, combined with the soil quality change degree, the soil quality assessment value of the fruit tree seedling cultivation area at each sampling time is calculated. In this embodiment, the specific calculation formula is:

[0055] , where is the soil quality assessment value of the fruit tree seedling cultivation area at the tth sampling moment, is an exponential function with a natural constant as base, is the discrete coefficient of the spatial coefficient of variation of all sampling points at the t-th sampling moment, where the calculation of the discrete coefficient is a well-known technique and the specific process is not repeated here. The soil quality variability and the discrete coefficient of the spatial coefficient of variation are both inversely proportional to the soil quality assessment value. Considering the temporal and spatial variation characteristics of the soil quality of fruit tree seedlings, the soil quality is assessed by combining the soil quality variability after deep analysis with the discrete coefficient of the spatial coefficient of variation to obtain the soil quality assessment value, so as to achieve more accurate monitoring of the soil quality of fruit tree seedlings.

[0056] Step 5: Use the soil quality assessment values ​​at all sampling times to predict the soil quality assessment value at the current time. The soil quality assessment values ​​at the current time and all sampling times are fitted to obtain the soil quality monitoring change curve.

[0057] This embodiment uses an exponential smoothing prediction algorithm to monitor the soil quality of fruit tree seedlings, and predicts the soil quality evaluation value at the current moment through the soil quality evaluation values ​​at all sampling moments. Preferably, in this embodiment, the soil quality evaluation values ​​at all sampling moments are input into the exponential smoothing prediction algorithm in a sequence composed of ascending time order. In this embodiment, the value of the smoothing coefficient in the algorithm is 0.3, and the exponential smoothing prediction algorithm outputs the soil quality evaluation value predicted at the current moment, wherein the exponential smoothing prediction algorithm is a well-known technology, and the specific process will not be repeated.

[0058] The soil quality evaluation values ​​at all sampling moments and the soil quality evaluation values ​​predicted at the current moment are sequenced in chronological order, which is recorded as a soil quality monitoring sequence, and a soil quality monitoring change curve is obtained by fitting. In this embodiment, the soil quality monitoring change curve is obtained by plotting the change curve of the soil quality monitoring sequence using MATLAB software. Specifically, the soil quality monitoring change curve schematic diagram in this embodiment is shown in FIG. Figure 2 As shown, the changes in soil quality can be analyzed more intuitively, providing strong support for subsequent soil improvement during fruit tree growth.

[0059] Based on the same inventive concept as the above method, an embodiment of the present application also provides a soil monitoring device for cultivating fruit seedlings, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned soil monitoring methods for cultivating fruit seedlings are implemented.

[0060] In addition, an embodiment of the present application also provides a soil monitoring system for cultivating fruit tree seedlings, wherein a computer program is stored in the system, and when the computer program is executed by a processor, the steps of any one of the above-mentioned soil monitoring methods for cultivating fruit tree seedlings are implemented.

[0061] It is to be understood that the sequence of the embodiments of the present application described above is for description only and does not represent the advantages and disadvantages of the embodiments. The above describes specific embodiments of the present specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0062] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0063] The above content is only an implementation method of the present application and is not intended to limit the scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly used in other related technical fields, are also included in the protection scope of the present application.

Claims

1. A soil monitoring method for cultivating fruit tree seedlings, characterized in that: The following steps are involved: Obtain soil data at each sampling point in the fruit tree seedling cultivation area at each sampling time during fruit tree seedling cultivation, including pH and conductivity; Based on the analysis of the deviation of soil pH at each sampling point at each sampling time, the pH instability of the soil at each sampling point at each sampling time is constructed, and combined with the difference in soil conductivity between each sampling point at each sampling time and other sampling times, the joint influence of the soil at each sampling point at each sampling time is constructed. Based on the differences in the joint influence between different sampling points at each sampling time, the spatial variation coefficient of soil quality at each sampling point at each sampling time was constructed, and then combined with the joint influence of all sampling points at each sampling time, the soil quality variation in the fruit seedling cultivation area at each sampling time was obtained; Using the soil quality variation degree and the fluctuation degree of the spatial coefficient of variation of all sampling points at each sampling time, the soil quality assessment value of the fruit tree seedling cultivation area at each sampling time is obtained; The soil quality assessment value at all sampling moments is used to predict the soil quality assessment value at the current moment, and the soil quality assessment values ​​at the current moment and all sampling moments are fitted to obtain a soil quality monitoring change curve; The expression of the acid-base instability of the soil at each sampling point at each sampling time is: , where is the acid-base instability of the soil at the ith sampling point at the tth sampling time, is the element mean of the deviation feature vector of the i-th sampling point at the t-th sampling time, is the number of sampling moments, is the dtw distance between the deviation feature vector of the i-th sampling point at the t-th sampling time and the deviation feature vector at the k-th sampling time; The construction of the deviation feature vector further includes: arranging the absolute values ​​of the pH differences between each sampling point at each sampling moment and other sampling moments in chronological order to form a vector as the deviation feature vector of the pH of each sampling point at each sampling moment; The process of obtaining the joint influence of the soil at each sampling point at each sampling time is as follows: Calculate the conductivity anomaly of the soil at each sampling point at each sampling time according to the difference between the soil conductivity at each sampling point at each sampling time and other sampling times, and use the product of the acid-base instability and the conductivity anomaly as the joint influence of the soil quality at each sampling point at each sampling time; The expression of soil quality variation in the fruit tree seedling cultivation area at each sampling time is: , where is the soil quality change degree of the fruit tree seedling cultivation area at the tth sampling moment, is the number of sampling points in the fruit tree seedling cultivation area, are the spatial variation weight and joint influence of soil quality at the ith sampling point at the tth sampling time, respectively, where the spatial variation weight is the normalized result of the spatial variation coefficient; The expression of the soil quality assessment value of the fruit tree seedling cultivation area at each sampling time is: , where are the soil quality assessment value and soil quality change degree of the fruit tree seedling cultivation area at the tth sampling time, is an exponential function with a natural constant as base, is the discrete coefficient of the spatial variation coefficient of all sampling points at the tth sampling time.

2. The soil monitoring method for cultivating fruit tree seedlings according to claim 1, characterized in that: The conductivity anomaly of the soil at each sampling point at each sampling moment is further obtained by taking the average of the absolute values ​​of the conductivity differences between each sampling point at each sampling moment and all other sampling moments, and recording it as the conductivity anomaly of the soil at each sampling point at each sampling moment.

3. The soil monitoring method for cultivating fruit tree seedlings according to claim 1, characterized in that: The spatial variation coefficient of the soil quality at each sampling point at each sampling time is the average of the absolute values ​​of the differences in the corresponding joint influence degrees between each sampling point and all other sampling points at each sampling time.

4. A soil monitoring device for cultivating fruit tree seedlings, comprising a memory, a processor, and a computer program stored in the memory and running 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 3 are implemented.

5. A soil monitoring system for cultivating fruit tree seedlings, wherein a computer program is stored in the system, characterized in that: When the computer program is executed by a processor, the steps of the soil monitoring method for cultivating fruit tree seedlings as described in any one of claims 1 to 3 are implemented.

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