Intelligent fruit tree planting monitoring method and system

Abstract

The present invention relates to the technical field of predicting fruit tree irrigation, and specifically to an intelligent fruit tree planting monitoring method and system. The method obtains the soluble salt content of the monitoring point in real time; obtains the degree of leaching influence based on the increase in the soluble salt content of the monitoring point in the middle layer and the deep layer within the current time period, the change in the increase in the soluble salt content as the depth of the monitoring point increases, and the decrease in the soluble salt content of the monitoring point in the surface layer; obtains the degree of salt stress of the fruit tree at the current moment based on the soluble salt content of the monitoring point in the surface layer at the current moment and the difference between the soluble salt content and the soluble salt content of the monitoring points in other layers, the degree of leaching influence, and the canopy temperature data at the current moment, and then obtains the recommended irrigation amount at the current moment. By obtaining the degree of salt stress, the present invention accurately determines the degree of salt influence on the fruit tree at the current moment, and then accurately obtains the recommended irrigation amount, effectively avoiding soil salinization and waste of water resources.

Description

Technical Field

[0001] The present invention relates to the technical field of fruit tree irrigation prediction, and in particular to an intelligent fruit tree planting monitoring method and system. Background Art

[0002] Fruit trees are particularly sensitive to soil salinization, which can affect their growth and yield. Excessive use of chemical fertilizers and improper irrigation during fruit tree cultivation can lead to excessive salt residue in the soil, which in turn triggers soil salinization. To ensure normal fruit tree production, irrigation is necessary to reduce the salt content in the soil around the tree's roots.

[0003] Existing methods use a soil EC meter to measure the soluble salt content in the surface soil at the base of fruit trees in real time. When the soluble salt content exceeds a preset safety threshold, the trees are irrigated to reduce the soil salt content. Irrigation is stopped until the soluble salt content falls below the preset safety threshold. However, in reality, the degradation of soluble salt content is a continuous process. Simultaneously, irrigation or rainfall on fruit trees triggers salt leaching, a phenomenon known as salt infiltration. Analyzing only the soluble salt content cannot accurately determine the extent of salt damage to fruit trees, and thus cannot determine the appropriate irrigation amount. This can lead to an inability to control soil salinization, waste water resources, and exacerbate nutrient loss. Summary of the Invention

[0004] In order to solve the technical problem of being unable to accurately analyze the degree of salt damage to fruit trees and thus being unable to determine the amount of irrigation for fruit trees, the present invention aims to provide an intelligent fruit tree planting monitoring method and system. The technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present invention provides an intelligent fruit tree planting monitoring method, the method comprising the following steps:

[0006] Real-time acquisition of soluble salt content at each monitoring point in each layer of the fruit tree root system; real-time acquisition of canopy temperature data of the fruit tree; wherein, the fruit tree root system is divided into surface layer, middle layer and deep layer;

[0007] According to the increase of soluble salt content at each monitoring point in the middle and deep layers during the current time period, the change of soluble salt content increase with the increase of monitoring point depth, and the decrease of soluble salt content at each monitoring point in the surface layer during the current time period, the leaching impact degree of the fruit tree at the current moment is obtained;

[0008] The salt stress level of the fruit tree at the current moment is obtained based on the soluble salt content of each monitoring point in the surface layer at the current moment, the difference between the soluble salt content of each monitoring point in other layers, the degree of leaching influence and the canopy temperature data at the current moment;

[0009] Get the recommended irrigation amount for fruit trees at the current moment based on the degree of salt stress.

[0010] Furthermore, the method for obtaining the leaching impact degree is:

[0011] Obtain the first leaching analysis value based on the increase in soluble salt content at each monitoring point in the middle and deep layers during the current time period;

[0012] Obtain a second leaching analysis value based on the change in the soluble salt content in the middle layer and deep layer as the depth of the monitoring point increases during the current time period;

[0013] Obtain a third leaching analysis value based on the decrease in soluble salt content at each monitoring point in the surface layer during the current time period;

[0014] The product of the first leaching analysis value, the second leaching analysis value and the third leaching analysis value is taken as the leaching impact degree of the fruit tree at the current moment.

[0015] Furthermore, the method for obtaining the first leaching analysis value is:

[0016] Obtain the difference in soluble salt content between the end time and the initial time of each monitoring point in the middle layer and deep layer during the current time period as the degree of salt increase of each monitoring point in the middle layer and deep layer during the current time period;

[0017] The result of adding up the salt increase of all monitoring points in the middle and deep layers during the current time period and normalizing it is used as the first leaching analysis value.

[0018] Furthermore, the method for obtaining the second leaching analysis value is:

[0019] The depth of the monitoring point is used as the horizontal axis of the two-dimensional coordinate system, and the degree of salinity increase is used as the vertical axis of the two-dimensional coordinate system to obtain the corresponding coordinate points of each monitoring point in the middle layer and deep layer in the current time period in the two-dimensional coordinate system;

[0020] Fitting all the coordinate points into a straight line, and obtaining the absolute value of the slope of the straight line as a first value;

[0021] The result of negative correlation and normalization of the first value is used as the second leaching analysis value.

[0022] Furthermore, the method for obtaining the third leaching analysis value is:

[0023] Obtain the difference in soluble salt content between the initial time and the final time of each monitoring point in the surface layer during the current time period as the degree of salt reduction at each monitoring point in the surface layer during the current time period;

[0024] The salt reduction degree of all monitoring points in the surface layer during the current time period is added up and normalized, and the result is used as the third leaching analysis value.

[0025] Furthermore, the method for obtaining the salt stress degree is:

[0026] Obtain the salt content at the current moment based on the soluble salt content of each monitoring point in the surface layer at the current moment and the difference between the soluble salt content of each monitoring point in other layers;

[0027] The result of normalizing the product of the negative correlation results of salt content, leaching influence and canopy temperature data is taken as the salt stress degree of the fruit tree at the current moment.

[0028] Furthermore, the method for obtaining the salt content is:

[0029] Obtain the average value of the soluble salt content of all monitoring points in the surface layer at the current moment as a reference value of surface salt content;

[0030] Obtain the difference in soluble salt content between each monitoring point in the surface layer at the current moment and each monitoring point in other layers, all as the first difference;

[0031] The product of the mean of the first difference and the surface salt reference value is used as the salt content level at the current moment.

[0032] Furthermore, the method for obtaining the recommended irrigation amount is:

[0033] When the salt stress level is greater than the preset salt stress level threshold, the product of the basic irrigation amount per unit area of ​​the fruit tree soil surface and the salt stress level is used as the basic irrigation adjustment value at the current moment;

[0034] The sum of the basic irrigation adjustment value and the basic irrigation amount is used as the corrected basic irrigation amount per unit area of ​​the fruit tree soil surface at the current moment;

[0035] The product of the area corresponding to the fruit tree and the modified basic irrigation amount is used as the recommended irrigation amount for the fruit tree at the current moment;

[0036] When the salt stress level is less than or equal to the preset salt stress level threshold, 0 is used as the recommended irrigation amount for the fruit tree at the current moment.

[0037] Furthermore, the depth of each monitoring point in each layer of the fruit tree root system is different.

[0038] In the second aspect, another embodiment of the present invention provides an intelligent fruit tree planting monitoring system, which includes: a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above methods.

[0039] The present invention has the following beneficial effects:

[0040] The present invention first obtains the leaching influence degree of the fruit tree at the current moment according to the increase of the soluble salt content of each monitoring point in the middle layer and the deep layer in the current time period, the change of the increase of the soluble salt content with the increase of the depth of the monitoring point, and the decrease of the soluble salt content of each monitoring point in the surface layer in the current time period, accurately reflects the obvious degree of salt leaching phenomenon at the current moment, and preliminarily reflects the degree of salt damage to the fruit tree at the current moment; in order to accurately obtain the degree of salt impact on the fruit tree at the current moment, the subsequent accurate analysis of the irrigation situation of the fruit tree at the current moment is made, and then according to the soluble salt content of each monitoring point in the surface layer at the current moment and the difference with the soluble salt content of each monitoring point in other layers, the leaching influence degree and the canopy temperature data at the current moment, the salt stress degree of the fruit tree at the current moment is obtained, and the salt impact degree of the fruit tree at the current moment is accurately reflected; and then based on the salt stress degree, the recommended irrigation amount for the fruit tree at the current moment is accurately obtained, effectively inhibiting soil salinization and effectively avoiding waste of water resources, which is conducive to better growth of the fruit tree. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] 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.

[0042] Figure 1 A schematic flow chart of an intelligent fruit tree planting monitoring method provided by one embodiment of the present invention;

[0043] Figure 2 A flow chart of a method for obtaining the degree of leaching impact provided by one embodiment of the present invention;

[0044] Figure 3 A flow chart of a method for obtaining the degree of salt stress provided by one embodiment of the present invention;

[0045] Figure 4 A structural diagram of an intelligent fruit tree planting monitoring system provided by one embodiment of the present invention;

[0046] Figure 5 A schematic diagram of a computer device provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0047] To further illustrate the technical means and effectiveness of the present invention in achieving its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effectiveness of an intelligent fruit tree planting monitoring method and system proposed by the present invention. In the following description, different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0048] 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.

[0049] The specific scheme of an intelligent fruit tree planting monitoring method and system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0050] Example 1:

[0051] This invention proposes an intelligent fruit tree planting monitoring method, please refer to Figure 1 , which shows a schematic flow chart of an intelligent fruit tree planting monitoring method provided by one embodiment of the present invention, the method comprising the following steps:

[0052] Step S1: obtaining the soluble salt content of each monitoring point in each layer of the fruit tree root system in real time; obtaining the canopy temperature data of the fruit tree in real time; wherein, the fruit tree root system is divided into surface layer, middle layer and deep layer.

[0053] Specifically, considering that the salt content in the soil of different areas in the same orchard may vary, this embodiment divides the same orchard or orchard into regions, and then analyzes each region separately, so that the irrigation amount of each region can be obtained separately later, avoiding salinization of the fruit tree soil while avoiding waste of water resources. This embodiment sets the size of each region to The implementer can set the size of the area according to the actual situation, which is not limited here. It should be noted that this embodiment takes any divided fruit tree area as an example for analysis, and the fruit trees that appear subsequently are all defaulted to be located in the fruit tree area.

[0054] It is known that the root system of a fruit tree is divided into the surface layer, the middle layer and the deep layer. Among them, this embodiment sets the soil depth corresponding to the surface layer to 0 to 20 cm, the soil depth corresponding to the middle layer to 21 to 40 cm, and the soil depth corresponding to the deep layer to 41 to 100 cm. The implementer can set the soil depth corresponding to each layer of the fruit tree root system according to actual conditions, which is not limited here. In order to analyze the salt content in the soil of the fruit tree root system, this embodiment sets multiple monitoring points in each layer of the fruit tree root system, and the depth of each monitoring point is different. This embodiment assumes that all monitoring points are located in a straight line perpendicular to the ground. A soil EC meter is installed at each monitoring point to obtain the soluble salt content of each monitoring point in each layer of the fruit tree root system in real time, which is conducive to the subsequent real-time analysis of the salt content in the soil and indirectly reflects the degree of salt influence on the fruit tree at the current moment. In this embodiment, the distance between two adjacent monitoring points is set to 3 cm, and the soluble salt content is collected every 1 minute. Among them, all soil EC meters collect the soluble salt content synchronously. The implementer can set the distance between two adjacent monitoring points and the time interval between two adjacent soluble salt content collection times according to actual conditions, which are not limited here.

[0055] On the other hand, when the soluble salt content in the soil is too high, i.e., soil salinization, it can make it difficult for fruit tree roots to absorb water, which in turn causes a decrease in the transpiration rate of the fruit trees, reducing the heat dissipation of the fruit trees and causing the temperature of the fruit tree canopy to increase. Furthermore, in order to more accurately analyze the impact of salt in the fruit tree soil and subsequently accurately determine the amount of irrigation for the fruit trees, this embodiment further uses a thermal infrared imager to obtain real-time canopy temperature data of the fruit trees. In this embodiment, the time of collecting canopy temperature data is set to be consistent with the time of collecting the soluble salt content.

[0056] Step S2: According to the increase of soluble salt content at each monitoring point in the middle and deep layers in the current time period, the change of the increase of soluble salt content with the increase of the depth of the monitoring point, and the decrease of soluble salt content at each monitoring point in the surface layer in the current time period, the degree of leaching impact on the fruit tree at the current moment is obtained.

[0057] Specifically, it is known that when irrigation or rainfall occurs, the soluble salt content in the soil surface is diluted, and the salt in the soil also penetrates into the middle and deep layers of the soil through leaching. Therefore, the greater the increase in soluble salt content in the middle and deep layers and the greater the decrease in soluble salt content in the surface layer during the current time period, the greater the likelihood of irrigation or rainfall during the current time period, and the greater the degree of salt degradation in the fruit tree soil at the current moment, which indirectly reflects the less impact of salt on the fruit trees at the current moment. Considering that salt gradually penetrates downward, the soluble salt content should decrease with increasing depth. The greater the increase in soluble salt content at each monitoring point in the middle and deep layers during the current time period, and the more gradual the decrease in soluble salt content with increasing depth of the monitoring point, the more accurately it indicates that the soluble salt content in the middle and deep layers has increased during the current time period, and the more significant the salt leaching phenomenon is at the current moment.

[0058] Therefore, this embodiment obtains the degree of leaching influence on the fruit tree at the current moment based on the increase in the soluble salt content of each monitoring point in the middle layer and the deep layer in the current time period, the change in the increase in the soluble salt content as the depth of the monitoring point increases, and the decrease in the soluble salt content of each monitoring point in the surface layer in the current time period. The greater the degree of leaching influence, the greater the degree of influence of irrigation or rainfall at the current moment, which indirectly indicates that the degree of influence of salt at the current moment should be smaller. It should be noted that this embodiment sets the duration of the current time period to 8 hours, and the implementer can set the size of the current time period according to actual conditions, which is not limited here. Among them, the end time of the current time period must be the current moment.

[0059] Preferably, in one possible implementation of this embodiment, the method for obtaining the leaching influence degree is as follows: Figure 2 , which shows a flow chart of a method for obtaining the leaching impact degree provided in this embodiment, the method comprising the following steps:

[0060] Step S201: obtaining a first leaching analysis value according to the increase in the soluble salt content of each monitoring point in the middle layer and the deep layer in the current time period.

[0061] The greater the increase in soluble salt content at each monitoring point in the middle and deep layers during the current time period, the more significant the salt leaching phenomenon is during the current time period, and the greater the degree of irrigation or rainfall during the current time period. Therefore, this embodiment obtains a first leaching analysis value based on the increase in soluble salt content at each monitoring point in the middle and deep layers during the current time period. The larger the first leaching analysis value, the less affected the fruit tree is by salt at the current moment.

[0062] In one possible implementation of this embodiment, the method for obtaining the first leaching analysis value is: obtaining the difference between the soluble salt content at the end moment and the initial moment of each monitoring point in the middle layer and deep layer in the current time period as the degree of salt increase of each monitoring point in the middle layer and deep layer in the current time period; when the degree of salt increase is greater, it means that more salt has penetrated into the middle and deep layers in the current time period. In order to comprehensively characterize the increase in salt in the middle layer and deep layer in the current time period, the salt increase of all monitoring points in the middle layer and deep layer in the current time period is added up and normalized as the first leaching analysis value. This embodiment normalizes the result of the addition of the salt increase of all monitoring points in the middle layer and deep layer in the current time period through the norm normalization function.

[0063] Step S202: obtaining a second leaching analysis value according to the change in the increase in soluble salt content in the middle layer and the deep layer as the depth of the monitoring point increases in the current time period.

[0064] In the middle and deep layers, as the depth of the monitoring point increases, the more gradual the decrease in salt content at the corresponding monitoring point, the greater the degree of downward salt penetration, indirectly indicating more significant salt leaching. This embodiment then obtains a second leaching analysis value based on the change in soluble salt content in the middle and deep layers as the depth of the monitoring point increases during the current time period. The larger the second leaching analysis value, the less affected the fruit tree is by salt at the current moment.

[0065] In one possible implementation of this embodiment, the second leaching analysis value is obtained by: using the depth of the monitoring point as the horizontal axis of a two-dimensional coordinate system and the degree of salt increase as the vertical axis of the two-dimensional coordinate system, obtaining the corresponding coordinate points in the two-dimensional coordinate system for each monitoring point in the middle and deep layers during the current time period; fitting all of these coordinate points into a straight line, and obtaining the absolute value of the slope of the line as the first value; the smaller the first value, the more gradual the decrease in salt increase with increasing soil depth, indirectly indicating more significant salt leaching and less impact on fruit trees at the current moment; then, performing negative correlation and normalization on the first value, and using it as the second leaching analysis value. In this embodiment, the first value is raised to the power of a specified function with a natural constant as the base, and the output of this exponential function is the second leaching analysis value.

[0066] Step S203: obtaining a third leaching analysis value according to the decrease in the soluble salt content at each monitoring point in the surface layer during the current time period.

[0067] If the soluble salt content at each monitoring point in the surface layer decreases significantly during the current time period, this indicates a greater degree of irrigation or rainfall during the current time period, indirectly indicating that the fruit trees are less affected by salt at the current moment. Therefore, this embodiment obtains a third leaching analysis value based on the decrease in soluble salt content at each monitoring point in the surface layer during the current time period. The larger the third leaching analysis value, the less affected the fruit trees are by salt at the current moment.

[0068] In one possible implementation of this embodiment, the third leaching analysis value is obtained by obtaining the difference between the soluble salt content at the initial and final times of each monitoring point in the surface layer during the current time period, which serves as the degree of salt reduction at each monitoring point in the surface layer during the current time period; and summing the salt reductions at all monitoring points in the surface layer during the current time period and normalizing the result to serve as the third leaching analysis value. In this embodiment, the sum of the salt reductions at all monitoring points in the surface layer during the current time period is normalized using the norm normalization function.

[0069] Step S204: The product of the first leaching analysis value, the second leaching analysis value, and the third leaching analysis value is used as the leaching impact degree of the fruit tree at the current moment.

[0070] It is known that the larger the first leaching analysis value, the larger the second leaching analysis value, and the larger the third leaching analysis value, the smaller the degree of salt influence on the fruit tree at the current moment, and the more obvious the salt leaching phenomenon. Therefore, in this embodiment, the product of the first leaching analysis value, the second leaching analysis value, and the third leaching analysis value is used as the leaching influence degree of the fruit tree at the current moment.

[0071] Step S3: Obtain the salt stress level of the fruit tree at the current moment based on the soluble salt content of each monitoring point in the surface layer at the current moment, the difference in soluble salt content with each monitoring point in other layers, the degree of leaching influence and the canopy temperature data at the current moment.

[0072] Specifically, at the current moment, when the soluble salt content of each monitoring point in the surface layer is greater and also greater than the soluble salt content of each monitoring point in other layers, it indicates that soil salinization is more likely to exist at the current moment; when the degree of leaching influence is greater, the possibility of soil salinization at the current moment is less; it is known that soil salinization will cause the canopy temperature of fruit trees to increase, therefore, the greater the canopy temperature data at the current moment, the greater the possibility of soil salinization at the current moment; further, this embodiment obtains the salt stress level of the fruit tree at the current moment based on the soluble salt content of each monitoring point in the surface layer at the current moment and the difference in soluble salt content with each monitoring point in other layers, the degree of leaching influence, and the canopy temperature data at the current moment. The greater the degree of salt stress, the greater the degree of soil salinization at the current moment. In order to reduce the impact of soil salinization on fruit trees, the amount of irrigation required at the current moment should be greater.

[0073] Preferably, in one possible implementation of this embodiment, the method for obtaining the degree of salt stress can be found in Figure 3 , which shows a flow chart of a method for obtaining the degree of salt stress provided in this embodiment, the method comprising the following steps:

[0074] Step S301: Obtain the salt content at the current moment based on the soluble salt content of each monitoring point in the surface layer at the current moment and the difference between the soluble salt content of each monitoring point in other layers.

[0075] At the current moment, when the soluble salt content at each monitoring point in the surface layer is higher and also higher than the soluble salt content at each monitoring point in other layers, it indicates that soil salinization is more likely to occur at the current moment, that is, the salt content is higher. Therefore, this embodiment obtains the current salt content level based on the soluble salt content at each monitoring point in the surface layer at the current moment and the difference between the soluble salt content at each monitoring point in other layers. The higher the salt content, the greater the salt damage to the fruit trees at the current moment.

[0076] In one possible implementation of this embodiment, the method for obtaining the salt content level is: obtaining the average soluble salt content of all monitoring points in the surface layer at the current moment as the surface salt reference value; the larger the surface salt reference value, the higher the salt content in the soil at the current moment; in order to more accurately describe the salt content in the soil at the current moment, further obtaining the difference in soluble salt content between each monitoring point in the surface layer at the current moment and each monitoring point in other layers, all as first differences; when the first differences are larger, the salt content in the soil at the current moment is higher; in order to accurately characterize the salt content in the soil at the current moment, this embodiment uses the product of the average of the first differences and the surface salt reference value as the salt content level at the current moment.

[0077] Step S302: normalize the product of the negative correlation results of the salt content and the leaching effect and the canopy temperature data to obtain the result of the normalization, which is used as the salt stress degree of the fruit tree at the current moment.

[0078] It is known that the greater the current salt content, the smaller the leaching impact, and the larger the canopy temperature data, the greater the degree of salt damage to the fruit tree. Therefore, this embodiment normalizes the product of the negative correlation results of the salt content, the leaching impact, and the canopy temperature data as the salt stress level of the fruit tree at the current moment. In this embodiment, the leaching impact is raised to the power of an exponential function with a natural constant as the base, and the output of this exponential function is the negative correlation result of the leaching impact. This embodiment normalizes the product of the salt content, the negative correlation result of the leaching impact, and the canopy temperature data using the norm normalization function.

[0079] Step S4: Obtain the recommended irrigation amount for the fruit tree at the current moment based on the salt stress level.

[0080] Specifically, it is known that the greater the degree of salt stress, the greater the irrigation amount of the fruit tree at the current moment should be. Therefore, this embodiment obtains the recommended irrigation amount of the fruit tree at the current moment based on the degree of salt stress.

[0081] Preferably, in one implementation of this embodiment, the method for obtaining the recommended irrigation amount is as follows: This embodiment sets a preset salt stress threshold of 0.5. The implementer can set the preset salt stress threshold according to actual conditions and is not limited here. When the salt stress level is greater than the preset salt stress threshold, it indicates that the salt content in the soil at the current moment is harmful to the fruit tree. In this case, the product of the basic irrigation amount per unit area of ​​the fruit tree soil surface and the salt stress level is used as the basic irrigation adjustment value at the current moment; the addition of the basic irrigation adjustment value and the basic irrigation amount is used as the corrected basic irrigation amount per unit area of ​​the fruit tree soil surface at the current moment; wherein the basic irrigation amount per unit area of ​​the fruit tree soil surface is a known quantity. The product of the area corresponding to the fruit tree, i.e., the area of ​​the area analyzed in this embodiment, and the corrected basic irrigation amount is used as the recommended irrigation amount for the fruit tree at the current moment; when the salt stress level is less than or equal to the preset salt stress threshold, it indicates that there is no salt damage to the fruit tree roots at the current moment and irrigation of the fruit tree is not currently required. In this case, 0 is used as the recommended irrigation amount for the fruit tree at the current moment.

[0082] It should be noted that after obtaining the recommended irrigation amount for the fruit trees at the current moment, it is necessary to further perform a secondary correction on the recommended irrigation amount in combination with the weather at the current moment. Specifically, when there is rainfall at the current moment, the product of the rainfall and the area corresponding to the fruit trees is used as the rainfall supplement, and then the difference between the recommended irrigation amount and the rainfall supplement is used as the recommended irrigation amount after the secondary correction at the current moment, which effectively reduces the waste of water resources. It should be noted that when the recommended irrigation amount after the secondary correction is a negative number, the default recommended irrigation amount after the secondary correction at the current moment is 0. When there is no rainfall at the current moment, the recommended irrigation amount for the fruit trees at the current moment is not subjected to a secondary correction. At this point, the recommended irrigation amount for the fruit trees at the current moment is accurately predicted, which effectively suppresses soil salinization and effectively avoids the waste of water resources, which is conducive to better growth of the fruit trees.

[0083] In summary, this embodiment obtains the soluble salt content of the monitoring point in real time; obtains the degree of leaching impact based on the increase in the soluble salt content of the monitoring points in the middle and deep layers within the current time period, the change in the increase in soluble salt content as the depth of the monitoring point increases, and the decrease in the soluble salt content of the monitoring point in the surface layer; obtains the degree of salt stress of the fruit tree at the current moment based on the soluble salt content of the monitoring point in the surface layer at the current moment and the difference in soluble salt content with the monitoring points in other layers, the degree of leaching impact, and the canopy temperature data at the current moment, and then obtains the recommended irrigation amount at the current moment. By obtaining the degree of salt stress, the present invention accurately determines the degree of salt influence on the fruit tree at the current moment, and then accurately obtains the recommended irrigation amount, effectively avoiding soil salinization and waste of water resources.

[0084] Example 2:

[0085] The present invention also proposes an intelligent fruit tree planting monitoring system, please refer to Figure 4 , which shows a structural diagram of an intelligent fruit tree planting monitoring system provided by an embodiment of the present invention. The system includes: a data acquisition module 10, a leaching impact degree acquisition module 20, a salt stress degree acquisition module 30 and a recommended irrigation amount acquisition module 40.

[0086] The data acquisition module 10 is used to obtain the soluble salt content of each monitoring point in each layer of the fruit tree root system in real time; and to obtain the canopy temperature data of the fruit tree in real time; wherein the fruit tree root system is divided into surface layer, middle layer and deep layer.

[0087] The leaching impact degree acquisition module 20 is used to obtain the leaching impact degree of the fruit tree at the current moment based on the increase in the soluble salt content of each monitoring point in the middle layer and the deep layer in the current time period, the change in the increase in the soluble salt content with the increase in the depth of the monitoring point, and the decrease in the soluble salt content of each monitoring point in the surface layer in the current time period.

[0088] The salt stress degree acquisition module 30 is used to obtain the salt stress degree of the fruit tree at the current moment based on the soluble salt content of each monitoring point in the surface layer at the current moment and the difference in soluble salt content with each monitoring point in other layers, the degree of leaching influence and the canopy temperature data at the current moment.

[0089] The recommended irrigation amount acquisition module 40 is used to acquire the recommended irrigation amount for the fruit tree at the current moment based on the salt stress level.

[0090] It should be noted that the system provided in the above embodiment is merely an example of the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device can be divided into different functional modules to complete all or part of the functions described above. In addition, the intelligent fruit tree planting monitoring system and the intelligent fruit tree planting monitoring method embodiment provided in the above embodiment are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0091] Example 3:

[0092] The present invention also provides an intelligent fruit tree planting monitoring device, comprising a memory and a processor. The memory stores executable program code, and the processor is configured to call and execute the executable program code to implement an intelligent fruit tree planting monitoring method provided in an embodiment of the present application. The device can be a chip, component, or module. The chip may include a processor and memory connected to each other. The memory is configured to store instructions. When the processor calls and executes the instructions, the chip executes the intelligent fruit tree planting monitoring method provided in the above embodiment.

[0093] In addition, the present application also protects a computer device, see Figure 5 The computer device includes a memory 401, a processor 402, and a computer program 403 stored in the memory 401 and running on the processor 402, wherein when the processor 402 executes the computer program 403, the computer device can execute any one of the intelligent fruit tree planting monitoring methods introduced above.

[0094] Example 4:

[0095] This embodiment also provides a computer-readable storage medium, which stores computer program code. When the computer program code runs on a computer, the computer executes the above-mentioned related method steps to implement an intelligent fruit tree planting monitoring method provided by the above embodiment.

[0096] Example 5:

[0097] This embodiment also provides a computer program product. When the computer program product is run on a computer, it enables the computer to execute the above-mentioned related steps to implement an intelligent fruit tree planting monitoring method provided by the above embodiment.

[0098] Among them, the device, computer-readable storage medium, computer program product or chip provided in this embodiment are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0099] 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.

[0100] 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. An intelligent fruit tree planting monitoring method, characterized in that: The method comprises the following steps: Real-time acquisition of soluble salt content at each monitoring point in each layer of the fruit tree root system; real-time acquisition of canopy temperature data of the fruit tree; wherein the fruit tree root system is divided into surface layer, middle layer and deep layer; the depth of each monitoring point in each layer of the fruit tree root system is different and all monitoring points are located in a straight line perpendicular to the ground; According to the increase of soluble salt content at each monitoring point in the middle layer and deep layer during the current time period, a first leaching analysis value is obtained; according to the change of the increase of soluble salt content in the middle layer and deep layer as the depth of the monitoring point increases during the current time period, a second leaching analysis value is obtained; according to the decrease of soluble salt content at each monitoring point in the surface layer during the current time period, a third leaching analysis value is obtained; the product of the first leaching analysis value, the second leaching analysis value and the third leaching analysis value is used as the leaching impact degree of the fruit tree at the current moment; The salt stress level of the fruit tree at the current moment is obtained based on the soluble salt content of each monitoring point in the surface layer at the current moment, the difference between the soluble salt content of each monitoring point in other layers, the degree of leaching influence and the canopy temperature data at the current moment; Obtain the recommended irrigation amount for fruit trees at the current moment based on the degree of salt stress; The method for obtaining the first leaching analysis value is: Obtain the difference in soluble salt content between the end time and the initial time of each monitoring point in the middle layer and deep layer during the current time period as the degree of salt increase of each monitoring point in the middle layer and deep layer during the current time period; The result of adding up the salt increase of all monitoring points in the middle and deep layers during the current time period and normalizing it is used as the first leaching analysis value; The method for obtaining the second leaching analysis value is: The depth of the monitoring point is used as the horizontal axis of the two-dimensional coordinate system, and the degree of salinity increase is used as the vertical axis of the two-dimensional coordinate system to obtain the corresponding coordinate points of each monitoring point in the middle layer and deep layer in the current time period in the two-dimensional coordinate system; Fitting all the coordinate points into a straight line, and obtaining the absolute value of the slope of the straight line as a first value; The result of negative correlation and normalization of the first value is used as the second leaching analysis value; The method for obtaining the third leaching analysis value is: Obtain the difference in soluble salt content between the initial time and the final time of each monitoring point in the surface layer during the current time period as the degree of salt reduction at each monitoring point in the surface layer during the current time period; The salt reduction degree of all monitoring points in the surface layer during the current time period is added up and normalized, and the result is used as the third leaching analysis value.

2. The intelligent fruit tree planting monitoring method according to claim 1, characterized in that: The method for obtaining the salt stress degree is: Obtain the salt content at the current moment based on the soluble salt content of each monitoring point in the surface layer at the current moment and the difference between the soluble salt content of each monitoring point in other layers; The result of normalizing the product of the negative correlation results of salt content, leaching influence and canopy temperature data is used as the salt stress degree of the fruit tree at the current moment.

3. An intelligent fruit tree planting monitoring method according to claim 2, characterized in that: The method for obtaining the salt content is: Obtain the average value of the soluble salt content of all monitoring points in the surface layer at the current moment as a reference value of surface salt content; Obtain the difference in soluble salt content between each monitoring point in the surface layer at the current moment and each monitoring point in other layers, all as the first difference; The product of the mean of the first difference and the surface salt reference value is used as the salt content level at the current moment.

4. The intelligent fruit tree planting monitoring method according to claim 1, characterized in that: The method for obtaining the recommended irrigation amount is: When the salt stress level is greater than the preset salt stress level threshold, the product of the basic irrigation amount per unit area of ​​the fruit tree soil surface and the salt stress level is used as the basic irrigation adjustment value at the current moment; The sum of the basic irrigation adjustment value and the basic irrigation amount is used as the corrected basic irrigation amount per unit area of ​​the fruit tree soil surface at the current moment; The product of the area corresponding to the fruit tree and the modified basic irrigation amount is used as the recommended irrigation amount for the fruit tree at the current moment; When the salt stress level is less than or equal to the preset salt stress level threshold, 0 is used as the recommended irrigation amount for the fruit tree at the current moment.

5. An intelligent fruit tree planting monitoring system, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When executing the computer program, the processor implements the steps of the intelligent fruit tree planting monitoring method described in any one of claims 1 to 4.

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