Soil quality monitoring system and method for citrus planting

Abstract

The invention discloses a soil quality monitoring system and method for citrus planting, and belongs to the technical field of soil quality monitoring, and the system comprises a soil salinity accumulation judgment module, a soil salinity accumulation adjustment module and a citrus absorption efficiency analysis module. By solving the problem of salt accumulation caused by continuous increase of soil conductivity and adjusting the problem of unbalanced citrus absorption efficiency caused by fluctuation of pH values of different plots, the quality and yield of the planted citrus are guaranteed, more efficient resource utilization is achieved, soil health is maintained, and the absorption efficiency of citrus root systems is improved.

Description

Technical Field

[0001] This invention relates to the field of soil quality monitoring technology, and in particular to a soil quality monitoring system and method for citrus cultivation. Background Technology

[0002] With the continuous advancement of science and technology, the integration of science and technology with agriculture has deepened, leading to stricter requirements in citrus cultivation. By utilizing technological means, soil quality can be monitored throughout the entire citrus cultivation process. In order to promote the development of green agriculture and meet the demand for high-quality citrus, a soil quality monitoring system has been established in citrus cultivation to monitor and regulate soil quality, enabling efficient resource utilization and ensuring the quality of citrus.

[0003] Existing soil quality monitoring technology for citrus cultivation is a complex technology integrating multiple technologies, featuring intelligent and real-time monitoring characteristics. It mainly consists of an IoT sensor real-time monitoring network, rapid spectral detection technology, and an intelligent decision-making platform. By using IoT sensors for real-time monitoring and spectral scanning to monitor the soil in citrus cultivation areas and obtain soil information data, the intelligent decision-making platform makes judgments on soil characteristics to obtain soil quality data. Based on this, relevant decisions are made to achieve dynamic optimization of soil quality, improve decision-making efficiency, and precisely regulate soil health, thus making management more scientific.

[0004] For example, Chinese invention patent CN119335166B discloses a soil monitoring method, device, and system for fruit tree seedling cultivation, which relates to the field of soil monitoring technology, specifically a soil monitoring method, device, and system for fruit tree seedling cultivation. The method includes: acquiring the soil pH and electrical conductivity at each sampling point in the fruit tree seedling cultivation area at each sampling time during seedling cultivation; constructing the soil pH instability to obtain the soil's combined influence; constructing the spatial variation coefficient of soil quality based on the differences in the combined influence of different sampling points to obtain the soil quality variability; and obtaining the soil quality assessment value by combining the fluctuation of the spatial variation coefficient. The soil quality assessment value at the current time is predicted using the soil quality assessment values ​​at all sampling times, and the soil quality monitoring change curve is obtained by fitting the soil quality assessment values ​​at the current time and all sampling times.

[0005] For example, Chinese invention patent CN119064559B discloses a garden soil quality testing system and method based on multi-source data, relating to the field of soil quality testing technology. It includes a soil region division module, a testing database construction module, a target testing region analysis module, an association storage module, an abnormal growth node determination module, a response model construction module, and a real-time detection module. The soil region division module is used to divide the monitored garden into soil testing regions based on the differences in plant species. The testing database construction module is used to input soil quality testing events into the testing system to form a testing database. The target testing region analysis module is used to perform verification analysis on the first testing region to be analyzed to obtain the target testing region where the testing frequency affects the optimization processing operation. The association storage module is used to perform data association storage on the second testing region to be analyzed. The abnormal growth node determination module is used to determine abnormal growth nodes of plants within the target testing region.

[0006] The above-mentioned technology has at least the following technical problems: Currently, most soil quality monitoring systems and methods used for citrus cultivation focus on monitoring soil characteristics to generate soil quality monitoring values. However, in actual application scenarios, soil is subject to salt stress, which reduces soil quality. Furthermore, the accumulation of soil salt can induce abnormal fluctuations in soil pH, further weakening the nutrient absorption efficiency of citrus roots, reducing the quality of citrus fruits, and hindering citrus cultivation. Summary of the Invention

[0007] To address the aforementioned technical problems in the existing technology, embodiments of the present invention provide a soil quality monitoring system and method for citrus cultivation. The technical solution is as follows: On the one hand, a soil quality monitoring system for citrus cultivation is provided, including: The soil salinity accumulation judgment module is used to divide the target soil area into sub-regions, analyze the soil salinity accumulation characterization factors in each sub-region, simultaneously analyze the pH regulation information, determine the soil salinity accumulation judgment strategy in each sub-region, and thus determine the first execution plan for each sub-region soil.

[0008] The soil salinity accumulation regulation module is used to perform the first regulation when the first implementation plan for soil in each sub-region is irrigation regulation, analyze the effect label of the first regulation, and determine the second implementation plan for soil in each sub-region.

[0009] The citrus absorption efficiency analysis module is used to analyze the characterization factors of citrus absorption efficiency, determine the third implementation plan for soil in each sub-region, and perform pH adjustment.

[0010] On the other hand, a method for monitoring soil quality in citrus cultivation is provided, including the following steps: S1. Divide the target soil area into sub-regions, analyze the soil salinity accumulation characterization factors in each sub-region, simultaneously analyze the pH regulation information, determine the soil salinity accumulation judgment strategy in each sub-region, and thus determine the first implementation plan for the soil in each sub-region.

[0011] S2, when the first implementation plan for the soil in each sub-region is to carry out irrigation regulation, execute the first regulation, analyze the effect label of the first regulation, and determine the second implementation plan for the soil in each sub-region.

[0012] S3, analyze the characterization factors of citrus absorption efficiency, determine the third implementation plan for soil in each sub-region, and implement pH adjustment.

[0013] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: 1. The soil quality monitoring system and method for citrus cultivation provided by this invention solves the problem of salt accumulation caused by the continuous increase of soil conductivity by making targeted adjustments to the soil in different regions, and adjusts the problem of uneven absorption efficiency of citrus caused by pH fluctuations in different plots. It also precisely adjusts the micronutrient supplementation and fertilization plan, so as to ensure the quality and yield of the planted citrus, achieve more efficient resource utilization, maintain soil health, and optimize the absorption efficiency of citrus roots.

[0014] 2. This invention determines the first execution plan for each sub-region of soil by judging the first execution plan based on the sub-region soil salinity accumulation characterization factor and the soil salinity accumulation characterization factor correction threshold. By correcting the threshold, the standard factor is judged with stricter judgment criteria, and the soil salinity accumulation result is measured more accurately. For soils that have not accumulated salinity, monitoring can continue, which can reduce computational complexity and reduce computing power consumption. For soils that have accumulated salinity, adjustments can be made to ensure the high quality of citrus planting soil.

[0015] 3. By performing the first regulation, the present invention regulates the irrigation of the soil, solves the problem of soil salt accumulation, achieves efficient use of resources, reduces losses, and saves water resources through precise irrigation regulation. Targeted irrigation of the soil improves the physical structure of the soil and enhances biological activity.

[0016] 4. This invention adjusts the pH of soil in a targeted manner by performing pH adjustment, so that the pH value is within the optimal range for citrus cultivation, thereby improving the nutrient absorption efficiency of citrus roots, precisely adjusting the micronutrient supplementation and fertilization plan, improving soil nutrient utilization, and increasing the yield and quality of citrus. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the soil quality monitoring system for citrus cultivation provided in an embodiment of the present invention.

[0019] Figure 2 This is a flowchart of a soil quality monitoring method for citrus cultivation provided in an embodiment of the present invention.

[0020] Figure 3 This is a flowchart of the third execution scheme for judging the soil in each sub-region involved in the embodiments of the present invention.

[0021] Figure 4 This is a flowchart illustrating the analysis of the first adjustment effect label in an embodiment of the present invention. Detailed Implementation

[0022] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0023] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0024] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0025] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0026] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0027] This invention provides a soil quality monitoring system for citrus cultivation, such as... Figure 1 The schematic diagram of the soil quality monitoring system for citrus cultivation shown includes: a soil salinity accumulation judgment module, a soil salinity accumulation regulation module, and a citrus absorption efficiency analysis module.

[0028] The soil salinity accumulation judgment module is used to divide the target soil area into sub-regions, analyze the soil salinity accumulation characterization factors in each sub-region, simultaneously analyze the pH regulation information, determine the soil salinity accumulation judgment strategy in each sub-region, and thus determine the first execution plan for each sub-region soil.

[0029] By determining the first implementation plan for each sub-region's soil, and based on the sub-region's soil salinity accumulation characterization factor and its correction threshold, the first implementation plan for each sub-region's soil is determined. By correcting the threshold, the standard factors are judged with stricter criteria, and the soil salinity accumulation results are measured more accurately. For soils that have not accumulated salinity, monitoring continues, which can reduce computational complexity and reduce computing power consumption. For soils that have accumulated salinity, adjustments are made to ensure the high quality of citrus planting soil.

[0030] In this embodiment, the soil salinity accumulation characterization factors of each sub-region are analyzed. The analysis process is as follows: It should be noted that the sub-regions of the target soil region are obtained from the system program log, and the soil region is divided using the random forest algorithm.

[0031] Soil salinity accumulation characterization parameters were collected for each sub-region, including the average change in soil electrical conductivity, the periodic slope of soil electrical conductivity, and the changes in sodium ion concentration and chloride ion concentration.

[0032] It should be noted that the average change in soil electrical conductivity refers to the change in soil electrical conductivity over one period. Soil electrical conductivity is the ratio of conductivity value to electrode constant. The periodic slope of soil electrical conductivity refers to the rate of increase of soil electrical conductivity over one period. The change in sodium ion concentration refers to the change in sodium ion concentration in the soil over one period. The change in chloride ion concentration refers to the change in chloride ion concentration in the soil over one period.

[0033] It should be noted that the average change in soil electrical conductivity can be obtained through an electromagnetic induction sensor, and the periodic slope of soil electrical conductivity can be obtained by using an electromagnetic induction sensor to obtain soil electrical conductivity data within a period, and then using a time series model to extract the slope. The time series model is a statistical or machine learning method used to analyze and predict data arranged in chronological order. The changes in sodium ion concentration and chloride ion concentration can be obtained through a multi-parameter composite sensor.

[0034] It should be noted that the larger the average change in soil electrical conductivity, the greater the change in soil electrical conductivity within a period, resulting in a large slope of the soil electrical conductivity period. The higher the soil electrical conductivity value, the greater the concentration of sodium and chloride ions in the soil.

[0035] Based on the soil salinity accumulation characterization parameters of each sub-region, the soil salinity accumulation characterization factors of each sub-region were analyzed.

[0036] Extract the reference sodium ion concentration change and reference chloride ion concentration change stored in the database.

[0037] When the change in sodium ion concentration is greater than or equal to zero, the change in sodium ion concentration is compared with the change in sodium ion concentration to obtain the proportionality coefficient of the change in sodium ion concentration. When the change in sodium ion concentration is less than zero, the absolute value of the change in sodium ion concentration is compared with the corresponding change in sodium ion concentration to obtain the proportionality coefficient of the change in sodium ion concentration.

[0038] When the change in chloride ion concentration is greater than or equal to zero, the change in chloride ion concentration is compared with the change in chloride ion concentration to obtain the chloride ion concentration change ratio coefficient. When the change in chloride ion concentration is less than zero, the absolute value of the change in chloride ion concentration is compared with the corresponding change in chloride ion concentration to obtain the chloride ion concentration change ratio coefficient.

[0039] By traversing each sub-region, the proportionality coefficients of sodium ion concentration change and chloride ion concentration change in the soil of each sub-region are obtained.

[0040] The average change in soil electrical conductivity and the periodic slope of soil electrical conductivity in each sub-region were compared with the corresponding reference values. The proportional coefficients of sodium ion concentration change and chloride ion concentration change in each sub-region were coupled with the corresponding characteristic allocation coefficients to obtain the characterization factor of soil salinity accumulation in each sub-region.

[0041] The soil salinity accumulation in each sub-region is characterized by the average change in soil electrical conductivity, the periodic slope of soil electrical conductivity, and the combined influence of changes in sodium ion concentration and chloride ion concentration on soil salinity accumulation in each sub-region.

[0042] It should be noted that the following features are extracted from the database: the average conductivity change feature allocation coefficient, the conductivity period slope feature allocation coefficient, the sodium ion concentration change ratio feature allocation coefficient, and the chloride ion concentration change ratio feature allocation coefficient.

[0043] Extract the average value of the reference conductivity change and the slope of the reference conductivity period stored in the database.

[0044] It should be noted that the characteristic distribution coefficients of the average conductivity change, the periodic slope of conductivity, the proportionality coefficient of sodium ion concentration change, and the proportionality coefficient of chloride ion concentration change all range from 0 to 1. Furthermore, the sum of these coefficients is 1. When using these coefficients, pre-defined values ​​can be directly extracted from the database. The specific extraction method is as follows: The average conductivity change, the periodic slope of soil conductivity, the proportionality coefficient of sodium ion concentration change, and the proportionality coefficient of chloride ion concentration change in each sub-region are calculated. A one-to-one mapping set is constructed between the change in chloride ion concentration and the corresponding characteristic allocation coefficients of the average change in conductivity, the periodic slope of conductivity, the proportionality coefficient of sodium ion concentration change, and the proportionality coefficient of chloride ion concentration change. When using this method, the average change in conductivity, the periodic slope of soil conductivity, the change in sodium ion concentration, and the change in chloride ion concentration of each sub-region are input into the corresponding mapping set, thereby extracting the characteristic allocation coefficients of the average change in conductivity, the periodic slope of conductivity, the proportionality coefficient of sodium ion concentration change, and the proportionality coefficient of chloride ion concentration change.

[0045] In the specific implementation process, the soil salinity accumulation characterization factors for each sub-region are represented as follows: , Among them, A i T is the characterization factor for soil salinity accumulation in the i-th sub-region. i R is the average change in electrical conductivity of the soil in the i-th sub-region. i N is the periodic slope of the electrical conductivity of the soil in the i-th sub-region. i U is the proportionality coefficient of the change in sodium ion concentration in the soil of the i-th sub-region. i T is the proportionality coefficient of the change in chloride ion concentration in the soil of the i-th sub-region. vef It is the average value of the reference conductivity change, R vef The reference conductivity period slope, T1 is the characteristic distribution coefficient of the average conductivity change, R1 is the characteristic distribution coefficient of the conductivity period slope, N1 is the characteristic distribution coefficient of the sodium ion concentration change ratio, U1 is the characteristic distribution coefficient of the chloride ion concentration change ratio, and i is the soil number of each sub-region, i=1,2,...,n, where n is the number of soils in the sub-region.

[0046] In this embodiment, information on pH regulation is analyzed to determine the soil salinity accumulation judgment strategy for each sub-region. The analysis process is as follows: If there is no pH adjustment information in the previous detection cycle for a certain sub-region, the soil salinity accumulation judgment strategy for that sub-region is recorded as the first judgment strategy.

[0047] It should be noted that the pH adjustment information is judged in the previous detection cycle of a certain sub-region. When there is no pH adjustment information, the change in soil conductivity is not affected by pH adjustment. Therefore, the first judgment strategy is to use the information characteristics of the soil to judge the first execution plan of the soil in each sub-region.

[0048] If pH adjustment information exists in the previous detection period for a certain sub-region, the historical pH change of the soil in that sub-region is obtained, and the soil salinity accumulation judgment strategy for that sub-region is recorded as the second judgment strategy.

[0049] It should be noted that when pH adjustment information is available, it indicates that pH adjustment has occurred. In order to eliminate the influence of pH adjustment on soil conductivity changes, the historical pH change of the soil in this sub-region is obtained. The historical pH change refers to the change before and after the last pH adjustment of the region. This value is used in conjunction with the soil information characteristics to determine the first implementation plan for the soil in each sub-region.

[0050] It should be added that if pH adjustment is present at this time, it means that the pH value will be changed, which will lead to a short-term rapid pH change. This will reduce the sensitive response to changes in conductivity and prevent false soil salinity warnings. In order to make the judgment of soil salinity accumulation more accurate, the judgment of soil salinity accumulation should be more strictly adjusted in conjunction with pH adjustment to eliminate the influence of pH adjustment.

[0051] The soil salinity accumulation regulation module is used to perform the first regulation when the first implementation plan for soil in each sub-region is irrigation regulation, analyze the effect label of the first regulation, and determine the second implementation plan for soil in each sub-region.

[0052] By implementing the first regulation, the irrigation of the soil is controlled, and the problem of soil salinity accumulation is solved. This can achieve efficient use of resources, reduce losses, and save water resources through precise irrigation regulation. Targeted irrigation of the soil can improve the physical structure of the soil and enhance biological activity.

[0053] See Figure 4 The diagram shows a flowchart of the analysis of the first regulation effect label in an embodiment of the present invention. The process involves obtaining the soil salinity accumulation characterization factor for each sub-region, extracting the soil salinity accumulation characterization factor correction threshold, comparing the soil salinity accumulation characterization factor for each sub-region with the correction threshold, and recording the first regulation effect as effective regulation if it is less than the threshold. The second execution plan is to continue monitoring. If it is greater than or equal to the threshold, the first regulation effect is recorded as ineffective regulation. The second execution plan is to execute the second regulation.

[0054] In this embodiment, the first execution plan for the soil in each sub-region is determined as follows: Extract the preset threshold values ​​for soil salinity accumulation characterization factors from the database.

[0055] Extract the clay content of soil in each sub-region.

[0056] It should be noted that the clay content information of the soil in each sub-region is obtained through the system's IoT sensors, and then the clay content of the soil in each sub-region is obtained. When using it, the clay content of the soil in each sub-region is extracted from the system program log.

[0057] The first correction coefficient for the threshold of the soil salinity accumulation characterization factor in each sub-region was obtained by extracting the clay content of the soil in each sub-region.

[0058] It should be noted that the database stores a mapping set of clay content of soil in each sub-region. When using it, the clay content of soil in each sub-region is obtained in real time and input into the mapping set, so that the first correction coefficient of the characterization factor threshold of soil salinity accumulation in each sub-region can be extracted.

[0059] It should be noted that the higher the clay content of the soil in each sub-region, the greater the soil viscosity value, indicating that the soil has a high clay content and enhanced salt adsorption. To solve the problem of soil salt accumulation, the soil viscosity problem must be considered. Therefore, the threshold is adjusted according to the soil clay content. Thus, the higher the clay content of the soil in each sub-region, the larger the first correction coefficient of the extracted soil salt accumulation characterization factor threshold for each sub-region.

[0060] If the soil salinity accumulation judgment strategy for a certain sub-region is the first judgment strategy, the soil salinity accumulation characterization factor correction threshold is obtained based on the first correction coefficient of the soil salinity accumulation characterization factor threshold and the soil salinity accumulation characterization factor threshold of the corresponding sub-region.

[0061] It should be noted that the soil salinity accumulation characterization factor correction threshold is obtained by multiplying the first correction coefficient of the soil salinity accumulation characterization factor threshold of the corresponding sub-region with the soil salinity accumulation characterization factor threshold.

[0062] If the soil salinity accumulation judgment strategy for a certain sub-region is the second judgment strategy, the second correction coefficient of the soil salinity accumulation characterization factor threshold of the corresponding sub-region is obtained based on the historical pH change of the soil in the corresponding sub-region.

[0063] It should be noted that the database stores a mapping set of historical pH changes in soil for each corresponding sub-region. When using it, the historical pH changes in soil for each corresponding sub-region that are obtained in real time are input into the mapping set, and the second correction coefficient of the threshold of the soil salinity accumulation characterization factor for each sub-region can be extracted.

[0064] It should be noted that the greater the historical pH change in the corresponding sub-region, the greater the pH change in the corresponding sub-region, indicating a greater degree of pH regulation. The impact of pH regulation on the judgment of soil salinity accumulation in each sub-region is also considered. A correction coefficient is extracted by historical pH change, and then the threshold is corrected to judge whether soil salinity accumulation has occurred with a more stringent standard.

[0065] By traversing all sub-regions corresponding to the second judgment strategy, the second correction coefficient of the soil salinity accumulation characterization factor threshold of each sub-region is obtained.

[0066] The soil salinity accumulation characterization factor threshold correction coefficient for each sub-region is obtained based on the first correction coefficient and the second correction coefficient of the soil salinity accumulation characterization factor threshold for each sub-region.

[0067] It should be noted that, in a specific embodiment, if the first correction coefficient of the soil salinity accumulation characterization factor threshold of each sub-region is a1 and the second correction coefficient of the soil salinity accumulation characterization factor threshold of each sub-region is a2, then the soil salinity accumulation characterization factor threshold correction coefficient of the soil salinity accumulation characterization factor threshold of each sub-region is a1+a2.

[0068] The soil salinity accumulation characterization factor correction threshold is obtained based on the soil salinity accumulation characterization factor threshold correction coefficient and the soil salinity accumulation characterization factor threshold in each sub-region.

[0069] It should be noted that the correction threshold for soil salinity accumulation characterization factor is obtained by multiplying the soil salinity accumulation characterization factor threshold correction coefficient by the soil salinity accumulation characterization factor threshold.

[0070] If the soil salinity accumulation characterization factor of a certain sub-region is less than the corresponding soil salinity accumulation characterization factor correction threshold, then the first implementation plan for the soil in that sub-region is recorded as continuing monitoring.

[0071] It should be noted that if the soil salinity accumulation characterization factor of a certain sub-region is less than the soil salinity accumulation characterization factor correction threshold, it means that soil salinity has not accumulated in that sub-region and the soil has no adverse effect on citrus planting. In order to reduce computing power consumption and reduce the possibility of system error adjustment, no other adjustments will be made, and the first execution plan for the soil in that sub-region will be to continue monitoring.

[0072] If the soil salinity accumulation characterization factor of a certain sub-region is greater than or equal to the corresponding soil salinity accumulation characterization factor correction threshold, then the first implementation plan for the soil in that sub-region is recorded as irrigation regulation.

[0073] It should be noted that if the soil salinity accumulation characterization factor of a certain sub-region is greater than or equal to the soil salinity accumulation characterization factor correction threshold, it indicates that the soil salinity accumulation in that sub-region is serious, resulting in soil salt stress, which is detrimental to citrus cultivation. Therefore, this problem needs to be addressed to solve the soil salinity accumulation problem. Thus, the first implementation plan for the soil in this sub-region is to carry out irrigation regulation.

[0074] In this embodiment, the first adjustment is performed, and the effect label of the first adjustment is analyzed. The execution process is as follows: The soil salinity accumulation regulation deviation value for each sub-region is obtained based on the soil salinity accumulation characterization factor and the soil salinity accumulation characterization factor correction threshold.

[0075] It should be noted that, in a specific embodiment, if the soil salinity accumulation characterization factor for a certain sub-region is b1 and the soil salinity accumulation characterization factor correction threshold is b2, then the soil salinity accumulation adjustment deviation value for a certain sub-region is b1-b2.

[0076] The cumulative soil salinity adjustment set of each sub-region is extracted based on the cumulative soil salinity adjustment deviation value of each sub-region.

[0077] The soil salinity accumulation regulation set for each subregion includes irrigation volume increase and irrigation frequency reduction values.

[0078] It should be noted that the mapping set corresponding to the cumulative soil salinity adjustment deviation value of each sub-region and the cumulative soil salinity adjustment set of each sub-region is extracted from the database. When using it, the cumulative soil salinity adjustment deviation value of each sub-region is obtained in real time and input into the mapping set to extract the cumulative soil salinity adjustment set of each sub-region.

[0079] It should be noted that the larger the soil salinity accumulation adjustment deviation value of each sub-region, the more severe the soil salinity accumulation is, indicating that the soil is hindering the growth of citrus. In order to solve the problem of soil salinity accumulation, the salinity accumulation problem is adjusted by the values ​​in the soil salinity accumulation adjustment set of each sub-region to obtain the desired result. Therefore, the larger the value in the corresponding extracted soil salinity accumulation adjustment set of each sub-region, the better.

[0080] The first regulation is performed based on the soil salinity accumulation regulation set of each sub-region.

[0081] It should be noted that the first adjustment refers to extracting the current soil irrigation water volume and soil irrigation frequency from the system program log, adding the irrigation water volume supplement value to the current soil irrigation water volume as the soil irrigation water volume adjustment value, and adding the irrigation frequency reduction value to the current soil irrigation frequency as the soil irrigation frequency adjustment value.

[0082] Obtain the current soil salinity accumulation characterization factor for each sub-region, and denote it as the first soil salinity accumulation characterization factor for each sub-region.

[0083] If the first soil salinity accumulation characterization factor of a certain sub-region is less than the soil salinity accumulation characterization factor correction threshold, then the first regulation effect is marked as effective regulation, and the second implementation plan for the soil of that sub-region is determined to be continued monitoring.

[0084] It should be noted that if the first soil salinity accumulation characterization factor of a certain sub-region is less than the soil salinity accumulation characterization factor correction threshold, it means that the salinity accumulation problem of that sub-region has been resolved through adjustment, and the soil electrical conductivity has reached the ideal effect. At this time, the soil is the ideal soil for citrus planting. Therefore, the first adjustment effect is recorded as effective adjustment. In order to stabilize the results, no other adjustments are made. The second implementation plan for the soil of that sub-region is recorded as continued monitoring.

[0085] If the first soil salinity accumulation characterization factor of a certain sub-region is greater than or equal to the soil salinity accumulation characterization factor correction threshold, then the first regulation effect is labeled as invalid regulation, and the second implementation scheme for the soil of that sub-region is determined to be the second regulation.

[0086] It should be noted that if the first soil salinity accumulation characteristic factor of a certain sub-region is greater than or equal to the soil salinity accumulation characteristic factor correction threshold, it means that the first adjustment has not adjusted the soil to the ideal effect. In order to make the soil suitable for citrus planting, the second adjustment is carried out.

[0087] In this embodiment, the second adjustment is performed, and the execution process is as follows: The cumulative soil salinity adjustment value of each sub-region is extracted based on the cumulative adjustment deviation value of soil salinity in each sub-region.

[0088] It should be noted that the mapping set corresponding to the cumulative adjustment deviation value of soil salinity in each sub-region and the cumulative adjustment value of soil salinity in each sub-region stored in the database can be extracted. When using this method, the cumulative adjustment deviation value of soil salinity in each sub-region obtained in real time can be input into the mapping set to extract the cumulative adjustment value of soil salinity in each sub-region.

[0089] It should be noted that the larger the soil salinity accumulation adjustment deviation value of each sub-region, the more severe the soil salinity accumulation is. Salinity accumulation will lead to salt stress on the soil. In order to solve the problem of soil salinity accumulation, the salt accumulation problem is adjusted by the soil salinity accumulation adjustment value of each sub-region. Therefore, the larger the corresponding extracted soil salinity accumulation adjustment value of each sub-region.

[0090] A second adjustment was performed based on the cumulative soil salinity adjustment values ​​for each sub-region.

[0091] It should be noted that the soil salinity accumulation adjustment value for each sub-region refers to the soil irrigation rate reduction value. The second adjustment refers to extracting the soil irrigation rate from the system program log, adding the soil irrigation rate reduction value to the soil irrigation rate, and using this as the adjustment value for performing the second adjustment.

[0092] The current soil salinity accumulation characterization factor for each sub-region is obtained and denoted as the second soil salinity accumulation characterization factor for each sub-region.

[0093] If the second soil salinity accumulation characterization factor in each sub-region is less than the soil salinity accumulation characterization factor correction threshold, the second regulation effect label is recorded as effective regulation, and monitoring continues.

[0094] It should be noted that if the second soil salinity accumulation characterization factor in each sub-region is less than the soil salinity accumulation characterization factor correction threshold, it means that the soil salinity accumulation problem has been solved after the second adjustment. Therefore, the effect of the second adjustment is labeled as effective adjustment. In order to reduce the system's computing power consumption and reduce the system's burden, no further adjustment will be performed, and monitoring will continue.

[0095] If the second soil salinity accumulation characterization factor in each sub-region is greater than or equal to the soil salinity accumulation characterization factor correction threshold, the second regulation effect label will be marked as invalid regulation, and an early warning message will be sent.

[0096] It should be noted that if the second soil salinity accumulation characterization factor in each sub-region is greater than or equal to the soil salinity accumulation characterization factor correction threshold, it means that the salinity accumulation problem has not been solved after the second adjustment. Therefore, the effect of the second adjustment is marked as invalid adjustment. The problem still exists after two adjustments. At this time, the system cannot solve the problem through adjustment, so an early warning message needs to be sent.

[0097] The citrus absorption efficiency analysis module is used to analyze the characterization factors of citrus absorption efficiency, determine the third implementation plan for soil in each sub-region, and perform pH adjustment.

[0098] By implementing pH adjustment, the soil that requires pH adjustment is specifically regulated to bring the pH value within the optimal range for citrus cultivation. This improves the nutrient absorption efficiency of citrus roots, precisely adjusts micronutrient supplementation and fertilization programs, enhances soil nutrient utilization, and improves the yield and quality of citrus.

[0099] See Figure 3The diagram shows a flowchart of the third execution plan for judging the soil in each sub-region, as described in an embodiment of the present invention. The plan involves collecting citrus absorption efficiency characterization parameters for each sub-region, analyzing citrus absorption efficiency characterization factors for each sub-region, comparing these factors with a threshold, and recording the third execution plan for the soil in that sub-region as "continue monitoring" if the value is greater than the threshold. If the value is less than or equal to the threshold, the third execution plan for the soil in that sub-region is recorded as "perform pH adjustment," and that sub-region is designated as the pH adjustment sub-region.

[0100] In this embodiment, the characterization factors of citrus absorption efficiency are analyzed, and the specific analysis process is as follows: The absorption efficiency of citrus was characterized by collecting parameters from each sub-region, including the average pH value of the soil in each sub-region and the average relative chlorophyll content of citrus leaves in each sub-region.

[0101] It should be noted that the average pH value refers to the average soil pH value within a period, and the average relative chlorophyll content of citrus leaves refers to the average relative chlorophyll content of citrus leaves within a period. The relative chlorophyll content refers to the amount of chlorophyll per unit mass or volume of plant leaves.

[0102] It should be noted that the average pH value of the soil in each sub-region can be obtained by an alloy probe sensor, and the average relative chlorophyll content of citrus leaves in each sub-region can be detected by dual wavelengths in multispectral technology, and then digitally converted by a transimpedance amplifier to obtain the quantitative value of the relative chlorophyll content of citrus leaves.

[0103] It should be noted that the average pH value of the soil in each sub-region increases within a period. Abnormal fluctuations in soil pH value will weaken the nutrient absorption efficiency of citrus roots, resulting in a decrease in the average relative chlorophyll content of citrus leaves in the corresponding sub-region.

[0104] Based on the analysis of the characterization parameters of citrus absorption efficiency in each sub-region, the characterization factors of citrus absorption efficiency in each sub-region were obtained.

[0105] The citrus absorption efficiency characterization factor for each sub-region is a quantitative representation of the influence of the average pH value of the soil in each sub-region and the average relative chlorophyll content of citrus leaves in each sub-region on the citrus absorption efficiency in each sub-region. The specific analysis process is as follows: the average pH value of the soil in each sub-region is deviated from the corresponding ideal value; the average relative chlorophyll content of citrus leaves in each sub-region is compared with the corresponding reference value; and the deviated value and the comparison results are coupled with the corresponding characteristic allocation coefficients to obtain the citrus absorption efficiency characterization factor for each sub-region.

[0106] It should be noted that the average ideal pH value and the average relative chlorophyll content of reference citrus leaves were extracted from the database.

[0107] Extract the pre-defined pH average characteristic allocation coefficient and the average characteristic allocation coefficient of the relative chlorophyll content of citrus leaves from the database.

[0108] It should be noted that the characteristic distribution coefficients of the average pH value and the average characteristic distribution coefficient of the relative chlorophyll content of citrus leaves both range from 0 to 1, and the sum of the characteristic distribution coefficients of the average pH value and the average characteristic distribution coefficient of the relative chlorophyll content of citrus leaves is 1. When using these coefficients, pre-defined values ​​can be directly extracted from the database. The specific extraction method is as follows: Construct a one-to-one mapping set between the average pH value of the soil in each sub-region, the average relative chlorophyll content of citrus leaves in each sub-region, and the corresponding characteristic distribution coefficients of the average pH value and the relative chlorophyll content of citrus leaves. When using these coefficients, input the obtained average pH value of the soil in each sub-region and the average relative chlorophyll content of citrus leaves in each sub-region into the corresponding mapping set to extract the characteristic distribution coefficients of the average pH value and the relative chlorophyll content of citrus leaves.

[0109] In the specific implementation process, the characterization factors of citrus absorption efficiency in each sub-region are represented as follows: , Among them, B i E is the characterization factor of the citrus absorption efficiency in the i-th sub-region. i E0 is the average pH value of the soil in the i-th sub-region, and P is the ideal average pH value. i P is the average relative chlorophyll content of citrus leaves in the i-th sub-region. vef The reference is the average relative chlorophyll content of citrus leaves, E1 is the characteristic distribution coefficient of the average pH value, P1 is the characteristic distribution coefficient of the average relative chlorophyll content of citrus leaves, and i is the soil number of each sub-region, i=1,2,...,n, where n is the number of soils in the sub-region.

[0110] In this embodiment, the third execution plan for the soil in each sub-region is determined, and the specific determination process is as follows: Extract the preset threshold values ​​for citrus absorption efficiency characterization factors from the database.

[0111] If the citrus absorption efficiency characterization factor in a certain sub-region is greater than the citrus absorption efficiency characterization factor threshold, then the third implementation plan for the soil in that sub-region is recorded as continuing monitoring.

[0112] It should be noted that if the citrus absorption efficiency characterization factor in a certain sub-region is greater than the citrus absorption efficiency characterization factor threshold, it indicates that the citrus root absorption efficiency is good at this time and the soil pH value has not fluctuated significantly. Therefore, no further adjustment is carried out, and the third implementation plan for the soil in that sub-region is recorded as continuing monitoring.

[0113] If the citrus absorption efficiency characterization factor of a certain sub-region is less than or equal to the threshold of the citrus absorption efficiency characterization factor, then the third implementation scheme of the soil in that sub-region is recorded as pH adjustment, and the sub-region is recorded as pH adjustment sub-region.

[0114] It should be noted that if the citrus absorption efficiency characterization factor in a certain sub-region is less than or equal to the threshold of the citrus absorption efficiency characterization factor, it indicates that the citrus absorption efficiency in that region is poor. At this time, the soil pH value has fluctuated abnormally, thereby weakening the nutrient absorption efficiency of the citrus roots. Therefore, the implementation plan should be precisely adjusted to optimize the absorption efficiency of the citrus. Thus, the third implementation plan for the soil in this sub-region is recorded as pH adjustment, and this sub-region is recorded as pH adjustment sub-region, which facilitates targeted adjustment of this region.

[0115] In this embodiment, pH adjustment is performed, and the specific process is as follows: Based on the characterization factors of citrus absorption efficiency in each sub-region, characterization factors of citrus absorption efficiency in each pH-regulated sub-region were extracted.

[0116] The deviation value of the characterization factor of citrus absorption efficiency in each pH regulation sub-region was obtained based on the characterization factor and threshold of the characterization factor of citrus absorption efficiency in each pH regulation sub-region.

[0117] It should be noted that if the characterization factor of citrus absorption efficiency in a certain pH regulation sub-region is L1 and the threshold of the characterization factor of citrus absorption efficiency is L2, then the deviation value of the characterization factor of citrus absorption efficiency in the corresponding pH regulation sub-region is L2-L1.

[0118] Based on the deviation value of the characterization factor for citrus absorption efficiency in each pH regulation sub-region, the regulation set of each pH regulation sub-region is extracted.

[0119] It should be noted that the mapping set corresponding to the deviation values ​​of the characterization factors of citrus absorption efficiency in each pH regulation sub-region stored in the database and the regulation set of each pH regulation sub-region can be extracted by inputting the deviation values ​​of the characterization factors of citrus absorption efficiency in each pH regulation sub-region into the mapping set.

[0120] It should be noted that the larger the deviation value of the characterization factor of citrus absorption efficiency in the pH regulation sub-region, the worse the citrus absorption efficiency in the corresponding pH regulation sub-region, and the greater the impact on citrus planting. This indicates that the pH value of the soil in this region fluctuates more. In order to solve this problem and improve the absorption efficiency of citrus roots, the pH value is adjusted by the values ​​in the regulation set of each pH regulation sub-region to achieve the ideal effect. Therefore, the larger the regulation value in the regulation set of each extracted pH regulation sub-region, the better.

[0121] It should be noted that the adjustment set for each pH adjustment sub-region includes the adjustment values ​​for irrigation water volume, irrigation frequency, and irrigation rate.

[0122] Extract the optimal pH range for citrus planting soil from the database.

[0123] The average pH value of the soil in each pH regulation sub-region was extracted.

[0124] If the average pH value of the soil in a certain pH regulation sub-region is greater than the optimal pH range for citrus planting soil, a first suggestion scheme is generated based on the regulation set of each pH regulation sub-region.

[0125] It should be noted that if the average pH value of the soil in a certain pH adjustment sub-region is greater than the optimal pH range for citrus cultivation soil, it indicates that the average pH value of the soil in that sub-region is alkaline compared to the optimal range. The average pH value of the soil in that sub-region needs to be adjusted. This adjustment refers to extracting the current irrigation water volume, irrigation frequency, and irrigation speed from the program log, adding the adjustment value of the current irrigation water volume to the current irrigation water volume, adding the adjustment value of the current irrigation frequency to the current irrigation frequency, and subtracting the adjustment value of the current irrigation speed from the current irrigation speed.

[0126] It should be noted that at this time, the average soil pH in this sub-region is alkaline compared to the optimal range. Adjusting the amount of irrigation water can promote salt leaching, reduce surface salt accumulation, and lower the pH. Adjusting the irrigation frequency and reducing the irrigation speed can maintain relatively stable soil moisture around the roots and avoid the risk of dehydration. Evenly distributed water can make the pH relatively uniform.

[0127] It should be noted that the first suggestion refers to measures to lower the pH value of the soil. Based on the adjustment set of each pH adjustment sub-region, the corresponding acidification water application value is obtained, and drip irrigation acidification water is applied.

[0128] If the average pH value of the soil in a certain pH regulation sub-region is less than the optimal pH range for citrus planting soil, a second suggestion scheme is generated based on the regulation set of each pH regulation sub-region.

[0129] It should be noted that if the average pH value of the soil in a certain pH adjustment sub-region is less than the optimal pH range for citrus cultivation soil, it indicates that the average pH value of the soil in that sub-region is acidic compared to the optimal range. The average pH value of the soil in that sub-region needs to be adjusted. This adjustment refers to extracting the current irrigation water volume, irrigation frequency, and irrigation speed from the program log, subtracting the adjustment value of the current irrigation water volume from the current irrigation water volume, adding the adjustment value of the current irrigation frequency to the current irrigation frequency, and subtracting the adjustment value of the current irrigation speed from the current irrigation speed.

[0130] It should be noted that the average soil pH in this sub-region is acidic compared to the optimal range. Since acidic soils inherently have ion flow problems, the amount of irrigation water should be reduced and adjusted to decrease nutrient leaching, reduce water infiltration, and prevent nutrients from being washed below the root system. Adjusting the irrigation frequency and speed can maintain root zone activity, inhibit the toxicity of highly active ions in acidic soil to the roots, and prevent soil cracking.

[0131] It should be noted that the first suggestion refers to measures to increase the pH value of the soil. Based on the adjustment set of each pH adjustment sub-region, the corresponding increase value of quicklime application is obtained, and quicklime is applied in a corresponding manner.

[0132] pH adjustment is performed based on the suggested schemes for each pH adjustment sub-region, and pH adjustment information is generated after the adjustment is completed.

[0133] It should be noted that the notification scheme includes a first notification scheme and a second notification scheme. In one specific embodiment, if a pH adjustment sub-region implements the first notification scheme, then drip irrigation of acidified water is performed; if a pH adjustment sub-region implements the second notification scheme, then the application of quicklime is performed.

[0134] The soil quality monitoring system and method for citrus cultivation provided by this invention addresses the problem of salt accumulation caused by continuously increasing soil conductivity by making targeted adjustments to the soil in different regions, regulates the problem of uneven citrus absorption efficiency caused by pH fluctuations in different plots, and precisely adjusts the micronutrient supplementation and fertilization schemes. This ensures the quality and yield of the planted citrus, achieves more efficient resource utilization, maintains soil health, and optimizes the absorption efficiency of citrus roots.

[0135] like Figure 2 The flowchart shown illustrates a method for monitoring soil quality in citrus cultivation, providing a method for monitoring soil quality in citrus cultivation, which includes: S1. Divide the target soil area into sub-regions, analyze the soil salinity accumulation characterization factors in each sub-region, simultaneously analyze the pH regulation information, determine the soil salinity accumulation judgment strategy in each sub-region, and thus determine the first implementation plan for the soil in each sub-region.

[0136] S2, when the first implementation plan for the soil in each sub-region is to carry out irrigation regulation, execute the first regulation, analyze the effect label of the first regulation, and determine the second implementation plan for the soil in each sub-region.

[0137] S3, analyze the characterization factors of citrus absorption efficiency, determine the third implementation plan for soil in each sub-region, and implement pH adjustment.

[0138] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0139] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0140] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0141] It should be understood that, in various embodiments of the present invention, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0142] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0143] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0144] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0145] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0146] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A soil quality monitoring system for citrus cultivation, characterized in that, The system includes: The soil salinity accumulation judgment module is used to divide the target soil area into sub-regions, analyze the soil salinity accumulation characterization factors in each sub-region, simultaneously analyze the pH regulation information, determine the soil salinity accumulation judgment strategy in each sub-region, and thus determine the first execution plan for each sub-region soil. The soil salinity accumulation regulation module is used to execute the first regulation when the first implementation plan for soil in each sub-region is irrigation regulation, analyze the first regulation effect label, and determine the second implementation plan for soil in each sub-region. The citrus absorption efficiency analysis module is used to analyze the characterization factors of citrus absorption efficiency, determine the third implementation plan for soil in each sub-region, and perform pH adjustment.

2. The soil quality monitoring system for citrus cultivation according to claim 1, characterized in that, The analysis of soil salinity accumulation characteristics in each sub-region was conducted as follows: Soil salinity accumulation characterization parameters were collected for each sub-region, including the average change in soil electrical conductivity, the periodic slope of soil electrical conductivity, and the changes in sodium ion concentration and chloride ion concentration. Based on the soil salinity accumulation characterization parameters of each sub-region, analyze the soil salinity accumulation characterization factors of each sub-region; Extract the reference sodium ion concentration change and reference chloride ion concentration change stored in the database; When the change in sodium ion concentration is greater than or equal to zero, the change in sodium ion concentration is compared with the change in sodium ion concentration to obtain the proportionality coefficient of the change in sodium ion concentration. When the change in sodium ion concentration is less than zero, the absolute value of the change in sodium ion concentration is compared with the corresponding change in sodium ion concentration to obtain the proportionality coefficient of the change in sodium ion concentration. When the change in chloride ion concentration is greater than or equal to zero, the change in chloride ion concentration is compared with the change in chloride ion concentration to obtain the chloride ion concentration change ratio coefficient. When the change in chloride ion concentration is less than zero, the absolute value of the change in chloride ion concentration is compared with the corresponding change in chloride ion concentration to obtain the chloride ion concentration change ratio coefficient. By traversing each sub-region, the proportionality coefficients of sodium ion concentration change and chloride ion concentration change in the soil of each sub-region are obtained. The average change in electrical conductivity of soil in each sub-region and the periodic slope of soil electrical conductivity were compared with the corresponding reference values. The proportional coefficients of sodium ion concentration change and chloride ion concentration change in soil in each sub-region were coupled with the corresponding characteristic allocation coefficients to obtain the characterization factor of soil salinity accumulation in each sub-region. The soil salinity accumulation characterization factors for each sub-region are a quantitative representation of the influence of the average change in soil electrical conductivity, the periodic slope of soil electrical conductivity, and the changes in sodium ion concentration and chloride ion concentration on soil salinity accumulation in each sub-region.

3. The soil quality monitoring system for citrus cultivation according to claim 1, characterized in that, The analysis of pH regulation information was used to determine the soil salinity accumulation assessment strategy for each sub-region. The analysis process is as follows: If there is no pH adjustment information in the previous detection cycle for a certain sub-region, the soil salinity accumulation judgment strategy for that sub-region shall be recorded as the first judgment strategy. If pH adjustment information exists in the previous detection period for a certain sub-region, the historical pH change of the soil in that sub-region is obtained, and the soil salinity accumulation judgment strategy for that sub-region is recorded as the second judgment strategy.

4. The soil quality monitoring system for citrus cultivation according to claim 1, characterized in that, The first execution plan for judging the soil in each sub-region, the judgment process is as follows: Extract the preset threshold values ​​for soil salinity accumulation characterization factors from the database; Extract the clay content of soil in each sub-region; The first correction coefficient for the threshold of the soil salinity accumulation characterization factor in each sub-region was obtained based on the clay content of the soil in each sub-region. If the soil salinity accumulation judgment strategy for a certain sub-region is the first judgment strategy, the soil salinity accumulation characterization factor correction threshold is obtained based on the first correction coefficient of the soil salinity accumulation characterization factor threshold and the soil salinity accumulation characterization factor threshold of the corresponding sub-region. If the soil salinity accumulation judgment strategy for a certain sub-region is the second judgment strategy, the second correction coefficient of the soil salinity accumulation characterization factor threshold of the corresponding sub-region is obtained based on the historical pH change of the soil in the corresponding sub-region. Traverse all sub-regions corresponding to the second judgment strategy to obtain the second correction coefficient of the threshold of the soil salinity accumulation characterization factor for each sub-region. Based on the first correction coefficient and the second correction coefficient of the soil salinity accumulation characterization factor threshold of each sub-region, the soil salinity accumulation characterization factor threshold correction coefficient of each sub-region is obtained. The soil salinity accumulation characterization factor correction threshold is obtained based on the soil salinity accumulation characterization factor threshold correction coefficient and the soil salinity accumulation characterization factor threshold in each sub-region. If the soil salinity accumulation characterization factor of a certain sub-region is less than the corresponding soil salinity accumulation characterization factor correction threshold, then the first implementation plan for the soil in that sub-region is recorded as continuing monitoring; If the soil salinity accumulation characterization factor of a certain sub-region is greater than or equal to the corresponding soil salinity accumulation characterization factor correction threshold, then the first implementation plan for the soil in that sub-region is recorded as irrigation regulation.

5. The soil quality monitoring system for citrus cultivation according to claim 1, characterized in that, The execution process of performing the first adjustment and analyzing the first adjustment effect label is as follows: The soil salinity accumulation regulation deviation value of each sub-region is obtained based on the soil salinity accumulation characterization factor and the soil salinity accumulation characterization factor correction threshold. The soil salinity accumulation adjustment set for each sub-region is extracted based on the soil salinity accumulation adjustment deviation value of each sub-region; The soil salinity accumulation adjustment set for each sub-region includes irrigation volume supplementation value and irrigation frequency reduction value; The first regulation is performed based on the soil salinity accumulation regulation set of each sub-region; Obtain the current soil salinity accumulation characterization factor for each sub-region, and denot it as the first soil salinity accumulation characterization factor for each sub-region; If the first soil salinity accumulation characterization factor of a certain sub-region is less than the soil salinity accumulation characterization factor correction threshold, the first regulation effect is marked as effective regulation, and the second implementation plan for the soil of that sub-region is determined to be to continue monitoring. If the first soil salinity accumulation characterization factor of a certain sub-region is greater than or equal to the soil salinity accumulation characterization factor correction threshold, then the first regulation effect is labeled as invalid regulation, and the second implementation scheme for the soil of that sub-region is determined to be the second regulation.

6. The soil quality monitoring system for citrus cultivation according to claim 5, characterized in that, The second adjustment is executed as follows: The cumulative soil salinity adjustment value of each sub-region is extracted based on the cumulative adjustment deviation value of soil salinity in each sub-region; A second adjustment was performed based on the cumulative soil salinity adjustment values ​​for each sub-region; The current soil salinity accumulation characterization factor for each sub-region is obtained and denoted as the second soil salinity accumulation characterization factor for each sub-region; If the second soil salinity accumulation characterization factor in each sub-region is less than the soil salinity accumulation characterization factor correction threshold, the second regulation effect label is recorded as effective regulation, and monitoring continues. If the second soil salinity accumulation characterization factor in each sub-region is greater than or equal to the soil salinity accumulation characterization factor correction threshold, the second regulation effect label will be marked as invalid regulation, and an early warning message will be sent.

7. The soil quality monitoring system for citrus cultivation according to claim 1, characterized in that, The specific analysis process for the characterizing factors of citrus absorption efficiency is as follows: The absorption efficiency of citrus was characterized by collecting parameters from each sub-region, including the average pH value of the soil in each sub-region and the average relative chlorophyll content of citrus leaves in each sub-region. Based on the analysis of the characterization parameters of citrus absorption efficiency in each sub-region, the characterization factors of citrus absorption efficiency in each sub-region were obtained. The citrus absorption efficiency characterization factor for each sub-region is a quantitative representation of the influence of the average pH value of the soil in each sub-region and the average relative chlorophyll content of the citrus leaves in each sub-region on the citrus absorption efficiency in each sub-region. The specific analysis process is as follows: the average pH value of the soil in each sub-region is deviated from the corresponding ideal value; the average relative chlorophyll content of the citrus leaves in each sub-region is compared with the corresponding reference value; and the deviated value and the comparison results are coupled with the corresponding characteristic allocation coefficient to obtain the citrus absorption efficiency characterization factor for each sub-region.

8. The soil quality monitoring system for citrus cultivation according to claim 7, characterized in that, The third execution plan for judging the soil in each sub-region, the specific judgment process is as follows: Extract the preset threshold values ​​for citrus absorption efficiency characterization factors from the database; If the citrus absorption efficiency characterization factor in a certain sub-region is greater than the citrus absorption efficiency characterization factor threshold, then the third implementation plan for the soil in that sub-region is recorded as continuing monitoring. If the citrus absorption efficiency characterization factor of a certain sub-region is less than or equal to the threshold of the citrus absorption efficiency characterization factor, then the third implementation scheme of the soil in that sub-region is recorded as pH adjustment, and the sub-region is recorded as pH adjustment sub-region.

9. The soil quality monitoring system for citrus cultivation according to claim 8, characterized in that, The specific process for performing pH adjustment is as follows: Based on the characterization factors of citrus absorption efficiency in each sub-region, characterization factors of citrus absorption efficiency in each pH-regulated sub-region were extracted. Based on the characterization factors of citrus absorption efficiency in each pH regulation sub-region and the threshold of the characterization factors of citrus absorption efficiency in each pH regulation sub-region, the deviation values ​​of the characterization factors of citrus absorption efficiency in each pH regulation sub-region were obtained. Based on the deviation value of the characterization factor for citrus absorption efficiency in each pH regulation sub-region, the regulation set of each pH regulation sub-region is extracted; Extracting the optimal pH range for citrus-growing soil; Extract the average pH value of the soil in each pH regulation sub-region; If the average pH value of the soil in a certain pH regulation sub-region is greater than the optimal pH range for citrus planting soil, a first suggestion scheme is generated based on the regulation set of each pH regulation sub-region. If the average pH value of the soil in a certain pH regulation sub-region is less than the optimal pH range for citrus planting soil, a second suggestion scheme is generated based on the regulation set of each pH regulation sub-region. pH adjustment is performed based on the suggested schemes for each pH adjustment sub-region, and pH adjustment information is generated after the adjustment is completed.

10. A method for monitoring soil quality for citrus cultivation, wherein the method is applied to the soil quality monitoring system for citrus cultivation as described in any one of claims 1-9, characterized in that, Includes the following steps: S1. Divide the target soil area into sub-regions, analyze the soil salinity accumulation characterization factors in each sub-region, simultaneously analyze the pH regulation information, determine the soil salinity accumulation judgment strategy in each sub-region, and thus determine the first execution plan for each sub-region soil. S2, when the first implementation plan for the soil in each sub-region is to carry out irrigation regulation, execute the first regulation, analyze the effect label of the first regulation, and determine the second implementation plan for the soil in each sub-region. S3, analyze the characterization factors of citrus absorption efficiency, determine the third implementation plan for soil in each sub-region, and implement pH adjustment.

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