Orchard water and fertilizer application monitoring method and system based on cloud computing

Abstract

The invention provides an orchard water and fertilizer application monitoring method and system based on cloud computing, and is suitable for the technical field of data processing, and the method comprises the steps: generating orchard soil correlation feature information according to orchard soil monitoring information, orchard plant growth state information, historical water and fertilizer application information and an orchard soil correlation feature extraction vector; generating orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameter information according to the orchard soil correlation feature information, the orchard soil monitoring sampling frequency range information and the orchard water and fertilizer application monitoring information transmission parameter range information; and according to the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information, carrying out water and fertilizer application monitoring processing on the orchard. According to the application, data redundancy and resource waste are effectively reduced, efficient and accurate monitoring of multiple orchard water and fertilizer application states is realized, and the fine management level and resource utilization efficiency of orchard planting are improved.

Description

Technical Field

[0001] This application belongs to the field of data processing technology, and in particular relates to a cloud computing-based method and system for monitoring water and fertilizer application in orchards. Background Technology

[0002] my country's orchard cultivation is transitioning from traditional experience-based management to modern precision management. The scientific management of soil nutrients and water and fertilizer application directly impacts fruit quality, yield, and the health of the ecological environment. Currently, the rapid development of agricultural Internet of Things (IoT) technology provides data support for this transformation in orchard management.

[0003] In existing technologies, sensors are deployed in orchards to collect data on various aspects of the orchard, thereby enabling the monitoring and management of the orchard.

[0004] However, existing technologies consume a lot of resources during data transmission and computation, and the overall monitoring accuracy and efficiency are difficult to meet the needs of modern orchard precision management. Summary of the Invention

[0005] In view of this, the present application provides a cloud computing-based method and system for monitoring orchard water and fertilizer application, aiming to solve the problems of high data redundancy and resource consumption, and insufficient accuracy and efficiency of water and fertilizer application monitoring in the prior art.

[0006] The first aspect of this application provides a cloud computing-based method for monitoring orchard water and fertilizer application, including:

[0007] Obtain soil monitoring information from multiple orchards, plant growth status information from multiple orchards, and historical water and fertilizer application information from multiple orchards;

[0008] Based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, multiple historical water and fertilizer application information, and multiple preset orchard soil association feature extraction vectors, multiple orchard soil association feature information is generated.

[0009] Based on the multiple orchard soil association feature information, the preset orchard soil monitoring sampling frequency range information, and the preset orchard water and fertilizer application monitoring information transmission parameter range information, the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information are generated.

[0010] Based on the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameters, water and fertilizer application monitoring processing is carried out in the orchard.

[0011] A second aspect of this application provides a cloud computing-based orchard water and fertilizer application monitoring system, comprising:

[0012] The information acquisition module is used to acquire multiple orchard soil monitoring information, multiple orchard plant growth status information, and multiple historical water and fertilizer application information.

[0013] The orchard soil association feature information generation module is used to generate multiple orchard soil association feature information based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, multiple historical water and fertilizer application information, and multiple preset orchard soil association feature extraction vectors.

[0014] The orchard water and fertilizer application monitoring parameter generation module is used to generate orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameter information based on the multiple orchard soil association characteristic information, the preset orchard soil monitoring sampling frequency range information and the preset orchard water and fertilizer application monitoring information transmission parameter range information.

[0015] The water and fertilizer application monitoring and processing module is used to monitor and process water and fertilizer application in the orchard based on the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information.

[0016] A third aspect of this application provides a terminal device, which includes a memory and a processor. The memory stores a computer program that can run on the processor. When the processor executes the computer program, it implements the steps of the cloud computing-based orchard water and fertilizer application monitoring method described in the first aspect above.

[0017] A fourth aspect of this application provides a computer-readable storage medium, comprising: storing a computer program, wherein when executed by a processor, the computer program implements the steps of the cloud computing-based orchard water and fertilizer application monitoring method described in the first aspect above.

[0018] The beneficial effects of this application embodiment compared with the prior art are as follows: This application fully integrates multi-orchard and multi-dimensional data resources, ensuring that the orchard soil monitoring sampling frequency information, orchard water and fertilizer application monitoring information transmission parameters are highly adapted to actual monitoring needs, effectively reducing data redundancy and resource waste, and at the same time achieving efficient and accurate monitoring of the water and fertilizer application status of multiple orchards, providing reliable data support and decision-making basis for the scientific application of water and fertilizer in orchards, and improving the level of refined management and resource utilization efficiency of orchard planting. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the implementation process of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment 1 of this application;

[0021] Figure 2 This is a schematic diagram of the implementation process of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment 2 of this application;

[0022] Figure 3 This is a schematic diagram of the implementation process of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment 3 of this application;

[0023] Figure 4 This is a schematic diagram of the implementation process of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment 4 of this application;

[0024] Figure 5 This is a schematic diagram of the implementation process of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment 5 of this application;

[0025] Figure 6 This is a schematic diagram of the implementation process of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment Six of this application;

[0026] Figure 7 This is a schematic diagram of the structure of the cloud computing-based orchard water and fertilizer application monitoring system provided in this application embodiment;

[0027] Figure 8 This is a schematic diagram of the terminal device provided in the embodiments of this application. Detailed Implementation

[0028] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0029] To illustrate the technical solution described in this application, specific embodiments are provided below.

[0030] Figure 1 The implementation flowchart of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment 1 of this application is shown below in detail:

[0031] Step S101: Obtain multiple orchard soil monitoring information, multiple orchard plant growth status information, and multiple historical water and fertilizer application information.

[0032] In this embodiment, orchard soil monitoring information refers to multi-dimensional data reflecting the physicochemical properties of soil in different areas of different orchards, such as moisture, nitrogen, phosphorus, potassium content, pH value, and electrical conductivity. This data can be collected in real time by rationally deploying soil sensors in different areas of each orchard. Orchard plant growth status information refers to characteristic data reflecting crop growth, such as tree height, leaf area index, leaf color, fruit development stage, and branch growth in different orchards. This data can be obtained through drone aerial photography, field fixed-point photography combined with image recognition technology, and manual fixed-point observation and recording. Historical water and fertilizer application information refers to relevant records of application rates, application times, application methods, application areas, corresponding soil conditions, and crop growth status in different orchards during past water and fertilizer applications. This data can be obtained by exporting existing water and fertilizer management system data in each orchard or by organizing and digitizing historical field management paper records.

[0033] In this embodiment, the orchard soil monitoring information includes orchard soil monitoring area information, orchard soil moisture monitoring information, orchard soil pH monitoring information, and orchard soil nutrient content monitoring information; wherein, the orchard soil monitoring area information, orchard soil moisture monitoring information, orchard soil pH monitoring information, and orchard soil nutrient content monitoring information correspond one-to-one. Among them, orchard soil monitoring area information refers to the specific geographical location range information of each monitoring unit after the orchard is divided, including the regional boundary coordinates and the orchard zoning number, etc., which can be obtained by delineating the monitoring area and recording relevant information through GPS positioning technology combined with orchard topographic mapping data; orchard soil moisture monitoring information refers to the content and distribution of soil moisture in each monitoring area of ​​the orchard, which can be obtained by deploying soil moisture sensors in each monitoring area to collect soil moisture data in real time; orchard soil pH monitoring information refers to the pH value data of the soil in each monitoring area of ​​the orchard, reflecting the strength of soil acidity and alkalinity, which can be obtained by collecting soil samples at the corresponding soil sampling points in each monitoring area and testing with a soil pH meter or by deploying soil pH sensors for real-time monitoring; orchard soil nutrient content monitoring information refers to the content data of key nutrients such as nitrogen, phosphorus, potassium and organic matter in the soil in each monitoring area of ​​the orchard, which can be obtained by collecting soil samples in each monitoring area and sending them to a professional laboratory for chemical analysis or by collecting data in real time through soil nutrient sensors.

[0034] In this embodiment, the historical water and fertilizer application information includes historical water and fertilizer application amount information, historical water and fertilizer application time information, and historical water and fertilizer application area information; wherein, the historical water and fertilizer application amount information, historical water and fertilizer application time information, and historical water and fertilizer application area information correspond one-to-one. Historical water and fertilizer application information refers to the specific quantity data of water and various fertilizers applied to different areas of the orchard in the past, including the application rate per unit area and the total application rate. This information is obtained by exporting past application records stored in the orchard water and fertilizer management system or by organizing and digitizing historical field management paper ledgers. Historical water and fertilizer application time information refers to the specific dates and times of water and fertilizer application in various areas of the orchard in the past. This information is obtained by extracting the application operation timestamps recorded in the water and fertilizer management system or by reviewing and standardizing the time records in historical field management logs. Historical water and fertilizer application area information refers to the specific area range information corresponding to the water and fertilizer application in the orchard in the past, including area number and boundary coordinates. This information is obtained by retrieving the application area data bound to the water and fertilizer management system or by determining the area based on the area identifier recorded in the historical field management records and the orchard zoning map.

[0035] Step S102: Generate multiple orchard soil association feature information based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, multiple historical water and fertilizer application information, and multiple preset orchard soil association feature extraction vectors.

[0036] In this embodiment, the multiple preset orchard soil correlation feature extraction vectors can be manually set. First, the acquired orchard soil monitoring information, orchard plant growth status information, and historical water and fertilizer application information are standardized and preprocessed to unify the data format and dimensions, eliminating differences between data from different sources. Then, the preprocessed three types of data are matched dimension-by-dimensionally with the multiple preset orchard soil correlation feature extraction vectors. Next, feature fusion technology is used to mine the intrinsic correlation between the three types of data and each orchard soil correlation feature extraction vector, filtering out significantly influential correlation factors. Then, weights are assigned to the filtered correlation factors to highlight the contribution of key factors to the orchard soil correlation features. Finally, multi-dimensional feature aggregation operations are used to integrate all correlation factors and their weights to generate multiple orchard soil correlation feature information that accurately reflects the correspondence between orchard soil status and water and fertilizer requirements.

[0037] Step S103: Based on the multiple orchard soil association feature information, the preset orchard soil monitoring sampling frequency range information, and the preset orchard water and fertilizer application monitoring information transmission parameter range information, generate orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameter information.

[0038] In this embodiment, the preset orchard soil monitoring sampling frequency range and the preset orchard water and fertilizer application monitoring information transmission parameter range can both be manually set. First, based on multiple orchard soil-related feature information, and combined with the preset orchard soil monitoring sampling frequency range and the preset orchard water and fertilizer application monitoring information transmission parameter range, the effective value boundaries and constraints are clarified. Then, based on the importance and data change patterns of different features in the multiple orchard soil-related feature information, candidate values ​​for orchard soil monitoring sampling frequency and orchard water and fertilizer application monitoring information transmission parameters that fit the core features are initially screened. Next, the effectiveness of the two types of candidate values ​​is verified, eliminating values ​​that exceed the preset range or have poor compatibility with the related features. The remaining candidate values ​​are iteratively adjusted and optimized. Finally, the optimal orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameter information are determined, ensuring that the two types of parameters not only meet the preset range requirements but also accurately match the actual needs of multiple orchard soil-related feature information.

[0039] In this embodiment, the transmission parameters for orchard water and fertilizer application monitoring information include orchard water and fertilizer application monitoring information transmission bandwidth information, orchard water and fertilizer application monitoring information transmission node redundancy information, and orchard water and fertilizer application monitoring information transmission buffer capacity information.

[0040] In this embodiment, multiple orchard soil-related feature information can be used as the core reference. Combined with the preset range of orchard water and fertilizer application monitoring information transmission parameters, the value constraints and optimization objectives of the orchard water and fertilizer application monitoring information transmission bandwidth, orchard water and fertilizer application monitoring information transmission node redundancy, and orchard water and fertilizer application monitoring information transmission buffer capacity information can be determined. Then, based on the data volume, update frequency, and importance of multiple orchard soil-related feature information, the initial value of the orchard water and fertilizer application monitoring information transmission bandwidth that meets the real-time data transmission requirements can be initially estimated. Subsequently, based on the orchard monitoring area distribution and network topology, an orchard water and fertilizer application monitoring information transmission node redundancy configuration scheme can be planned to determine the initial redundancy information. Then, combined with the initial value of the transmission bandwidth and the data update frequency, the initial value of the orchard water and fertilizer application monitoring information transmission buffer capacity that ensures no data loss can be calculated, ensuring that all parameters are mutually compatible and within the preset range. Finally, the orchard water and fertilizer application monitoring information transmission bandwidth, orchard water and fertilizer application monitoring information transmission node redundancy, and orchard water and fertilizer application monitoring information transmission buffer capacity information are generated.

[0041] Step S104: Based on the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information, water and fertilizer application monitoring processing is carried out in the orchard.

[0042] In this embodiment, the soil sensor's acquisition cycle can be set according to the orchard soil monitoring sampling frequency information. Multiple orchard soil monitoring information and multiple orchard plant growth status information can be collected periodically. Then, based on the orchard water and fertilizer application monitoring information transmission parameters, such as transmission bandwidth, redundancy of transmission nodes, and buffer capacity, the collected monitoring data can be stably transmitted to a cloud computing platform. The cloud computing platform then performs integrity verification and removes invalid data from the transmitted data. Next, by combining multiple historical water and fertilizer application information with multiple generated orchard soil association feature information, the current orchard soil status and water and fertilizer requirements can be matched and analyzed. Finally, based on the analysis results, it can be determined whether the current water and fertilizer application is suitable for the orchard's growth needs, and targeted water and fertilizer application adjustment suggestions or monitoring conclusions to maintain the current plan can be generated, thereby realizing the monitoring and processing of orchard water and fertilizer application.

[0043] The cloud computing-based orchard water and fertilizer application monitoring method provided in this application fully integrates multi-orchard, multi-dimensional data resources to ensure that the orchard soil monitoring sampling frequency information, orchard water and fertilizer application monitoring information transmission parameters are highly compatible with actual monitoring needs. This effectively reduces data redundancy and resource waste, while achieving efficient and accurate monitoring of water and fertilizer application status in multiple orchards. It provides reliable data support and decision-making basis for the scientific application of water and fertilizer in orchards, and improves the level of refined management and resource utilization efficiency in orchard planting.

[0044] Figure 2 The flowchart illustrating the implementation of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment 2 of this application is shown. Its difference from Embodiment 1 above lies in:

[0045] Multiple preset orchard soil association feature extraction vectors include preset orchard water and fertilizer demand feature extraction vectors, preset orchard water and fertilizer demand feature matching vectors, preset orchard soil water and fertilizer demand feature association vectors, and preset orchard soil association feature fusion weight vectors.

[0046] Step S102 specifically includes:

[0047] Step S201: Generate multiple orchard water and fertilizer demand feature information based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, and the preset orchard water and fertilizer demand feature extraction vector.

[0048] In this embodiment, the preset orchard water and fertilizer demand feature extraction vector can be pre-defined manually. First, multiple orchard soil monitoring data and multiple orchard plant growth status data are standardized and preprocessed to unify data format and dimensions to eliminate data differences. Then, the preprocessed data of the two types are compared dimension-by-dimensionally with the preset orchard water and fertilizer demand feature extraction vector. Feature factors directly related to orchard water and fertilizer needs are then selected. Finally, the selected feature factors are refined and integrated to generate multiple orchard water and fertilizer demand feature information that accurately reflects the actual water and fertilizer needs of the orchard.

[0049] Step S202: Based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, multiple historical water and fertilizer application information, and the preset orchard water and fertilizer demand feature matching vector, generate multiple orchard water and fertilizer demand feature matching information.

[0050] In this embodiment, the preset orchard water and fertilizer demand feature matching vector can be pre-set manually. First, multiple orchard soil monitoring data, multiple orchard plant growth status data, and multiple historical water and fertilizer application data can be cleaned and standardized to remove invalid data and unify data standards. Then, the three types of processed data are matched with the preset orchard water and fertilizer demand feature matching vector in a multi-dimensional matching analysis. Subsequently, the correspondences related to water and fertilizer demand features in different datasets can be mined through multiplication. Based on these correspondences, feature combinations with high matching degrees are selected, thereby generating multiple orchard water and fertilizer demand feature matching information.

[0051] Step S203: Generate multiple orchard soil water and fertilizer demand feature association information based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, multiple historical water and fertilizer application information, and the preset orchard soil water and fertilizer demand feature association vector.

[0052] In this embodiment, the preset orchard soil water and fertilizer demand feature association vector can be pre-set manually. Multiple orchard soil monitoring information, multiple orchard plant growth status information, and multiple historical water and fertilizer application information can be integrated to ensure data integrity and consistency. Then, the integrated data is subjected to deep correlation analysis with the preset orchard soil water and fertilizer demand feature association vector. Subsequently, potential correlation patterns between soil condition, plant growth, and historical water and fertilizer application can be mined through multiplication. Finally, key correlation features are extracted based on these correlation patterns, thereby generating multiple orchard soil water and fertilizer demand feature association information.

[0053] Step S204: Generate multiple orchard soil association feature information based on the multiple orchard water and fertilizer demand feature information, multiple orchard water and fertilizer demand feature matching information, multiple orchard soil water and fertilizer demand feature association information, and a preset orchard soil association feature fusion weight vector.

[0054] In this embodiment, the preset orchard soil association feature fusion weight vector can be preset manually. It can be used as the weight to perform a weighted summation on multiple orchard water and fertilizer demand feature information, multiple orchard water and fertilizer demand feature matching information, and multiple orchard soil water and fertilizer demand feature association information, with the result of the weighted summation serving as the multiple orchard soil association feature information.

[0055] In this embodiment, the weights can be assigned to multiple orchard water and fertilizer demand feature information, multiple orchard water and fertilizer demand feature matching information, and multiple orchard soil water and fertilizer demand feature association information according to the preset orchard soil association feature fusion weight vector. Then, the weighted multiple orchard water and fertilizer demand feature information, multiple orchard water and fertilizer demand feature matching information, and multiple orchard soil water and fertilizer demand feature association information are fused layer by layer. Finally, the core association content is extracted through multi-dimensional information aggregation, thereby generating multiple orchard soil association feature information that can comprehensively reflect the relationship between orchard soil and water and fertilizer demand.

[0056] The cloud computing-based orchard water and fertilizer application monitoring method provided in this application improves the accuracy and relevance of orchard soil-related characteristic information. This ensures the compatibility of the orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameters obtained in subsequent calculations with actual monitoring needs. It effectively reduces data redundancy and resource waste, thereby achieving accurate and efficient monitoring of orchard water and fertilizer application status. This provides more reliable data support and decision-making basis for the scientific application of water and fertilizer in orchards, thereby improving the level of refined management and resource utilization efficiency in orchard planting.

[0057] Figure 3 The flowchart illustrating the implementation of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment 3 of this application is shown. The difference between this method and Embodiment 2 is that step S204 specifically includes:

[0058] Step S301: Calculate the product of the multiple orchard water and fertilizer demand feature information and the multiple orchard water and fertilizer demand feature matching information to obtain multiple orchard water and fertilizer demand feature matching variables.

[0059] In this embodiment, the preset orchard water and fertilizer demand feature extraction vector and the preset orchard water and fertilizer demand feature matching vector can be preset manually. First, multiple orchard water and fertilizer demand feature information and multiple orchard water and fertilizer demand feature matching information can be standardized to unify the data format and dimensions, eliminating differences between data from different sources. Then, the processed multiple orchard water and fertilizer demand feature information and multiple orchard water and fertilizer demand feature matching information are multiplied. The results are then filtered to remove obviously unreasonable or unrealistic data. Finally, the remaining valid results are organized and labeled to obtain multiple orchard water and fertilizer demand feature matching variables.

[0060] Step S302: Calculate the product of the multiple orchard water and fertilizer demand characteristic matching variables and the multiple orchard soil water and fertilizer demand characteristic association information to obtain multiple orchard soil water and fertilizer demand characteristic association variables.

[0061] In this embodiment, the preset orchard soil water and fertilizer demand feature association vector can be preset manually. Multiple orchard water and fertilizer demand feature matching variables and multiple orchard soil water and fertilizer demand feature association information can be integrated first to ensure data integrity and consistency. Then, the integrated data is multiplied, and the product result serves as the multiple orchard soil water and fertilizer demand feature association variables.

[0062] Step S303: Based on the multiple orchard soil water and fertilizer demand characteristic correlation variables and the preset orchard soil correlation characteristic fusion weight vector, obtain multiple orchard soil correlation characteristic fusion information.

[0063] In this embodiment, the preset orchard soil correlation feature fusion weight vector can be pre-set manually. First, multiple orchard soil water and fertilizer demand characteristic correlation variables can be correlated with the preset orchard soil correlation feature fusion weight vector to clarify the weight allocation of each variable. Then, based on the weight allocation, multiple orchard soil water and fertilizer demand characteristic correlation variables are weighted and calculated. The weighted calculation results are then summarized and integrated, and finally, the integrated results are standardized to obtain the fusion information of multiple orchard soil correlation features.

[0064] Step S304: The multiple orchard soil association feature fusion information and multiple orchard water and fertilizer demand feature information are added together to obtain multiple orchard water and fertilizer demand feature enhancement information.

[0065] In this embodiment, the preset orchard soil association feature fusion weight vector can be preset manually. First, data alignment processing can be performed on multiple orchard soil association feature fusion information and multiple orchard water and fertilizer demand feature information to ensure consistency in data dimensions. Then, the processed data are added together, and the validity of the addition result is verified, identifying and eliminating any possible errors or abnormal data, thereby obtaining multiple orchard water and fertilizer demand feature enhancement information.

[0066] Step S305: The multiple orchard soil association feature fusion information and the multiple orchard water and fertilizer demand feature matching information are added together to obtain multiple orchard water and fertilizer demand feature matching enhancement information.

[0067] In this embodiment, the preset orchard soil association feature fusion weight vector can be preset manually. First, a detailed data review can be conducted on the fusion information of multiple orchard soil association features and the matching information of multiple orchard water and fertilizer demand features to comprehensively identify any errors or omissions in the data. Then, the reviewed data is added together, and the results are used to remove obviously unrealistic abnormal data. Finally, the remaining data is supplemented and adjusted as necessary to make it more complete and in line with actual needs, thereby obtaining enhanced matching information for multiple orchard water and fertilizer demand features.

[0068] Step S306: Calculate the product of the multiple orchard water and fertilizer demand feature enhancement information and the multiple orchard water and fertilizer demand feature matching enhancement information to obtain multiple orchard soil water and fertilizer demand feature association enhancement variables.

[0069] In this embodiment, the enhanced information of multiple orchard water and fertilizer demand characteristics and the enhanced information of multiple orchard water and fertilizer demand characteristics matching are first standardized and transformed into the same data format. Then, the transformed data are multiplied and the result is used as the association enhancement variable of multiple orchard soil water and fertilizer demand characteristics.

[0070] Step S307: Generate multiple orchard soil association feature information based on the multiple orchard soil water and fertilizer demand feature association enhancement variables and the preset orchard soil association feature fusion weight vector.

[0071] In this embodiment, the preset orchard soil association feature fusion weight vector can be preset manually. Multiple orchard soil water and fertilizer demand feature association enhancement variables can be multiplied with the preset orchard soil association feature fusion weight vector, and the multiplication result serves as multiple orchard soil association feature information.

[0072] The cloud computing-based orchard water and fertilizer application monitoring method provided in this application deeply mines the complex relationships between multi-dimensional data, greatly improving the accuracy and reliability of orchard soil correlation characteristic information. This ensures that the subsequently generated orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameters are highly adapted to the actual monitoring needs of the orchard, effectively reducing data redundancy and resource waste. This lays a solid foundation for achieving accurate and efficient monitoring of orchard water and fertilizer application status, and provides more scientific and reliable data support and decision-making basis for the scientific application of water and fertilizer in orchards. It also powerfully promotes the improvement of the level of refined management and resource utilization efficiency in orchard planting.

[0073] Figure 4 The flowchart illustrating the implementation of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment 4 of this application is shown. The difference between this method and Embodiment 1 is that step S103 specifically includes:

[0074] Step S401: Based on the preset orchard soil monitoring sampling frequency value extraction interval and the preset orchard water and fertilizer application monitoring information transmission parameter value extraction interval, extract values ​​from the preset orchard soil monitoring sampling frequency range information and the preset orchard water and fertilizer application monitoring information transmission parameter range information to obtain multiple orchard soil monitoring sampling frequency information and multiple orchard water and fertilizer application monitoring information transmission parameter information to be screened.

[0075] In this embodiment, both the preset interval for extracting numerical values ​​of the orchard soil monitoring sampling frequency and the preset interval for extracting numerical values ​​of the orchard water and fertilizer application monitoring information transmission parameters can be preset manually. The preset intervals for extracting numerical values ​​of the orchard soil monitoring sampling frequency and the preset intervals for extracting numerical values ​​of the orchard water and fertilizer application monitoring information transmission parameters can be used to systematically extract numerical values ​​from the preset ranges of the orchard soil monitoring sampling frequency and the preset ranges of the orchard water and fertilizer application monitoring information transmission parameters, thereby obtaining multiple orchard soil monitoring sampling frequency information and multiple orchard water and fertilizer application monitoring information transmission parameter information to be screened.

[0076] Step S402: Based on the soil association characteristics of the multiple orchards, the soil monitoring sampling frequency information of the multiple orchards to be screened, and the water and fertilizer application monitoring information transmission parameter information of the multiple orchards to be screened, calculate the quality characterization value information of the water and fertilizer application monitoring of the multiple orchards.

[0077] In this embodiment, the preset intervals for extracting the sampling frequency values ​​of orchard soil monitoring and the preset intervals for extracting the transmission parameters of orchard water and fertilizer application monitoring information can be preset manually. Multiple orchard soil association feature information can be integrated with multiple orchard soil monitoring sampling frequency information and multiple orchard water and fertilizer application monitoring transmission parameter information to ensure data integrity and consistency. Then, the integrated data is multiplied by multiple orchard soil association feature information to obtain multiple orchard water and fertilizer application monitoring quality characterization values.

[0078] Step S403: Calculate the average value of the multiple orchard water and fertilizer application monitoring quality characterization values ​​to obtain the average value information of orchard water and fertilizer application monitoring quality characterization.

[0079] In this embodiment, the average value of all orchard water and fertilizer application monitoring quality characterization values ​​is calculated, and this average value is used as the average value of orchard water and fertilizer application monitoring quality characterization information.

[0080] Step S404: Determine whether the average value of the orchard water and fertilizer application monitoring quality characterization information is greater than or equal to the preset orchard water and fertilizer application monitoring quality characterization threshold; if yes, proceed to step S405; if no, proceed to step S406.

[0081] In this embodiment, the preset threshold for monitoring the quality of orchard water and fertilizer application can be preset manually. The calculated average value of the orchard water and fertilizer application monitoring quality can be compared with the preset threshold to assess whether the overall level of orchard water and fertilizer application monitoring quality meets the manually set expected standard under the current combination of soil monitoring sampling frequency information and water and fertilizer application monitoring information transmission parameters of multiple orchards to be screened.

[0082] Step S405: The maximum value of the multiple orchard water and fertilizer application monitoring quality characterization values ​​corresponds to the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information to be screened, which are used as the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information.

[0083] In this embodiment, when the average value of the orchard water and fertilizer application monitoring quality characterization information is greater than or equal to the preset orchard water and fertilizer application monitoring quality characterization threshold, it indicates that the scheme formed by combining the multiple orchard soil monitoring sampling frequency information and the multiple orchard water and fertilizer application monitoring information transmission parameter information currently selected has reached the expected good level in the overall orchard water and fertilizer application monitoring quality assessment. Then, the multiple orchard water and fertilizer application monitoring quality characterization values ​​can be compared one by one to find the maximum value, and then the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information corresponding to the maximum value can be identified. These two sets of information are used as the finally determined orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameter information.

[0084] Step S406: Based on the preset orchard soil monitoring sampling frequency optimization weight, the preset orchard water and fertilizer application monitoring information transmission parameter optimization weight, the preset orchard soil monitoring sampling frequency range information, and the preset orchard water and fertilizer application monitoring information transmission parameter range information, optimize the multiple orchard soil monitoring sampling frequency information and the multiple orchard water and fertilizer application monitoring information transmission parameter information to be screened, and obtain multiple optimized orchard soil monitoring sampling frequency information and multiple optimized orchard water and fertilizer application monitoring information transmission parameter information.

[0085] In this embodiment, the preset optimization weights for orchard soil monitoring sampling frequency, orchard water and fertilizer application monitoring information transmission parameters, orchard soil monitoring sampling frequency range, and orchard water and fertilizer application monitoring information transmission parameter range can all be preset manually. First, for multiple orchard soil monitoring sampling frequency information and multiple orchard water and fertilizer application monitoring information transmission parameter information to be screened, a weighted calculation can be performed based on the preset optimization weights for the orchard soil monitoring sampling frequency and the preset optimization weights for the orchard water and fertilizer application monitoring information transmission parameters. This is used to determine the degree of emphasis when optimizing different parameters. The weighted calculation results are then used as the multiple optimized orchard soil monitoring sampling frequency information and multiple optimized orchard water and fertilizer application monitoring information transmission parameter information.

[0086] Step S407: Use the soil monitoring sampling frequency information of the multiple optimized orchards as the soil monitoring sampling frequency information of the multiple orchards to be screened, use the water and fertilizer application monitoring information transmission parameter information of the multiple optimized orchards as the water and fertilizer application monitoring information transmission parameter information of the multiple orchards to be screened, and return to step S402.

[0087] In this embodiment, multiple optimized orchard soil monitoring sampling frequency information and multiple optimized orchard water and fertilizer application monitoring information transmission parameters can be used as multiple orchard soil monitoring sampling frequency information and multiple orchard water and fertilizer application monitoring information transmission parameters to be screened. New multiple orchard water and fertilizer application monitoring quality characterization values ​​are calculated to iteratively screen out parameter information that better meets the actual monitoring needs of the orchard, so that the finally determined orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameters can achieve the best match with the actual conditions of the orchard.

[0088] The cloud computing-based orchard water and fertilizer application monitoring method provided in this application ensures that the orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameters are highly adapted to the actual situation of the orchard. This enables accurate and efficient monitoring of the orchard water and fertilizer application status, providing reliable data support and decision-making basis for the scientific application of water and fertilizer in orchards. It allows fruit farmers or managers to formulate water and fertilizer application plans more scientifically and rationally, avoiding resource waste and environmental pollution caused by blind fertilization and irrigation, thereby improving the level of refined management of orchard planting, increasing the utilization efficiency of water resources and fertilizers, and promoting the sustainable development of orchard production.

[0089] Figure 5 The flowchart illustrating the implementation of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment 5 of this application is shown. The difference between this method and Embodiment 4 above is that step S402 specifically includes:

[0090] Step S501: Based on the soil monitoring sampling frequency information of the multiple orchards to be screened and the water and fertilizer application monitoring information transmission parameter information of the multiple orchards to be screened, calculate the redundancy ratio information of water and fertilizer application monitoring of the multiple orchards, the storage occupation information of water and fertilizer application monitoring of the multiple orchards, and the bandwidth information of water and fertilizer application monitoring of the multiple orchards.

[0091] In this embodiment, when calculating the redundancy ratio information of orchard water and fertilizer application monitoring, factors such as the repetition of data transmission and the proportion of invalid data are considered. The duplicate sampling frequency data that may exist in the soil monitoring sampling frequency information of the orchard to be screened is compared and analyzed with the invalid transmission parameter data in the transmission parameter information of the orchard water and fertilizer application monitoring information to obtain multiple orchard water and fertilizer application monitoring redundancy ratio information. Multiple orchard water and fertilizer application monitoring storage occupancy information can be generated by combining factors such as data volume, data storage format, and transmission frequency, based on the amount of soil monitoring data collected at different frequencies and the storage space required for data transmitted according to specific transmission parameters. Furthermore, multiple orchard water and fertilizer application monitoring bandwidth information can be obtained by statistically analyzing conditions such as data transmission rate, transmission time interval, and data peak value, based on the data transmission volume within different time intervals corresponding to the soil monitoring sampling frequency of the orchard to be screened, and the transmission rate specified by the transmission parameters of the orchard water and fertilizer application monitoring information to be screened.

[0092] Step S502: Based on the soil association characteristic information of multiple orchards, the redundancy ratio information of water and fertilizer application monitoring of multiple orchards, the storage occupation information of water and fertilizer application monitoring of multiple orchards, and the bandwidth information of water and fertilizer application monitoring of multiple orchards, calculate the quality characterization value information of water and fertilizer application monitoring of multiple orchards.

[0093] In this embodiment, multiple orchard soil-related feature information can be comprehensively integrated with multiple orchard water and fertilizer application monitoring redundancy ratio information, multiple orchard water and fertilizer application monitoring storage occupancy information, and multiple orchard water and fertilizer application monitoring bandwidth information to ensure data integrity and consistency. For example, the texture, pH, and other related feature information of orchard soil can be matched with the previously calculated redundancy ratio, storage occupancy, and bandwidth information. Then, a weighted summation operation can be performed according to manually set weights. For example, different weights can be assigned to different information, with key nutrient content information in the orchard soil-related feature information having a higher weight and orchard water and fertilizer application monitoring redundancy ratio information having a moderate weight. These weighted information can then be added or multiplied to obtain multiple orchard water and fertilizer application monitoring quality characterization values.

[0094] The cloud computing-based orchard water and fertilizer application monitoring method provided in this application ensures that the orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameters are highly compatible with the actual situation of the orchard. This makes the monitoring of orchard water and fertilizer application status more accurate and efficient, and can provide timely and accurate feedback on the orchard's water and fertilizer status. This not only reduces the waste of water resources and fertilizers and lowers production costs, but also avoids environmental pollution caused by excessive fertilization and irrigation, and promotes the sustainable development of orchard production.

[0095] Figure 6The flowchart illustrating the implementation of the cloud computing-based orchard water and fertilizer application monitoring method provided in Embodiment Six of this application is shown. The difference between this method and Embodiment One is that, after step S104, the method further includes:

[0096] Step S601: Obtain multiple current water and fertilizer application information.

[0097] In this embodiment, the current water and fertilizer application information refers to the specific data corresponding to the water and fertilizer application operation that is currently being performed or has just been completed. This data may include the amount of water and various fertilizers applied, the application time, the application area, the application method, and the orchard soil condition and plant growth status during the corresponding application period. The application operation data can be recorded in real time by installing a data acquisition module on the orchard water and fertilizer application equipment. This data is then combined with soil sensor monitoring data and plant growth status snapshots for the current period. The data is then standardized to eliminate format differences, and finally uploaded to the system database via a wireless transmission module.

[0098] Step S602: Based on the multiple historical water and fertilizer application information, multiple current water and fertilizer application information, multiple orchard soil related characteristic information, and the preset orchard water and fertilizer application prediction model, multiple orchard water and fertilizer application prediction information is obtained.

[0099] In this embodiment, the preset orchard water and fertilizer application prediction model can be a trained LSTM model, a trained random forest model, or a model trained based on a large amount of orchard water and fertilizer management data, or it can be manually set. Multiple historical water and fertilizer application information, multiple current water and fertilizer application information, and multiple orchard soil-related feature information can be used as input information for the orchard water and fertilizer application prediction model. After calculation by the orchard water and fertilizer application prediction model, combined with successful cases from historical data and current soil and application conditions, the water and fertilizer demand patterns at different times and under different soil conditions are analyzed. Then, reference data for water and fertilizer application at different growth stages in the future for each orchard are output, thus obtaining multiple orchard water and fertilizer application prediction information as output.

[0100] The cloud computing-based orchard water and fertilizer application monitoring method provided in this application not only ensures the compatibility of orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameters with the actual situation, but also provides a forward-looking basis for the formulation of subsequent water and fertilizer application plans, effectively avoids resource waste caused by blind application, improves the scientificity and predictability of water and fertilizer management, effectively promotes the improvement of orchard planting precision management level, and helps orchard production achieve the dual goals of high quality, high efficiency and sustainable development.

[0101] Corresponding to the method in the above embodiments, Figure 7The diagram shows a structural block diagram of a cloud-based orchard water and fertilizer application monitoring system provided in an embodiment of this application. For ease of explanation, only the parts related to the embodiments of this application are shown. Figure 7 The example cloud-based orchard water and fertilizer application monitoring system can be the implementing entity of the cloud-based orchard water and fertilizer application monitoring method provided in the aforementioned embodiment 1.

[0102] Reference Figure 7 The cloud-based orchard water and fertilizer application monitoring system includes:

[0103] The information acquisition module 710 is used to acquire multiple orchard soil monitoring information, multiple orchard plant growth status information, and multiple historical water and fertilizer application information.

[0104] The orchard soil association feature information generation module 720 is used to generate multiple orchard soil association feature information based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, multiple historical water and fertilizer application information, and multiple preset orchard soil association feature extraction vectors.

[0105] The orchard water and fertilizer application monitoring parameter generation module 730 is used to generate orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameter information based on the multiple orchard soil association characteristic information, the preset orchard soil monitoring sampling frequency range information and the preset orchard water and fertilizer application monitoring information transmission parameter range information.

[0106] The water and fertilizer application monitoring and processing module 740 is used to monitor and process water and fertilizer application in the orchard based on the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information.

[0107] The process by which each module in the cloud-based orchard water and fertilizer application monitoring system provided in this application implements its respective function can be found in the foregoing. Figure 1 The description of Embodiment 1 shown will not be repeated here.

[0108] It should be understood that the sequence number of each step in the above embodiments 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 this application.

[0109] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0110] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0111] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0112] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0113] The cloud computing-based orchard water and fertilizer application monitoring method provided in this application can be applied to terminal devices such as mobile phones, tablets, wearable devices, and vehicle-mounted devices. This application does not impose any restrictions on the specific type of terminal device.

[0114] For example, the terminal device may be a station in a WLAN, a cellular phone, a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, an in-vehicle device, a vehicle networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, a user premises equipment and / or other devices for communication on a wireless system, as well as next-generation communication systems, such as mobile terminals in 5G networks or mobile terminals in future evolved public terrestrial mobile networks.

[0115] Figure 8 This is a schematic diagram of the structure of a terminal device provided in an embodiment of this application. For example... Figure 8 As shown, the terminal device 8 in this embodiment includes: at least one processor 80 ( Figure 8Only one is shown in the image), and a memory 81 is stored in which a computer program 82 that can run on the processor 80 is stored. When the processor 80 executes the computer program 82, it implements the steps in the above-described embodiments of the cloud computing-based orchard water and fertilizer application monitoring method, for example... Figure 1 Steps S101 to S104 are shown. Alternatively, when the processor 80 executes the computer program 82, it implements the functions of each module / unit in the above system embodiments, for example... Figure 7 The functions of modules 710 to 740 are shown.

[0116] The terminal device 8 can be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor 80 and a memory 81. Those skilled in the art will understand that... Figure 8 This is merely an example of terminal device 8 and does not constitute a limitation on terminal device 8. It may include more or fewer components than shown, or combine certain components, or different components. For example, the terminal device may also include input transmission devices, network access devices, buses, etc.

[0117] The processor 80 may be a central processing unit, or it may be other general-purpose processors, digital signal processors, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0118] In some embodiments, the memory 81 may be an internal storage unit of the terminal device 8, such as a hard disk or memory of the terminal device 8. The memory 81 may also be an external storage device of the terminal device 8, such as a plug-in hard disk or smart memory card equipped on the terminal device 8. Furthermore, the memory 81 may include both internal and external storage units of the terminal device 8. The memory 81 is used to store operating systems, applications, data, and other programs, such as the program code of the computer program. The memory 81 can also be used to temporarily store data that has been sent or will be sent.

[0119] Furthermore, the functional units in the various embodiments of this application 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. The integrated unit can be implemented in hardware or as a software functional unit.

[0120] This application also provides a terminal device, which includes at least one memory, at least one processor, and a computer program stored in the at least one memory and executable on the at least one processor. When the processor executes the computer program, it causes the terminal device to implement the steps in any of the above method embodiments.

[0121] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the various method embodiments above.

[0122] This application provides a computer program product that, when run on a terminal device, enables the terminal device to implement the steps described in the various method embodiments above.

[0123] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0124] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0125] 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 implementation should not be considered beyond the scope of this application.

[0126] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0127] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A cloud computing-based method for monitoring water and fertilizer application in orchards, characterized in that, include: Obtain soil monitoring information from multiple orchards, plant growth status information from multiple orchards, and historical water and fertilizer application information from multiple orchards; Based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, multiple historical water and fertilizer application information, and multiple preset orchard soil association feature extraction vectors, multiple orchard soil association feature information is generated. Based on the multiple orchard soil association feature information, the preset orchard soil monitoring sampling frequency range information, and the preset orchard water and fertilizer application monitoring information transmission parameter range information, the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information are generated. Based on the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameters, water and fertilizer application monitoring processing is carried out in the orchard.

2. The orchard water and fertilizer application monitoring method based on cloud computing as described in claim 1, characterized in that, The orchard soil monitoring information includes orchard soil monitoring area information, orchard soil moisture monitoring information, orchard soil pH monitoring information, and orchard soil nutrient content monitoring information; wherein, the orchard soil monitoring area information, orchard soil moisture monitoring information, orchard soil pH monitoring information, and orchard soil nutrient content monitoring information correspond one-to-one. The historical water and fertilizer application information includes historical water and fertilizer application amount information, historical water and fertilizer application time information, and historical water and fertilizer application area information; wherein, the historical water and fertilizer application amount information, historical water and fertilizer application time information, and historical water and fertilizer application area information correspond one-to-one. The orchard water and fertilizer application monitoring information transmission parameters include orchard water and fertilizer application monitoring information transmission bandwidth information, orchard water and fertilizer application monitoring information transmission node redundancy information, and orchard water and fertilizer application monitoring information transmission cache capacity information.

3. The orchard water and fertilizer application monitoring method based on cloud computing as described in claim 1, characterized in that, Multiple preset orchard soil association feature extraction vectors include preset orchard water and fertilizer demand feature extraction vectors, preset orchard water and fertilizer demand feature matching vectors, preset orchard soil water and fertilizer demand feature association vectors, and preset orchard soil association feature fusion weight vectors. The step of generating multiple orchard soil association feature information based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, multiple historical water and fertilizer application information, and multiple preset orchard soil association feature extraction vectors specifically includes: Based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, and the preset orchard water and fertilizer demand feature extraction vector, multiple orchard water and fertilizer demand feature information are generated. Based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, multiple historical water and fertilizer application information, and the preset orchard water and fertilizer demand feature matching vector, multiple orchard water and fertilizer demand feature matching information are generated. Based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, multiple historical water and fertilizer application information, and the preset orchard soil water and fertilizer demand feature association vector, multiple orchard soil water and fertilizer demand feature association information is generated. Based on the multiple orchard water and fertilizer demand feature information, multiple orchard water and fertilizer demand feature matching information, multiple orchard soil water and fertilizer demand feature association information, and the preset orchard soil association feature fusion weight vector, multiple orchard soil association feature information are generated.

4. The orchard water and fertilizer application monitoring method based on cloud computing as described in claim 3, characterized in that, The step of generating multiple orchard soil association feature information based on the multiple orchard water and fertilizer demand feature information, multiple orchard water and fertilizer demand feature matching information, multiple orchard soil water and fertilizer demand feature association information, and a preset orchard soil association feature fusion weight vector specifically includes: Calculate the product of the multiple orchard water and fertilizer demand characteristic information and the multiple orchard water and fertilizer demand characteristic matching information to obtain multiple orchard water and fertilizer demand characteristic matching variables; Calculate the product of the multiple orchard water and fertilizer demand characteristic matching variables and the multiple orchard soil water and fertilizer demand characteristic association information to obtain multiple orchard soil water and fertilizer demand characteristic association variables; Based on the multiple orchard soil water and fertilizer demand characteristic correlation variables and the preset orchard soil correlation characteristic fusion weight vector, multiple orchard soil correlation characteristic fusion information is obtained; The multiple orchard soil correlation feature fusion information and multiple orchard water and fertilizer demand feature information are added together to obtain multiple orchard water and fertilizer demand feature enhancement information. The multiple orchard soil association feature fusion information and multiple orchard water and fertilizer demand feature matching information are added together to obtain multiple orchard water and fertilizer demand feature matching enhancement information; Calculate the product of the enhanced information of water and fertilizer demand characteristics of multiple orchards and the enhanced information of matching water and fertilizer demand characteristics of multiple orchards to obtain the associated enhanced variables of soil water and fertilizer demand characteristics of multiple orchards. Based on the multiple orchard soil water and fertilizer demand characteristics associated enhancement variables and the preset orchard soil association feature fusion weight vector, multiple orchard soil association feature information is generated.

5. The orchard water and fertilizer application monitoring method based on cloud computing as described in claim 2, characterized in that, The step of generating orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameter information based on the multiple orchard soil correlation feature information, the preset orchard soil monitoring sampling frequency range information, and the preset orchard water and fertilizer application monitoring information transmission parameter range information specifically includes: Based on the preset sampling frequency value extraction interval for orchard soil monitoring and the preset water and fertilizer application monitoring information transmission parameter value extraction interval for orchard, the preset orchard soil monitoring sampling frequency range information and the preset water and fertilizer application monitoring information transmission parameter range information are extracted to obtain multiple orchard soil monitoring sampling frequency information and multiple orchard water and fertilizer application monitoring information transmission parameter information to be screened. Based on the soil association characteristics of multiple orchards, the soil monitoring sampling frequency information of multiple orchards to be screened, and the water and fertilizer application monitoring information transmission parameter information of multiple orchards to be screened, the quality characterization values ​​of water and fertilizer application monitoring of multiple orchards are calculated. Calculate the average value of the multiple orchard water and fertilizer application monitoring quality characterization values ​​to obtain the average value of orchard water and fertilizer application monitoring quality characterization information; Determine whether the average value of the orchard water and fertilizer application monitoring quality characterization information is greater than or equal to the preset orchard water and fertilizer application monitoring quality characterization threshold. If so, the maximum value of the multiple orchard water and fertilizer application monitoring quality characterization values ​​will be used as the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information. If not, then based on the preset orchard soil monitoring sampling frequency optimization weight, the preset orchard water and fertilizer application monitoring information transmission parameter optimization weight, the preset orchard soil monitoring sampling frequency range information, and the preset orchard water and fertilizer application monitoring information transmission parameter range information, the multiple orchard soil monitoring sampling frequency information and the multiple orchard water and fertilizer application monitoring information transmission parameter information to be screened are optimized and calculated to obtain multiple optimized orchard soil monitoring sampling frequency information and multiple optimized orchard water and fertilizer application monitoring information transmission parameter information. The sampling frequency information of the multiple optimized orchard soil monitoring is used as the sampling frequency information of multiple orchards to be screened, and the transmission parameter information of the multiple optimized orchard water and fertilizer application monitoring information is used as the transmission parameter information of the multiple orchard water and fertilizer application monitoring information to be screened. Then, the process is returned to the step of calculating the quality characterization value information of multiple orchard water and fertilizer application monitoring based on the multiple orchard soil association feature information, the multiple orchard soil monitoring sampling frequency information and the multiple orchard water and fertilizer application monitoring information transmission parameter information.

6. The orchard water and fertilizer application monitoring method based on cloud computing as described in claim 5, characterized in that, The step of calculating the quality characterization values ​​of water and fertilizer application monitoring in multiple orchards based on the soil association characteristics, soil monitoring sampling frequency information of multiple orchards to be screened, and water and fertilizer application monitoring information transmission parameter information of multiple orchards to be screened specifically includes: Based on the soil monitoring sampling frequency information and water and fertilizer application monitoring information transmission parameter information of the multiple orchards to be screened, the redundancy ratio information, storage occupation information, and bandwidth information of water and fertilizer application monitoring of the multiple orchards are calculated. Based on the soil association characteristics of multiple orchards, the redundancy ratio of water and fertilizer application monitoring in multiple orchards, the storage occupancy of water and fertilizer application monitoring in multiple orchards, and the bandwidth of water and fertilizer application monitoring in multiple orchards, the quality characterization values ​​of water and fertilizer application monitoring in multiple orchards are calculated.

7. The orchard water and fertilizer application monitoring method based on cloud computing as described in claim 1, characterized in that, After the step of monitoring and processing the orchard's water and fertilizer application based on the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information, the method further includes: Obtain multiple current water and fertilizer application information; Based on the aforementioned historical water and fertilizer application information, current water and fertilizer application information, orchard soil correlation characteristic information, and a preset orchard water and fertilizer application prediction model, multiple orchard water and fertilizer application prediction information are obtained.

8. A cloud computing-based orchard water and fertilizer application monitoring system, characterized in that, include: The information acquisition module is used to acquire multiple orchard soil monitoring information, multiple orchard plant growth status information, and multiple historical water and fertilizer application information. The orchard soil association feature information generation module is used to generate multiple orchard soil association feature information based on the multiple orchard soil monitoring information, multiple orchard plant growth status information, multiple historical water and fertilizer application information, and multiple preset orchard soil association feature extraction vectors. The orchard water and fertilizer application monitoring parameter generation module is used to generate orchard soil monitoring sampling frequency information and orchard water and fertilizer application monitoring information transmission parameter information based on the multiple orchard soil association characteristic information, the preset orchard soil monitoring sampling frequency range information and the preset orchard water and fertilizer application monitoring information transmission parameter range information. The water and fertilizer application monitoring and processing module is used to monitor and process water and fertilizer application in the orchard based on the orchard soil monitoring sampling frequency information and the orchard water and fertilizer application monitoring information transmission parameter information.

9. A terminal device, characterized in that, The terminal device includes a memory and a processor. The memory stores a computer program that can run on the processor. When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 7.

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