Tree seed recognition and adoption service system and method

Abstract

The invention relates to the technical field of tree accreditation management, in particular to a tree accreditation service system and method, and the system comprises a tree identification and growth monitoring module, a growth data analysis module, an accreditation scheme generation module, an accreditation scheme implementation module, a user participation analysis module and an accreditation user interaction platform module. According to the invention, through the image identification and environment sensing technology, high-precision real-time monitoring of the growth state of the tree is realized, comprehensive data about climate and soil can be automatically captured and analyzed, dynamic assessment of tree health is carried out, maintenance measures are adjusted in real time, and it is ensured that the tree can be nursed most properly under various environment conditions. Through deep analysis of user participation data and accurate identification of key participation causes in an acceptance activity, the interaction and participation degree of users are effectively improved, the understanding of the public on natural protection responsibilities is increased, the management efficiency of tree acceptance is improved, and the social influence and sustainability of the acceptance activity are also significantly enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of tree adoption management, and in particular to a tree planting and adoption service system and method. Background Art

[0002] The field of tree adoption management technology involves environmental protection and the maintenance of ecological balance, focusing on supporting and promoting the planting, care and monitoring of trees through technical means. This field combines ecological principles with modern technologies such as database management, geographic information systems (GIS), mobile applications and network platforms to achieve effective management of tree adoption, including tracking the growth status, health status and required care measures of trees, as well as providing a platform for individuals or organizations to select specific trees for adoption, which not only enhances the public's sense of participation in environmental protection, but also contributes to the data-based management of urban greening and forest protection.

[0003] Among them, the tree planting and adoption service system is a system applied in the field of tree adoption management technology, which aims to simplify and optimize people's tree adoption process. The system provides an interactive interface that allows users to select, plant and adopt trees. It usually includes functions such as user management, tree information registration, adoption records and tracking of tree health status. Its main purpose is to promote public participation in environmental protection, increase citizens' sense of responsibility for nature conservation through adoption activities, and also help cities and rural areas enhance their green coverage and the quality of the ecosystem.

[0004] Existing tree management systems mostly rely on regular data updates, lack an immediate feedback mechanism, and cannot flexibly respond to sudden environmental changes, resulting in insufficient or inaccurate monitoring of tree health and implementation of care measures. At the same time, participating in tree planting activities is the most direct way for the general public to participate in greening the motherland, and it is also the most effective way for citizens of appropriate age to fulfill their obligations to plant trees. However, the growth cycle of trees is relatively long, and methods such as nurturing, management, and adoption are all forms of voluntary tree planting. In the traditional offline adoption model, in addition to getting an adoption sign with a name on it, the adopter can only understand the growth of the adopted tree by regularly visiting the site, and cannot deeply participate in maintenance. The adopter's experience is limited, so the enthusiasm for adoption is not high and the participation is low. The lack of effective user behavior analysis tools and participation incentive mechanisms has led to insufficient public participation, affecting the promotion effect and long-term influence of tree adoption projects, and limiting the potential of existing technologies in promoting public environmental protection actions and improving urban greening efficiency. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a tree planting and adoption service system and method.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: A tree planting and adoption service system comprises: The tree identification and growth monitoring module uses cameras to capture images of trees, deploys sensors to obtain climate and soil data, analyzes image data to identify tree species, records and tracks tree growth conditions, and generates tree species and growth profiles; The growth data analysis module analyzes the growth data of the trees based on the tree species and growth archives, detects the correlation between environmental parameters and growth indicators, evaluates the health status and growth trend of the trees, and outputs the tree health and growth analysis records; The adoption plan generation module designs the adoption details of each tree according to the health and growth analysis records, including water, nutrient management and pest and disease prevention, creates a targeted adoption plan for each tree, and forms a customized tree adoption plan; The adoption program implementation module monitors the adoption implementation process according to the customized tree adoption program, records the implementation details of irrigation, fertilization and pruning, verifies the consistency and effectiveness of the program implementation, and generates adoption implementation records; The user participation analysis module extracts data based on the adoption implementation record, analyzes the completion of the adoption task and the user participation, performs statistical analysis on the user activity log and the task completion rate, and generates a user participation analysis record; The adoption user interactive platform module utilizes the user participation analysis records to establish forums, real-time chat functions and user story sharing areas to track user behavior, promote communication and experience sharing among adopters, and create an interactive platform for tree planting and adoption services.

[0007] As a further solution of the present invention, the tree species and growth archive includes tree species identification results, growth monitoring records and environmental data records, the tree health and growth analysis records include growth index analysis results, environmental parameter correlation analysis records and health assessment results, the customized tree adoption plan includes a water management plan, a nutrient supply plan and pest and disease control measures, the adoption implementation records include irrigation records, fertilization records and pruning records, and the user participation analysis records include completion statistics records, user participation analysis results and user activity logs.

[0008] As a further solution of the present invention, the tree identification and growth monitoring module includes: The image capture submodule uses a camera to capture real-time images of trees, ensures image clarity through automatic focusing, performs color and edge enhancement processing on the image, and obtains tree image data; The environmental data analysis submodule identifies tree species through image analysis based on the tree image data, deploys environmental sensors to collect climate and soil data, and comprehensively analyzes the tree growth environment to obtain tree growth environment information; The archive generation submodule records the growth history and current status of each tree through the growth environment information, summarizes and updates the information through data integration, and generates tree species and growth archives.

[0009] As a further solution of the present invention, the growth data analysis module includes: The data collection submodule collects key growth data and environmental parameters of trees based on the tree species and growth archives, uses time series analysis to reveal periodic changes in the data and integrates the data to obtain a comprehensive data set; The correlation analysis submodule analyzes the correlation between climate change and tree growth indicators based on the comprehensive data set, and obtains the correlation analysis results by comparing the interaction strength between the indicators and determining the weights of the influencing factors; The health assessment submodule uses the correlation analysis results to analyze abnormal indicators of current tree growth, determines the health status of trees through quantitative growth deviation analysis, predicts future growth trends of trees, and generates tree health and growth analysis records.

[0010] As a further solution of the present invention, the association analysis submodule is according to the formula: ; Calculate the correlation coefficient between climate change and tree growth indicators ,in, For the Observed values ​​of climate variables, For the Observed values ​​of tree growth indicators, is the average value of the climate variable, is the average value of tree growth index, A weight for each observation pair, used to adjust the influence of the observation in the calculation.

[0011] As a further solution of the present invention, the adoption plan generation module includes: The health data analysis submodule analyzes the growth parameters and health indicators of each tree according to the health and growth analysis records, identifies potential diseases and growth problems by comparing abnormal indicators with conventional data, and generates a tree health status record; The adoption details design submodule plans water and nutrient management plans based on the tree health status records, designs pest and disease prevention measures based on the current health status, formulates adaptive maintenance measures by simulating the tree response under differentiated climatic conditions, and forms a tree maintenance details plan; The program customization submodule uses the tree maintenance detail plan and combines the actual needs and maintenance history records of each tree to optimize the adoption plan, ensure the practicality of the plan and user satisfaction, and generate a customized tree adoption plan.

[0012] As a further solution of the present invention, the adoption scheme implementation module includes: The monitoring execution submodule monitors the irrigation and fertilization behaviors in real time based on the customized tree adoption plan, records soil moisture and fertilizer distribution data through sensors, analyzes the consistency with the predetermined plan, and generates implementation monitoring records; The detail recording submodule utilizes the implementation monitoring record to register the quantitative details of each irrigation, fertilization and pruning, including the amount of water used, the type of fertilizer and the frequency of pruning, and retains the operation record through data management to form the operation execution details; The effect verification submodule uses comparative analysis to evaluate the consistency between the implementation effect of the adoption plan and the predetermined goals based on the execution details of the operation, verifies the effectiveness of the plan by analyzing the tree growth data and the improvement of health status, and generates an adoption implementation record.

[0013] As a further solution of the present invention, the user participation analysis module includes: The data extraction submodule extracts the user's irrigation, fertilization and pruning activity data based on the adoption implementation records, records the time, duration and frequency of each activity, performs preliminary cleaning and classification on the collected data, and generates an activity data set; The engagement analysis submodule measures the completion rate and overall engagement of user tasks based on the activity data set, identifies the periodicity and trend changes of the participation activities, draws a time distribution diagram of the participation, and forms an engagement analysis result; The analysis record generation submodule uses the participation analysis results to perform data integration, display the statistical characteristics of the adoption user activities and the task completion status, and generate user participation analysis records.

[0014] As a further solution of the present invention, the adoption user interaction platform module includes: The social interaction submodule creates a user interaction online platform based on the user participation analysis record through network programming and interface design, promotes real-time interaction and communication between users, and generates a communication platform construction record; The user behavior tracking submodule builds records based on the communication platform, monitors the frequency and participation of users on the platform, collects users' click-through rate, page visit duration and interaction data, analyzes user behavior patterns, and forms user activity analysis results; The content sharing submodule establishes a user story sharing area through the user activity analysis results, allows users to upload and share adoption experiences, strengthens the rating and comment functions through content management, and creates an interactive platform for tree planting and adoption services.

[0015] A tree planting and adoption service method comprises the following steps: S1: Use cameras to capture real-time images of trees, perform color and edge enhancement on the images, identify tree species and health conditions, deploy environmental sensors to collect climate and soil data, record the growth history and current conditions of each tree, and generate tree species and growth archives; S2: Based on the tree species and growth archives, reveal the periodic changes in data, analyze the correlation between climate change and tree growth indicators, judge the health status of trees by comparing the interaction strength between indicators, and generate tree health and growth analysis records; S3: Based on the health and growth analysis records, identify potential diseases and growth problems, plan water and nutrient management plans and optimize the adoption plan, monitor irrigation and fertilization behaviors in real time, evaluate the consistency of the implementation effect of the adoption plan with the predetermined goals, and generate adoption implementation records; S4: Based on the adoption implementation records, perform data cleaning and classification, calculate the completion rate and overall participation of users' tasks, identify the periodicity and trend changes of participation activities, display the statistical characteristics of the adoption user activities and the completion of tasks, and generate user participation analysis records; S5: Based on the user participation analysis records, monitor the frequency and participation of users on the platform, analyze user behavior patterns, establish a user story sharing area, and create an interactive platform for tree planting and adoption services.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, through image recognition and environmental sensing technology, high-precision real-time monitoring of the growth status of trees is achieved, and comprehensive data on climate and soil can be automatically captured and analyzed, tree health can be dynamically evaluated, and maintenance measures can be adjusted in real time to ensure that trees can receive the most appropriate care under various environmental conditions. Through in-depth analysis of user participation data, key participation motivations in adoption activities can be accurately identified, effectively improving user interaction and participation, increasing public awareness of nature conservation responsibilities, and promoting broader social participation and environmental awareness. This not only improves the management efficiency of tree adoption, but also significantly enhances the social influence and sustainability of adoption activities. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a system flow chart of the present invention; Figure 2 It is a flow chart of the tree identification and growth monitoring module of the present invention; Figure 3 is a flow chart of the growth data analysis module of the present invention; Figure 4 A flow chart of a module for generating an adoption plan of the present invention; Figure 5It is a flow chart of the adoption scheme implementation module of the present invention; Figure 6 A flowchart of a user participation analysis module of the present invention; Figure 7 This is a flow chart of the adoption user interaction platform module of the present invention; Figure 8 It is a schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0020] See also Figure 1 The present invention provides a technical solution: a tree planting and adoption service system includes: The tree identification and growth monitoring module uses cameras to capture images of trees, deploys sensors to obtain climate and soil data, analyzes image data to identify tree species, records and tracks tree growth conditions, and generates tree species and growth profiles; The growth data analysis module analyzes tree growth data based on tree species and growth archives, detects the correlation between environmental parameters and growth indicators, evaluates the health status and growth trend of trees, and outputs tree health and growth analysis records; The adoption plan generation module designs the adoption details of each tree based on the health and growth analysis records, including water, nutrient management and pest and disease prevention, and creates a targeted adoption plan for each tree to form a customized tree adoption plan; The adoption program implementation module monitors the adoption implementation process according to the customized tree adoption program, records the implementation details of irrigation, fertilization and pruning, verifies the consistency and effectiveness of the program implementation, and generates adoption implementation records; The user participation analysis module extracts data based on the adoption implementation records, analyzes the completion of adoption tasks and user participation, performs statistical analysis on user activity logs and task completion rates, and generates user participation analysis records; The adoption user interactive platform module utilizes user participation analysis records to set up forums, real-time chat functions and user story sharing areas to track user behavior, promote communication and experience sharing among adopters, and create an interactive platform for tree planting and adoption services.

[0021] Tree species and growth archives include tree species identification results, growth monitoring records and environmental data records; tree health and growth analysis records include growth index analysis results, environmental parameter correlation analysis records and health assessment results; customized tree adoption plans include water management plans, nutrient supply plans and pest and disease control measures; adoption implementation records include irrigation records, fertilization records and pruning records; user participation analysis records include completion statistics records, user participation analysis results and user activity logs.

[0022] See also Figure 2 ,The tree identification and growth monitoring module includes the image capturing submodule, the ,environmental data analysis submodule, and the archive generating submodule. The image capture submodule uses a camera to capture real-time images of trees, ensures image clarity through automatic focusing, performs color and edge enhancement processing on the image, and obtains tree image data; The image capture submodule uses a camera to capture real-time images of trees, ensures image clarity through autofocus, receives light reflection information in real time through the camera's high-precision sensor, and performs preliminary screening of the information to eliminate light interference caused by weather changes such as rainy weather. Next, the image preprocessing module is called. This module is equipped with color balance and edge detection algorithms. First, the color temperature and contrast of the image are adjusted to make the image color close to the natural state, and then the clarity of the tree edges is enhanced. The tree contour lines are extracted through the edge enhancement algorithm to obtain high-quality tree image data. These data will be directly transmitted to the server for storage and subsequent processing.

[0023] The environmental data analysis submodule is based on tree image data. It identifies tree species through image analysis, deploys environmental sensors to collect climate and soil data, and comprehensively analyzes the tree growth environment to obtain tree growth environment information. The environmental data analysis submodule identifies tree species through image analysis based on tree image data. During the identification process, the analysis submodule first extracts key features in the image, such as leaf shape, flower color and other features, and matches them with the tree species features pre-stored in the database. Once the match is successful, the corresponding tree species is immediately marked. At the same time, environmental sensors are deployed around the trees to collect key climate data such as temperature, humidity and soil data such as pH value and soil moisture. In addition, the system identifies environmental factors that may affect tree growth based on the collected climate change trends, comprehensively evaluates the environmental conditions for tree growth through detailed data, and stores the results in the environmental analysis database to provide decision support for subsequent tree management.

[0024] The archive generation submodule records the growth history and current status of each tree through growth environment information, summarizes and updates the information through data integration, and generates tree species and growth archives; The archive generation submodule records the growth history and current status of each tree through the growth environment information. First, an automatic recording system is used to update the growth status of the trees daily, including core growth data such as growth rate and leaf area index. These data come from the environmental data analysis submodule and direct monitoring. Then, through data integration technology, these daily data are compared and analyzed with historical data to identify growth trends and potential problems. Finally, the system arranges the integrated information by tree species and growth area to generate detailed growth archives, which are updated in the database to provide immediate and accurate data support for scientific researchers and forestry managers.

[0025] See also Figure 3 ,The growth data analysis module includes data collection submodule, association analysis submodule, and health assessment submodule. The data collection submodule collects key growth data and environmental parameters of trees based on tree species and growth archives, uses time series analysis to reveal periodic changes in the data and integrates the data to obtain a comprehensive data set; The data collection submodule collects key growth data and environmental parameters of trees based on tree species and growth archives, and uses time series analysis to reveal periodic changes in data and integrate data. The specific process includes deploying high-precision growth monitoring equipment on selected trees. These devices can record the main growth parameters of trees such as trunk diameter, tree height and chlorophyll content in real time, and configure environmental monitors to collect environmental parameters such as temperature, humidity, light intensity and soil moisture. All data are automatically uploaded to the central database every hour. Advanced time series analysis tools, such as seasonal decomposition time series prediction models, are used to perform periodic analysis on these data. This tool first identifies the seasonal and trend components in the data, and then removes these periodic effects through moving average or exponential smoothing to obtain data changes other than periodicity. Subsequently, these processed data are integrated and summarized into a comprehensive data set for further growth analysis and model training.

[0026] The correlation analysis submodule analyzes the correlation between climate change and tree growth indicators based on the comprehensive data set, and obtains the correlation analysis results by comparing the interaction strength between indicators and determining the weight of influencing factors; The association analysis submodule is based on the formula: ; Calculate the correlation coefficient between climate change and tree growth indicators ,in, For the Observed values ​​of climate variables, For the Observed values ​​of tree growth indicators, is the average value of the climate variable, is the average value of tree growth index, A weight for each observation pair, used to adjust the influence of the observation in the calculation.

[0027] The execution process is as follows: First, for each observation pair Assign a weight , which can be set based on the recency or reliability of the observations, then the weighted differences, products and sums of squares of the climate variables and tree growth indicators are calculated, and these weighted sums and weighted sums of squares are used to calculate the adjusted correlation coefficient , this coefficient takes into account the different importance of different observations, and ultimately obtains a more accurate correlation result to measure the relationship between climate change and tree growth.

[0028] Determine the weight Time: Analyze the collection time of each data point, give higher weight to the latest data, and use , where the year difference is the result of subtracting the data collection year from the current year, which can ensure that the latest observation data have a greater impact on the final correlation coefficient calculation, and can also better reflect the impact of recent climate change trends on tree growth.

[0029] The health assessment submodule uses the correlation analysis results to analyze the abnormal indicators of current tree growth, judges the health status of trees through quantitative growth deviation analysis, predicts the future growth trend of trees, and generates tree health and growth analysis records; The health assessment submodule uses the results of correlation analysis to analyze abnormal indicators of current tree growth, judges the health status of trees through quantitative growth deviation analysis, predicts future growth trends of trees, and generates tree health and growth analysis records. In this process, based on the results of correlation analysis, the main environmental and growth parameters that affect tree growth are first calibrated, and then the relationship between these parameters and tree growth deviations is analyzed through a specially developed health assessment model. By comparing actual observation data with healthy growth data predicted by the model, it is identified which indicators deviate from normal values. For indicators with large deviations, further analysis is conducted on their potential causes and impact on future growth trends. These analysis results will be recorded in the health file of each tree for reference by forestry managers and researchers.

[0030] See also Figure 4 The adoption plan generation module includes a health data analysis submodule, an adoption detail design submodule, and a plan customization submodule. The health data analysis submodule analyzes the growth parameters and health indicators of each tree based on the health and growth analysis records, identifies potential diseases and growth problems by comparing abnormal indicators with regular data, and generates a tree health status record; The health data analysis submodule analyzes the growth parameters and health indicators of each tree based on the health and growth analysis records, and identifies potential diseases and growth problems by comparing abnormal indicators with conventional data. First, a specially designed data comparison tool is used to automatically extract all growth parameters and health indicators of each tree from the health and growth analysis records. These parameters include but are not limited to trunk diameter growth rate, chlorophyll content changes, branch and leaf fall rate, etc. The comparison tool compares these indicators with the specific health benchmark values ​​of the tree species and automatically marks the data that deviates from the normal range. For each marked anomaly, the system further analyzes its association with known diseases and environmental factors. For example, through correlation analysis, a strong correlation between an abnormal indicator and continuous drought weather is determined. Such analysis helps to preliminarily diagnose potential diseases or growth problems. Finally, the analysis results are organized into a record of the health status of the tree and saved in the database for subsequent query and use.

[0031] The adoption details design submodule plans water and nutrient management plans based on tree health status records, designs pest and disease prevention measures based on current health conditions, formulates adaptive maintenance measures by simulating tree responses under differentiated climatic conditions, and forms a tree maintenance details plan; The adoption details design submodule plans water and nutrient management plans based on the tree health records, designs pest and disease prevention measures for the current health status, and develops adaptive maintenance measures by simulating the tree response under differentiated climatic conditions. The specific operation includes the use of an advanced simulation tool that can simulate the physiological response of trees in the environment based on the input climatic condition parameters (such as temperature, humidity, rainfall) and tree species. The tool includes a detailed tree species database, each with its detailed growth model and environmental response indicators. After obtaining the tree health records, the designer will set the simulation parameters to reproduce the growth response of the tree under specific environmental conditions, and then plan the water management plan, such as the adjustment of irrigation frequency and amount, and the nutrient supplementation plan based on the simulation results, especially for disease prevention, design a specific pesticide and biological agent use plan. All these measures will be integrated into a comprehensive tree maintenance detail plan to improve the overall health and stress resistance of the tree.

[0032] The program customization submodule uses the tree maintenance details plan, combines the actual needs of each tree and the maintenance history to optimize the adoption plan, ensure the practicality of the plan and user satisfaction, and generate a customized tree adoption plan; The program customization submodule uses the tree maintenance detail plan to optimize the adoption plan in combination with the actual needs of each tree and the maintenance history records to ensure the practicality of the plan and user satisfaction. Specifically, it analyzes the practicality and feasibility of the various measures proposed in the maintenance detail plan. Through historical record comparison, it identifies which maintenance measures have been effective in the past and which need to be improved. On this basis, a customized software is used, which can automatically adjust the contents of the maintenance plan according to the user's specific needs, such as maintenance frequency preferences, budget constraints and other conditions, such as adjusting the fertilization cycle or changing the type of fertilizer used. In addition, the software can continuously optimize the design of the adoption plan based on user feedback and satisfaction survey results, so as to ultimately form a set of customized tree adoption plans that not only conform to scientific maintenance principles but also meet the personalized needs of users. This plan will be output in the form of a report and provided to users or maintenance managers to ensure its practicality and satisfaction.

[0033] See also Figure 5 The adoption plan implementation module includes a monitoring execution submodule, a detail recording submodule, and an effect verification submodule. The monitoring and execution submodule monitors irrigation and fertilization behaviors in real time based on customized tree adoption plans, records soil moisture and fertilizer distribution data through sensors, analyzes consistency with the predetermined plan, and generates implementation monitoring records; The monitoring and execution submodule monitors irrigation and fertilization behaviors in real time based on customized tree adoption plans, records soil moisture and fertilizer distribution data through sensors, and analyzes consistency with the predetermined plan. The specific operation process includes configuring soil moisture sensors and fertilizer distribution sensors in the designated tree adoption area. These sensors can transmit soil moisture and fertilizer concentration data to the central monitoring system in real time. The system automatically compares the collected data with the predetermined irrigation and fertilization plan. The calculation formula is as follows: ; in, Represents the current soil moisture or fertilizer concentration data collected by the sensor, Represents the corresponding standard value in the tree adoption program. If the deviation rate exceeds the set threshold, the system will automatically send an alarm to the management personnel and record it in the implementation monitoring record, which details the implementation of each irrigation and fertilization, including time, location, execution accuracy and any deviations, so as to facilitate subsequent review and adjustment of the plan.

[0034] The detail recording submodule uses the implementation monitoring record to record the quantitative details of each irrigation, fertilization and pruning, including water consumption, fertilizer type and pruning frequency, and retains the operation record through data management to form the operation execution details; The detail record submodule uses the implementation monitoring record to record the quantitative details of each irrigation, fertilization and pruning, including water consumption, fertilizer type and pruning frequency, and retains the operation record through data management. The calculation formula is as follows: ; in, Indicates the amount of water used in each irrigation. Indicates the number of times water is irrigated within a specific period of time. The module processes the data from the monitoring records through an automatic recording system. The system first verifies the completeness and accuracy of the data, and then enters the detailed information of each irrigation, fertilization and pruning into the database. All operation details are accurately recorded and saved for future query and analysis.

[0035] The effect verification submodule uses comparative analysis to evaluate the consistency between the implementation effect of the adoption program and the predetermined goals based on the operation execution details, verifies the effectiveness of the program by analyzing the tree growth data and the improvement of health status, and generates the adoption implementation record; The effect verification submodule uses comparative analysis to evaluate the consistency between the implementation effect of the adoption plan and the predetermined goals based on the operation execution details, and verifies the effectiveness of the plan by analyzing the tree growth data and the improvement of health status. The calculation formula is as follows: ; in, represents the growth data measured after executing the solution (such as tree height or trunk diameter), Represents the same growth data before the protocol was implemented. This record not only reflects the effectiveness of the program, but also points out details of the program that may need to be adjusted to ensure the continued optimization of the adoption program and maximize the health of the trees.

[0036] See also Figure 6 ,The user participation analysis module includes a data extraction submodule, a participation analysis submodule, and an analysis record generation submodule. The data extraction submodule extracts the user's irrigation, fertilization and pruning activity data based on the adoption implementation records, records the time, duration and frequency of each activity, performs preliminary cleaning and classification on the collected data, and generates an activity data set; The data extraction submodule extracts the user's irrigation, fertilization and pruning activity data based on the adoption implementation records, and records the time, duration and frequency of each activity. The specific steps include using the data crawling algorithm to retrieve all relevant activity records from the database, including the start and end time of the activity, so as to calculate the duration of the activity. The activity frequency is determined by counting the number of activities in a specific time period. The initial data cleaning includes removing duplicate records, correcting format errors, and filling missing values. The classification process groups the data according to the activity type (irrigation, fertilization, pruning). The calculation formula is as follows: ; in, and Represents the timestamps of when the activity starts and ends, respectively. Represents the duration of a single activity. The processed data will be integrated into an activity dataset to provide basic data for subsequent analysis.

[0037] The engagement analysis submodule measures the completion rate and overall engagement of users based on the activity data set, identifies the periodicity and trend changes of participation activities, draws a time distribution diagram of participation, and forms the engagement analysis results; The engagement analysis submodule measures the completion rate and overall engagement of user tasks based on the activity data set, identifying the periodicity and trend changes of participation activities. The completion rate is calculated by dividing the number of completed tasks by the total number of tasks: ; in, is the number of completed tasks, is the total number of tasks. Represents completion rate. Through time series analysis methods, periodic changes and trends in the data are identified, including the use of moving average or seasonal decomposition techniques to smooth the data and highlight long-term trends. The time distribution graph of engagement will be generated using data visualization tools to intuitively display the time distribution and frequency changes of user activities to form engagement analysis results.

[0038] The analysis record generation submodule uses the participation analysis results to integrate data, display the statistical characteristics of the adoption user activities and the task completion status, and generate user participation analysis records; The analysis record generation submodule uses the results of the engagement analysis to perform data integration and display the statistical characteristics of the adoption user activities and task completion. This module associates the engagement analysis results with the user's basic information to provide a more personalized user activity analysis. Data integration includes merging user activity data with the user's personal profile, such as age, region, etc., as well as historical engagement data to build a comprehensive user portrait. The generated user engagement analysis records include tables and charts that show the activity preferences and engagement differences of different user groups. These records not only reflect the behavior patterns of individual users, but also reveal the engagement trends of the overall user group, which helps to further optimize the adoption plan and enhance user engagement.

[0039] See also Figure 7 ,The adoption user interaction platform module includes a social interaction submodule, a user behavior tracking submodule, and a content sharing submodule; The social interaction submodule creates a user interaction online platform based on user participation analysis records through network programming and interface design, promotes real-time interaction and communication between users, and generates communication platform construction records; The social interaction submodule creates a user interaction online platform based on user participation analysis records through network programming and interface design to promote real-time interaction and communication between users. In terms of technical implementation, network programming languages ​​such as JavaScript and server-side technologies such as Node.js are first used to build backend APIs, which handle the storage, retrieval and update of user data. The interface design adopts responsive design principles to ensure that the platform provides a good user experience on different devices. By introducing real-time communication technologies such as WebSocket, instant messaging communication between users is achieved. At the same time, database technologies such as MongoDB are used to store user interaction records, including message sending time, content and participant information. The integration of these technologies allows users to not only communicate in real time, but also share experiences, arrange activities, etc. The final communication platform construction record records the development process, the technology stack used and user feedback in detail.

[0040] The user behavior tracking submodule builds records based on the communication platform, monitors the frequency and participation of users on the platform, collects users' click-through rate, page visit duration and interaction data, analyzes user behavior patterns, and forms user activity analysis results; The user behavior tracking submodule builds records based on the communication platform and monitors the frequency and engagement of users on the platform. It collects the user's click-through rate (CR), page visit duration (H), and interaction data. It monitors every page visit and interaction behavior of the user, including the number of clicks and page dwell time. The calculation formula is as follows: ; ; in, Represents the total number of clicks, Represents the total number of visits, Represents the total visit duration. These data are used to analyze user behavior patterns, form user activity analysis results, and help administrators improve platform functions.

[0041] The content sharing submodule uses the results of user activity analysis to establish a user story sharing area, allowing users to upload and share adoption experiences, strengthen the rating and comment functions through content management, and create an interactive platform for tree planting and adoption services; The content sharing submodule uses the user activity analysis results to establish a user story sharing area, allowing users to upload and share their adoption experiences. PHP and MySQL technology backends are used to process user uploaded content. In addition, the rating and comment functions are enhanced, and the following rating algorithm is used to calculate the comprehensive rating. : ; in, Represents user ratings, represents the weight of the rater, Represents the total number of comments. The interactive platform not only promotes user communication, but also provides community support for tree adoption services, increasing user participation and service visibility.

[0042] See also Figure 8 A tree planting and adoption service method comprises the following steps: S1: Use cameras to capture real-time images of trees, perform color and edge enhancement on the images, identify tree species and health conditions, deploy environmental sensors to collect climate and soil data, record the growth history and current conditions of each tree, and generate tree species and growth archives; S2: Based on tree species and growth archives, reveal the periodic changes in data, analyze the correlation between climate change and tree growth indicators, judge the health status of trees by comparing the interaction strength between indicators, and generate tree health and growth analysis records; S3: Based on the health and growth analysis records, identify potential diseases and growth problems, plan water and nutrient management plans and optimize the adoption plan, monitor irrigation and fertilization behaviors in real time, evaluate the consistency of the implementation effect of the adoption plan with the predetermined goals, and generate adoption implementation records; S4: Based on the adoption implementation records, perform data cleaning and classification, calculate the completion rate and overall participation of users’ tasks, identify the periodicity and trend changes of participation activities, display the statistical characteristics of adoption user activities and task completion status, and generate user participation analysis records; S5: Based on user participation analysis records, monitor the frequency and participation of users on the platform, analyze user behavior patterns, establish a user story sharing area, and create an interactive platform for tree planting and adoption services.

[0043] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A tree planting and adoption service system, characterized by: The system comprises: The tree identification and growth monitoring module uses cameras to capture images of trees, deploys sensors to obtain climate and soil data, analyzes image data to identify tree species, records and tracks tree growth conditions, and generates tree species and growth profiles; The growth data analysis module analyzes the growth data of the trees based on the tree species and growth archives, detects the correlation between environmental parameters and growth indicators, evaluates the health status and growth trend of the trees, and outputs the tree health and growth analysis records; The adoption plan generation module designs the adoption details of each tree according to the health and growth analysis records, including water, nutrient management and pest and disease prevention, creates a targeted adoption plan for each tree, and forms a customized tree adoption plan; The adoption program implementation module monitors the adoption implementation process according to the customized tree adoption program, records the implementation details of irrigation, fertilization and pruning, verifies the consistency and effectiveness of the program implementation, and generates adoption implementation records; The user participation analysis module extracts data based on the adoption implementation record, analyzes the completion of the adoption task and the user participation, performs statistical analysis on the user activity log and the task completion rate, and generates a user participation analysis record; The adoption user interactive platform module utilizes the user participation analysis records to establish forums, real-time chat functions and user story sharing areas to track user behavior, promote communication and experience sharing among adopters, and create an interactive platform for tree planting and adoption services.

2. The tree planting and adoption service system according to claim 1 is characterized by: The tree species and growth archive includes tree species identification results, growth monitoring records and environmental data records; the tree health and growth analysis records include growth index analysis results, environmental parameter correlation analysis records and health assessment results; the customized tree adoption plan includes water management plan, nutrient supply plan and pest and disease control measures; the adoption implementation records include irrigation records, fertilization records and pruning records; the user participation analysis records include completion statistics records, user participation analysis results and user activity logs.

3. The tree planting and adoption service system according to claim 1 is characterized by: The tree identification and growth monitoring module includes: The image capture submodule uses a camera to capture real-time images of trees, ensures image clarity through automatic focusing, performs color and edge enhancement processing on the image, and obtains tree image data; The environmental data analysis submodule identifies tree species through image analysis based on the tree image data, deploys environmental sensors to collect climate and soil data, and comprehensively analyzes the tree growth environment to obtain tree growth environment information; The archive generation submodule records the growth history and current status of each tree through the growth environment information, summarizes and updates the information through data integration, and generates tree species and growth archives.

4. The tree planting and adoption service system according to claim 1, characterized in that: The growth data analysis module includes: The data collection submodule collects key growth data and environmental parameters of trees based on the tree species and growth archives, uses time series analysis to reveal periodic changes in the data and integrates the data to obtain a comprehensive data set; The correlation analysis submodule analyzes the correlation between climate change and tree growth indicators based on the comprehensive data set, and obtains the correlation analysis results by comparing the interaction strength between the indicators and determining the weights of the influencing factors; The health assessment submodule uses the correlation analysis results to analyze abnormal indicators of current tree growth, determines the health status of trees through quantitative growth deviation analysis, predicts future growth trends of trees, and generates tree health and growth analysis records.

5. The tree planting and adoption service system according to claim 4 is characterized by: The association analysis submodule is based on the formula: ； Calculate the correlation coefficient between climate change and tree growth indicators ,in, For the Observed values ​​of climate variables, For the Observed values ​​of tree growth indicators, is the average value of the climate variable, is the average value of tree growth index, A weight for each observation pair, used to adjust the influence of the observation in the calculation.

6. The tree planting and adoption service system according to claim 1, characterized in that: The adoption plan generation module includes: The health data analysis submodule analyzes the growth parameters and health indicators of each tree according to the health and growth analysis records, identifies potential diseases and growth problems by comparing abnormal indicators with conventional data, and generates a tree health status record; The adoption details design submodule plans water and nutrient management plans based on the tree health status records, designs pest and disease prevention measures based on the current health status, formulates adaptive maintenance measures by simulating the tree response under differentiated climatic conditions, and forms a tree maintenance details plan; The program customization submodule uses the tree maintenance detail plan and combines the actual needs and maintenance history records of each tree to optimize the adoption plan, ensure the practicality of the plan and user satisfaction, and generate a customized tree adoption plan.

7. The tree planting and adoption service system according to claim 1, characterized in that: The adoption program implementation module includes: The monitoring execution submodule monitors the irrigation and fertilization behaviors in real time based on the customized tree adoption plan, records soil moisture and fertilizer distribution data through sensors, analyzes the consistency with the predetermined plan, and generates implementation monitoring records; The detail recording submodule utilizes the implementation monitoring record to register the quantitative details of each irrigation, fertilization and pruning, including the amount of water used, the type of fertilizer and the frequency of pruning, and retains the operation record through data management to form the operation execution details; The effect verification submodule uses comparative analysis to evaluate the consistency between the implementation effect of the adoption plan and the predetermined goals based on the operation execution details, verifies the effectiveness of the plan by analyzing the tree growth data and the improvement of health status, and generates an adoption implementation record.

8. The tree planting and adoption service system according to claim 1, characterized in that: The user participation analysis module includes: The data extraction submodule extracts the user's irrigation, fertilization and pruning activity data based on the adoption implementation records, records the time, duration and frequency of each activity, performs preliminary cleaning and classification on the collected data, and generates an activity data set; The engagement analysis submodule measures the completion rate and overall engagement of user tasks based on the activity data set, identifies the periodicity and trend changes of the participation activities, draws a time distribution diagram of the participation, and forms an engagement analysis result; The analysis record generation submodule uses the participation analysis results to perform data integration, display the statistical characteristics of the adoption user activities and the task completion status, and generate user participation analysis records.

9. The tree planting and adoption service system according to claim 1, characterized in that: The adoption user interaction platform module includes: The social interaction submodule creates a user interaction online platform based on the user participation analysis record through network programming and interface design, promotes real-time interaction and communication between users, and generates a communication platform construction record; The user behavior tracking submodule builds records based on the communication platform, monitors the frequency and participation of users on the platform, collects users' click-through rate, page visit duration and interaction data, analyzes user behavior patterns, and forms user activity analysis results; The content sharing submodule establishes a user story sharing area through the user activity analysis results, allows users to upload and share adoption experiences, strengthens the rating and comment functions through content management, and creates an interactive platform for tree planting and adoption services.

10. A tree planting and adoption service method, characterized in that: According to any one of claims 1 to 9, a tree planting and adoption service system is implemented, comprising the following steps: Use cameras to capture real-time images of trees, enhance the colors and edges of the images, identify tree species and health conditions, deploy environmental sensors to collect climate and soil data, record the growth history and current conditions of each tree, and generate tree species and growth archives; Based on the tree species and growth archives, reveal the periodic changes in data, analyze the correlation between climate change and tree growth indicators, judge the health status of trees by comparing the interaction strength between indicators, and generate tree health and growth analysis records; Based on the health and growth analysis records, identify potential diseases and growth problems, plan water and nutrient management plans and optimize adoption plans, monitor irrigation and fertilization behaviors in real time, evaluate the consistency of the implementation effect of the adoption plan with the predetermined goals, and generate adoption implementation records; Based on the adoption implementation records, data cleaning and classification are performed to measure the completion rate and overall participation of users’ tasks, identify the periodicity and trend changes of participation activities, display the statistical characteristics of the adoption user activities and the completion of tasks, and generate user participation analysis records; Based on the user participation analysis records, monitor the frequency and participation of users' activities on the platform, analyze user behavior patterns, establish a user story sharing area, and create an interactive platform for tree planting and adoption services.

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