A whole-process tracking management method and system for epimedium sagittatum cultivation

Abstract

The application discloses a kind of whole-process tracking management methods and systems for Epimedium sagittatum plantation, it is related to agricultural product management technical field, comprising: according to planting plot and planting time, generating planting batch number, constructing basic traceability file, based on agricultural key control point, obtain planting monitoring data, and association binding, set threshold to growth stage plant representation data, compare set threshold and planting node process file abnormal node, integrate planting node process file and abnormal disposal file, generate harvesting suitability score to determine planting batch, according to executable batch harvesting confirmation voucher, verify planting batch number, record postpartum quality data, input to planting node process file, and construct planting whole-process traceability file.The application is associated with binding by setting agricultural key control point and planting batch number, realizes the automatic acquisition of Epimedium sagittatum planting process data and whole-node traceability.

Description

Technical Field

[0001] This invention relates to the field of agricultural product management technology, and more specifically, to a method and system for full-process tracking management of Epimedium sagittatum cultivation. Background Technology

[0002] Epimedium sagittatum is a commonly used traditional Chinese medicinal herb. The accumulation of its active ingredients is closely related to the planting environment, agricultural operations, and harvesting time. With the increasing demands for standardized cultivation and quality traceability of medicinal herbs, establishing a full-cycle tracking management system has become crucial to ensuring stable quality and meeting regulatory and downstream user needs. Current traditional cultivation management and traceability methods generally suffer from fragmented processes, unreliable data, incomplete traceability, and lagging management.

[0003] In traditional planting methods, seedlings from different plots and batches are distinguished only by verbal records from growers or paper labels, without establishing a standardized unique coding system. Once medicinal materials enter the circulation process, if a quality dispute arises, it is difficult to accurately trace the finished product back to the specific planting plot, seed source batch, and initial agricultural operation, making it difficult to determine quality responsibility.

[0004] Furthermore, Epimedium sagittatum has a long growth cycle, involving multiple key stages such as sowing, fertilization, irrigation, pest and disease control, and harvesting. In current practices, information such as the timing of each stage, input usage, and environmental conditions is mostly recorded by growers afterward based on experience. This data is scattered across different media, and the batch numbers of inputs are disconnected from the planting batches. Once pesticide residues or heavy metal contamination occur, it is difficult to quickly pinpoint the source of the problem.

[0005] In addition, Epimedium sagittatum is sensitive to environmental changes. Fluctuations in factors such as soil moisture and temperature directly affect the accumulation of active ingredients. Traditional management relies solely on visual observation and experience-based judgment, lacking a mechanism for dynamic comparison with preset thresholds. Remedial measures are only taken after obvious damage symptoms appear on the plants, missing the optimal intervention window and affecting the final quality of the medicinal material. As a result, traditional methods cannot meet the industry's needs for standardized planting, quality control, and full traceability of Epimedium sagittatum, thus restricting the refinement of the planting process and the efficiency of supervision.

[0006] No effective solutions have yet been proposed to address the problems in the relevant technologies. Summary of the Invention

[0007] To address the problems in related technologies, this invention proposes a method and system for full-process tracking and management of Epimedium sagittatum cultivation, in order to overcome the aforementioned technical problems existing in the current related technologies.

[0008] Therefore, the specific technical solution adopted by the present invention is as follows: In a first aspect, the present invention proposes a method for full-process tracking and management of Epimedium sagittatum cultivation, comprising: Based on the planting site and planting time of Epimedium sagittatum, a planting batch number is generated, and a basic traceability file is constructed based on the planting batch number; Based on the preset key control points for agricultural activities, planting monitoring data is obtained, and the planting monitoring data is linked and bound with the basic traceability archive to obtain the planting node process archive. Set thresholds for plant characterization data at the growth stage, compare the results of setting thresholds with the planting node process archives to identify abnormal nodes, and generate an abnormal handling archive. Based on the harvest window of Epimedium sagittatum, the planting node process file and abnormal handling file are integrated to generate a harvest suitability score; based on the harvest suitability score, the planting batch is determined and the harvest time is confirmed to obtain the executable batch harvest confirmation certificate. Based on the executable batch harvest confirmation certificate, the planting batch number is automatically verified, and post-harvest quality data is recorded. The post-harvest quality data is then input into the planting node process file to obtain the planting test file. Based on planting and testing records, and combined with basic traceability records, planting node process records, and abnormal handling records, a full-process traceability record for planting is constructed to achieve full-process tracking management of Epimedium sagittatum planting.

[0009] Furthermore, based on the planting site and planting time of Epimedium sagittatum, planting batch numbers are generated, and based on these batch numbers, a basic traceability file is constructed, including: Using multi-source sensors, information on planting sites and actual planting times of Epimedium sagittatum is obtained. Based on the combination of the site information and planting time, a planting batch number is generated. The planting batch number is used as a unique identifier, and the planting batch number is collected together with basic information related to the planting plot, planting time and seed source to construct a basic traceability file.

[0010] Furthermore, based on pre-defined key agricultural control points, planting monitoring data is acquired, and this data is linked and bound to basic traceability files to obtain planting node process files, including: Multiple key agricultural control points were set for the planting cycle of Epimedium sagittatum, and corresponding data collection templates were configured for each control point to obtain a list of preset control points. Based on the triggering of key control points, the operation time, operator, agricultural input information, environmental factors and plant characterization data of the planting batch are scanned to obtain the original record of the current control point. Obtain environmental time-series data collected by fixed monitoring terminals, match the timestamp to the corresponding planting batch number, and obtain continuous environmental monitoring data; The original records of the current control point and the continuous environmental monitoring data are cleaned and integrated, and linked to the basic traceability archive using the planting batch number as an index to obtain the linked node data package. The data packets of each node are archived and merged in chronological order, and a data fingerprint is generated to lock the editing status, thus obtaining the planting node process archive.

[0011] Furthermore, thresholds are set for plant characterization data at different growth stages. The results of these thresholds are then compared with the planting process archives to identify abnormal nodes, generating an anomaly handling archive that includes: Based on the preset key indicator thresholds for each growth stage of Epimedium sagittatum, a threshold benchmark library is obtained; the key indicator thresholds include plant characterization thresholds and environmental factor thresholds. Retrieve plant characterization data and continuous environmental monitoring data from the planting node process archives, and compare them item by item with the threshold benchmark library to obtain the data comparison results; If the comparison result exceeds the preset threshold range, the corresponding control point will be marked as an abnormal node, and the abnormal type will be matched with the corresponding adjustment measures from the preset measure library to obtain an abnormal handling file.

[0012] Furthermore, based on the harvest window of Epimedium sagittatum, the planting process files and anomaly handling files are integrated to generate a harvest suitability score; based on the harvest suitability score, the planting batch is determined and the harvest time is confirmed, resulting in an executable batch harvest confirmation certificate, including: When the harvest preparation point in the control point list is triggered, the agricultural operation parameters and environmental factor data of all control points in the planting node process file are summarized to obtain the full cycle planting dataset. The harvest suitability score is obtained by weighting and integrating the various indicators in the full-cycle planting dataset according to preset weights. The harvest suitability score is compared with the preset harvest threshold. If the score reaches or exceeds the threshold, the terminal automatically locks the corresponding planting batch number and generates a harvest permit certificate. The harvest permit certificate is then pushed to the execution terminal to carry out the harvesting operation, and an executable batch harvest confirmation certificate is obtained.

[0013] Furthermore, based on the executable batch harvest confirmation certificate, the planting batch number is automatically verified, and post-harvest quality data is recorded. This post-harvest quality data is then input into the planting node process file to obtain the planting inspection file, which includes: Based on the executable batch harvest confirmation certificate, the identity of the planting batch is verified by scanning the planting batch identifier using the execution terminal to confirm that the harvest permit certificate has been obtained, and the batch harvest confirmation result is obtained. Based on the batch harvest confirmation results, the harvest time, harvesters, harvest yield and initial processing method are recorded, and the traceability code of agricultural inputs is scanned to record the information of processing auxiliary materials, so as to obtain the original records of harvesting and initial processing. The harvested samples are subjected to quality testing. Based on the test report, the data is automatically connected to the terminal via an interface and bound to the terminal based on the planting batch number to obtain post-harvest quality test data. The original records of harvesting and initial processing are merged with the post-harvest quality testing data and added to the planting node process archive to obtain the planting testing related archive.

[0014] Furthermore, based on planting and monitoring records, and combined with basic traceability records, planting node process records, and anomaly handling records, a full-process traceability record for planting is constructed to achieve full-process tracking management of Epimedium sagittatum planting, including: Retrieve basic traceability files, planting node process files, and planting testing related files, and aggregate the data using the planting batch number as the primary key to obtain a full batch process dataset; Data integrity is verified on the entire batch dataset to confirm that all preset control point data have been collected and there are no missing items, and the data integrity verification results are obtained. Based on the data integrity verification results, the entire process of Epimedium brevicornu cultivation can be tracked and managed.

[0015] Secondly, the present invention also provides a full-process tracking and management system for the cultivation of Epimedium sagittatum, comprising: The planting batch generation module is used to generate planting batch numbers based on the planting plots and planting time of Epimedium sagittatum, and to build basic traceability files based on the planting batch numbers; The planting monitoring and association module is used to acquire planting monitoring data based on preset key agricultural control points, and to associate and bind the planting monitoring data with the basic traceability archive to obtain the planting node process archive. The abnormal node detection module is used to set thresholds for plant characterization data during the growth stage, compare the set threshold results with the planting node process archive to identify abnormal nodes, and generate an abnormal handling archive. The harvest suitability assessment module is used to integrate planting node process files and abnormal handling files based on the harvest window period of Epimedium sagittatum to generate a harvest suitability score; based on the harvest suitability score, the planting batch is determined and the harvest time is confirmed to obtain an executable batch harvest confirmation certificate. The harvest confirmation and verification module is used to automatically verify the planting batch number based on the executable batch harvest confirmation certificate, record post-harvest quality data, and input the post-harvest quality data into the planting node process file to obtain the planting test file. The full-process traceability integration module is used to construct a full-process traceability file for planting based on planting and testing files, combined with basic traceability files, planting node process files, and abnormal handling files, so as to realize full-process tracking management of Epimedium sagittatum planting.

[0016] Thirdly, the present invention also provides an electronic device, the electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the above-described method.

[0017] Fourthly, the present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method.

[0018] The beneficial effects of this invention are as follows: 1. This invention achieves automated data collection and full-node traceability of Epimedium sagittatum planting process data by setting key agricultural control points, using terminals and sensors to automatically collect data, and using planting batch numbers as indexes for full-process data association and binding.

[0019] 2. This invention integrates and manages agricultural operation data, post-harvest quality data, and basic traceability archives in a unified manner, solving the technical problems of fragmented traceability in traditional planting, easy data falsification, reliance on experience for harvesting decisions, and difficulty in linking quality with the planting process.

[0020] 3. This invention uses full-cycle archive data to determine the suitability of harvesting and constructs a unified full-process tracking management system, thereby improving the standardization and refinement of Epimedium sagittatum planting management, ensuring stable and controllable quality of medicinal materials, and meeting regulatory and quality traceability requirements. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart of a full-process tracking and management method for the cultivation of Epimedium sagittatum according to an embodiment of the present invention.

[0023] Figure 2 This is a schematic diagram of a full-process tracking and management system for Epimedium sagittatum cultivation according to an embodiment of the present invention.

[0024] Figure 3This is a schematic diagram of the hardware operating environment involved in the embodiments of the present invention. Detailed Implementation

[0025] To further illustrate the various embodiments, the present invention provides accompanying drawings, which are part of the disclosure of the present invention. These drawings are mainly used to illustrate the embodiments and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these drawings, those skilled in the art should be able to understand other possible implementation methods and the advantages of the present invention.

[0026] According to an embodiment of the present invention, a method and system for full-process tracking and management of Epimedium sagittatum cultivation is proposed.

[0027] The present invention will now be further described in conjunction with the accompanying drawings and specific embodiments, such as... Figure 1 As shown, a method for full-process tracking and management of Epimedium brevicornu cultivation according to an embodiment of the present invention includes: Step S1: Generate planting batch numbers based on the planting plots and planting time of Epimedium sagittatum, and construct basic traceability files based on the planting batch numbers; Step S2: Based on the preset key agricultural control points, obtain planting monitoring data, and link and bind the planting monitoring data with the basic traceability file to obtain the planting node process file; Step S3: Set thresholds for plant characterization data at the growth stage, compare the set thresholds with the planting node process archives to identify abnormal nodes, and generate an anomaly handling archive. Step S4: Based on the harvest window of Epimedium sagittatum, integrate the planting node process file and the abnormal handling file to generate a harvest suitability score; based on the harvest suitability score, determine the planting batch and confirm the harvest time to obtain the executable batch harvest confirmation certificate. Step S5: Based on the executable batch harvest confirmation certificate, automatically verify the planting batch number, record the post-harvest quality data, and input the post-harvest quality data into the planting node process file to obtain the planting test file. Step S6: Based on the planting and testing records, and combined with the basic traceability records, planting node process records and abnormal handling records, construct a full-process traceability record for planting to achieve full-process tracking management of Epimedium sagittatum planting.

[0028] In this optional embodiment, a planting batch number is generated based on the planting plot and planting time of Epimedium sagittatum, and a basic traceability file is constructed based on the planting batch number, including: Using multi-source sensors, information on planting sites and actual planting times of Epimedium sagittatum is obtained. Based on the combination of the site information and planting time, a planting batch number is generated. The planting batch number is used as a unique identifier, and the planting batch number is collected together with basic information related to the planting plot, planting time and seed source to construct a basic traceability file.

[0029] Specifically, the key agricultural control points include propagation operation points, water and fertilizer management points, plant protection operation points, growth observation points, and harvest trigger points.

[0030] In this optional embodiment, planting monitoring data is acquired based on preset key agricultural control points, and the planting monitoring data is linked and bound with basic traceability files to obtain a planting node process file, including: Multiple key agricultural control points were set for the planting cycle of Epimedium sagittatum, and corresponding data collection templates were configured for each control point to obtain a list of preset control points. Based on the triggering of key control points, the operation time, operator, agricultural input information, environmental factors and plant characterization data of the planting batch are scanned to obtain the original record of the current control point. Obtain environmental time-series data collected by fixed monitoring terminals, match the timestamp to the corresponding planting batch number, and obtain continuous environmental monitoring data; The original records of the current control point and the continuous environmental monitoring data are cleaned and integrated, and linked to the basic traceability archive using the planting batch number as an index to obtain the linked node data package. The data packets of each node are archived and merged in chronological order to obtain the planting node process archive.

[0031] Specifically, based on the planting cycle of Epimedium sagittatum, multiple key agricultural control points are set, such as seedling emergence inspection points, fertilization control points during the seedling, growth, flowering, fruiting, and harvesting periods, pollination control points during the flowering period, and quality inspection points before harvest. Corresponding data collection templates are configured for each control point. For example, the fertilization control point requires collecting information on fertilizer type, amount, and time, resulting in a pre-set control point list. In response to the triggering of key control points, information on operation time, operator, and agricultural inputs is obtained by scanning the planting batch identifier. For example, the fertilizer type is well-rotted organic fertilizer, and the amount is 50 kg per acre. Environmental factors, such as temperature 22℃ and humidity 65%, and plant characteristic data, such as plant height 18 cm and number of leaves 6, are recorded at the control point. Environmental time-series data collected from fixed monitoring terminals are retrieved, such as temperature and humidity collected every 2 hours for 72 consecutive hours. The data is then matched to the corresponding planting batch number according to the timestamp to obtain continuous environmental monitoring data. The original records of the current control points and continuous environmental monitoring data are cleaned and integrated, i.e., abnormal data is removed. The data is then linked to the basic traceability archive using the planting batch number as an index, resulting in a linked node data package. Each node data package is archived and merged in chronological order, and a data fingerprint is generated to lock the editing status, thus creating a planting node process archive. This achieves standardized archiving and tamper-proofing of key control point data throughout the entire planting cycle, providing complete process data for growth status monitoring and abnormal node comparison.

[0032] In this optional embodiment, a threshold is set for the plant characterization data at the growth stage, and the results of setting the threshold are compared with the planting node process archive to identify abnormal nodes, generating an anomaly handling archive, including: Based on the preset key indicator thresholds for each growth stage of Epimedium sagittatum, a threshold benchmark library is obtained; the key indicator thresholds include plant characterization thresholds and environmental factor thresholds. Retrieve plant characterization data and continuous environmental monitoring data from the planting node process archives, and compare them item by item with the threshold benchmark library to obtain the data comparison results; If the comparison result exceeds the preset threshold range, the corresponding control point will be marked as an abnormal node, and the abnormal type will be matched with the corresponding adjustment measures from the preset measure library to obtain an abnormal handling file.

[0033] Specifically, growth status monitoring and anomaly intervention are conducted based on planting node process files. Key indicator thresholds for each growth stage of Epimedium are preset, such as plant characteristic thresholds for a height of 15-25 cm and 5-8 leaves during the growth period, and environmental factor thresholds for a temperature of 18-28℃ and humidity of 60-75%, resulting in a threshold benchmark library. Plant characteristic data and continuous environmental monitoring data from the planting node process files are retrieved in real time and compared item by item with the threshold benchmark library to obtain data comparison results. When the comparison result exceeds the preset threshold range, such as when a temperature of 30℃ is detected during the growth period, exceeding the threshold range of 18-28℃, the corresponding control point is marked as an abnormal node. Based on the anomaly type, corresponding adjustment measures are matched from the measure library, such as opening shade nets or increasing ventilation frequency. The abnormal node marker and agricultural adjustment instructions are pushed to the execution terminal, and the execution status is recorded and updated in the planting node process file to achieve closed-loop management and traceability of planting process anomalies.

[0034] In this optional embodiment, based on the harvest window of Epimedium sagittatum, the planting node process file and the abnormal handling file are integrated to generate a harvest suitability score; based on the harvest suitability score, the planting batch is determined and the harvest time is confirmed, resulting in an executable batch harvest confirmation certificate, including: When the harvest preparation point in the control point list is triggered, the agricultural operation parameters and environmental factor data of all control points in the planting node process file are summarized to obtain the full cycle planting dataset. The harvest suitability score is obtained by weighting and integrating the various indicators in the full-cycle planting dataset according to preset weights. The harvest suitability score is compared with the preset harvest threshold. If the score reaches or exceeds the threshold, the terminal automatically locks the corresponding planting batch number and generates a harvest permit certificate. The harvest permit certificate is then pushed to the execution terminal to carry out the harvesting operation, and an executable batch harvest confirmation certificate is obtained.

[0035] Specifically, a harvest suitability score is generated based on full-cycle planting data, and harvesting nodes are controlled. When a harvest preparation point in the preset control point list is triggered, such as when the growth period of Epimedium sagittatum reaches 180 days, the agricultural operation parameters and environmental factor data of all control points in the planting node process file are summarized. Each indicator in the full-cycle planting dataset is weighted and integrated according to preset weights, such as 30% for environmental factors, 40% for agricultural operation parameters, and 30% for plant characterization data, resulting in a harvest suitability score, for example, 88 points. The harvest suitability score is compared with a preset harvesting threshold, for example, 80 points. When the score reaches or exceeds the threshold, the terminal automatically locks the corresponding planting batch number and generates a harvesting permit, obtaining an executable batch harvesting confirmation certificate. The harvesting permit is pushed to the execution terminal, and harvesters can only carry out harvesting operations with this certificate, thereby achieving standardized management of harvesting operations, avoiding unauthorized harvesting and incorrect batch harvesting, and ensuring the accuracy and compliance of harvesting batches.

[0036] In this optional embodiment, the planting batch number is automatically verified based on the executable batch harvest confirmation certificate, and post-harvest quality data is recorded. The post-harvest quality data is then input into the planting node process file to obtain the planting inspection file, which includes: Based on the executable batch harvest confirmation certificate, the identity of the planting batch is verified by scanning the planting batch identifier using the execution terminal to confirm that the harvest permit certificate has been obtained, and the batch harvest confirmation result is obtained. Based on the batch harvest confirmation results, the harvest time, harvesters, harvest yield and initial processing method are recorded, and the traceability code of agricultural inputs is scanned to record the information of processing auxiliary materials, so as to obtain the original records of harvesting and initial processing. The harvested samples are subjected to quality testing. Based on the test report, the data is automatically connected to the terminal via an interface and bound to the terminal based on the planting batch number to obtain post-harvest quality test data. The original records of harvesting and initial processing are merged with the post-harvest quality testing data and added to the planting node process archive to obtain the planting testing related archive.

[0037] Specifically, post-harvest quality data collection and record updates are based on harvest permits. When harvesting begins, the terminal scans the planting batch identifier for identity verification, confirming that the batch has obtained a harvest permit certificate, thus obtaining a batch harvest confirmation result. After verification, the harvesting time, harvesting personnel, harvest yield, and initial processing method are recorded on-site, such as air-drying or cutting into sections with a section length of 2 to 3 centimeters. The traceability code of agricultural inputs is also scanned to record processing auxiliary material information. For example, if no processing auxiliary materials are used, the harvested sample, i.e., 500 grams of sample from each batch, is sent to a third-party testing agency for quality testing. The test report returned by the testing agency, when the content of the active ingredient icariin is greater than or equal to 0.5% and the heavy metal content is less than or equal to 5 mg / kg, is automatically connected to the terminal through an interface and bound using the planting batch number as an index. The original records of harvesting and initial processing are merged with the post-harvest quality test data and supplemented into the planting node process file to obtain a planting test-related file, ensuring the integrity and relevance of traceability data.

[0038] In this optional embodiment, based on the planting and monitoring records, and combined with the basic traceability records, planting node process records, and anomaly handling records, a full-process traceability record for planting is constructed to achieve full-process tracking and management of Epimedium sagittatum planting, including: Retrieve basic traceability files, planting node process files, and planting testing related files, and aggregate the data using the planting batch number as the primary key to obtain a full batch process dataset; Data integrity is verified on the entire batch dataset to confirm that all preset control point data have been collected and there are no missing items, and the data integrity verification results are obtained. Based on the data integrity verification results, the entire process of Epimedium brevicornu cultivation can be tracked and managed.

[0039] like Figure 2 As shown, according to another embodiment of the present invention, a full-process tracking and management system for the cultivation of Epimedium sagittatum is also provided, comprising: The planting batch generation module 101 is used to generate planting batch numbers based on the planting plots and planting time of Epimedium sagittatum, and to build basic traceability files based on the planting batch numbers. The planting monitoring and association module 102 is used to acquire planting monitoring data based on preset key agricultural control points, and to associate and bind the planting monitoring data with the basic traceability archive to obtain the planting node process archive. The abnormal node detection module 103 is used to set thresholds for plant characterization data during the growth stage, compare the set threshold results with the planting node process archive to identify abnormal nodes, and generate an abnormal handling archive. The harvest suitability assessment module 104 is used to integrate the planting node process file and the abnormal handling file based on the harvest window period of Epimedium sagittatum to generate a harvest suitability score; based on the harvest suitability score, the planting batch is determined and the harvest time is confirmed to obtain the executable batch harvest confirmation certificate. The harvest confirmation and verification module 105 is used to automatically verify the planting batch number based on the executable batch harvest confirmation certificate, record the post-harvest quality data, and input the post-harvest quality data into the planting node process file to obtain the planting test file. The end-to-end traceability integration module 106 is used to construct an end-to-end traceability file for planting based on planting and testing records, combined with basic traceability files, planting node process files, and anomaly handling files, so as to achieve full-process tracking and management of Epimedium sagittatum planting. Furthermore, the present invention also provides an electronic device. For example... Figure 3 The diagram illustrates the hardware operating environment of an electronic device, which may include: a processor (e.g., CPU), memory, a user interface, a network interface, and a communication bus. The communication bus is used to enable communication between components. The user interface may include a display screen and an input unit such as a keyboard; optionally, the user interface may also include a standard wired interface or a wireless interface. The network interface may optionally include a standard wired interface or a wireless interface. The memory may be high-speed RAM or stable non-volatile memory, such as disk storage. Alternatively, the memory may be a storage device independent of the aforementioned processor.

[0040] Those skilled in the art will understand that Figure 3 The electronic devices shown do not constitute a limitation on electronic devices and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0041] like Figure 3 As shown, a memory, as a type of computer storage medium, may include an operating system, a network communication module, a user interface module, and device management programs. The operating system is a program that manages and controls the hardware and software resources of electronic devices, supporting the operation of electronic devices and other software or programs. Figure 3 In the electronic device shown, the user interface is mainly used to connect to the terminal and communicate with the terminal, such as receiving user signaling data sent by the terminal; the network interface is mainly used to communicate with the backend server; the processor can be used to call the program stored in the memory and execute the steps of the method or system described above.

[0042] Furthermore, the present invention also proposes a computer-readable storage medium storing a device management program, which, when executed by a processor, implements the steps of the method or system described above.

[0043] The specific embodiments of the computer-readable storage medium of the present invention are basically the same as those of the above-described methods or systems, and will not be repeated here. Furthermore, to achieve the above objectives, the present invention also provides a computer program product, comprising: a computer program, which, when executed by a processor, implements the steps of the methods or systems described above.

[0044] Those skilled in the art will recognize that the units and algorithm steps described in conjunction with the embodiments 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.

[0045] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for full-process tracking and management of Epimedium sagittatum cultivation, characterized in that, include: Based on the planting site and planting time of Epimedium sagittatum, a planting batch number is generated, and a basic traceability file is constructed based on the planting batch number; Based on the preset key control points for agricultural activities, planting monitoring data is obtained, and the planting monitoring data is linked and bound with the basic traceability archive to obtain the planting node process archive. Set thresholds for plant characterization data at the growth stage, compare the results of setting thresholds with the planting node process archives to identify abnormal nodes, and generate an abnormal handling archive. Based on the harvest window of Epimedium sagittatum, the planting node process archives and abnormal handling archives are integrated to generate a harvest suitability score. Based on the harvest suitability score, the planting batch is determined and the harvest time is confirmed, and an executable batch harvest confirmation certificate is obtained. Based on the executable batch harvest confirmation certificate, the planting batch number is automatically verified, and post-harvest quality data is recorded. The post-harvest quality data is then input into the planting node process file to obtain the planting test file. Based on planting and testing records, and combined with basic traceability records, planting node process records, and abnormal handling records, a full-process traceability record for planting is constructed to achieve full-process tracking management of Epimedium sagittatum planting.

2. The method for full-process tracking and management of Epimedium sagittatum cultivation according to claim 1, characterized in that, The process involves generating planting batch numbers based on the planting site and planting time of Epimedium sagittatum, and constructing a basic traceability file based on these batch numbers, including: Using multi-source sensors, information on planting sites and actual planting times of Epimedium sagittatum is obtained. Based on the combination of the site information and planting time, a planting batch number is generated. The planting batch number is used as a unique identifier, and the planting batch number is collected together with basic information related to the planting plot, planting time and seed source to construct a basic traceability file.

3. The method for full-process tracking and management of Epimedium brevicornu cultivation according to claim 1, characterized in that, The process involves acquiring planting monitoring data based on preset key agricultural control points, and then linking and binding the planting monitoring data with basic traceability files to obtain a planting node process file, including: Multiple key agricultural control points were set for the planting cycle of Epimedium sagittatum, and corresponding data collection templates were configured for each control point to obtain a list of preset control points. Based on the triggering of key control points, the operation time, operator, agricultural input information, environmental factors and plant characterization data of the planting batch are scanned to obtain the original record of the current control point. Obtain environmental time-series data collected by fixed monitoring terminals, match the timestamp to the corresponding planting batch number, and obtain continuous environmental monitoring data; The original records of the current control point and the continuous environmental monitoring data are cleaned and integrated, and linked to the basic traceability archive using the planting batch number as an index to obtain the linked node data package. The data packets of each node are archived and merged in chronological order, and a data fingerprint is generated to lock the editing status, thus obtaining the planting node process archive.

4. The method for full-process tracking and management of Epimedium sagittatum cultivation according to claim 1, characterized in that, The process of setting thresholds for plant characterization data at different growth stages, comparing the threshold results with planting node process files to identify abnormal nodes, and generating anomaly handling files includes: Based on the preset key indicator thresholds for each growth stage of Epimedium sagittatum, a threshold benchmark library is obtained; the key indicator thresholds include plant characterization thresholds and environmental factor thresholds. Retrieve plant characterization data and continuous environmental monitoring data from the planting node process archives, and compare them item by item with the threshold benchmark library to obtain the data comparison results; If the comparison result exceeds the preset threshold range, the corresponding control point will be marked as an abnormal node, and the abnormal type will be matched with the corresponding adjustment measures from the preset measure library to obtain an abnormal handling file.

5. The method for full-process tracking and management of Epimedium sagittatum cultivation according to claim 1, characterized in that, The harvest window period based on Epimedium sagittatum integrates the planting node process archives and abnormal handling archives to generate a harvest suitability score. Based on the harvest suitability score, the planting batch is determined and the harvest time is confirmed, resulting in the executable batch harvest confirmation document, which includes: When the harvest preparation point in the control point list is triggered, the agricultural operation parameters and environmental factor data of all control points in the planting node process file are summarized to obtain the full cycle planting dataset. The harvest suitability score is obtained by weighting and integrating the various indicators in the full-cycle planting dataset according to preset weights. The harvest suitability score is compared with the preset harvest threshold. If the score reaches or exceeds the threshold, the terminal automatically locks the corresponding planting batch number and generates a harvest permit certificate. The harvest permit certificate is then pushed to the execution terminal to carry out the harvesting operation, thus obtaining an executable batch harvest confirmation certificate.

6. The method for full-process tracking and management of Epimedium sagittatum cultivation according to claim 1, characterized in that, The process involves automatically verifying the planting batch number based on the executable batch harvest confirmation certificate, recording post-harvest quality data, and inputting the post-harvest quality data into the planting node process file to obtain the planting inspection file, which includes: Based on the executable batch harvest confirmation certificate, the identity of the planting batch is verified by scanning the planting batch identifier using the execution terminal to confirm that the harvest permit certificate has been obtained, and the batch harvest confirmation result is obtained. Based on the batch harvest confirmation results, the harvest time, harvesters, harvest yield and initial processing method are recorded, and the traceability code of agricultural inputs is scanned to record the information of processing auxiliary materials, so as to obtain the original records of harvesting and initial processing. The harvested samples are subjected to quality testing. Based on the test report, the data is automatically connected to the terminal via an interface and bound to the terminal based on the planting batch number to obtain post-harvest quality test data. The original records of harvesting and initial processing are merged with the post-harvest quality testing data and added to the planting node process archive to obtain the planting testing related archive.

7. The method for full-process tracking and management of Epimedium sagittatum cultivation according to claim 1, characterized in that, The aforementioned method, based on planting and monitoring records and combined with basic traceability records, planting node process records, and anomaly handling records, constructs a full-process traceability record for planting, enabling comprehensive tracking and management of Epimedium sagittatum planting. Retrieve basic traceability files, planting node process files, and planting testing related files, and aggregate the data using the planting batch number as the primary key to obtain a full batch process dataset; Data integrity is verified on the entire batch dataset to confirm that all preset control point data have been collected and there are no missing items, and the data integrity verification results are obtained. Based on the data integrity verification results, the entire process of Epimedium brevicornu cultivation can be tracked and managed.

8. A full-process tracking and management system for the cultivation of Epimedium sagittatum, used to implement the full-process tracking and management method for the cultivation of Epimedium sagittatum as described in any one of claims 1 to 7, characterized in that, include: The planting batch generation module is used to generate planting batch numbers based on the planting plots and planting time of Epimedium sagittatum, and to build basic traceability files based on the planting batch numbers; The planting monitoring and association module is used to acquire planting monitoring data based on preset key agricultural control points, and to associate and bind the planting monitoring data with the basic traceability archive to obtain the planting node process archive. The abnormal node detection module is used to set thresholds for plant characterization data during the growth stage, compare the set threshold results with the planting node process archive to identify abnormal nodes, and generate an abnormal handling archive. The harvest suitability assessment module is used to integrate planting node process files and abnormal handling files based on the harvest window period of Epimedium sagittatum to generate a harvest suitability score; based on the harvest suitability score, the planting batch is determined and the harvest time is confirmed to obtain an executable batch harvest confirmation certificate. The harvest confirmation and verification module is used to automatically verify the planting batch number based on the executable batch harvest confirmation certificate, record post-harvest quality data, and input the post-harvest quality data into the planting node process file to obtain the planting test file. The full-process traceability integration module is used to construct a full-process traceability file for planting based on planting and testing files, combined with basic traceability files, planting node process files, and abnormal handling files, so as to realize full-process tracking management of Epimedium sagittatum planting.

9. An electronic device, characterized in that, The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method as described in any one of claims 1 to 7.

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

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