Field pesticide effect evaluation method for compound pesticide preparation
By subdividing the field of compound pesticide preparations and constructing the efficacy matrix, combined with the correction of the application method and time nodes, the problem of difficult to fully reflect the efficacy of compound pesticide fields in the existing technology is solved, and a more accurate and scientific efficacy evaluation is achieved, reducing the use of pesticides and environmental impacts.
Patent Information
- Application Number
- CN202411775186.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-05
- Publication Date
- 2025-03-21
AI Technical Summary
The existing field efficacy evaluation methods of compound pesticide preparations are difficult to fully reflect the real effect of compound pesticides in field applications, and different drug application methods and drug application time nodes may lead to differences in drug efficacy.
By dividing the application field into several application units, the efficacy value of each application unit is obtained, the efficacy matrix of the application field is constructed, and uniform statistics and feature identification are carried out, the effect of the application method and application time node on the efficacy is considered, the efficacy value is corrected, and the efficacy evaluation model is finally input to obtain the efficacy evaluation value.
This method can more comprehensively reflect the real effect of compounded pesticides in field applications, eliminate the efficacy differences caused by special conditions of individual application units, improve the accuracy and scientificity of the evaluation, reduce unnecessary pesticide use, and reduce the impact on the environment.
Smart Images

Figure CN119671770A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of pesticide efficacy evaluation, and in particular to a method for evaluating the field efficacy of a compound pesticide preparation. Background Art
[0002] With the development of agricultural science and technology, the types of pesticide formulations are becoming increasingly diverse. Compound pesticides have gradually become an indispensable part of agricultural production because of their advantages of improving prevention and control effects, reducing the risk of pest resistance, and reducing environmental pollution. However, how to scientifically and effectively evaluate the actual efficacy of compound pesticides under field conditions has become one of the important topics of current agricultural scientific research.
[0003] The existing field efficacy evaluation method of compound pesticide formulations relies on a single change in disease density or crop growth index to evaluate the effectiveness of pesticides. Although this method is simple and easy to implement, it is difficult to fully reflect the true effect of compound pesticides in field applications. Different application methods and application time nodes may lead to differences in efficacy. Summary of the invention
[0004] In order to solve the above technical problems, the present invention provides a method for evaluating the field efficacy of compound pesticide preparations, which can reduce unnecessary use of pesticides and reduce the impact on the environment.
[0005] In a first aspect, the present invention provides a method for evaluating the efficacy of a compound pesticide formulation in a field, the method comprising:
[0006] Divide the pesticide application field into a number of pesticide application units according to a preset division strategy;
[0007] Obtain the efficacy value of each pesticide application unit, and assign values based on the position of the pesticide application unit in the field to obtain a pesticide field efficacy matrix; the efficacy value is the disease density of the pesticide application unit before the pesticide application minus the disease density of the pesticide application unit after the preset duration of the pesticide application;
[0008] The efficacy matrix of the applied pesticide field is uniformly counted to obtain the average efficacy value of the compound pesticide, and the average efficacy value of the compound pesticide is corrected by taking into account the application method; the application method includes spraying, irrigation and broadcasting;
[0009] The characteristic values of compound pesticide efficacy are obtained by identifying the efficacy matrix of the applied field, and the relative relationship between the application time node and the disease onset period is considered to correct the efficacy characteristic values of compound pesticides.
[0010] Inputting the corrected compound pesticide efficacy average value and the corrected compound pesticide efficacy characteristic value into the compound pesticide efficacy evaluation model to obtain the compound pesticide field efficacy evaluation value;
[0011] Based on the preset threshold value of the compound pesticide, the field efficacy evaluation value of the compound pesticide is judged to be qualified.
[0012] Furthermore, the method for setting the division strategy includes:
[0013] Obtain the crop types, growth stages, disease types, and field size specifications in the fields being treated;
[0014] Quantify crop types, growth stages, and disease types;
[0015] The quantified crop types, growth stages and disease types are converted into data to obtain the growth state vector of field crops;
[0016] The field crop growth state vector and field size specifications are input into a pre-trained farmland unit division model to obtain the division strategy.
[0017] Furthermore, the method for obtaining the efficacy matrix of pesticide application in the field comprises:
[0018] Before applying pesticides, the disease density of each application unit is measured to obtain the disease density of the application unit before applying pesticides;
[0019] Apply pesticides to each application unit according to the predetermined compound pesticide formula and application method;
[0020] After a preset time period after the application of pesticides, the disease density of each application unit is surveyed again to obtain the disease density of the application unit after the preset time period of the application of pesticides;
[0021] The efficacy value is obtained by subtracting the disease density of the application unit after the preset application time from the disease density of the application unit before application.
[0022] According to the division strategy of the pesticide application field, determine the number of rows and columns of the matrix;
[0023] The efficacy value of each application unit is assigned to the corresponding element in the matrix to obtain the field efficacy matrix of application.
[0024] Furthermore, the method for correcting the uniform value of compound pesticide efficacy includes:
[0025] Extract the efficacy value of each application unit from the efficacy matrix of the applied field;
[0026] The extracted efficacy values are statistically averaged, the average efficacy values of all application units are calculated, and the average efficacy value of the compound pesticide is obtained;
[0027] The application methods are divided into spraying, irrigation and broadcasting;
[0028] For each application method, determine a drug efficacy correction factor;
[0029] The drug efficacy correction coefficient is applied to the drug efficacy average value to obtain the corrected drug efficacy average value.
[0030] Furthermore, the method for correcting the characteristic value of compound pesticide efficacy includes:
[0031] Preprocess the efficacy matrix of the applied field and extract the efficacy characteristic value from the efficacy matrix;
[0032] Obtain the relative relationship between the application time node and the disease onset period; the disease onset period includes the initial onset period, peak period and decline period of the disease;
[0033] The spatiotemporal distribution of the extracted pharmacodynamic characteristic values was analyzed to examine the changing trend of the pharmacodynamic characteristic values between different application units and their fluctuations at different time points;
[0034] According to the relative relationship between the application time node and the disease onset period and the results of the spatiotemporal distribution analysis, the correction coefficient of the efficacy characteristic value is determined;
[0035] The determined pharmacodynamic characteristic value correction coefficient is applied to the extracted pharmacodynamic characteristic value for correction.
[0036] Furthermore, the structure of the compound pesticide efficacy evaluation model includes:
[0037] Model input layer: used to receive the corrected average value and characteristic value of compound pesticide efficacy;
[0038] Data processing layer: used to preprocess and extract features of input data;
[0039] Model core layer: used to evaluate drug efficacy based on input data;
[0040] Output layer: used to output the efficacy evaluation value calculated by the core layer of the model to the user.
[0041] Furthermore, the factors affecting the setting of the preset threshold of the compound pesticide include the physical and chemical properties of the pesticide, the type and characteristics of the pests and diseases, the application method, the application time node, environmental factors and the crop type.
[0042] On the other hand, the present application also provides a method system for evaluating the efficacy of compound pesticide preparations in the field, the system comprising:
[0043] The plot division module divides the pesticide application field into several pesticide application units according to the preset division strategy;
[0044] The efficacy matrix construction module obtains the efficacy value of each pesticide application unit and assigns a value based on the position of the pesticide application unit in the field to obtain the pesticide application field efficacy matrix; the efficacy value is the disease density of the pesticide application unit before the pesticide application minus the disease density of the pesticide application unit after the preset duration of the pesticide application;
[0045] The efficacy uniformity analysis module performs uniform statistics on the efficacy matrix of the applied field, obtains the uniform value of the efficacy of the compound pesticide, and corrects the uniform value of the efficacy of the compound pesticide by taking into account the application method; the application method includes spraying, irrigation and broadcasting;
[0046] The efficacy characteristic recognition module performs characteristic recognition on the efficacy matrix of the applied field, obtains the efficacy characteristic value of the compound pesticide, and considers the relative relationship between the application time node and the disease onset period to correct the efficacy characteristic value of the compound pesticide;
[0047] The efficacy evaluation module inputs the corrected compound pesticide efficacy average value and the corrected compound pesticide efficacy characteristic value into the compound pesticide efficacy evaluation model to obtain the compound pesticide field efficacy evaluation value;
[0048] The qualified judgment module makes a qualified judgment on the field efficacy evaluation value of the compound pesticide based on the preset threshold value of the compound pesticide.
[0049] In a third aspect, the present application provides an electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and the computer program, when executed by the processor, implements the steps of any one of the above methods.
[0050] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps in any one of the above-mentioned methods when executed by a processor.
[0051] Compared with the prior art, the present invention has the following beneficial effects: the method not only takes into account the change in disease density, but also expands the evaluation scope to the entire field by dividing the application units and constructing the efficacy matrix, so as to more comprehensively reflect the real effect of compound pesticides in field applications; the efficacy value of each application unit is assigned based on its position in the field, which helps to capture the subtle differences in efficacy in different regions and conditions;
[0052] The method takes into account the effects of the application method and application time on the efficacy, and makes corresponding corrections to the efficacy average value and efficacy characteristic value; it can more accurately reflect the efficacy differences under different application conditions and improve the accuracy of the evaluation;
[0053] This method uses mathematical models and statistical analysis methods to quantitatively evaluate the efficacy of pesticides, avoiding the uncertainty caused by subjective judgment and improving the scientificity and objectivity of the evaluation. By inputting the corrected efficacy value into the efficacy evaluation model, an objective and quantifiable efficacy evaluation value can be obtained, providing a scientific basis for the selection and use of pesticides.
[0054] Each step in the method has clear operation guidelines and data processing methods, which are easy to understand and implement; the method can provide agricultural producers with reliable efficacy evaluation results, helping them to scientifically and rationally select and use compound pesticides, thereby improving agricultural production efficiency and agricultural product quality;
[0055] In summary, this method can help researchers and farmers better understand the performance of compound pesticides in practical applications, provide a scientific basis for the optimization of pesticide formulations and the improvement of application techniques, reduce unnecessary use of pesticides, reduce environmental impacts, and promote the development of sustainable agriculture. BRIEF DESCRIPTION OF THE DRAWINGS
[0056] Figure 1 is a flow chart of the present invention;
[0057] Figure 2 It is a flow chart of a method for setting a partitioning strategy;
[0058] Figure 3 It is a flow chart of the method for obtaining the efficacy matrix of pesticide application field;
[0059] Figure 4 It is a structural diagram of a method for evaluating the efficacy of compound pesticide formulations in the field. DETAILED DESCRIPTION
[0060] In the description of the present application, those skilled in the art should know that the present application can be implemented as a method, an apparatus, an electronic device, and a computer-readable storage medium. Therefore, the present application can be specifically implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), a combination of hardware and software. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable storage media, and the computer-readable storage medium contains computer program code.
[0061] The above-mentioned computer-readable storage medium may adopt any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or devices, or any combination of the above. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disc read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, computer-readable storage media can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or device.
[0062] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws.
[0063] The present application describes the provided methods, devices, and electronic devices through flowcharts and / or block diagrams.
[0064] It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine, and these computer-readable program instructions are executed by a computer or other programmable data processing device to produce a device that implements the functions / operations specified by the boxes in the flowchart and / or block diagram.
[0065] These computer-readable program instructions may also be stored in a computer-readable storage medium that enables a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product including functions / operations specified in the blocks in the flowchart and / or block diagram.
[0066] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable data processing apparatus to provide a process for implementing the functions / operations specified in the blocks in the flowchart and / or block diagram.
[0067] The present application is described below in conjunction with the drawings in the present application.
[0068] Embodiment 1: Figures 1 to 3 As shown, a method for evaluating the efficacy of a compound pesticide preparation in the field of the present invention specifically comprises the following steps:
[0069] S1, dividing the pesticide application field into a number of pesticide application units according to a preset division strategy;
[0070] The method for setting the partitioning strategy includes:
[0071] Identify the types of crops planted in the fields where pesticides are applied. Different crops have different absorption, transport and metabolism mechanisms for pesticides, which will affect the efficacy of the pesticides.
[0072] The growth stage of crops will also affect the efficacy of pesticides; crops have different sensitivities and requirements for pesticides at different stages, such as the seedling stage, growth stage, flowering stage, and fruiting stage;
[0073] Identify the types of diseases in the field. Different types of diseases respond differently to pesticides. Understanding the types of pathogens, infection methods, and degree of damage will help select appropriate pesticides and develop targeted application strategies.
[0074] Obtain field size specifications, including field area, shape, topography, etc.;
[0075] Crop species are quantified using coding methods, with each crop being assigned a unique identifier or category code;
[0076] According to the growth cycle of crops, the growth stage is divided into several sub-stages, and a numerical value or grade is assigned to each sub-stage;
[0077] Code the disease type and assign a unique identifier to each disease; also quantify the severity or damage level of the disease;
[0078] Integrate the quantified crop types, growth stages and disease type information to construct the field crop growth status vector;
[0079] A farmland unit division model is constructed based on historical data and machine learning algorithms; the model can automatically divide reasonable pesticide application units according to the input field crop growth state vector and field size specifications;
[0080] Input the constructed field crop growth state vector and field size specifications into the pre-trained farmland unit division model;
[0081] Based on the input information, the model outputs a partitioning strategy, including the number, location, size and shape of the application units; this partitioning strategy aims to ensure that the crop growth status and disease conditions within each application unit are relatively consistent, thereby facilitating subsequent efficacy evaluation.
[0082] In this step, by clarifying the crop types, growth stages and disease types in the pesticide application field and quantifying them, a model that accurately reflects the growth state vector of field crops can be constructed; the field crop growth state vector comprehensively considers the sensitivity and demand of crops to pesticides and the response of diseases to pesticides, so as to more accurately evaluate the actual efficacy of compound pesticides under field conditions; using a pre-trained farmland unit division model, reasonable pesticide application units can be automatically divided according to the field crop growth state vector and field size specifications; ensuring that the crop growth state and disease conditions in each pesticide application unit are relatively consistent, reducing the efficacy evaluation error caused by crop growth differences and uneven disease distribution; through automated and intelligent division strategies, it can greatly improve Improve the efficiency of efficacy evaluation; compared with the traditional manual division method, this method is more objective, accurate and easy to implement; at the same time, the output of the division strategy also facilitates the subsequent application operation and efficacy data collection; after understanding the crop types, growth stages and disease types in the field, it is possible to select suitable pesticides and formulate application strategies in a more targeted manner; it helps to reduce the amount of pesticides used, reduce environmental pollution, and improve the prevention and control effect; this step clarifies key information such as crop types, growth stages and disease types, and adopts quantitative processing and intelligent division strategies to provide a solid foundation for the subsequent field efficacy evaluation of compound pesticide preparations; this not only improves the accuracy and efficiency of efficacy evaluation, but also promotes the development of agriculture in a more scientific and environmentally friendly direction.
[0083] S2, obtaining the efficacy value of each pesticide application unit, and assigning values based on the position of the pesticide application unit in the field to obtain a pesticide application field efficacy matrix; the efficacy value is the disease density of the pesticide application unit before the pesticide application minus the disease density of the pesticide application unit after the preset duration of the pesticide application;
[0084] The method for obtaining the efficacy matrix of pesticide application in the field comprises:
[0085] Before applying pesticides, measure the disease density of each application unit to obtain the disease density of the application unit before applying pesticides; randomly select a number of sample points in each application unit and record the disease density of each sample point;
[0086] Apply pesticides to each application unit according to the predetermined compound pesticide formula and application method; record key information such as application time, dosage, and method;
[0087] After a preset time period after the application of pesticides, the disease density of each application unit is surveyed again to obtain the disease density of the application unit after the preset time period of the application of pesticides;
[0088] The efficacy value is obtained by subtracting the disease density of the application unit after the preset application time from the disease density of the application unit before application.
[0089] According to the division strategy of the pesticide application field, determine the number of rows and columns of the matrix;
[0090] Assign the efficacy value of each application unit to the corresponding element in the matrix; usually, each row of the matrix represents a drug application unit, and each column represents different efficacy value information, so as to obtain the drug efficacy matrix of the application field;
[0091] When constructing the matrix, some outliers may be encountered; these outliers may be caused by survey errors, uneven application of pesticides or other factors; these outliers should be reviewed and handled, such as re-survey, elimination or special marking.
[0092] In this step, by accurately measuring the disease density of each application unit before and after application, the efficacy value of each application unit can be accurately calculated; it is more comprehensive and accurate than traditional single disease density changes or crop growth indicators, and can more truly reflect the actual efficacy of compound pesticides under field conditions; the acquisition of efficacy values is not only based on changes in disease density, but also combined with the location information of the application unit in the field; it is helpful to analyze the impact of different positions on efficacy, so as to more comprehensively evaluate the effect of compound pesticides; the efficacy value of each application unit is assigned to the corresponding element in the matrix, and the field efficacy matrix of application is constructed; the matrix representation makes the efficacy data more intuitive and easy to analyze, which helps to discover the spatial distribution law of efficacy and potential problem areas; when constructing the matrix, possible abnormal values are reviewed and processed; it can ensure the accuracy and reliability of efficacy data and avoid misleading conclusions caused by survey errors, uneven application of pesticides and other factors.
[0093] S3, uniformly counting the efficacy matrix of the applied pesticide field, obtaining the average efficacy value of the compound pesticide, and correcting the average efficacy value of the compound pesticide by taking into account the application method; the application method includes spraying, irrigation and broadcasting;
[0094] The method for correcting the uniform value of compound pesticide efficacy includes:
[0095] Extract the efficacy value of each application unit from the field efficacy matrix; these efficacy values reflect the changes in disease density before and after application of the application unit and are the direct basis for evaluating efficacy;
[0096] The extracted efficacy values are evenly counted, that is, the average efficacy values of all application units are calculated to obtain an average value that can represent the efficacy level of the entire field; this helps to eliminate the efficacy differences caused by special conditions in individual application units, thereby more accurately reflecting the overall performance of compound pesticides in the field;
[0097] According to the actual application operation, the application methods are divided into spraying, irrigation and broadcasting; different application methods have different effects on the efficacy of the medicine;
[0098] For each application method, a drug efficacy correction coefficient is determined based on existing research or experimental data; this coefficient reflects the potential impact of different application methods on drug efficacy and is used to correct the drug efficacy uniformity value;
[0099] The efficacy correction coefficient is applied to the efficacy uniform value to obtain the corrected efficacy uniform value; this value more accurately reflects the overall efficacy performance of the compound pesticide in the field after considering differences in application methods.
[0100] In this step, by calculating the average value of the efficacy values of all application units, a uniform value that can represent the efficacy level of the entire field is obtained; this helps to eliminate the efficacy differences caused by special conditions in individual application units, thereby more comprehensively reflecting the overall performance of compound pesticides in the field; the calculation of the uniform value eliminates the influence of local outliers, avoids misleading the overall efficacy evaluation due to the special conditions of individual application units, and improves the accuracy and reliability of the evaluation results; according to the influence of different application methods on the efficacy, a correction coefficient is introduced to correct the uniform value of the efficacy; this makes the evaluation results closer to the actual application situation and improves the scientificity of the evaluation. The correction coefficient is determined based on existing research or experimental data, ensuring the scientificity and rationality of the correction process. By considering the impact of application methods on efficacy, it can provide scientific application suggestions for farmers and agricultural technicians, helping them to choose the most appropriate application method and improve the prevention and control effect. The corrected efficacy uniformity value is a quantitative indicator, which provides specific data support for agricultural management and decision-making, and helps to formulate more effective pest and disease control plans. S3 can not only more accurately evaluate the actual efficacy of compound pesticides under field conditions, but also provide scientific support for optimizing application strategies, reducing pesticide use and protecting the environment.
[0101] S4, feature recognition is performed on the efficacy matrix of the applied field, the efficacy characteristic value of the compound pesticide is obtained, and the relative relationship between the application time node and the disease onset period is considered to correct the efficacy characteristic value of the compound pesticide;
[0102] The method for correcting the characteristic value of compound pesticide efficacy includes:
[0103] Preprocess the efficacy matrix of the applied field, including data cleaning, missing value processing and outlier detection, to ensure the accuracy and reliability of the data;
[0104] Extract key features from the efficacy matrix, including the maximum, minimum, average, standard deviation and spatial distribution characteristics of the efficacy value; these features can reflect the efficacy performance and differences of compound pesticides in different application units;
[0105] According to actual needs and evaluation objectives, the characteristics that have an important impact on the efficacy evaluation are selected as the efficacy characteristic values; the selected characteristic values can fully and accurately reflect the efficacy characteristics of compound pesticides in field applications;
[0106] Clarify the relative relationship between the application time and the disease onset period; the disease onset period includes the initial stage, peak stage and decline stage of the disease; by comparing the application time with the disease onset period, evaluate whether the application time is appropriate and whether it may affect the efficacy of the drug;
[0107] The temporal and spatial distribution of the extracted efficacy characteristic values was analyzed to examine the changing trend of the efficacy characteristic values between different application units and the fluctuations at different time points. By analyzing the temporal and spatial distribution of these characteristic values, the relationship between efficacy and application time and disease onset period can be further revealed.
[0108] According to the relative relationship between the time node of pesticide application and the disease onset period and the results of the spatiotemporal distribution analysis, the correction coefficient of the characteristic value of drug efficacy is determined; the correction coefficient of the characteristic value of drug efficacy is intended to reflect the degree of influence of the relative relationship between the time node of pesticide application and the disease onset period on the characteristic value of drug efficacy;
[0109] The determined efficacy characteristic value correction coefficient is applied to the extracted efficacy characteristic value for correction; this step aims to make the efficacy characteristic value more accurately reflect the actual efficacy of the compound pesticide in field application, while taking into account the relative relationship between the application time and the disease onset period.
[0110] In this step, the accuracy and reliability of the efficacy matrix data are ensured through data cleaning, missing value processing and outlier detection, laying a solid foundation for subsequent feature identification and analysis; the maximum, minimum, average, standard deviation and spatial distribution characteristics of the efficacy values are extracted, which can comprehensively reflect the efficacy performance and differences of compound pesticides in different application units, and provide a multi-dimensional efficacy evaluation perspective; according to actual needs and evaluation objectives, the characteristics that have an important impact on the efficacy evaluation are selected as the efficacy characteristic values, ensuring the scientificity and practicality of the evaluation results; the relationship between the time node and the disease onset period: clarify the relative relationship between the application time node and the disease onset period, evaluate whether the application time is appropriate, and whether it may affect the efficacy; help optimize the application time and improve the prevention and control effect; by analyzing the efficacy characteristic values The changing trends among different application units and the fluctuations at different time points further reveal the relationship between efficacy and application time and disease onset period, providing a scientific basis for refined management; the efficacy characteristic value correction coefficient is determined according to the relative relationship between the application time node and the disease onset period and the results of spatiotemporal distribution analysis; it can more accurately reflect the influence of the application time node on the efficacy and improve the accuracy of the evaluation results; the determined efficacy characteristic value correction coefficient is applied to the extracted efficacy characteristic value for correction; the efficacy characteristic value is made to more accurately reflect the actual efficacy of compound pesticides in field applications, while taking into account the relative relationship between application time and disease onset period; the corrected efficacy characteristic value is a quantitative indicator, which provides specific data support for agricultural management and decision-making, and helps to formulate more effective pest and disease control plans.
[0111] S5, inputting the corrected compound pesticide efficacy average value and the corrected compound pesticide efficacy characteristic value into the compound pesticide efficacy evaluation model to obtain the compound pesticide field efficacy evaluation value;
[0112] The structure of the compound pesticide efficacy evaluation model includes:
[0113] Model input layer: used to receive the corrected compound pesticide efficacy uniformity and efficacy characteristic values; the input data represents the efficacy performance under different application units, different application methods and different application time nodes; the input layer converts these data into a format that can be processed by the model, providing a basis for subsequent calculations and analysis;
[0114] Data processing layer: used for further preprocessing and feature extraction of input data; this layer includes steps such as data normalization, standardization, and feature selection to ensure the quality and consistency of input data; feature extraction aims to extract features that have an important impact on drug efficacy evaluation from the original data to improve the prediction accuracy of the model;
[0115] Model core layer: used to evaluate the efficacy based on the input data; it uses a variety of algorithms and model structures, such as neural networks, support vector machines, decision trees, etc.; it can handle complex nonlinear relationships, so as to more accurately evaluate the actual efficacy of compound pesticides under field conditions; in the model core layer, a comprehensive efficacy evaluation value is calculated based on the input efficacy average value and efficacy characteristic value; this evaluation value is a comprehensive indicator that can fully reflect the efficacy performance of compound pesticides under different conditions;
[0116] Output layer: used to output the efficacy evaluation value calculated by the core layer of the model to the user; this layer includes functions such as result interpretation and visual display to help users better understand the evaluation results of the model; the results of the output layer are usually presented in the form of numerical values or charts to facilitate users' subsequent analysis and decision-making.
[0117] In this step, by comprehensively considering the efficacy performance under different application units, different application methods and different application time nodes, the model can more comprehensively reflect the actual efficacy of compound pesticides under field conditions; the core layer of the model adopts a variety of algorithms and model structures, such as neural networks, support vector machines, decision trees, etc., which can handle complex nonlinear relationships, thereby improving the accuracy of efficacy evaluation; the data processing layer further preprocesses and extracts features of the input data, ensuring the quality and consistency of the input data and providing reliable input for the model; through feature extraction, features that have an important impact on efficacy evaluation are extracted from the original data, further improving the prediction accuracy of the model; the output layer provides result interpretation and visualization display functions, so that users can more easily understand the evaluation results of the model; the output results in numerical and graphical forms facilitate users to conduct subsequent analysis and decision-making, improving the practicality and user-friendliness of the model; the entire evaluation process is based on mathematical models and algorithms, avoiding the interference of human factors and ensuring the scientificity and objectivity of the evaluation results; the application of the model provides a scientific, objective and accurate method for the efficacy evaluation of compound pesticides, which helps to promote the research and development and application of pesticide formulations.
[0118] S6. Based on the preset threshold of the compound pesticide, a qualified judgment is made on the field efficacy evaluation value of the compound pesticide;
[0119] The calculated efficacy evaluation value is compared with the preset efficacy threshold; if the efficacy evaluation value is higher than or equal to the threshold, it is considered that the efficacy of the compound pesticide in field application is qualified; if the efficacy evaluation value is lower than the threshold, it is judged to be unqualified;
[0120] For qualified compound pesticides, further analyze the advantages and disadvantages of their efficacy performance to provide guidance for subsequent pesticide research and development and application;
[0121] For compound pesticides that are judged as unqualified, we will conduct in-depth analysis on the reasons for their poor efficacy, which include improper application methods, unreasonable application time nodes, and poor synergy between pesticide components, and propose improvement measures for these problems; adjust and optimize the formula, application method, application time nodes, etc. of compound pesticides to improve their efficacy and reduce adverse effects on the environment and crops;
[0122] The factors affecting the setting of the preset threshold of the compound pesticide include:
[0123] Physicochemical properties of pesticides: The chemical composition, physicochemical properties and mechanism of action of pesticides directly affect their efficacy. For example, some pesticides may be effective against specific pests or diseases, but ineffective against other pests and diseases. Therefore, when setting thresholds, it is necessary to consider the specific composition and mode of action of the pesticides. The toxicity of pesticides is also an important factor to be considered when setting thresholds. Highly toxic pesticides require lower thresholds to ensure safe use. At the same time, the residues of pesticides in the environment and their impact on the ecosystem also need to be considered.
[0124] Types and characteristics of pests and diseases: Different pests and diseases have different living habits, development stages and resistance levels; therefore, when setting thresholds, it is necessary to consider the specific types and characteristics of pests and diseases, as well as their sensitivity to pesticides; for pests and diseases that cause serious harm, higher prevention and control standards need to be set to ensure the safety of agricultural production;
[0125] Application method: Different application methods will affect the coverage and uniformity of pesticides, thus affecting the efficacy; therefore, when setting the threshold, it is necessary to consider the specific conditions of the application method and its impact on the efficacy;
[0126] Application time: The application time is closely related to the onset period of pests and diseases. Applying pesticides at the peak of pests and diseases can achieve better control effects. Therefore, when setting the threshold, the relative relationship between the application time and the onset period of pests and diseases needs to be considered.
[0127] Environmental factors: Environmental factors such as temperature, humidity, light, and soil properties can affect the efficacy of pesticides. For example, herbicides may be less effective under drought conditions. Therefore, when setting thresholds, local climate conditions and soil conditions need to be considered.
[0128] Crop types: Different crops have different sensitivities and tolerances to pesticides. At the same time, crops have different requirements for pesticides at different growth stages. Therefore, when setting thresholds, the specific conditions of crop types and growth stages need to be considered.
[0129] In this step, by setting reasonable efficacy thresholds and comparing the calculated efficacy evaluation values with these thresholds, it is possible to scientifically and accurately determine whether the efficacy of compound pesticides in field applications is qualified; it avoids the one-sidedness of single indicator evaluation, comprehensively considers multiple influencing factors, and improves the accuracy and reliability of the evaluation; for compound pesticides judged to be qualified, this step further analyzes the advantages and disadvantages of their efficacy performance, which helps to optimize pesticide formulations, improve application methods and time nodes, thereby improving efficacy and reducing adverse effects on the environment and crops; at the same time, for compound pesticides judged to be unqualified, in-depth analysis of the reasons for their poor efficacy and proposal of improvement measures also provide a reference for the research and development of pesticides. It provides a direction for development and improvement; by reasonably setting the efficacy threshold and making qualified judgments, it is possible to screen out compound pesticides with good efficacy and environmental friendliness; it helps to reduce the abuse and misuse of pesticides, reduce pesticide residues and the negative impact on the ecosystem, and promote the sustainable development of agriculture; the implementation of this step helps to improve the efficiency of pesticide use and the control effect, reduce pesticide waste and unnecessary input; it not only reduces agricultural production costs and improves economic benefits, but also helps to ensure the quality and safety of agricultural products and safeguard the health and rights of consumers; at the same time, by promoting the use of efficient and environmentally friendly compound pesticides, it can also improve the overall level and competitiveness of agricultural production and promote the process of agricultural modernization.
[0130] Embodiment 2: Figure 4 As shown, a method for evaluating the efficacy of a compound pesticide preparation in the field of the present invention specifically includes the following modules:
[0131] The plot division module divides the pesticide application field into several pesticide application units according to the preset division strategy;
[0132] The efficacy matrix construction module obtains the efficacy value of each pesticide application unit and assigns a value based on the position of the pesticide application unit in the field to obtain the pesticide application field efficacy matrix; the efficacy value is the disease density of the pesticide application unit before the pesticide application minus the disease density of the pesticide application unit after the preset duration of the pesticide application;
[0133] The efficacy uniformity analysis module performs uniform statistics on the efficacy matrix of the applied field, obtains the uniform value of the efficacy of the compound pesticide, and corrects the uniform value of the efficacy of the compound pesticide by taking into account the application method; the application method includes spraying, irrigation and broadcasting;
[0134] The efficacy characteristic recognition module performs characteristic recognition on the efficacy matrix of the applied field, obtains the efficacy characteristic value of the compound pesticide, and considers the relative relationship between the application time node and the disease onset period to correct the efficacy characteristic value of the compound pesticide;
[0135] The efficacy evaluation module inputs the corrected compound pesticide efficacy average value and the corrected compound pesticide efficacy characteristic value into the compound pesticide efficacy evaluation model to obtain the compound pesticide field efficacy evaluation value;
[0136] The qualified judgment module makes a qualified judgment on the field efficacy evaluation value of the compound pesticide based on the preset threshold value of the compound pesticide.
[0137] The system divides the field into multiple application units through the plot division module, which can more carefully capture the changes in drug efficacy in different areas;
[0138] The efficacy matrix construction module not only takes into account the changes in disease density, but also combines the location of the application unit in the field to assign values, thereby more comprehensively reflecting the real effect of compound pesticides in field applications;
[0139] The efficacy uniformity analysis module and efficacy characteristic recognition module respectively conduct in-depth analysis on the uniformity and characteristics of efficacy, further improving the accuracy of evaluation; the system considers the impact of different application methods on efficacy and makes corresponding corrections, making the evaluation results more in line with the actual situation; at the same time, the system also considers the relative relationship between the application time node and the disease onset period, and corrects the efficacy characteristic value, further enhancing the applicability of the system;
[0140] The system uses mathematical models and statistical analysis methods to evaluate the efficacy, avoiding the subjectivity of human judgment and improving the scientific nature of the evaluation. The efficacy evaluation module uses the compound pesticide efficacy evaluation model to calculate by inputting the corrected efficacy average value and efficacy characteristic value to obtain an objective and accurate efficacy evaluation value.
[0141] The modules of the system have clear logic and are interrelated, making them easy to operate and implement. The system can provide reliable efficacy evaluation results for agricultural production, guide farmers to use compound pesticides scientifically and rationally, and improve agricultural production efficiency and agricultural product quality.
[0142] In summary, the application of this system can not only help scientific researchers and farmers better understand and evaluate the effects of existing compound pesticides, but also provide data support for the research and development of new agents, and promote the continuous advancement and optimization of pesticide technology.
[0143] The various variations and specific embodiments of the method for evaluating the efficacy of compound pesticide preparations in the field in the aforementioned embodiment 1 are also applicable to the system for evaluating the efficacy of compound pesticide preparations in the field in this embodiment. Through the aforementioned detailed description of the method for evaluating the efficacy of compound pesticide preparations in the field, those skilled in the art can clearly understand the implementation method of the system for evaluating the efficacy of compound pesticide preparations in the field in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.
[0144] In addition, the present application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected via a bus. When the computer program is executed by the processor, each process of the above-mentioned method for controlling output data is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.
[0145] The above is only a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the technical principle of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.
Claims
1. A method for evaluating the efficacy of compound pesticide preparations in field, characterized in that: The method comprises: Divide the pesticide application field into a number of pesticide application units according to a preset division strategy; Obtaining the efficacy value of each pesticide application unit, and assigning values based on the position of the pesticide application unit in the field to obtain a pesticide application field efficacy matrix; the efficacy value is the disease density of the pesticide application unit before the pesticide application minus the disease density of the pesticide application unit after the preset duration of the pesticide application; The efficacy matrix of the applied pesticide field is uniformly counted to obtain the average efficacy value of the compound pesticide, and the average efficacy value of the compound pesticide is corrected by taking into account the application method; the application method includes spraying, irrigation and broadcasting; The characteristic values of compound pesticide efficacy are obtained by identifying the efficacy matrix of the applied field, and the relative relationship between the application time node and the disease onset period is considered to correct the efficacy characteristic values of compound pesticides. Inputting the corrected compound pesticide efficacy average value and the corrected compound pesticide efficacy characteristic value into the compound pesticide efficacy evaluation model to obtain the compound pesticide field efficacy evaluation value; Based on the preset threshold value of the compound pesticide, the field efficacy evaluation value of the compound pesticide is judged to be qualified.
2. The method for evaluating the efficacy of a compound pesticide formulation in field according to claim 1, characterized in that: The method for setting the partitioning strategy includes: Obtain the crop types, growth stages, disease types, and field size specifications in the fields being treated; Quantify crop types, growth stages, and disease types; The quantified crop types, growth stages and disease types are converted into data to obtain the growth state vector of field crops; The field crop growth state vector and field size specification are assigned to a pre-trained farmland unit division model to obtain the division strategy.
3. The method for evaluating the efficacy of a compound pesticide formulation in field according to claim 1, characterized in that: The method for obtaining the efficacy matrix of pesticide application in the field comprises: Before applying pesticides, the disease density of each application unit is measured to obtain the disease density of the application unit before applying pesticides; Apply pesticides to each application unit according to the predetermined compound pesticide formula and application method; After a preset time period after the application of pesticides, the disease density of each application unit is surveyed again to obtain the disease density of the application unit after the preset time period of the application of pesticides; The efficacy value is obtained by subtracting the disease density of the application unit after the preset application time from the disease density of the application unit before application. According to the division strategy of the pesticide application field, determine the number of rows and columns of the matrix; The efficacy value of each application unit is assigned to the corresponding element in the matrix to obtain the field efficacy matrix of application.
4. The method for evaluating the efficacy of a compound pesticide preparation in field according to claim 1, characterized in that: The method for correcting the uniform value of compound pesticide efficacy includes: Extract the efficacy value of each application unit from the efficacy matrix of the applied field; The extracted efficacy values are statistically averaged, the average efficacy values of all application units are calculated, and the average efficacy value of the compound pesticide is obtained; The application methods are divided into spraying, irrigation and broadcasting; For each application method, determine a drug efficacy correction factor; The drug efficacy correction coefficient is applied to the drug efficacy average value to obtain the corrected drug efficacy average value.
5. The method for evaluating the efficacy of a compound pesticide formulation in field according to claim 1, characterized in that: The method for correcting the characteristic value of compound pesticide efficacy includes: Preprocess the drug efficacy matrix of the applied field and extract the drug efficacy characteristic value from the drug efficacy matrix; Obtain the relative relationship between the application time node and the disease onset period; the disease onset period includes the initial onset period, peak period and decline period of the disease; The spatiotemporal distribution of the extracted pharmacodynamic characteristic values was analyzed to examine the changing trend of the pharmacodynamic characteristic values between different application units and their fluctuations at different time points; According to the relative relationship between the application time node and the disease onset period and the results of the spatiotemporal distribution analysis, the correction coefficient of the efficacy characteristic value is determined; The determined pharmacodynamic characteristic value correction coefficient is applied to the extracted pharmacodynamic characteristic value for correction.
6. The method for evaluating the efficacy of a compound pesticide formulation in field according to claim 1, characterized in that: The structure of the compound pesticide efficacy evaluation model includes: Model input layer: used to receive the corrected average value and characteristic value of compound pesticide efficacy; Data processing layer: used to preprocess and extract features of input data; Model core layer: used to evaluate drug efficacy based on input data; Output layer: used to output the efficacy evaluation value calculated by the core layer of the model to the user.
7. The method for evaluating the efficacy of a compound pesticide formulation in field according to claim 1, characterized in that: The factors affecting the setting of the preset threshold of the compound pesticide include the physical and chemical properties of the pesticide, the type and characteristics of the pests and diseases, the application method, the application time node, environmental factors and the crop type.
8. A field efficacy evaluation system for compound pesticide preparations, characterized in that: The system comprises: The plot division module divides the pesticide application field into several pesticide application units according to the preset division strategy; The efficacy matrix construction module obtains the efficacy value of each pesticide application unit and assigns a value based on the position of the pesticide application unit in the field to obtain the pesticide application field efficacy matrix; the efficacy value is the disease density of the pesticide application unit before the pesticide application minus the disease density of the pesticide application unit after the preset duration of the pesticide application; The efficacy uniformity analysis module performs uniform statistics on the efficacy matrix of the applied field, obtains the uniform value of the efficacy of the compound pesticide, and corrects the uniform value of the efficacy of the compound pesticide by taking into account the application method; the application method includes spraying, irrigation and broadcasting; The efficacy characteristic recognition module performs characteristic recognition on the efficacy matrix of the applied field, obtains the efficacy characteristic value of the compound pesticide, and considers the relative relationship between the application time node and the disease onset period to correct the efficacy characteristic value of the compound pesticide; The efficacy evaluation module inputs the corrected compound pesticide efficacy average value and the corrected compound pesticide efficacy characteristic value into the compound pesticide efficacy evaluation model to obtain the compound pesticide field efficacy evaluation value; The qualified judgment module makes a qualified judgment on the field efficacy evaluation value of the compound pesticide based on the preset threshold value of the compound pesticide.
9. An electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, wherein: When the computer program is executed by the processor, the steps in the method according to any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 7 are implemented.
Citation Information
Cited By
Pesticide spraying detection method based on machine learning
CN120064162A
Greenhouse pesticide application method based on dynamic regulation and control of environmental factors
CN120500993A