Monitoring and prevention method for comprehensive prevention and control of tobacco viruses

By collecting the concentrations of tobacco root metabolites and leaf volatile organic compounds, and combining multidimensional data analysis and dynamic models, control agents were formulated, solving the problem of difficulty in monitoring tobacco viruses and determining their transmission direction. This enabled early warning and precise control, improving control efficiency.

CN121186291APending Publication Date: 2025-12-23YUNNAN TOBACCO CO CHUXIONG PREFECTURE CO
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Patent Information

Application Number
CN202511246487.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-02
Publication Date
2025-12-23

AI Technical Summary

Technical Problem

Current technology cannot achieve comprehensive monitoring of tobacco viruses, making it difficult to determine the direction of virus transmission, resulting in low prevention and control efficiency.

Method used

By collecting the concentrations of metabolites secreted by tobacco roots and the concentrations of volatile organic compounds released by leaves, and combining multidimensional data fusion and dynamic model quantitative analysis, a comprehensive virus control agent was formulated. Furthermore, by using a hyperspectral imager to collect leaf state images, the risk of virus infection and the direction of transmission were accurately determined.

Benefits of technology

It enables early warning, accurate identification, and efficient prevention and control of tobacco virus damage, reducing pesticide waste and environmental pollution, and improving prevention and control efficiency and accuracy.

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Abstract

The invention discloses a monitoring and prevention method for comprehensive prevention and control of tobacco viruses. The monitoring and prevention method comprises the following steps: S1, collecting tobacco virus monitoring data; s2, analyzing a virus infection risk index through the monitoring data; s3, preparing a comprehensive virus control agent; s4, collecting leaf states of the tobacco plants; s5, judging an infection propagation direction by combining multi-dimensional data; according to the method, concentration data of root system metabolites and leaf VOCs are collected at the same time, and multi-parameter conjoint analysis of virus invasion is achieved; through joint analysis of VOCs concentration data in the orientation, root system metabolites and leaf apparent parameters, the numerical value change trend in the virus propagation direction is quantified, and accurate positioning of a propagation path is achieved; through multi-dimensional data fusion, dynamic model quantitative analysis and physical blocking and medicament cooperative prevention and control, early warning, accurate judgment, propagation direction quantification and efficient prevention and control of tobacco virus infringement are realized, and a complete closed loop from monitoring to intervention is formed.
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Description

Technical Field

[0001] This application relates to the field of integrated tobacco virus prevention and control technology, and in particular to a monitoring and prevention method for integrated tobacco virus prevention and control. Background Technology

[0002] Tobacco is an annual herbaceous plant belonging to the genus Nicotiana in the family Solanaceae. Tobacco viral diseases, commonly known as tobacco mosaic virus, are the most widespread and prevalent category of diseases in tobacco production. Sixteen types of tobacco viral diseases have been identified, among which the main viruses causing tobacco mosaic virus are TMV, CMV, and PVY. In most areas, viral diseases occur in mixtures with several viruses, such as tobacco cucumber mosaic virus (CMV) and tobacco common mosaic virus (TMV), leading to repeated infections. The disease incidence rate in the field is generally 20%–40%, reaching 40%–80% in severe cases. After tobacco is infected with viruses, chlorophyll is destroyed, photosynthesis is weakened, leaf growth is inhibited, leaves are small and deformed, and yield reduction can reach 20%–80%. Viral diseases also severely affect the quality of tobacco leaves, causing them to deteriorate.

[0003] Tobacco viral diseases are a common type of infectious disease in tobacco-growing areas, characterized by their diverse types and wide distribution, and are one of the most important diseases affecting tobacco-growing regions. Since the 1950s, tobacco viral diseases have occurred and caused frequent outbreaks in various countries around the world, resulting in significant losses to tobacco production, directly dampening the enthusiasm of tobacco growers, and becoming one of the major diseases threatening tobacco leaf production. In recent years, the situation has become increasingly serious. Therefore, extensive and in-depth research has been conducted on the occurrence and control of tobacco viral diseases, yielding significant results.

[0004] Currently, existing integrated pest management methods for tobacco viruses include seedling disinfection management, field management, and chemical control; however, they have significant shortcomings in determining the direction of virus transmission. While monitoring tobacco virus infection using a single parameter can reflect the health status of plants, it is difficult to achieve comprehensive monitoring of tobacco viruses and determine the direction of virus transmission. Therefore, there is an urgent need for an integrated monitoring method based on multidimensional data fusion, dynamic model quantitative analysis, and synergistic control of physical barriers and chemical agents to improve the prediction accuracy and control efficiency of tobacco virus infestation. Summary of the Invention

[0005] The main objective of this application is to provide a monitoring and prevention method for the comprehensive prevention and control of tobacco viruses, in order to solve the problems of existing technologies being unable to monitor tobacco viruses, inconvenient to achieve multi-dimensional monitoring and judgment, and unable to prevent and control based on the transmission direction of tobacco viruses.

[0006] To achieve the above objectives, this application provides the following technical solution: A monitoring and prevention method for integrated tobacco virus control includes the following steps: S1. Collect tobacco virus monitoring data: Collect the concentration of tobacco root secretions in the soil of tobacco in the region, and collect the concentration of volatile organic compounds released by tobacco leaves in the region. Extract characteristic parameters of root metabolites and extract characteristic parameters of VOCs concentration data to obtain organic acid concentration, amino acid concentration, ethane concentration and ethylene concentration. S2. Analyze the virus infection risk index through monitoring data: Calculate the abnormal values ​​of organic acid, amino acid, ethane and ethylene based on the difference between the threshold and the concentrations of organic acid, amino acid, ethane and ethylene, and obtain the cross values ​​through cross analysis. Then, calculate the virus infection risk index based on the cross values. S3. Prepare comprehensive virus control agents: Prepare comprehensive virus control agents on-site and spray them on tobacco plants in virus-infected areas to achieve timely control measures. S4. Collect images of tobacco plant leaves: Collect images of the appearance of tobacco leaves using a hyperspectral imager and extract leaf color gradient values, texture complexity values, and chlorophyll content values ​​as key feature parameters. S5. Determine the direction of infection transmission by combining multidimensional data: Combine the concentration of metabolites secreted by tobacco roots at multiple points and the concentration of volatile organic compounds released by tobacco leaves, as well as the calculated leaf color gradient value, texture complexity value and chlorophyll content value to calculate the direction of virus infection transmission.

[0007] Furthermore, the tobacco area within the region in S1 is divided as follows: The tobacco plantation was divided into rectangular areas, with each area limited to a 5m x 5m square. Furthermore, a ridge with a width of 10cm-30cm is constructed between each area, wherein the ridge for dividing the area is set to be 10cm wide, and the ridge for pedestrians is set to be 30cm wide; The height of the ridges should be 5cm-8cm higher than the tobacco planting area to form terraced planting space.

[0008] Furthermore, the steps for collecting the concentrations of metabolites and volatile organic compounds in S1 are as follows: NIRS sensors are deployed in the root zone of the terraced planting space. The NIRS sensors acquire spectral reflectance data by scanning the root surface with multiple wavelengths. NIRS sensors are installed in the four directions of the terraced planting space, and an NIRS sensor is installed in the center of the terraced planting space. Furthermore, the specific locations of the NIRS sensors in the four directions are 1m away from the edge of the terraced field; The concentration of metabolites secreted by tobacco roots was monitored by near-infrared spectroscopy. The metabolites included organic acids and amino acids. A GC-MS detection device is deployed on the surface of tobacco leaves. The GC-MS detection device collects VOCs gas samples released by the leaves through an adsorption tube and performs mass spectrometry analysis in the wavelength range of 100-200nm to obtain VOCs concentration data released by the leaves. The spectral reflectance data and VOCs concentration data are preprocessed, and then analyzed and processed.

[0009] Furthermore, the risk value of tobacco virus infection in S2 is processed through multidimensional data analysis, and the specific processing is as follows: First, the concentrations of extracted organic acids, amino acids, ethane, and ethylene were subjected to difference calculations to obtain abnormal values ​​for organic acids, amino acids, ethane, and ethylene. The cross-validation indices of organic acid outliers and amino acid outliers, and the cross-validation indices of ethane outliers and ethylene outliers were correlated using a multiple nonlinear regression model. The correlation formula is as follows: ; in, It is represented as the cross-validation index between organic acid outliers and amino acid outliers. This is represented by the cross-validation index of ethane outliers and ethylene outliers. This is represented as a viral infection risk index. The weighting coefficients represent the cross-validation index of organic acid outliers and amino acid outliers. This represents the coupling coefficient, expressed as the cross-validation exponent between ethane and ethylene outliers. For a specific wavelength.

[0010] Furthermore, the cross-validation index of the organic acid outliers and amino acid outliers... The calculation formula is: ; in, It is represented as the cross-validation index between organic acid outliers and amino acid outliers. and These represent the weights of organic acid outliers and amino acid outliers, respectively. The weighting coefficients were determined through laboratory calibration and field trials. This is represented as an outlier for organic acids. This is represented as an amino acid anomaly. like Then, the potential signal of the tobacco plant being attacked by the virus is determined, and the determination is based on the numerical threshold obtained by superimposing the outliers of the two.

[0011] Furthermore, the cross-validation index of the ethane outlier and the ethylene outlier... The calculation formula is: ; in, This is represented by the cross-validation index of ethane outliers and ethylene outliers. and These represent the weights of ethane outliers and ethylene outliers, respectively. The weighting coefficients were determined through laboratory calibration and field trials. This is represented as an ethane outlier. This is indicated as an abnormal value for ethylene; like If the signal indicates potential viral infection in tobacco plants, further verification using dynamic equations is required.

[0012] Furthermore, the formulation of the comprehensive virus prevention and control agent in S3 is as follows: Mix water, potassium dihydrogen phosphate, potassium sulfate, imidacloprid, trichloroisocyanuric acid wettable powder, beer, and Huangguan humic acid water-soluble fertilizer in a specific ratio to form an integrated pest management agent. The specific proportions are as follows: Use 20 kg of water as a diluent to prepare the pesticide; dilute 40 g of potassium dihydrogen phosphate to a 500-fold dilution; dilute 200 g of potassium sulfate to a 100-fold dilution; dilute 40 g of imidacloprid to a 500-fold dilution; dilute 20 g of 42% trichloroisocyanuric acid wettable powder to a 1000-fold dilution; dilute 400 g of beer to a 50-fold dilution; and dilute 40 g of Huangguan humic acid water-soluble fertilizer to a 500-fold dilution. Add the agent to water according to the dilution ratio, stir well, and a comprehensive antiviral agent is formed.

[0013] Furthermore, the specific operational steps for preparing and using the comprehensive virus prevention and control agent are as follows: Pour 20 kg of clean water into the spray container; Add the following in sequence: 40 grams of potassium dihydrogen phosphate diluted to 500 times; 200 grams of potassium sulfate diluted to 100 times; 40 grams of imidacloprid diluted to 500 times; 20 grams of 42% trichloroisocyanuric acid wettable powder diluted to 1000 times; 400 grams of beer diluted to 50 times; and 40 grams of Huangguan humic acid water-soluble fertilizer diluted to 500 times. Stir until the agents are completely dissolved to form the final integrated virus control agent. In the viral infection risk index At that time, spray the virus control agent once every 3 days for 7 days; use high-pressure spraying equipment to evenly spray the virus control agent on the front and back of the tobacco plant leaves and root area, covering an area of ​​not less than 80% of the plant surface area.

[0014] Furthermore, the specific operational steps for acquiring the apparent state image of the tobacco leaves in S4 are as follows: A drone equipped with a hyperspectral imager was used to collect images of the leaves of tobacco plants in the tobacco planting area to obtain images of their appearance. The apparent state image is preprocessed, including denoising, correction and segmentation, to extract individual image regions of a single leaf; The leaf color gradient values ​​were calculated using color gradient analysis. The texture complexity value is calculated through texture complexity analysis; The chlorophyll content was obtained by chlorophyll content detection.

[0015] Furthermore, the specific calculation of the virus infection transmission direction in S5 is as follows: Numerical correlation formula for determining the direction of virus transmission: ; in, This represents the numerical trend of changes in the direction of virus transmission. ∈[0.1,0.5] represents the weighting coefficient of the azimuth outlier. ∈[0.1,1.5] represents the regression coefficients of the principal components. This represents the location values ​​of the concentrations of metabolites secreted by tobacco roots and the concentrations of volatile organic compounds released by tobacco leaves. This is represented by the orientation values ​​of leaf color gradient, texture complexity, and chlorophyll content. This is represented as a numerical value for the leaf color gradient. Represented as a texture complexity value. Expressed as a numerical value for chlorophyll content; like The value is significantly higher in one direction than in other directions, such as the east. If the direction of virus transmission is determined to be eastward, the determination is based on the difference in the trend of numerical changes.

[0016] The beneficial effects of this invention are: This invention achieves multi-parameter joint analysis of viral damage by simultaneously collecting concentration data of root metabolites and leaf VOCs, avoiding the risk of misjudgment based on a single parameter and improving early warning capabilities; it can achieve early prediction compared to traditional methods that rely on leaf symptoms; by setting outlier values ​​for organic acid concentration, amino acid concentration, ethane concentration, and ethylene concentration, and combining the cross-validation index with a multivariate nonlinear regression model, it can achieve accurate determination of viral damage and improve the accuracy of viral damage determination. This invention quantifies the numerical trend of virus transmission direction by combining directional VOCs concentration data, root metabolites, and leaf phenotypic parameters, thus achieving precise location of the transmission path. It can improve the accuracy of virus transmission direction determination. Based on the differences in virus transmission direction values, it dynamically adjusts the pesticide spraying range, prioritizing concentrated control of high-risk directions to reduce pesticide waste and environmental pollution. Furthermore, it divides tobacco plantations into rectangular areas and sets up field ridges between these areas to form a physical barrier layer, effectively inhibiting the transmission paths of irrigation water and air. This invention achieves early warning, accurate judgment, quantitative analysis of transmission direction, and efficient prevention and control of tobacco virus infection through multi-dimensional data fusion, dynamic model quantification, and synergistic control of physical blocking and chemical agents, forming a complete closed loop from monitoring to intervention. From basic data collection to complex model construction, and then to cost optimization and environmental friendliness in practical applications, it ultimately achieves the comprehensive goal of significantly improving prevention and control efficiency and reducing economic losses and ecological risks. Through early warning, accurate judgment, physical blocking, dynamic chemical spraying, and transmission direction analysis, a closed-loop prevention and control system is formed, significantly improving the comprehensive prevention and control capabilities of tobacco viruses. It is suitable for large-scale tobacco plantations and achieves automated monitoring and control through the linkage of UAV hyperspectral imagers and ground sensors. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating the steps of a comprehensive tobacco virus monitoring and prevention method according to this application. Figure 2 This is a schematic diagram illustrating the steps for collecting the concentrations of metabolites and volatile organic compounds in a monitoring and prevention method for integrated tobacco virus control according to this application. Figure 3 A schematic diagram illustrating the steps involved in preparing and using the integrated virus control agent in the monitoring and prevention method for integrated tobacco virus control according to this application; Figure 4 This diagram illustrates the specific operational steps for acquiring apparent state images in a monitoring and prevention method for integrated tobacco virus control according to this application. Detailed Implementation

[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0019] like Figures 1-4 As shown, this embodiment provides an example of a monitoring and prevention method for integrated tobacco virus control, which includes the following steps: S1. Collect tobacco virus monitoring data: Collect the concentration of tobacco root secretions in the soil of tobacco in the region, and collect the concentration of volatile organic compounds released by tobacco leaves in the region. Extract characteristic parameters of root metabolites and extract characteristic parameters of VOCs concentration data to obtain organic acid concentration, amino acid concentration, ethane concentration and ethylene concentration. It should be noted that the concentration of organic acids secreted by plant roots is used to determine the abnormal release of root metabolites in tobacco plants after being attacked by the virus, and the concentration of volatile organic compounds released by leaves is used to determine the metabolic disorders in tobacco plants after being infected by the virus.

[0020] To predict and assess viral infections in tobacco plants, and to facilitate early prevention and control of viral interference, tobacco plantations are divided into zones. The specific division process is as follows: The tobacco plantation was divided into rectangular areas, with each area limited to a 5m x 5m square. Furthermore, a ridge with a width of 10cm-30cm is constructed between each area, wherein the ridge for dividing the area is set to be 10cm wide, and the ridge for pedestrians is set to be 30cm wide; The height of the ridges should be 5cm-8cm higher than the tobacco planting area to form terraced planting space; It should be noted that by setting up ridges, each terraced planting space can form a relatively independent growing space. In particular, it can prevent irrigation water from flowing between different planting spaces, which can reduce the risk of tobacco virus transmission through irrigation water. Furthermore, the regional division facilitates accurate monitoring of tobacco virus, as well as the prediction and treatment of tobacco virus infection. It also facilitates comprehensive virus prevention and control in small areas, reducing the infection of tobacco virus.

[0021] In order to monitor tobacco plants for viruses within the region, sensors were installed in the tobacco growing area to monitor tobacco viruses; the specific sensor setup is as follows: NIRS sensors are deployed in the root zone of the terraced planting space. The NIRS sensors scan the root surface with multiple wavelengths, with the wavelength range set at 1000-2500nm, to obtain spectral reflectance data. The configuration rules for NIRS sensors are as follows; NIRS sensors are installed in the four directions of the terraced planting space, and an NIRS sensor is installed in the center of the terraced planting space. Furthermore, the specific locations of the NIRS sensors in the four directions are 1m away from the edge of the terraced field; The concentration of metabolites secreted by tobacco roots was monitored by near-infrared spectroscopy. The metabolites included organic acids and amino acids. A GC-MS detection device is deployed on the surface of tobacco leaves. The GC-MS detection device collects VOCs gas samples released by the leaves through an adsorption tube and performs mass spectrometry analysis in the wavelength range of 100-200nm to obtain VOCs concentration data released by the leaves. The spectral reflectance data and VOCs concentration data are preprocessed, and then analyzed and processed. It should be noted that the concentration of metabolites secreted by tobacco roots is monitored using the near-infrared spectroscopy of the NIRS sensor, and the concentration of VOCs released from leaves is collected using the GC-MS detection device. Furthermore, the concentration of metabolites and VOCs can be used to predict and determine the viral infection status of tobacco plants. This allows for more accurate and timely prediction of viral interference in tobacco plants compared to existing methods of observing changes in tobacco plant leaves, enabling earlier prevention and control and reducing tobacco virus infection. In this embodiment, the preferred steps for preprocessing and analyzing the spectral reflectance data and VOCs concentration data are as follows: First, baseline correction, noise filtering, and normalization were performed on the spectral reflectance data and VOCs concentration data to eliminate environmental interference. Then, time-domain calibration is performed on the spectral reflectance data and VOCs concentration data to ensure that the spectral reflectance data and VOCs concentration data are in the same time domain, which facilitates time-domain alignment of the spectral reflectance data and VOCs concentration data. Then, principal component analysis was used to extract characteristic parameters of root metabolites, including organic acid concentration and amino acid concentration. Organic acid concentration was positively correlated with reflectance changes in the wavelength range of 1200-1600 nm, while amino acid concentration was negatively correlated with reflectance changes in the wavelength range of 1800-2200 nm. Further, feature parameters were extracted from the VOCs concentration data. Ethane concentration was positively correlated with the degree of leaf cell membrane damage, while ethylene concentration was negatively correlated with the virus infection rate. Finally, through the analysis and processing of multidimensional data, the risk value of tobacco plants being infected by tobacco virus was obtained; It should be noted that preprocessing the spectral reflectance data and VOCs concentration data can improve their accuracy, facilitating subsequent analysis. Furthermore, by analyzing the collected spectral reflectance data and VOCs concentration data separately, the concentrations of organic acids and amino acids in the spectral reflectance data and the concentrations of ethane and ethylene in the VOCs concentration data can be obtained. This allows for accurate calculations and determination of whether tobacco plants are infected by viruses by combining multidimensional data.

[0022] S2. Analyze the virus infection risk index through monitoring data: Calculate the abnormal values ​​of organic acid, amino acid, ethane and ethylene based on the difference between the threshold and the concentrations of organic acid, amino acid, ethane and ethylene, and obtain the cross values ​​through cross analysis. Then, calculate the virus infection risk index based on the cross values. In this embodiment, preferably, the risk value of tobacco virus infection is obtained through multidimensional data analysis and processing, and the specific processing is as follows: First, the concentrations of extracted organic acids, amino acids, ethane, and ethylene were subjected to difference calculations to obtain abnormal values ​​for organic acids, amino acids, ethane, and ethylene. Specifically, by setting thresholds for organic acid concentration, amino acid concentration, ethane concentration, and ethylene concentration, the difference between the collected and analyzed values ​​is calculated. The thresholds for organic acid concentration are ∈[0.1,2.0], amino acid concentration is ∈[0.01,3.0], ethane concentration is ∈[10,100], and ethylene concentration is ∈[50,500]. A weighted summation method was used to combine organic acid outliers with amino acid outliers to calculate the cross-validation index. The formula is: ; in, It is represented as the cross-validation index between organic acid outliers and amino acid outliers. and These represent the weights of organic acid outliers and amino acid outliers, respectively. , The weighting coefficients were determined through laboratory calibration and field trials. This is represented as an outlier for organic acids. This is represented as an amino acid anomaly. like If the potential signal of the tobacco plant being infected by the virus is determined, the threshold value is determined based on the superposition of the outliers of the two. A weighted summation method is used to combine ethane outliers with ethylene outliers to calculate the cross-validation index. The formula is: ; in, This is represented by the cross-validation index of ethane outliers and ethylene outliers. and These represent the weights of ethane outliers and the weights of ethylene outliers, respectively. , The weighting coefficients were determined through laboratory calibration and field trials. This is represented as an ethane outlier. This is indicated as an abnormal value for ethylene; like If this indicates a potential signal that the tobacco plant is infected by a virus, further verification using dynamic equations is required. The cross-validation indices of organic acid outliers and amino acid outliers, and the cross-validation indices of ethane outliers and ethylene outliers were correlated using a multiple nonlinear regression model. The correlation formula is as follows: ; in, This is represented as a viral infection risk index. The weighting coefficients represent the cross-validation index of organic acid outliers and amino acid outliers. This represents the coupling coefficient, expressed as the cross-validation exponent between ethane and ethylene outliers. For a specific wavelength, such as 1500nm; It should be noted that by separately processing the concentrations of metabolites secreted by tobacco roots and the concentrations of volatile organic compounds released by tobacco leaves, corresponding characteristic parameters are extracted to obtain the concentrations of organic acids, amino acids, ethane, and ethylene. Furthermore, by setting thresholds (obtained through laboratory testing or literature review), potential viral infections can be predicted. Differences are then established, and cross-analysis of these differences establishes relationships between organic acid, amino acid, ethane, and ethylene concentrations. These cross-values ​​are then used to predict viral infections in tobacco plants, enabling effective analysis and prediction using multimodal data, improving the accuracy of tobacco viral infection prediction, and eliminating prediction bias caused by single data sources.

[0023] S3. Prepare comprehensive virus control agents: Prepare comprehensive virus control agents on-site and spray them on tobacco plants in virus-infected areas to achieve timely control measures. It should be noted that the virus infection risk index was calculated... A value greater than 60 indicates a risk of viral infection; this is known as the viral infection risk index, ranging from 0 to 100. A higher value indicates a greater risk of viral infection. If the risk of viral infection is significantly increased, prevention and control measures should be initiated, and timely prevention and control should be carried out using the prepared comprehensive antiviral agents.

[0024] In this embodiment, the preferred formulation of the comprehensive antiviral agent is as follows: Mix water, potassium dihydrogen phosphate, potassium sulfate, imidacloprid, trichloroisocyanuric acid wettable powder, beer, and Huangguan humic acid water-soluble fertilizer in a specific ratio to form an integrated pest management agent. The specific proportions are as follows: Water is used as a diluent, with a dosage of 20 kg, for preparing the medicine; 40 grams of potassium dihydrogen phosphate, diluted to a 500-fold solution, that is, 40 grams of potassium dihydrogen phosphate added to every 500 ml of water; 200 grams of potassium sulfate, diluted to a 100-fold solution, that is, 200 grams of potassium sulfate added to every 100 milliliters of water; 40 grams of imidacloprid, diluted to a 500-fold dilution, that is, 40 grams of imidacloprid added to every 500 ml of water; 20 grams of 42% trichloroisocyanuric acid wettable powder, diluted to a 1000-fold dilution, that is, 20 grams of trichloroisocyanuric acid per 1000 ml of water; 400 grams of beer, diluted to a 50-fold dilution, that is, 400 grams of beer added to every 50 milliliters of water; 40 grams of Huangguan humic acid water-soluble fertilizer, diluted to 500 times the liquid, that is, add 40 grams of Huangguan humic acid water-soluble fertilizer to every 500 milliliters of water; Add the药剂 in sequence according to the dilution ratio to clear water, and stir evenly to form a comprehensive virus control药剂; Specific operation steps: Pour 20 kilograms of clear water into the spraying container; Add 40 grams of potassium dihydrogen phosphate diluted to 500 times in sequence; add 200 grams of potassium sulfate diluted to 100 times; add 40 grams of imidacloprid diluted to 500 times; add 20 grams of 42% trichloroisocyanuric acid wettable powder diluted to 1000 times; add 400 grams of beer diluted to 50 times the liquid; add 40 grams of Huangguan humic acid water-soluble fertilizer diluted to 500 times; stir until the药剂 is completely dissolved to form the final comprehensive virus control药剂; At the virus infection risk index Spray the comprehensive virus control药剂, with a spraying frequency of once every 3 days for 7 consecutive days; use a high-pressure spraying device to evenly spray the comprehensive virus control药剂 on the front and back sides of the tobacco plant leaves and the root area, with a coverage area not less than 80% of the plant surface area; choose to spray in the early morning or evening to avoid high-temperature periods, such as from 12:00 to 15:00 at noon, to reduce the evaporation loss of the药剂; It should be noted that potassium dihydrogen phosphate is used to supplement phosphorus and potassium fertilizers and enhance the resistance of tobacco plants, where the resistance includes disease resistance, lodging resistance, drought resistance, and cold resistance; potassium sulfate is used to supplement potassium fertilizers to enhance the disease resistance of tobacco plants, including anthracnose, climatic leaf spot, virus disease, etc. caused by leaf spot diseases; imidacloprid is used to achieve insecticidal effects and cut off the virus source; 42% trichloroisocyanuric acid wettable powder is used to achieve fungicidal, bactericidal, and viricidal effects, where fungi include anthracnose, two black diseases, powdery mildew, brown spot, etc., bacteria include bacterial wilt, wildfire, black spot, angular leaf spot, bacterial leaf spot, etc., and viruses include mosaic disease, horse Y virus disease, tomato spotted wilt disease, etc.; and you can choose Yanlaoda to replace trichloroisocyanuric acid, with a dosage of 30 grams, about 600 times the liquid; if there is no trichloroisocyanuric acid and Yanlaoda, you can choose agents such as ningnanmycin, aminooligosaccharide, and oligosaccharide chain urine protein to replace; beer is used to supplement amino acids, medium and trace elements, increase the nutrition of tobacco plants, and enhance the resistance of tobacco plants; Huangguan humic acid water-soluble fertilizer is used to supplement large, medium, and trace elements, increase the nutrition of tobacco plants, and enhance the resistance of tobacco plants, that is, to passivate viruses.

[0025] S4. Collect the leaf status of tobacco plants: Collect the apparent state images of tobacco leaves through a hyperspectral imager, and extract the leaf color gradient value, texture complexity value, and chlorophyll content value as key characteristic parameters.

[0026] It should be noted that the "药剂" in the text is not clear and may need to be further specified according to the actual situation.It should be noted that by analyzing the changes in the leaves of tobacco plants within the tobacco growing area, the direction of infection can be determined, which can effectively identify the direction of infection in tobacco plants and facilitate early prevention and control of tobacco viruses in other tobacco growing areas.

[0027] In this embodiment, the preferred specific steps for acquiring images of the apparent state of tobacco leaves are as follows: A drone equipped with a hyperspectral imager was used to collect images of the leaves of tobacco plants in the tobacco planting area. The hyperspectral imager collected images in the wavelength range of 500-1000nm to obtain appearance images with a resolution of no less than 1024×768 pixels. The apparent state image is preprocessed, including denoising, correction and segmentation, to extract individual image regions of a single leaf; Leaf color gradient values ​​are calculated through color gradient analysis, such as HSV color space conversion. The leaf color gradient values ​​have a non-linear relationship with the degree of virus infection. Texture complexity values ​​are calculated through texture complexity analysis, such as the Gray-Level Co-occurrence Matrix (GLCM). The texture complexity values ​​are related to the local spread trend of the virus transmission path. Chlorophyll content values ​​are obtained through chlorophyll content detection, such as chlorophyll fluorescence spectrometers. Chlorophyll content values ​​are negatively correlated with photosynthetic efficiency after viral infection. It should be noted that by using a hyperspectral imager carried by a drone to acquire images of tobacco leaves and obtain their appearance, and by preprocessing these images to improve their clarity, it is easier to calculate leaf color gradient values, texture complexity values, and chlorophyll content values. This can effectively predict the spread of viral infection in tobacco leaves, that is, by predicting the direction of lesions in tobacco leaves within the tobacco growing area.

[0028] S5. Multidimensional data combination to determine the direction of infection transmission: Combine the concentration of metabolites secreted by tobacco roots at multiple points and the concentration of volatile organic compounds released by tobacco leaves, as well as the calculated leaf color gradient value, texture complexity value and chlorophyll content value to calculate the direction of virus infection transmission. It should be noted that multi-point analysis facilitates the acquisition of the concentrations of metabolites secreted by tobacco roots in different directions and the concentrations of volatile organic compounds released by tobacco leaves in the tobacco planting area. The concentrations of metabolites secreted by tobacco roots in different directions and the concentrations of volatile organic compounds released by tobacco leaves make it easier to determine the direction of tobacco virus infection. Furthermore, combined with changes in tobacco leaves, it is possible to accurately analyze the infection pathway of tobacco virus.

[0029] In this embodiment, the preferred calculation of the direction of virus infection transmission is as follows: Numerical correlation formula for determining the direction of virus transmission: ; in, This represents the numerical trend of changes in the direction of virus transmission. ∈[0.1,0.5] represents the weighting coefficient of the azimuth outlier. ∈[0.1,1.5] represents the regression coefficients of the principal components. This represents the location values ​​of the concentrations of metabolites secreted by tobacco roots and the concentrations of volatile organic compounds released by tobacco leaves. This is represented by the orientation values ​​of leaf color gradient, texture complexity, and chlorophyll content. This is represented as a numerical value for the leaf color gradient. Represented as a texture complexity value. Expressed as a numerical value for chlorophyll content; like The value is significantly higher in one direction than in other directions, such as the east. If the direction of virus transmission is determined to be eastward, the determination is based on the difference in the trend of numerical change. It should be noted that by combining multiple parameters, the direction of tobacco virus transmission can be accurately predicted, and by introducing the direction, the direction of tobacco virus transmission can be effectively determined.

[0030] Experiment preparation and implementation process This embodiment addresses the monitoring and prevention needs of virus transmission risk in tobacco plantations by designing a comprehensive monitoring method based on multi-dimensional data fusion. First, the tobacco plantation is divided into multiple 5m×5m rectangular areas, with raised beds (10cm-30cm wide) separating each area. The 10cm wide beds serve as partitions to block irrigation water flow, while the 30cm wide beds provide pedestrian access for easier subsequent operations. The raised beds are 5cm-8cm higher than the planting area, forming a terraced structure to reduce the risk of virus transmission via irrigation water.

[0031] Near-infrared spectroscopy (NIRS) sensors were deployed in four directions (east, south, west, and north) within each terrace area, 1 meter from the edge of the terrace. Scanning was performed in the 1000-2500 nm wavelength range to acquire spectral reflectance data of root metabolites, thus obtaining the concentrations of organic acids and amino acids. Simultaneously, a gas chromatography-mass spectrometry (GC-MS) detection device was deployed on the leaf surface to collect VOCs gas samples via adsorption tubes, and mass spectrometry analysis was performed in the 100-200 nm wavelength range to obtain the concentration data of ethane and ethylene.

[0032] The collected spectral reflectance and VOCs concentration data underwent preprocessing, including baseline correction, noise filtering, and normalization, to eliminate environmental interference. Subsequently, principal component analysis (PCA) was used to extract characteristic parameters of root metabolites: organic acid concentration (positively correlated with reflectance changes in the 1200-1600 nm range) and amino acid concentration (negatively correlated with reflectance changes in the 1800-2200 nm range). Simultaneously, feature extraction was performed on the VOCs concentration data. Ethane concentration was positively correlated with the degree of leaf cell membrane damage, while ethylene concentration was negatively correlated with the virus transmission rate. Combining the analysis of organic acid and amino acid concentrations with those of ethane and ethylene concentrations, the probability of tobacco virus infection was calculated, resulting in a virus infection risk index. When the risk of viral infection is significantly increased, prevention and control measures need to be initiated.

[0033] The pesticide formulation is as follows: 20 kg of water, 40 g of potassium dihydrogen phosphate (500x dilution), 200 g of potassium sulfate (100x dilution), 40 g of imidacloprid (500x dilution), 20 g of 42% trichloroisocyanuric acid wettable powder (1000x dilution), 400 g of beer (50x dilution), and 40 g of Huangguan humic acid water-soluble fertilizer (500x dilution). The pesticide should be evenly sprayed onto both sides of the leaves and the root zone using a high-pressure sprayer, covering at least 80% of the plant surface area. Spraying should be done in the early morning or evening, avoiding high-temperature periods (such as 12:00 PM to 3:00 PM). The concentrations of organic acids, amino acids, ethane, and ethylene were correlated with leaf color gradient, texture complexity, and chlorophyll concentration. An orientation value was also introduced to calculate the numerical trend of virus transmission direction.

[0034] When using pesticides, they can be applied during the root elongation stage, the vigorous growth stage, and the maturity stage. The application methods for different stages are as follows: Application of pesticides during the root extension stage (early stage of tobacco growth, root development stage): Frequency of use: Spray once every 5 days for 2-3 weeks; Spraying area: Cover the root area and young leaves, ensuring the pesticide penetrates to the roots; Treatable virus types: Tobacco mosaic virus indirectly blocks transmission by killing aphids and other vectors with imidacloprid; Potato virus Y directly inhibits viral activity with trichloroisocyanuric acid wettable powder (or Yanlaoda); Tomato wilt virus enhances root resistance and reduces the risk of virus transmission through soil by using potassium sulfate and humic acid water-soluble fertilizer; Tobacco common mosaic virus is improved by supplementing amino acids and trace elements with beer, enhancing plant metabolism and antiviral ability; Tobacco cucumber mosaic virus is improved by supplementing nutrients with potassium dihydrogen phosphate and potassium sulfate, improving leaf cell membrane stability and reducing viral invasion. Technical effects: Spraying pesticides during the root extension period can enhance root metabolic activity in advance and reduce the risk of virus transmission through the roots; the synergistic effect of insecticides (imidacloprid) and fungicides (trichloroisocyanuric acid) can block the transmission route of the virus; the combined use of nutrients (potassium dihydrogen phosphate, potassium sulfate) and biomutants (beer, Huangguan humic acid water-soluble fertilizer) can enhance the plant's antiviral ability and reduce losses after virus infection; Application of pesticides during the vigorous growth period (the period of vigorous tobacco growth and leaf expansion): Frequency of use: Spray once every 3 days for 4-6 weeks; Spraying area: Cover both sides of the leaves and the root system area to ensure even distribution of the pesticide; Treatable virus types: Tobacco mosaic virus is detected by using a hyperspectral imager to detect abnormal values ​​of leaf texture complexity, combined with increased ethane concentration and decreased ethylene concentration to determine the direction of transmission and apply targeted pesticides; Cucumber mosaic virus is detected by cross-validation of abnormal values ​​of organic acid concentration and amino acid concentration, combined with decreased chlorophyll concentration to determine infection risk and initiate control measures; Tobacco mosaic virus is treated by using imidacloprid to kill aphids, combined with trichloroisocyanuric acid wettable powder (or Yanlaoda) to directly inhibit viral activity; Tobacco common mosaic virus is treated by supplementing amino acids and trace elements with beer to enhance plant metabolism and reduce viral invasion.

[0035] Technical effects: Long-term spraying of the agent can effectively inhibit the spread of the virus through the leaves and reduce the spread of the virus; the combined use of nutrients and biological mutagens enhances the plant's resistance to stress and reduces the damage of the virus to the leaves.

[0036] Application of pesticides during the maturity stage (late growth stage of tobacco, leaf senescence stage): Frequency of use: Spray once every 5 days, for 1-2 weeks; Spraying area: Focus on covering aging leaf areas and root areas to reduce virus residue; Treatable virus types: Tobacco mosaic virus can be treated by using imidacloprid to kill aphids, combined with trichloroisocyanuric acid wettable powder (or Yanlaoda) to directly inhibit viral activity; Potato virus Y can be treated by supplementing nutrients with Huangguan humic acid water-soluble fertilizer to enhance the plant's antiviral ability; Tobacco-cucumber mosaic virus can be treated by detecting leaf color gradient values ​​and texture complexity values ​​with a hyperspectral imager, combined with increased ethane concentration and decreased ethylene concentration to determine the direction of transmission and spray targeted agents; Tomato spotted wilt virus can be treated by enhancing root resistance with potassium sulfate and Huangguan humic acid water-soluble fertilizer to reduce the risk of virus transmission through soil; Tobacco common mosaic virus can be treated by supplementing amino acids and trace elements with beer to enhance plant metabolism and reduce losses after virus infection.

[0037] Technical effects: Mature-stage spraying can reduce the impact of virus residue on tobacco quality and increase final yield; risk is quantified through dynamic equations and precise intervention is carried out by combining the numerical value of the direction of transmission; the combined use of nutrients and biomutants enhances the plant's antiviral ability and prolongs the disease resistance period.

[0038] Correlation analysis between multidimensional data and virus infection risk index and virus transmission direction

[0039] Tabular data analysis East side: Organic acid concentration (1.8 μg / g) is higher than the threshold (0.1-2.0 μg / g), amino acid concentration (0.03 mg / g) is lower than the threshold (0.01-3.0 mg / g), ethane concentration (300 ppb) and ethylene concentration (200 ppb) are both higher than the normal range (ethane: 10-1000 ppb, ethylene: 50-5000 ppb), color gradient value (85) and texture complexity value (0.7) are significantly higher than other areas, and chlorophyll concentration (0.8 mg / g) is slightly lower than the normal range (0.1-10 mg / g).

[0040] The virus infection risk index R (65) is the highest, indicating that the infection level in this area is significant; the virus transmission direction value (2.5) is the highest among all areas, indicating that the east side is the main direction of virus transmission, accounting for 55% of the total transmission risk.

[0041] South side: Organic acid concentration (0.9 μg / g) and amino acid concentration (0.05 mg / g) are both within the normal range, ethane concentration (150 ppb) and ethylene concentration (400 ppb) are at a moderate level, color gradient value (60) and texture complexity value (0.5) are lower than those in region A, and chlorophyll concentration (1.2 mg / g) is within the normal range.

[0042] The virus infection risk index R (45) is moderate, and the virus transmission direction value (1.2) is moderate. It is determined that the south side is the auxiliary transmission direction, accounting for 25% of the total transmission risk.

[0043] West side: Organic acid concentration (1.2 μg / g) and amino acid concentration (0.04 mg / g) are within the normal range, ethane concentration (200 ppb) and ethylene concentration (350 ppb) are at a moderate level, color gradient value (70) and texture complexity value (0.6) are slightly higher than in region B, and chlorophyll concentration (1.0 mg / g) is within the normal range.

[0044] The virus infection risk index R (50) was the second highest; the virus transmission direction value (1.8) was the second highest, indicating that the west side was the secondary transmission direction, accounting for 30% of the total transmission risk.

[0045] North side: Organic acid concentration (0.6 μg / g) and amino acid concentration (0.06 mg / g) are both within the normal range, ethane concentration (100 ppb) and ethylene concentration (500 ppb) are at a low level, color gradient value (45) and texture complexity value (0.4) are significantly lower than other areas, and chlorophyll concentration (0.9 mg / g) is within the normal range.

[0046] The virus infection risk index R (30) was the lowest; the virus transmission direction value (0.8) was the lowest, indicating that there was no significant transmission risk on the north side, accounting for 10% of the total transmission risk.

[0047] After spraying the pesticide, the virus infection risk index R on the east side decreased from 65 to 45 (a decrease of 30.77%), and the virus transmission direction value decreased from 2.5 to 1.5 (a decrease of 40%); after spraying the pesticide, the virus infection risk index R on the east side decreased from 45 to 12 (a decrease of 25%), and the virus transmission direction value decreased from 1.2 to 0.5 (a decrease of 38%). The application of the two agents demonstrated that the formulation effectively inhibited the spread of the virus, further verifying the effectiveness of the agents in prevention and control.

[0048] This embodiment achieves accurate determination of the direction of tobacco virus transmission through multi-dimensional data fusion (root metabolites, leaf VOCs, color gradient, texture complexity, chlorophyll concentration) and terraced field structure design. Data shows that the coordinated control of dynamic equations and pesticide formulations significantly improves control efficiency, reduces pesticide usage and environmental pollution, demonstrating significant innovation and practicality.

[0049] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0050] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in hardware or as software functional units. The above are merely embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

[0051] The specific embodiments of the invention have been described in detail above, but they are only examples, and this application is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions to the invention are also within the scope of this application. Therefore, all equivalent changes, modifications, and improvements made without departing from the spirit and principles of this application should be covered within the scope of this application.

Claims

1. A monitoring and prevention method for integrated tobacco virus control, characterized in that, Includes the following steps: S1. Collect tobacco virus monitoring data: Collect the concentration of tobacco root secretions in the soil of tobacco in the region, and collect the concentration of volatile organic compounds released by tobacco leaves in the region. Extract characteristic parameters of root metabolites and extract characteristic parameters of VOCs concentration data to obtain organic acid concentration, amino acid concentration, ethane concentration and ethylene concentration. S2. Analyze the virus infection risk index through monitoring data: Calculate the abnormal values ​​of organic acid, amino acid, ethane and ethylene based on the difference between the threshold and the concentrations of organic acid, amino acid, ethane and ethylene, and obtain the cross values ​​through cross analysis. Then, calculate the virus infection risk index based on the cross values. S3. Prepare comprehensive virus control agents: Prepare comprehensive virus control agents on-site and spray them on tobacco plants in virus-infected areas to achieve timely control measures. S4. Collect images of tobacco plant leaves: Collect images of the appearance of tobacco leaves using a hyperspectral imager and extract leaf color gradient values, texture complexity values, and chlorophyll content values ​​as key feature parameters. S5. Determine the direction of infection transmission by combining multidimensional data: Combine the concentration of metabolites secreted by tobacco roots at multiple points and the concentration of volatile organic compounds released by tobacco leaves, as well as the calculated leaf color gradient value, texture complexity value and chlorophyll content value to calculate the direction of virus infection transmission.

2. The monitoring and prevention method for integrated tobacco virus control according to claim 1, characterized in that, The tobacco area within region S1 is divided as follows: The tobacco plantation was divided into rectangular areas, with each area limited to a 5m x 5m square. Furthermore, a ridge with a width of 10cm-30cm is constructed between each area, wherein the ridge for dividing the area is set to be 10cm wide, and the ridge for pedestrians is set to be 30cm wide; The height of the ridges should be 5cm-8cm higher than the tobacco planting area to form terraced planting space.

3. The monitoring and prevention method for integrated tobacco virus control according to claim 1, characterized in that, The steps for collecting the concentrations of metabolites and volatile organic compounds in S1 are as follows: NIRS sensors are deployed in the root zone of the terraced planting space. The NIRS sensors acquire spectral reflectance data by scanning the root surface with multiple wavelengths. NIRS sensors are installed in the four directions of the terraced planting space, and an NIRS sensor is installed in the center of the terraced planting space. Furthermore, the specific locations of the NIRS sensors in the four directions are 1m away from the edge of the terraced field; The concentration of metabolites secreted by tobacco roots was monitored by near-infrared spectroscopy. The metabolites included organic acids and amino acids. A GC-MS detection device is deployed on the surface of tobacco leaves. The GC-MS detection device collects VOCs gas samples released by the leaves through an adsorption tube and performs mass spectrometry analysis in the wavelength range of 100-200nm to obtain VOCs concentration data released by the leaves. The spectral reflectance data and VOCs concentration data are preprocessed, and then analyzed and processed.

4. The monitoring and prevention method for integrated tobacco virus control according to claim 1, characterized in that, The risk value of tobacco virus infection in S2 is processed through multidimensional data analysis, and the specific processing is as follows: First, the concentrations of extracted organic acids, amino acids, ethane, and ethylene were subjected to difference calculations to obtain abnormal values ​​for organic acids, amino acids, ethane, and ethylene. The cross-validation indices of organic acid outliers and amino acid outliers, and the cross-validation indices of ethane outliers and ethylene outliers were correlated using a multiple nonlinear regression model. The correlation formula is as follows: ; in, It is represented as the cross-validation index between organic acid outliers and amino acid outliers. This is represented by the cross-validation index of ethane outliers and ethylene outliers. This is represented as a viral infection risk index. The weighting coefficients represent the cross-validation index of organic acid outliers and amino acid outliers. This represents the coupling coefficient, expressed as the cross-validation exponent between ethane and ethylene outliers. For a specific wavelength.

5. The monitoring and prevention method for integrated tobacco virus control according to claim 4, characterized in that, The cross-validation index of organic acid outliers and amino acid outliers The calculation formula is: ; in, It is represented as the cross-validation index between organic acid outliers and amino acid outliers. and These represent the weights of organic acid outliers and amino acid outliers, respectively. The weighting coefficients were determined through laboratory calibration and field trials. This is represented as an outlier for organic acids. This is represented as an amino acid anomaly. like Then, the potential signal of the tobacco plant being attacked by the virus is determined, and the determination is based on the numerical threshold obtained by superimposing the outliers of the two.

6. The monitoring and prevention method for integrated tobacco virus control according to claim 4, characterized in that, The cross-validation index of ethane outliers and ethylene outliers The calculation formula is: ; in, This is represented by the cross-validation index of ethane outliers and ethylene outliers. and These represent the weights of ethane outliers and ethylene outliers, respectively. The weighting coefficients were determined through laboratory calibration and field trials. This is represented as an ethane outlier. This is indicated as an abnormal value for ethylene; like If the signal indicates potential viral infection in tobacco plants, further verification using dynamic equations is required.

7. The monitoring and prevention method for integrated tobacco virus control according to claim 6, characterized in that, The formulation of the comprehensive virus prevention and control agent in S3 is as follows: Mix water, potassium dihydrogen phosphate, potassium sulfate, imidacloprid, trichloroisocyanuric acid wettable powder, beer, and Huangguan humic acid water-soluble fertilizer in a specific ratio to form an integrated pest management agent. The specific proportions are as follows: Use 20 kg of water as a diluent to prepare the pesticide; dilute 40 g of potassium dihydrogen phosphate to a 500-fold dilution; dilute 200 g of potassium sulfate to a 100-fold dilution; dilute 40 g of imidacloprid to a 500-fold dilution; dilute 20 g of 42% trichloroisocyanuric acid wettable powder to a 1000-fold dilution; dilute 400 g of beer to a 50-fold dilution; and dilute 40 g of Huangguan humic acid water-soluble fertilizer to a 500-fold dilution. Add the agent to water according to the dilution ratio, stir well, and a comprehensive antiviral agent is formed.

8. The monitoring and prevention method for integrated tobacco virus control according to claim 7, characterized in that, The specific operational steps for preparing and using the comprehensive virus prevention and control agent are as follows: Pour 20 kg of clean water into the spray container; Add the following in sequence: 40 grams of potassium dihydrogen phosphate diluted to 500 times; 200 grams of potassium sulfate diluted to 100 times; 40 grams of imidacloprid diluted to 500 times; 20 grams of 42% trichloroisocyanuric acid wettable powder diluted to 1000 times; 400 grams of beer diluted to 50 times; and 40 grams of Huangguan humic acid water-soluble fertilizer diluted to 500 times. Stir until the agents are completely dissolved to form the final integrated virus control agent. In the viral infection risk index At that time, spray the virus control agent once every 3 days for 7 days; use high-pressure spraying equipment to evenly spray the virus control agent on the front and back of the tobacco plant leaves and root area, covering an area of ​​not less than 80% of the plant surface area.

9. The monitoring and prevention method for integrated tobacco virus control according to claim 1, characterized in that, The specific steps for acquiring the apparent state image of the tobacco leaves in S4 are as follows: A drone equipped with a hyperspectral imager was used to collect images of the leaves of tobacco plants in the tobacco planting area to obtain images of their appearance. The apparent state image is preprocessed, including denoising, correction and segmentation, to extract individual image regions of a single leaf; The leaf color gradient values ​​were calculated using color gradient analysis. The texture complexity value is calculated through texture complexity analysis; The chlorophyll content was obtained by chlorophyll content detection.

10. The monitoring and prevention method for integrated tobacco virus control according to claim 9, characterized in that, The specific calculation of the virus infection transmission direction in S5 is as follows: Numerical correlation formula for determining the direction of virus transmission: ; in, This represents the numerical trend of changes in the direction of virus transmission. ∈[0.1,0.5] represents the weighting coefficient of the azimuth outlier. ∈[0.1,1.5] represents the regression coefficients of the principal components. This represents the location values ​​of the concentrations of metabolites secreted by tobacco roots and the concentrations of volatile organic compounds released by tobacco leaves. This is represented by the orientation values ​​of leaf color gradient, texture complexity, and chlorophyll content. This is represented as a numerical value for the leaf color gradient. Represented as a texture complexity value. Expressed as a numerical value for chlorophyll content; like The value is significantly higher in one direction than in other directions, such as the east. If the direction of virus transmission is determined to be eastward, the determination is based on the difference in the trend of numerical changes.

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