A method and system for managing pesticide spraying based on GIS technology

Abstract

The application relates to the field of medicine spraying, in particular to a medicine spraying management method and system based on GIS technology. The method comprises the following steps: acquiring interplanting crop information and geographical position information, determining interplanting crop demand information for spraying medicine according to the interplanting crop information and the geographical position information; acquiring real-time weather information, predicting real-time action information of the medicine on the interplanting crops according to the real-time weather information, the geographical position information and the demand information; acquiring spraying equipment information, determining spraying information of the medicine according to the real-time action information, the real-time weather information and the spraying equipment information, and spraying the interplanting crops according to the spraying information. According to the interplanting crop information, the geographical position information, the spraying equipment information and the real-time weather information, the spraying information is determined, the spraying parameters of the spraying equipment are adjusted through the spraying information, the environmental friendliness and the economy of medicine use are optimized while the precise medicine application is ensured.

Description

Technical Field

[0001] The present application relates to the field of drug spraying, and in particular to a drug spraying management method and system based on GIS technology. Background Art

[0002] With the continuous development of agricultural modernization, intercropping can maximize the utilization of land resources while growing crops. In the case of intercropping, using unmanned spraying equipment to spray intercropped crops with pesticides can prevent and control pests and diseases while reducing manual labor intensity, thereby improving the efficiency and effectiveness of pesticide spraying on intercropped crops and ensuring their normal growth.

[0003] However, due to the complex distribution of intercrops and the environment in which they are located, the drug spraying operation of unmanned spraying equipment is inconsistent with the actual demand of intercropped crops for drugs, thereby reducing the drug spraying efficiency of unmanned spraying equipment and affecting the normal growth of intercropped crops. Summary of the Invention

[0004] This application provides a medicine spraying management method and system based on GIS technology to solve the above problems.

[0005] In a first aspect, the present application provides a method for managing drug spraying based on GIS technology, the method comprising:

[0006] Acquire intercropping crop information and geographic location information, and determine the intercropping crop's demand information for spraying drugs based on the intercropping crop information and the geographic location information; acquire real-time meteorological information, and predict the real-time effect information of drugs on the intercropping crops based on the real-time meteorological information, the geographic location information, and the demand information; acquire spraying equipment information, and determine the drug spraying information based on the real-time effect information, the real-time meteorological information, and the spraying equipment information, and spray the intercropping crops based on the spraying information.

[0007] This solution captures intercropping and geographic location information, accurately identifying crop needs and providing a scientific basis for subsequent pesticide spraying. By combining real-time weather, geographic, and demand information, it predicts the real-time effects of pesticides on crops, ensuring optimal spraying results. By utilizing real-time weather information, the impact of adverse weather conditions on spraying effectiveness is effectively mitigated. Based on this information, the spraying process is optimized to ensure accurate pesticide delivery, avoiding resource waste and environmental pollution. This not only improves the accuracy and efficiency of pesticide spraying, but also reduces negative environmental impacts and enhances the intelligence of agricultural management.

[0008] Optionally, the geographic location information includes the location of the crop, and the determining the demand information of the intercropped crop for spraying drugs based on the intercropped crop information and the geographic location information includes: obtaining real-time monitoring images of the intercropped crop, and judging whether the crop suffering from pests and diseases is the first crop based on the real-time monitoring images; if the crop suffering from pests and diseases is the first crop, determining the first pest and disease severity, first pest and disease type, and first growth trend of the first crop based on the real-time monitoring images; determining the spraying drug type for the first crop based on the first pest and disease type; obtaining spraying drug information corresponding to the spraying drug type, and determining drug solubility based on the spraying drug information; judging whether the spraying drug type has an impact on the first pest and disease type in the soil, and if so, determining the soil density and soil particle diameter based on the location of the crop; determining the degree of soil adsorption of the spraying drug type based on the soil density, the drug solubility, and the soil particle diameter; determining the first spraying demand of the first crop for spraying drugs based on the first pest and disease severity, the first growth trend, and the adsorption degree; and incorporating the first spraying demand into the demand information.

[0009] Optionally, the intercropping crop information includes a first crop type, and the determining of a first spraying requirement for the first crop for spraying drugs based on the first disease and insect pest degree, the first growth trend and the adsorption degree includes: determining a first leaf contour of the first crop, a first leaf area of ​​the first crop, a second leaf area of ​​the second crop, a second leaf contour of the second crop, a second leaf position of the second crop, and a first leaf position of the first crop based on the real-time monitoring image; determining whether the first leaf contour and the second leaf contour overlap, and if so, determining an overlap based on the first leaf contour, the first leaf position, the second leaf position and the second leaf contour. overlapping area; determining the bending degree of the first leaf of the first crop and the bending degree of the second leaf of the second crop according to the first leaf position, the real-time monitoring image and the second leaf position; determining the leaf spraying area of ​​the first crop according to the bending degree of the first leaf, the bending degree of the second leaf and the overlapping area; determining the first drug requirement of the first crop for spraying drugs according to the first disease and insect pest degree, the leaf spraying area and the first growth status; determining the first drug resistance of the first crop according to the first crop type and the spraying drug type; determining the first spraying requirement according to the adsorption degree, the first drug requirement and the first drug resistance.

[0010] Optionally, the first spraying requirement is determined based on the adsorption degree, the first drug requirement, and the first drug resistance, and is calculated according to the following formula:

[0011] ;

[0012] in, represents the first spraying requirement, represents the first drug demand, represents the degree of adsorption, Indicates the first drug resistance, Indicates the spraying area of ​​the blade.

[0013] Optionally, the intercropping crop information includes the second crop type and the first crop height, and the determining of the intercropping crop demand information for spraying drugs based on the intercropping crop information and the geographic location information includes: determining the altitude pest and disease severity and altitude leaf area of ​​the first crop at the first crop height based on the real-time monitoring image; determining the altitude drug demand at the first crop height based on the altitude pest and disease severity and the altitude leaf area; determining the drug acceptance degree of the first crop at the first crop height based on the first crop type and the altitude drug demand; determining the effect degree of spraying drugs on the first crop based on the first crop type, the adsorption degree and the drug acceptance degree; judging whether the second crop is affected by the spraying drug type at the first crop height based on the second crop type and the real-time monitoring image; if affected, judging whether the spraying drug type affects the second crop in the soil, and if affected, determining the effect degree of the spraying drug on the second crop based on the second crop type, the spraying drug type and the adsorption degree; and incorporating the drug effect degree and the effect degree into the demand information.

[0014] Optionally, the drug spraying information includes standard stability, the real-time meteorological information includes real-time light intensity, real-time atmospheric pressure and real-time ambient temperature, and the geographical location information includes altitude. The predicting of real-time action information of the drug on the intercropped crops based on the real-time meteorological information, the geographical location information and the demand information includes: determining the volatilization sensitivity of the sprayed drug based on the standard stability, the real-time ambient temperature and the real-time atmospheric pressure; and determining the real-time action time of the sprayed drug on the first crop based on the real-time light intensity, the volatilization sensitivity, the standard stability, the real-time ambient temperature, the altitude and the first spraying demand, calculated according to the following formula:

[0015] ;

[0016] in, represents the real-time action time, represents the first spraying requirement, represents the standard stability, Indicates the preset light intensity coefficient, Indicates the preset temperature influence coefficient, represents the real-time ambient temperature, Indicates the volatility sensitivity, represents the standard sea level pressure, represents the standard temperature gradient, represents the altitude, represents the standard sea level temperature, represents the standard air molecular mass, represents the standard gas constant; and the real-time action time is incorporated into the real-time action information.

[0017] Optionally, the real-time meteorological information includes real-time wind speed and real-time ambient humidity. The real-time effect information of the drug on the intercropped crops is predicted based on the real-time meteorological information, the geographical location information and the demand information, including: determining the stomatal opening degree of the leaves corresponding to the first crop based on the first crop type, the real-time ambient temperature and the real-time atmospheric pressure; determining the hair density on the leaf surface of the first crop under the first growth status based on the real-time monitoring image; determining the drug stability of the sprayed drug based on the real-time ambient temperature, the real-time atmospheric pressure and the real-time wind speed; determining the real-time effect intensity of the sprayed drug on the first crop based on the hair density, the stomatal opening degree, the real-time wind speed, the real-time ambient humidity, the altitude, the real-time atmospheric pressure and the drug stability, and calculating according to the following formula:

[0018] ;

[0019] in, represents the real-time action intensity, Indicates the degree of stomatal opening, represents the real-time ambient humidity, Indicates the density of the hair, Indicates the stability of the drug, represents the real-time wind speed, represents the altitude, represents the real-time atmospheric pressure, Indicates the preset type adjustment coefficient, Represents a preset type influence coefficient; and incorporates the real-time action intensity into the real-time action information.

[0020] Optionally, the spraying equipment information includes a spraying width, and determining the spraying information of the drug based on the real-time action information, the real-time meteorological information, and the spraying equipment information includes: determining the terrain undulation and the interval distance between the first crop and the second crop based on the real-time monitoring image; and determining the moving speed of the spraying equipment based on the spraying width, the terrain undulation, the real-time wind speed, the real-time action time, and the interval distance, and calculating the speed according to the following formula:

[0021] ;

[0022] in, represents the moving speed, represents the spraying width, Indicates the degree of relief of the terrain. represents the real-time wind speed, represents the real-time action time, Indicates the interval distance; and incorporates the moving speed into the spraying information.

[0023] Optionally, the spraying equipment information includes a drug spraying particle size, a reference spraying particle size, a reference moving speed, a reference operating height, and an operating height of the spraying equipment. After determining the drug spraying information based on the real-time action information, the real-time meteorological information, and the spraying equipment information, the method further includes: determining a drug coverage rate after drug spraying based on the real-time monitoring image; and determining a comprehensive spraying degree of the sprayed drug based on the drug coverage rate, the drug spraying particle size, the moving speed, the operating height, the reference spraying particle size, the reference moving speed, and the reference operating height, and calculating the degree of comprehensive spraying of the sprayed drug according to the following formula:

[0024] ;

[0025] in, Indicates the comprehensive spraying degree, represents the drug coverage, represents the spraying particle size, represents the reference spraying particle size, represents the moving speed, represents the reference moving speed, Indicates the working height, Indicates the reference operating altitude.

[0026] In a second aspect, the present application provides a drug spraying management system based on GIS technology, the system comprising:

[0027] a demand information determination module, configured to obtain intercropping crop information and geographic location information, and determine the intercropping crop's demand information for spraying drugs based on the intercropping crop information and the geographic location information;

[0028] an action information prediction module, configured to obtain real-time meteorological information and predict the real-time action information of the drug on the intercropping crop based on the real-time meteorological information, the geographical location information, and the demand information;

[0029] The spraying information determination module is used to obtain spraying equipment information, determine the spraying information of the medicine according to the real-time action information, the real-time meteorological information and the spraying equipment information, and spray the intercrops according to the spraying information. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0031] Figure 1 A schematic diagram of an application scenario provided in one embodiment of the present application;

[0032] Figure 2 A flowchart of a drug spraying management method based on GIS technology provided in one embodiment of the present application;

[0033] Figure 3 This is a structural diagram of a medicine spraying management system based on GIS technology provided in one embodiment of the present application. DETAILED DESCRIPTION

[0034] To make the purpose, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0035] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates an "or" relationship between the related objects.

[0036] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0037] Due to the complex distribution of intercrops and the environment in which they are located, the drug spraying operation of unmanned spraying equipment is inconsistent with the actual demand of intercropped crops for drugs, thereby reducing the drug spraying efficiency of unmanned spraying equipment and affecting the normal growth of intercropped crops.

[0038] Based on this, the present application provides a drug spraying management method and system based on GIS technology, which obtains intercropping crop information and geographic location information, accurately identifies crop demand information, and thus provides a scientific basis for subsequent drug spraying. Combined with real-time meteorological information, geographic location information and demand information, the real-time effect information of drugs on crops is predicted to ensure that the sprayed drugs can achieve the best effect. Through the application of real-time meteorological information, the impact of adverse weather conditions on the spraying effect is effectively avoided. According to the spraying information, the spraying process is optimized to ensure the accurate delivery of drugs and avoid waste of resources or environmental pollution. It not only improves the accuracy and efficiency of drug spraying, but also reduces the negative impact on the environment and improves the intelligent level of agricultural management.

[0039] Figure 1 This is a schematic diagram of an application scenario provided by this application. When spraying intercrops with pesticides, the method provided by this application is applied to obtain and analyze intercrop information, geographic location information, real-time weather information and spraying equipment information, so as to determine the pesticide spraying plan.

[0040] Specifically, the method provided in the present application is applied to any server, and the server interacts with the intercropping management system, the drug spraying system and the environmental monitoring equipment. The intercropping management system can be a system for managing the planting and growth of intercropping crops. The environmental monitoring equipment can be a device for monitoring the growth environment of intercropping crops, and the environmental monitoring equipment can be a video monitoring device and a meteorological monitoring device. The server determines the spraying information by acquiring and analyzing the intercropping information of the intercropping management system, the geographical location information of the intercropping management system, the real-time meteorological information of the environmental monitoring equipment, and the spraying equipment information of the drug spraying system, and sends the spraying information to the drug spraying system. Based on the intercropping information, the geographical location information, the spraying equipment information and the real-time meteorological information, the spraying information is determined, and the spraying parameters of the spraying equipment are adjusted according to the spraying information, so as to optimize the environmental friendliness and economy of the drug use while ensuring accurate application of the pesticide. The specific implementation method can refer to the following embodiments.

[0041] Figure 2 This is a flowchart of a drug spraying management method based on GIS technology provided in one embodiment of this application. The method of this embodiment can be applied to the server in the above scenario. Figure 2As shown, the method includes:

[0042] S201. Obtain intercropping crop information and geographic location information, and determine the intercropping crop's demand for spraying pesticides based on the intercropping crop information and geographic location information.

[0043] Intercrop information may include basic information about the intercrops. The intercrop information may include the intercrop's growth cycle. Geographical location information may include the geographic location of the intercrop's planting location. Geographical location information may include altitude. Demand information may include information related to the intercrop's requirements for spraying chemicals, such as the dosage and duration of the spraying, before spraying the intercrop. The demand information may include the required spraying duration.

[0044] Specifically, intercropping crop information and geographic location information are obtained from the intercropping crop management system. The crop growth cycle is extracted from the intercropping crop information. The altitude is extracted from the geographic location information. Mathematical analysis methods are used to analyze the crop growth cycle and altitude to determine the required spraying duration for the intercropping crop, which is then incorporated into the required spraying duration information.

[0045] S202: Acquire real-time weather information, and predict the real-time effect of the drug on the intercropping crops based on the real-time weather information, geographical location information, and demand information.

[0046] The real-time weather information may be information composed of weather data of the location of the intercropping crops before the intercropping crops are sprayed with pesticides. The real-time weather information may include real-time light intensity and real-time wind speed.

[0047] The real-time effect information may be information such as the time length and intensity of the effect of spraying the intercropping crops before the intercropping crops are sprayed with the drugs.

[0048] Specifically, meteorological data for the intercropping location is obtained from meteorological monitoring equipment and integrated to generate real-time meteorological information. Real-time light intensity and wind speed are extracted from this real-time meteorological information. The location coordinates of the intercropping crop are extracted from the geographic location information. Mathematical analysis methods are used to analyze the real-time wind speed, light intensity, and location coordinates to determine the real-time duration of the sprayed pesticide's effect on the intercropping crop, which is then incorporated into the real-time effect information.

[0049] S203: Acquire spraying equipment information, determine the spraying information of the drug according to the real-time action information, real-time weather information and spraying equipment information, and spray the intercrops according to the spraying information.

[0050] The spraying equipment information may be information on parameters corresponding to equipment for spraying pesticides on intercrops.

[0051] The spraying information may be equipment operating information determined when spraying intercrops, in order to match the spraying effect with the actual spraying demand of the crops for the drug, thereby adjusting the operating parameters of the spraying equipment.

[0052] Specifically, spraying equipment information is obtained from the spray management system. The spraying angle of the drug is extracted from the spraying equipment information. Mathematical analysis methods are used to analyze the real-time exposure time, real-time light intensity, and spraying angle to determine the spraying duration of the drug. The spraying duration is incorporated into the spraying information. The spraying equipment then sprays the intercrops based on the spraying information.

[0053] This solution captures intercropping and geographic location information, accurately identifying crop needs and providing a scientific basis for subsequent pesticide spraying. By combining real-time weather, geographic, and demand information, it predicts the real-time effects of pesticides on crops, ensuring optimal spraying results. By utilizing real-time weather information, the impact of adverse weather conditions on spraying effectiveness is effectively mitigated. Based on this information, the spraying process is optimized to ensure accurate pesticide delivery, avoiding resource waste and environmental pollution. This not only improves the accuracy and efficiency of pesticide spraying, but also reduces negative environmental impacts and enhances the intelligence of agricultural management.

[0054] In some embodiments, real-time monitoring images of intercropping crops are obtained, and based on the real-time monitoring images, it is determined whether the crop suffering from diseases and insect pests is the first crop; if the crop suffering from diseases and insect pests is the first crop, the first disease and insect pest degree, the first disease and insect pest type and the first growth trend of the first crop are determined based on the real-time monitoring images; based on the first disease and insect pest type, the type of spraying drug for the first crop is determined; spraying drug information corresponding to the spraying drug type is obtained, and based on the spraying drug information, the drug solubility is determined; it is determined whether the spraying drug type has an impact on the first disease and insect pest type in the soil, and if so, the soil density and soil particle diameter are determined based on the location of the crop; the degree of adsorption of the spraying drug type by the soil is determined based on the soil density, drug solubility and soil particle diameter; based on the first disease and insect pest degree, the first growth trend and the adsorption degree, the first spraying demand of the first crop for the spraying drug is determined; and the first spraying demand is included in the demand information.

[0055] The real-time monitoring image may be an image obtained by monitoring the intercropping crops using video surveillance equipment. The spraying drug information may be basic information about the spraying drug. The spraying drug information may include drug solubility. The first crop may be a crop at a relatively low height that requires spraying. The first pest and disease severity may be a numerical value corresponding to the severity of the pest and disease impact on the first crop. The first growth status may be a numerical value corresponding to the development trend and health status of the first crop during its growth process. The first pest and disease type may be the type of pest and disease impacting the first crop. The spraying drug type may be the type of spraying drug. The drug solubility may be a numerical value corresponding to the solubility of the spraying drug. The adsorption degree may be a numerical value corresponding to the adsorption capacity of the spraying drug by the soil in the intercropping location. The first spraying requirement may be the amount of spraying drug required to address the pest and disease situation of the first crop.

[0056] Specifically, due to the diverse nature of intercropping, when multiple crops are coexisting, the growth patterns, leaf shapes, and heights of different types of crops can vary. Furthermore, the soil surrounding the intercropped crops will absorb the sprayed chemicals, and the absorbed chemicals will affect the growth of the intercropped crops. These differences and influences can affect the accuracy and effectiveness of spraying.

[0057] Therefore, real-time monitoring images are acquired from video surveillance equipment and analyzed using image processing and feature extraction techniques to determine whether a first crop is experiencing pests and diseases. If so, the real-time monitoring images are analyzed using growth models and phenological monitoring techniques to determine the severity, type, and growth status of the first pest and disease. The type of spraying agent corresponding to the first pest and disease type and corresponding spraying agent information are obtained from a crop research website. The solubility of the spraying agent is extracted from the spraying agent information. Based on the spraying agent information, it is determined whether the spraying agent type has an impact on the first pest and disease type in the soil. If so, the crop location is extracted from the geographic location information to determine the soil density and soil particle diameter at the crop location. The real-time ambient temperature is extracted from the real-time meteorological information. Mathematical analysis methods are used to analyze the soil density, drug solubility, and soil particle diameter to determine the degree of soil adsorption of the spraying agent type. A mathematical analysis method is used to analyze the first disease and insect pest degree, the first growth trend and the adsorption degree, to determine the first spraying demand of the first crop for spraying drugs, and to include the first spraying demand in the demand information.

[0058] Through the scheme, after the real-time monitoring image of the interplanting crops is acquired, it is identified whether the first crop has a disease and insect pest, if yes, the degree, type and growth trend of the disease and insect pest are further analyzed, to provide a scientific basis for subsequent drug spraying. According to the type of the disease and insect pest, the type of the sprayed drug is determined, and the corresponding sprayed drug information is acquired, and the solubility of the drug is further analyzed. The influence of the type of the sprayed drug on the soil and the disease and insect pest is evaluated, and the soil density and particle diameter are analyzed according to the position of the crop, to determine the adsorption degree of the soil to the drug. Through the comprehensive analysis of the degree of the disease and insect pest, the growth trend and the adsorption degree of the soil, the first spraying requirement is accurately calculated, to ensure the accurate delivery of the drug, reduce waste and improve the treatment effect. The first spraying requirement is incorporated into the overall management system, the drug spraying strategy is optimized, and the efficiency and accuracy of agricultural production are improved.

[0059] In some embodiments, according to the real-time monitoring image, the first leaf profile of the first crop, the first leaf area of the first crop, the second leaf area of the second crop, the second leaf profile of the second crop, the second leaf position of the second crop, and the first leaf position of the first crop are determined. It is determined whether the first leaf profile overlaps with the second leaf profile, if the overlap occurs, the overlapping area is determined according to the first leaf profile, the first leaf position, the second leaf position and the second leaf profile. According to the first leaf position, the real-time monitoring image and the second leaf position, the first leaf bending degree of the first crop and the second leaf bending degree of the second crop are determined. According to the first leaf bending degree, the second leaf bending degree and the overlapping area, the leaf spraying area of the first crop is determined. According to the first disease and insect pest degree, the leaf spraying area and the first growth trend, the first drug requirement of the first crop for the sprayed drug is determined. According to the first crop type and the type of the sprayed drug, the first drug resistance of the first crop is determined. According to the adsorption degree, the first drug requirement and the first drug resistance, the first spraying requirement is determined.

[0060] The first leaf profile may be the profile corresponding to a leaf of a first crop; the first leaf area may be the area corresponding to a leaf of the first crop; the second leaf profile may be the profile corresponding to a leaf of a second crop; and the second leaf area may be the area corresponding to a leaf of the second crop. The first leaf position may be the position of a leaf of the first crop within the space where the crop is located. The second leaf position may be the position of a leaf of the second crop within the space where the crop is located. The overlap area may be the area corresponding to the overlapping or overlapping area between the leaves of the first crop and the leaves of the second crop. The first leaf curvature may be a value corresponding to the degree of curvature of the leaves of the first crop. The second leaf curvature may be a value corresponding to the degree of curvature of the leaves of the second crop. The spraying area may be the leaf area determined to be sprayed when spraying the leaves of the first crop with a pesticide. The first pesticide requirement may be the amount of pesticide required for the first crop. The first pesticide tolerance may be a value corresponding to the tolerance of the first crop to the pesticide.

[0061] Specifically, the first crop type is extracted from intercropping crop information. Convolutional neural network technology is used to analyze real-time monitoring images to obtain the first leaf contour, first leaf area, second leaf area, second leaf contour, second leaf position, and first leaf position. Morphological operations are used to analyze the first and second leaf contours to determine whether they overlap. If so, set analysis and overlap calculation techniques are used to analyze the first leaf contour, first leaf position, second leaf position, and second leaf contour to determine the overlapping area. Based on the first and second leaf positions, a feature recognition algorithm is used to analyze the real-time monitoring images to determine the curvature of the first and second leaves. Mathematical analysis methods are used to analyze the curvature of the first and second leaves, as well as the overlapping area, to determine the spraying area. Mathematical analysis methods are used to analyze the first pest and disease severity, spraying area, and first growth pattern to determine the first drug requirement. The drug resistance corresponding to the first crop type is obtained from a crop research website and determined as the first drug resistance. The adsorption degree, the first drug requirement and the first drug resistance are analyzed using a mathematical analysis method to obtain the first spraying requirement.

[0062] This solution uses real-time monitoring images to capture the leaf contours and area of ​​the first and second crops. The leaf positions of the two crops are then analyzed to determine whether any overlap occurs. If overlap occurs, the overlapping area is further calculated, and the degree of leaf curvature is analyzed to determine the spraying area for the first crop. This process helps accurately assess the coverage of the sprayed pesticide. The primary pesticide requirement for the first crop is determined by combining the severity of the first pest and disease, the leaf spraying area, and the primary growth pattern. The matching between the first crop type and the sprayed pesticide type is also taken into account to calculate the primary pesticide resistance of the first crop and optimize drug use. By comprehensively considering the degree of adsorption, the primary pesticide requirement, and the primary pesticide resistance, the primary spraying requirement is accurately determined, ensuring scientific and efficient spraying, reducing resource waste, and improving control effectiveness.

[0063] In some embodiments, the first spraying requirement is determined according to the adsorption degree, the leaf spraying area, the first drug requirement, and the first drug resistance, calculated according to formula (1):

[0064]

[0065] in, Indicates the first spraying demand, represents the first drug demand, Indicates the degree of adsorption, Indicates the first drug resistance, Indicates the leaf spray area.

[0066] Specifically, a mathematical analysis method is used to analyze the adsorption degree, spraying area, first drug requirement and first drug resistance, and the first spraying requirement is determined according to formula (1).

[0067] In formula (1), is the first drug requirement, which is multiplied by the degree of adsorption Related correction factors , indicating that the drug demand will be adjusted according to the degree of adsorption on the crop surface. This correction relationship is nonlinear, meaning that the effect of adsorption on the first drug demand may gradually increase. middle: It is a correction term for the first drug resistance, indicating that the higher the drug resistance of the first crop, the more drugs are needed. By spraying area Multiplying together, it takes into account the size of the spraying area, which means that if the spraying area is large, more medicine will be needed to ensure the desired effect in the entire area.

[0068] By the scheme, the spraying area of the first crop is determined based on real-time monitoring images as the basis for drug coverage. Combined with the adsorption degree, the first drug demand, and the first drug resistance, the first spraying demand is calculated by a formula. The formula takes into account the influence of the adsorption degree on the efficiency of the drug. The higher the adsorption degree, the more the drug demand increases. At the same time, the stronger the drug resistance, the more the drug demand will be adjusted to ensure the effectiveness of the drug. By considering these factors comprehensively, the first spraying demand is accurately determined, which not only avoids waste of drugs, but also maximizes the prevention and control effect of spraying. This process not only improves the efficiency of drug use, but also reduces the waste of environment and resources.

[0069] In some embodiments, according to the real-time monitoring image, the height pest and disease degree and the height leaf area of the first crop at the first crop height are determined; according to the height pest and disease degree and the height leaf area, the height drug demand at the first crop height is determined; according to the first crop type and the height drug demand, the drug receiving degree of the first crop at the first crop height is determined; according to the first crop type, the adsorption degree and the drug receiving degree, the action degree of the sprayed drug on the first crop is determined; according to the second crop type and the real-time monitoring image, it is judged whether the second crop is affected by the type of sprayed drug at the first crop height; if affected, it is judged whether the type of sprayed drug has an impact on the second crop in the soil, and if it has an impact, the drug influence degree of the second crop affected by the sprayed drug is determined according to the second crop type, the type of sprayed drug and the adsorption degree; the drug influence degree and the action degree are included in the demand information.

[0070] The height pest and disease degree can be a numerical value corresponding to the strength of the influence of the first crop affected by pests and diseases at the first crop height. The first crop height can be the vertical height between the highest point of the first crop and the ground. The second crop type can be the type corresponding to the second crop. The height leaf area can be the area corresponding to the leaves of the first crop at the first crop height. The height drug demand can be the amount of sprayed drug that can solve the pest and disease situation of the first crop at the first crop height. The drug receiving degree can be a numerical value corresponding to the strength of the drug resistance receiving ability of the first crop to the sprayed drug at the first crop height. The action degree can be a numerical value corresponding to the strength of the effect of the sprayed drug on the growth of the first crop at the first crop height.

[0071] Specifically, since there are differences in the heights of various crops in interplanting crops, when a disease or pest occurs at a certain height of one of the crops, drug spraying is needed for that crop, and at this time, the adjacent crops at that height will also be affected by the sprayed drug.

[0072] Therefore, the second crop type and the height of the first crop are extracted from the intercropping information. Real-time monitoring images are analyzed using growth models and phenological monitoring technology to determine the degree of pests and diseases at height and the leaf area at height. The unit area dosage of the spraying drug type is extracted from the spraying drug information. Based on the degree of pests and diseases at height, the unit area dosage is multiplied by the leaf area at height to determine the drug requirement at height. The number of leaf stomata corresponding to the first crop type is extracted from the intercropping crop information. Mathematical analysis methods are used to analyze the number of leaf stomata and the drug requirement at height to determine the drug absorption level. Mathematical analysis methods are used to analyze the number of leaf stomata, the degree of adsorption, and the drug absorption level to determine the degree of effect. Based on the second crop type, image analysis methods are used to analyze the real-time monitoring images to determine the leaf distribution position of the second crop at the height of the first crop and the distribution position of the first leaf of the first crop at the height of the first crop. An object detection algorithm is used to analyze the leaf distribution position and the first leaf distribution position to determine the position distance value. The location distance range is obtained from the intercropping management system and matched with the location distance value. If the location distance value is not within the location distance range, the second crop is determined to be affected by the spraying type at the height of the first crop. Based on the second crop type, whether the spraying type has an impact on the second crop in the soil is determined. If so, the number of stomata on the second leaf of the second crop is extracted from the intercropping crop information. Mathematical analysis methods are used to analyze the number of stomata on the second leaf, the solubility of the drug, and the degree of adsorption to determine the degree of drug impact. The degree of drug impact is incorporated into the demand information.

[0073] This solution uses real-time monitoring images to determine the severity of pests and diseases and the leaf area at the height of the first crop, and then calculates the drug demand at that height. Based on the type of the first crop and the drug demand at that height, the drug reception level is estimated, and the drug's effect on the first crop is further determined. At the same time, it assesses whether the second crop is affected by the type of sprayed drug at the height of the first crop. If so, the degree of drug impact in the soil is determined based on the type of the second crop and the degree of adsorption. The degree of drug impact and effect are incorporated into the demand information. This ensures precise spraying of drugs, which not only optimizes drug usage and improves control effectiveness, but also avoids side effects on intercropping crops and ensures the sustainability of agricultural production.

[0074] In some embodiments, the volatilization sensitivity of the sprayed drug is determined based on the standard stability, the real-time ambient temperature, and the real-time atmospheric pressure; the real-time action time of the sprayed drug on the first crop is determined based on the real-time light intensity, the volatilization sensitivity, the standard stability, the real-time ambient temperature, the altitude, and the first spraying requirement, according to formula (2); and the real-time action time is incorporated into the real-time action information:

[0075]

[0076] in, Indicates real-time action time. Indicates the first spraying demand, represents the standard stability, Indicates the preset light intensity coefficient, Indicates the preset temperature influence coefficient, Indicates the real-time ambient temperature. Indicates the degree of volatility sensitivity. represents the standard sea level pressure, represents the standard temperature gradient, Indicates altitude, represents the standard sea level temperature, represents the standard air molecular mass, Represents the standard gas constant.

[0077] Standard stability can be a numerical value corresponding to the stability of the spraying agent under standard conditions. Volatility sensitivity can be a numerical value corresponding to the sensitivity of the spraying agent to volatility when the spraying agent evaporates due to meteorological factors such as air pressure and temperature. Real-time action time can be the length of time that the spraying agent effectively affects the first type of pest or disease. The preset light intensity coefficient can be a numerical value corresponding to the impact of real-time light intensity on the calculation result of real-time action time. The preset temperature influence coefficient can be a numerical value corresponding to the impact of real-time ambient temperature on the calculation result of real-time action time.

[0078] Specifically, standard stability is extracted from the spraying drug information. Real-time light intensity, real-time atmospheric pressure and real-time ambient temperature are extracted from real-time meteorological information. Altitude is extracted from geographic location information. Mathematical analysis methods are used to analyze standard stability, real-time ambient temperature and real-time atmospheric pressure to determine the volatilization sensitivity of the spraying drug. Historical real-time light intensity, historical volatilization sensitivity, historical standard stability, historical real-time ambient temperature, historical altitude, historical first spraying demand and historical real-time action time are obtained from the intercropping crop management system, and the historical real-time light intensity, historical volatilization sensitivity, historical standard stability, historical real-time ambient temperature, historical altitude, historical first spraying demand and historical real-time action time obtained in the above steps are calculated to obtain a preset light intensity coefficient and a preset temperature influence coefficient. In the process of calculating the preset light intensity coefficient and the preset temperature influence coefficient, linear regression analysis method, regression tree analysis method, random forest analysis method and neural network regression analysis method can be used for calculation. The mathematical analysis method is used to analyze the real-time light intensity, volatilization sensitivity, preset light intensity coefficient, preset temperature influence coefficient, standard stability, real-time ambient temperature, altitude and the first spraying demand. The real-time action time is calculated according to formula (2) and included in the real-time action information.

[0079] Among them, in formula (2), the numerator is: middle: It reflects the demand for medicine in the absence of interference from other environmental factors. The higher the concentration, the less volatile the drug is, and the longer it stays on the crop surface, increasing the drug's sustained effect. It shows the effect of real-time light intensity reduction on drug action time. The larger the light intensity, the stronger the drug volatility and the shorter the duration of action. The smaller it is, the slower the drug evaporates and the longer the effect lasts. middle: When it is higher, The value increases, Therefore, the higher the temperature, the faster the drug evaporates and the shorter the action time. , combining multiple factors such as the first spraying requirement, standard stability, real-time light intensity and real-time ambient temperature to adjust the real-time action time of the drug on the crops.

[0080] Denominator: The volatilization rate of the drug and the effect of the environment on its duration of action were characterized. By correcting the effects of environmental changes caused by altitude and air pressure on drug volatility, the real-time action time of drugs on crops under different altitudes and climatic conditions can be predicted.

[0081] This solution evaluates the volatilization sensitivity of sprayed drugs based on standard stability, real-time ambient temperature, and real-time atmospheric pressure. The real-time action time is calculated using a formula based on real-time light intensity, volatilization sensitivity, standard stability, real-time ambient temperature, altitude, and the first spraying requirement. This formula takes into account multiple factors, such as the light intensity coefficient, temperature influence coefficient, and the impact of altitude on drug behavior, to accurately predict the drug's action time. Calculating the real-time action time can help determine the duration and effectiveness of the drug's effect on crops, avoiding unstable or wasted drug efficacy due to changes in meteorological conditions. At the same time, through these precise predictions, spraying operations can be optimized to ensure the optimal effect of drugs on intercrops, improve pesticide use efficiency, and reduce environmental impact.

[0082] In some embodiments, the stomatal opening degree of the leaves corresponding to the first crop is determined based on the first crop type, the real-time ambient temperature, and the real-time atmospheric pressure; the hair density on the leaf surface of the first crop in the first growth state is determined based on the real-time monitoring image; the stability of the sprayed drug is determined based on the real-time ambient temperature, the real-time atmospheric pressure, and the real-time wind speed; the real-time effect intensity of the sprayed drug on the first crop is determined based on the hair density, the stomatal opening degree, the real-time wind speed, the real-time ambient humidity, the altitude, the real-time atmospheric pressure, and the drug stability according to formula (3); and the real-time effect intensity is incorporated into the real-time effect information:

[0083]

[0084] in, Indicates the real-time action intensity, Indicates the degree of stomatal opening. Indicates the real-time ambient humidity. Indicates the density of hair. Indicates drug stability, Indicates the real-time wind speed. Indicates altitude, Indicates the real-time atmospheric pressure. Indicates the preset type adjustment coefficient, Indicates the preset type influence coefficient.

[0085] The stomatal openness may be a value corresponding to the degree of stomata expansion on the leaves of the first crop. The hair density may be a value corresponding to the density of hair on the leaves of the first crop. The drug stability may be the distance between the ideal landing point on the leaves of the sprayed drug and the actual landing point. The real-time action intensity may be a value corresponding to the strength of the effect of the sprayed drug on the first type of pest and disease. The preset type adjustment coefficient may be a value that adjusts the effect of the crop type on the calculation result of the real-time action intensity. The preset type influence coefficient may be a value that affects the sprayed drug type on the calculation result of the real-time action intensity.

[0086] Specifically, based on the first crop type, a mathematical analysis method is used to analyze the real-time ambient temperature and real-time atmospheric pressure to obtain the stomatal opening degree. A feature recognition algorithm is used to analyze the real-time ambient image to obtain the hair density. A mathematical analysis method is used to analyze the real-time ambient temperature, real-time atmospheric pressure and real-time wind speed to determine the drug stability. The historical hair density, historical stomatal opening degree, historical real-time wind speed, historical real-time ambient humidity, historical altitude, historical real-time atmospheric pressure, historical drug stability and historical real-time action intensity are obtained from the intercropping crop management system. The historical hair density, historical stomatal opening degree, historical real-time wind speed, historical real-time ambient humidity, historical altitude, historical real-time atmospheric pressure, historical drug stability and historical real-time action intensity obtained in the above steps are calculated to obtain the preset type adjustment coefficient and the preset type influence coefficient. When calculating the preset type adjustment coefficient and the preset type influence coefficient, a linear regression analysis method, a regression tree analysis method, a random forest analysis method and a neural network regression analysis method can be used for calculation. The mathematical analysis method is used to analyze the hair density, stomatal openness, real-time wind speed, real-time ambient humidity, altitude, real-time atmospheric pressure, drug stability, preset type adjustment coefficient and preset type influence coefficient. The real-time effect intensity of the sprayed drug on the first crop is determined according to formula (3), and the real-time effect intensity is incorporated into the real-time effect information.

[0087] In formula (3), Middle: Stomatal opening and ambient humidity This affects the effectiveness of the drug in contacting the crop surface and penetrating into the leaves. and drug stability This affects the retention and stability of the drug on the crop surface. It is the basic efficiency of the interaction between drugs and crops and depends on the contact and stability of drugs on the crop surface. The inhibitory effect of real-time wind speed and altitude on drug intensity is expressed by exponential decay function: real-time wind speed and altitude All of these may accelerate the volatilization of the drug or reduce the time the drug stays on the crop surface. Real-time environmental humidity It has an antagonistic effect on the volatilization of the drug, making it last longer on the crops. Therefore, the exponential decay function reflects the attenuation of the drug's intensity as the real-time wind speed and altitude increase, and the drug's effect will decrease significantly. The adjustment of the drug's action intensity by atmospheric pressure and preset type adjustment coefficient is taken into account: when the atmospheric pressure is higher, the drug is less likely to volatilize and remain on the crop surface longer, thereby enhancing the drug's action intensity. and preset type influence coefficient It is used to adjust according to the crop type and drug characteristics so that the formula can be adapted to different situations.

[0088] This solution determines the stomatal openness of crop leaves based on the first crop type, real-time ambient temperature, and real-time atmospheric pressure, thereby assessing the potential for drug absorption. By analyzing the hair density on the leaf surface through real-time monitoring images, drug adhesion and absorption efficiency are further optimized. Simultaneously, real-time ambient temperature, real-time wind speed, and real-time atmospheric pressure are used to determine drug stability, ensuring its effectiveness during the spraying process. Combining hair density, stomatal openness, real-time wind speed, humidity, altitude, real-time atmospheric pressure, and drug stability, a formula is used to calculate the real-time action intensity to assess the actual effect of the drug on the crop. This formula comprehensively considers the impact of environmental factors, ensuring the drug's high efficiency and stability under different conditions. Through these precise predictions, pesticide use can be optimized, crop protection effectiveness can be improved, and environmental risks can be reduced.

[0089] In some embodiments, the terrain relief and the distance between the first crop and the second crop are determined based on the real-time monitoring image; the movement speed of the spraying equipment is determined based on the spraying width, the terrain relief, the real-time wind speed, the real-time action time and the distance between the first crop and the second crop according to formula (4); and the movement speed is incorporated into the spraying information:

[0090]

[0091] in, Indicates the movement speed, Indicates the spraying width, Indicates the degree of terrain relief. Indicates the real-time wind speed. Indicates real-time action time. Indicates the interval distance.

[0092] The degree of terrain relief may be a numerical value corresponding to the degree of relief of the terrain where the intercropping crops are located.

[0093] The spacing distance may be a horizontal distance between roots of the first crop and roots of the second crop on the same level.

[0094] The moving speed may be the speed at which the spraying device moves when spraying the medicine.

[0095] Specifically, image analysis methods are used to analyze real-time monitoring images to obtain the terrain relief and the distance between the first and second crops. Mathematical analysis methods are used to analyze the spraying width, terrain relief, real-time wind speed, real-time action time, and distance between crops. The movement speed of the spraying equipment is determined according to formula (4) and incorporated into the spraying information.

[0096] In formula (4), It reflects the speed adjustment of the spraying equipment under the influence of terrain undulation and wind speed. Through square root operation, It represents the combined effect of terrain undulation and real-time wind speed. Its function is to gradually smooth out the influence of these two factors, avoid excessive fluctuations, and make the adjustment of moving speed more balanced. Indicates the adjustment of the moving speed by the real-time action time and the interval distance: real-time action time and separation distance The relationship between the two determines the speed of the spraying equipment. Longer action time and smaller separation distance require the equipment to spray at a lower speed to ensure uniform coverage of the drug. The calculation form of cube root is It reflects the nonlinear effect of real-time action time and interval distance, that is, the effect of changes in real-time action time and interval distance on movement speed is relatively mild, rather than linear growth.

[0097] This solution uses real-time monitoring images to analyze the terrain relief and the spacing between the first and second crops, ensuring that spraying operations are adapted to different terrain conditions and crop layouts. A formula is used to calculate the movement speed of the spraying equipment based on factors such as spraying width, terrain relief, real-time wind speed, real-time action time, and spacing. This calculation takes into account the impact of spraying width and wind speed on drug distribution, the regulation of spraying effects by terrain changes, and the impact of crop spacing on spraying accuracy. Through this precise control, the spraying equipment can move at a reasonable speed, ensuring that the drug evenly covers the crop surface while avoiding waste and environmental pollution. Real-time movement speed information is incorporated into the spraying information, which helps to further optimize spraying operations and improve drug application efficiency and crop protection effects.

[0098] In some embodiments, the drug coverage rate after drug spraying is determined based on real-time monitoring images; the comprehensive spraying degree of the sprayed drug is determined based on the drug coverage rate, drug spraying particle size, moving speed, working height, reference spraying particle size, reference moving speed and reference working height, calculated according to formula (5):

[0099]

[0100] in, Indicates the comprehensive spraying degree, represents the drug coverage rate, Indicates the spray particle size, Indicates the reference spray particle size, Indicates the movement speed, Indicates the base moving speed, Indicates the working height, Indicates the base operating altitude.

[0101] The drug coverage rate may be the ratio between the coverage area of ​​the drug on the leaves and the total area of ​​the leaves. The comprehensive spraying degree may be a numerical value corresponding to the comprehensive effect of the drug on the first crop after the drug spraying. The drug spraying particle size may be the diameter of the drug particles when the spraying equipment is spraying the drug. The operating height may be the vertical distance between the spraying equipment and the ground when the spraying equipment is spraying the drug. The reference spraying particle size may be the diameter of the drug particles when the spraying equipment is spraying the drug in standard mode. The reference moving speed may be the moving speed of the spraying equipment when spraying the drug in standard mode. The reference operating height may be the operating height of the spraying equipment when spraying the drug in standard mode.

[0102] Specifically, the drug spraying particle size, reference spraying particle size, reference moving speed, reference operating height, and operating height of the spraying equipment are extracted from the spraying equipment information. The real-time monitoring image is analyzed using an image analysis method to obtain the drug coverage rate of the first crop after drug spraying. The drug coverage rate, drug spraying particle size, moving speed, operating height, reference spraying particle size, reference moving speed, and reference operating height are analyzed using a mathematical analysis method, and the comprehensive spraying degree of the sprayed drug is determined according to formula (5). Among them, in formula (5), The effect of drug coverage and spray particle size on the comprehensive spraying degree is reflected by the exponential decay coefficient. , reflecting the influence of spraying particle size on the calculation results of comprehensive spraying degree, that is, the larger the spraying particle size, the more obvious the attenuation of comprehensive spraying degree. Describes the effects of moving speed and working height: Moving speed and baseline movement speed Ratio This reflects the effect of the movement speed of the spraying equipment on the overall spraying degree. When the movement speed is high, the drug coverage is uneven and the overall spraying degree is reduced. and base operating height The square of the distance between Affecting the uniformity of spraying drugs, changes in working height will lead to differences in drug distribution. Larger height differences will reduce the uniformity of spraying, thereby affecting the determination of the comprehensive spraying degree.

[0103] This solution uses real-time monitoring images to analyze drug coverage after spraying, ensuring that the drug is evenly distributed on the surface of the target crop. A formula is used to calculate the comprehensive spraying degree based on drug coverage, spray particle size, movement speed, operating height, and corresponding benchmark parameters. This calculation formula takes into account the impact of changes in drug coverage and particle size on the spraying effect, while comparing the deviation of real-time movement speed and operating height from the benchmark values. It accurately adjusts the speed and height during the spraying process to optimize the uniformity and effectiveness of the drug distribution. Through this comprehensive calculation of the spraying degree, the working state of the spraying equipment can be more accurately adjusted to avoid excessive or insufficient drug, improve spraying efficiency and crop protection accuracy, and help ensure efficient and environmentally friendly spraying operations.

[0104] Figure 3 This is a schematic diagram of a drug spraying management system based on GIS technology provided in one embodiment of the present application. Figure 3 As shown, the GIS-based medicine spraying management system 300 of this embodiment includes: a demand information determination module 301 , an action information prediction module 302 , and a spraying information determination module 303 .

[0105] The demand information determination module 301 is used to obtain intercropping crop information and geographical location information, and determine the demand information of the intercropping crop for spraying drugs based on the intercropping crop information and the geographical location information;

[0106] The effect information prediction module 302 is used to obtain real-time weather information and predict the real-time effect information of the drug on the intercropping crop based on the real-time weather information, the geographical location information and the demand information;

[0107] The spraying information determination module 303 is used to obtain spraying equipment information, determine the spraying information of the drug according to the real-time action information, the real-time weather information and the spraying equipment information, and spray the intercrops according to the spraying information.

[0108] Optionally, the demand information determination module 301 is specifically used to: obtain real-time monitoring images of intercropping crops, and determine whether the crop with pests and diseases is the first crop based on the real-time monitoring images; if the crop with pests and diseases is the first crop, determine the first pest and disease degree, the first pest and disease type and the first growth trend of the first crop based on the real-time monitoring images; determine the spraying drug type of the first crop based on the first pest and disease type; obtain spraying drug information corresponding to the spraying drug type, and determine the drug solubility based on the spraying drug information; determine whether the spraying drug type has an impact on the first pest and disease type in the soil, and if so, determine the soil density and soil particle diameter based on the location of the crop; determine the degree of adsorption of the soil to the spraying drug type based on the soil density, the drug solubility and the soil particle diameter; determine the first spraying demand of the first crop for the spraying drug based on the first pest and disease degree, the first growth trend and the adsorption degree; and incorporate the first spraying demand into the demand information.

[0109] Optionally, the demand information determination module 301 is specifically used to: determine, based on the real-time monitoring image, a first leaf contour of the first crop, a first leaf area of ​​the first crop, a second leaf area of ​​the second crop, a second leaf contour of the second crop, a second leaf position of the second crop, and a first leaf position of the first crop; determine whether the first leaf contour and the second leaf contour overlap, and if so, determine an overlapping area based on the first leaf contour, the first leaf position, the second leaf position, and the second leaf contour; determine a bending degree of the first leaf of the first crop and a bending degree of the second leaf of the second crop based on the first leaf position, the real-time monitoring image, and the second leaf position; determine a leaf spraying area of ​​the first crop based on the first leaf bending degree, the second leaf bending degree, and the overlapping area; determine a first drug demand for spraying drugs of the first crop based on the first disease and insect pest degree, the leaf spraying area, and the first growth trend; determine a first drug resistance of the first crop based on the first crop type and the spraying drug type; and determine the first spraying demand based on the adsorption degree, the first drug demand, and the first drug resistance.

[0110] Optionally, the demand information determining module 301 is specifically configured to:

[0111] The first spraying requirement is determined based on the adsorption degree, the leaf spraying area, the first drug requirement, and the first drug resistance, and is calculated according to the following formula:

[0112] ;

[0113] wherein, denotes the first spraying demand, denotes the first drug demand, denotes the adsorption degree, denotes the first drug resistance, denotes the blade spraying area.

[0114] Optionally, the demand information determining module 301 is specifically configured to: determine a height disease and pest degree and a height blade area of the first crop at the first crop height according to the real-time monitoring image; determine a height drug demand at the first crop height according to the height disease and pest degree and the height blade area; determine a drug receiving degree of the first crop at the first crop height according to the first crop type and the height drug demand; determine an action degree of the sprayed drug on the first crop according to the first crop type, the adsorption degree and the drug receiving degree; determine whether the second crop is affected by the sprayed drug type at the first crop height according to the second crop type and the real-time monitoring image; if affected, determine whether the sprayed drug type has an impact on the second crop in the soil, if the impact exists, determine a drug impact degree of the second crop caused by the sprayed drug according to the second crop type, the sprayed drug type and the adsorption degree; and incorporate the drug impact degree and the action degree into the demand information.

[0115] Optionally, the action information determining module 302 is specifically configured to:

[0116] determine a volatilization sensitivity degree of the sprayed drug according to the standard stability, the real-time environmental temperature and the real-time atmospheric pressure;

[0117] determine a real-time action time of the sprayed drug on the first crop according to the real-time light intensity, the volatilization sensitivity degree, the standard stability, the real-time environmental temperature, the altitude and the first spraying demand, and calculate according to the following formula:

[0118] ;

[0119] wherein, denotes the real-time action time, denotes the first spraying demand, denotes the standard stability, denotes a preset light intensity coefficient, denotes a preset temperature influence coefficient, denotes the real-time environmental temperature, denotes the volatilization sensitivity degree, denotes a standard sea level atmospheric pressure, represents the standard temperature gradient, represents the altitude, represents the standard sea level temperature, represents the standard air molecular mass, represents the standard gas constant;

[0120] The real-time action time is incorporated into the real-time action information.

[0121] Optionally, the role information determination module 302 is specifically configured to:

[0122] determining the stomatal opening degree of leaves corresponding to the first crop according to the first crop type, the real-time ambient temperature, and the real-time atmospheric pressure;

[0123] determining, based on the real-time monitoring image, a hair density on a leaf surface of the first crop in the first growth state;

[0124] determining the stability of the sprayed medicine according to the real-time ambient temperature, the real-time atmospheric pressure, and the real-time wind speed;

[0125] The real-time effect intensity of the sprayed drug on the first crop is determined based on the hair density, the stomatal openness, the real-time wind speed, the real-time ambient humidity, the altitude, the real-time atmospheric pressure, and the drug stability, and is calculated according to the following formula:

[0126] ;

[0127] in, represents the real-time action intensity, Indicates the degree of stomatal opening, represents the real-time ambient humidity, Indicates the density of the hair, Indicates the stability of the drug, represents the real-time wind speed, represents the altitude, represents the real-time atmospheric pressure, Indicates the preset type adjustment coefficient, Indicates the influence coefficient of the preset type;

[0128] The real-time action intensity is incorporated into the real-time action information.

[0129] Optionally, the spraying information determination module 303 is specifically configured to:

[0130] determining, based on the real-time monitoring image, the degree of terrain relief and the distance between the first crop and the second crop;

[0131] The moving speed of the spraying equipment is determined based on the spraying width, the terrain undulation, the real-time wind speed, the real-time action time, and the interval distance, and is calculated according to the following formula:

[0132] ;

[0133] in, represents the moving speed, represents the spraying width, Indicates the degree of relief of the terrain. represents the real-time wind speed, represents the real-time action time, Indicates the separation distance;

[0134] The moving speed is incorporated into the spraying information.

[0135] Optionally, the GIS-based drug spraying management system 300 further includes a spraying degree determination module 304, specifically configured to:

[0136] Determining the drug coverage rate after drug spraying and the operating height of the spraying equipment based on the real-time monitoring image;

[0137] The comprehensive spraying degree of the sprayed drug is determined based on the drug coverage rate, the drug spraying particle size, the moving speed, the operating height, the reference spraying particle size, the reference moving speed, and the reference operating height, and is calculated according to the following formula:

[0138] ;

[0139] in, Indicates the comprehensive spraying degree, represents the drug coverage, represents the spraying particle size, represents the reference spraying particle size, represents the moving speed, represents the reference moving speed, Indicates the working height, Indicates the reference operating altitude.

[0140] The system of this embodiment can be used to execute the method of any of the above embodiments. Its implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. A drug spraying management method based on GIS technology, characterized in that: include: Acquiring intercropping crop information and geographic location information, and determining the intercropping crop's demand for spraying drugs based on the intercropping crop information and the geographic location information; Acquiring real-time weather information, and predicting real-time effect information of the drug on the intercropping crops based on the real-time weather information, the geographical location information, and the demand information; Acquiring spraying equipment information, determining drug spraying information based on the real-time action information, the real-time weather information, and the spraying equipment information, and spraying the intercrops according to the spraying information; The geographical location information includes the location of the crop. The determining of the intercropping crop's demand for spraying drugs based on the intercropping crop information and the geographical location information includes: Acquiring real-time monitoring images of the intercropping crops, and determining whether the crop infested with pests and diseases is the first crop based on the real-time monitoring images; If the crop suffering from pests and diseases is the first crop, determining the first pest and disease severity, the first pest and disease type, and the first growth trend of the first crop based on the real-time monitoring image; determining a spraying type for the first crop according to the first pest and disease type; Acquiring spray drug information corresponding to the spray drug type, and determining the drug solubility based on the spray drug information; determining whether the sprayed drug type has an impact on the first pest type in the soil, and if so, determining the soil density and soil particle diameter based on the location of the crop; Determining the degree of adsorption of the sprayed drug by the soil based on the soil density, the drug solubility, and the soil particle diameter; determining a first spraying requirement of the first crop for spraying drugs according to the first pest and disease severity, the first growth trend, and the adsorption degree; Incorporating the first spraying demand into the demand information; The intercropping crop information includes a first crop type, and determining a first spraying requirement of the first crop for spraying drugs based on the first pest and disease severity, the first growth trend, and the adsorption degree includes: determining, based on the real-time monitoring image, a first leaf outline of the first crop, a first leaf area of ​​the first crop, a second leaf area of ​​the second crop, a second leaf outline of the second crop, a second leaf position of the second crop, and a first leaf position of the first crop; Determining whether the first blade contour and the second blade contour overlap, and if so, determining an overlapping area based on the first blade contour, the first blade position, the second blade position, and the second blade contour; determining a bending degree of a first leaf of a first crop and a bending degree of a second leaf of a second crop according to the first leaf position, the real-time monitoring image, and the second leaf position; determining a leaf spraying area of ​​a first crop according to the bending degree of the first leaf, the bending degree of the second leaf, and the overlapping area; determining a first amount of spraying medicine required by the first crop based on the first pest and disease severity, the leaf spraying area, and the first growth trend; determining a first drug resistance of the first crop according to the first crop type and the spraying drug type; determining the first spraying requirement according to the adsorption degree, the first drug requirement, and the first drug resistance; The first spraying requirement is determined based on the adsorption degree, the first drug requirement, and the first drug resistance, and is calculated according to the following formula: ； in, represents the first spraying requirement, represents the first drug demand, represents the degree of adsorption, Indicates the first drug resistance, Indicates the spraying area of ​​the blade.

2. The method according to claim 1, characterized in that The intercropping crop information includes the second crop type and the first crop height. The determining, based on the intercropping crop information and the geographic location information, of the intercropping crop's demand for spraying drugs includes: determining, based on the real-time monitoring image, a height pest and disease severity and a height leaf area of ​​the first crop at the height of the first crop; determining a required amount of medicine at the height of the first crop according to the degree of pests and diseases at the height and the leaf area at the height; determining a drug acceptance level of the first crop at the first crop height based on the first crop type and the drug requirement at the height; determining the effect of the sprayed drug on the first crop according to the first crop type, the adsorption degree, and the drug reception degree; determining, based on the second crop type and the real-time monitoring image, whether the second crop is affected by the spraying drug type at the height of the first crop; If so, determining whether the sprayed drug type has an impact on the second crop in the soil; and if so, determining the extent to which the second crop is affected by the sprayed drug based on the second crop type, the sprayed drug type, and the adsorption degree; The degree of influence of the drug and the degree of action are incorporated into the demand information.

3. The method according to claim 2, characterized in that The spraying drug information includes standard stability, the real-time meteorological information includes real-time light intensity, real-time atmospheric pressure and real-time ambient temperature, the geographical location information includes altitude, and the real-time effect information of the drug on the intercropping crop is predicted based on the real-time meteorological information, the geographical location information and the demand information, including: determining the volatilization sensitivity of the sprayed medicine according to the standard stability, the real-time ambient temperature, and the real-time atmospheric pressure; The real-time action time of the sprayed drug on the first crop is determined based on the real-time light intensity, the volatility sensitivity, the standard stability, the real-time ambient temperature, the altitude, and the first spraying requirement, and is calculated according to the following formula: ； in, represents the real-time action time, represents the first spraying requirement, represents the standard stability, Indicates the preset light intensity coefficient, Indicates the preset temperature influence coefficient, represents the real-time ambient temperature, Indicates the volatility sensitivity, represents the standard sea level pressure, represents the standard temperature gradient, represents the altitude, represents the standard sea level temperature, represents the standard air molecular mass, represents the standard gas constant; The real-time action time is incorporated into the real-time action information.

4. The method according to claim 3, characterized in that The real-time meteorological information includes real-time wind speed and real-time ambient humidity. The real-time effect information of the drug on the intercropped crops is predicted based on the real-time meteorological information, the geographical location information and the demand information, including: determining the stomatal opening degree of leaves corresponding to the first crop according to the first crop type, the real-time ambient temperature, and the real-time atmospheric pressure; determining, based on the real-time monitoring image, a hair density on a leaf surface of the first crop in the first growth state; determining the stability of the sprayed medicine according to the real-time ambient temperature, the real-time atmospheric pressure, and the real-time wind speed; The real-time effect intensity of the sprayed drug on the first crop is determined based on the hair density, the stomatal openness, the real-time wind speed, the real-time ambient humidity, the altitude, the real-time atmospheric pressure, and the drug stability, and is calculated according to the following formula: ； in, represents the real-time action intensity, Indicates the degree of stomatal opening, represents the real-time ambient humidity, Indicates the density of the hair, Indicates the stability of the drug, represents the real-time wind speed, represents the altitude, represents the real-time atmospheric pressure, Indicates the preset type adjustment coefficient, Indicates the influence coefficient of the preset type; The real-time action intensity is incorporated into the real-time action information.

5. The method according to claim 4, characterized in that The spraying equipment information includes a spraying width, and the determining of the spraying information of the drug based on the real-time action information, the real-time weather information, and the spraying equipment information includes: determining, based on the real-time monitoring image, the degree of terrain relief and the distance between the first crop and the second crop; The moving speed of the spraying equipment is determined based on the spraying width, the terrain undulation, the real-time wind speed, the real-time action time, and the interval distance, and is calculated according to the following formula: ； in, represents the moving speed, represents the spraying width, Indicates the degree of relief of the terrain. represents the real-time wind speed, represents the real-time action time, Indicates the separation distance; The moving speed is incorporated into the spraying information.

6. The method according to claim 5, characterized in that The spraying equipment information includes a drug spraying particle size, a reference spraying particle size, a reference moving speed, a reference operating height, and an operating height of the spraying equipment. After determining the drug spraying information based on the real-time action information, the real-time weather information, and the spraying equipment information, the method further includes: determining the drug coverage rate after drug spraying according to the real-time monitoring image; The comprehensive spraying degree of the sprayed drug is determined based on the drug coverage rate, the drug spraying particle size, the moving speed, the operating height, the reference spraying particle size, the reference moving speed, and the reference operating height, and is calculated according to the following formula: ； in, Indicates the comprehensive spraying degree, represents the drug coverage, represents the spraying particle size, represents the reference spraying particle size, represents the moving speed, represents the reference moving speed, Indicates the working height, Indicates the reference operating altitude.

7. A drug spraying management system based on GIS technology, characterized in that: The method according to any one of claims 1 to 6 comprises: a demand information determination module, configured to obtain intercropping crop information and geographic location information, and determine the intercropping crop's demand information for spraying drugs based on the intercropping crop information and the geographic location information; an action information prediction module, configured to obtain real-time meteorological information and predict the real-time action information of the drug on the intercropping crop based on the real-time meteorological information, the geographical location information, and the demand information; The spraying information determination module is used to obtain spraying equipment information, determine the spraying information of the medicine according to the real-time action information, the real-time meteorological information and the spraying equipment information, and spray the intercrops according to the spraying information.

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