Drug spraying management method and system based on GIS technology

Abstract

The invention relates to the field of pesticide spraying, in particular to a pesticide spraying management method and system based on a GIS technology. The method comprises the following steps: acquiring intercropping crop information and geographical location information, and determining demand information of intercropping crops for pesticide spraying according to the intercropping crop information and the geographical location information; acquiring real-time weather information, and predicting real-time action information of the pesticide on the intercropping crops according to the real-time weather information, the geographic position information and the demand information; and obtaining spraying equipment information, determining pesticide spraying information according to the real-time action information, the real-time weather information and the spraying equipment information, and spraying the intercropping crops according to the spraying information. According to the application, the spraying information is determined according to the intercropping crop information, the geographic position information, the spraying equipment information and the real-time weather information, the spraying parameters of the spraying equipment are adjusted through the spraying information, and the environmental friendliness and economical efficiency of pesticide use are optimized while precise pesticide 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 planting crops. In the case of intercropping, the use of unmanned spraying equipment to spray intercropped crops with pesticides can reduce the intensity of manual labor while preventing and controlling pests and diseases, thereby improving the efficiency and effectiveness of spraying pesticides on intercropped crops, and thus ensuring the normal growth of intercropped crops.

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

[0004] The present 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 drug spraying management method based on GIS technology, the method comprising:

[0006] Acquire intercropping crop information and geographic location information, and determine the demand information of the intercropping crops 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 spraying information of drugs based on the real-time effect information, the real-time meteorological information and the spraying equipment information, and spray the intercropping crops according to the spraying information.

[0007] Through this solution, intercropping crop information and geographic location information are obtained, and crop demand information is accurately identified, thereby providing a scientific basis for subsequent drug spraying. Combined with real-time meteorological information, geographic location information and demand information, the real-time effect 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 level of intelligent agricultural management.

[0008] Optionally, the geographic location information includes the location of the crop, and the determining the demand information of the intercropping crop for spraying drugs based on the intercropping crop information and the geographic location information includes: obtaining a real-time monitoring image of the intercropping crop, and judging whether the crop infested with pests and diseases is the first crop according to the real-time monitoring image; if the crop infested with pests and diseases is the first crop, determining the first degree of pests and diseases, the first type of pests and diseases and the first growth trend of the first crop according to the real-time monitoring image; determining the type of spraying drugs for the first crop according to the first type of pests and diseases; obtaining spraying drug information corresponding to the spraying drug type, and determining the drug solubility according to the spraying drug information; judging whether the spraying drug type has an impact on the first type of pests and diseases in the soil, and if so, determining the soil density and the soil particle diameter according to the location of the crop; determining the degree of adsorption of the spraying drug type by the soil according to the soil density, the drug solubility and the soil particle diameter; determining the first spraying demand of the first crop for spraying drugs according to the first degree of pests and diseases, 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 determining a first spraying requirement for spraying medicine for the first crop 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 overlaps with the second leaf contour, and if so, determining the overlap based on the first leaf contour, the first leaf position, the second leaf position and the second leaf contour. The 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 demand of the first crop for spraying drugs according to the first degree of pests and diseases, the leaf spraying area and the first growth trend; determining the first drug resistance of the first crop according to the first crop type and the spraying drug type; determining the first spraying demand according to the adsorption degree, the first drug demand and the first drug resistance.

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

[0011]

[0012] Wherein, P1 represents the first spraying requirement, D1 represents the first drug requirement, A s represents the adsorption degree, R1 represents the first drug resistance, and S represents the leaf spraying area.

[0013] Optionally, the intercropping crop information includes the type of the second crop and the height of the first crop, and the determining the demand information of the intercropping crops for spraying drugs based on the intercropping crop information and the geographical location information includes: determining the degree of disease and insect pests and the height leaf area of ​​the first crop at the height of the first crop based on the real-time monitoring image; determining the height drug demand at the height of the first crop based on the degree of disease and insect pests and the height leaf area; determining the drug acceptance degree of the first crop at the height of the first crop based on the first crop type and the height drug demand; determining the effect 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 height of the first crop based on the second crop type and the real-time monitoring image; if affected, judging whether the spraying drug type has an impact on the second crop in the soil, and if affected, determining the drug impact degree of the second crop based on the second crop type, the spraying drug type and the adsorption degree; and incorporating the drug impact degree and the action degree into the demand information.

[0014] Optionally, 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 action 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 spraying drug based on the standard stability, the real-time ambient temperature and the real-time atmospheric pressure; determining the real-time action time of the spraying 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, and calculating according to the following formula:

[0015]

[0016] Wherein, T represents the real-time action time, D represents the first spraying demand, S0 represents the standard stability, α represents the preset light intensity coefficient, β represents the preset temperature influence coefficient, T erepresents the real-time ambient temperature, γ represents the volatility sensitivity, p0 represents the standard sea level pressure, L represents the standard temperature gradient, H represents the altitude, T0 represents the standard sea level temperature, M represents the standard air molecular mass, and R represents the standard gas constant; the real-time action time is included in the real-time action information.

[0017] Optionally, the real-time meteorological information includes real-time wind speed and real-time ambient humidity, and the real-time action 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 stomatal opening degree of the leaves corresponding to the first crop according to the first crop type, the real-time ambient temperature and the real-time atmospheric pressure; determining the hair density on the surface of the leaves of the first crop under the first growth situation according to the real-time monitoring image; determining the drug stability of the sprayed drug according to the real-time ambient temperature, the real-time atmospheric pressure and the real-time wind speed; determining the real-time action intensity of the sprayed drug on the first crop according to 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] Among them, W represents the real-time action intensity, A represents the stomatal opening degree, Q represents the real-time environmental humidity, B represents the hair density, S represents the drug stability, F represents the real-time wind speed, H represents the altitude, G represents the real-time atmospheric pressure, K represents the preset type adjustment coefficient, and P represents the preset type influence coefficient; the real-time action intensity is incorporated into the real-time action information.

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

[0021]

[0022] Wherein, v represents the moving speed, w represents the spraying width, t represents the terrain undulation, F represents the real-time wind speed, T represents the real-time action time, and D b 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 according to the real-time action information, the real-time meteorological information, and the spraying equipment information, the method further includes: determining the drug coverage rate after the drug spraying according to the real-time monitoring image; determining the comprehensive spraying degree of the sprayed drug according to 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 according to the following formula:

[0024]

[0025] Wherein, E represents the comprehensive spraying degree, C f represents the drug coverage, D y represents the spraying particle size, D0 represents the reference spraying particle size, v represents the moving speed, v0 represents the reference moving speed, X represents the working height, and X0 represents the reference working height.

[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 is used to obtain intercropping crop information and geographic location information, and determine the demand information of the intercropping crop for spraying drugs based on the intercropping crop information and the geographic location information;

[0028] An action information prediction module is used to obtain real-time meteorological information, and predict the real-time action information of the drug on the intercropping crop according to 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 for an 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 A schematic diagram of the structure of a medicine spraying management system based on GIS technology provided in one embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme 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 creative work are within the scope of protection of this application.

[0035] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0036] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

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

[0038] Based on this, the present application provides a drug spraying management method and system based on GIS technology to obtain intercropping information and geographic location information, accurately identify crop demand information, and thus provide a scientific basis for subsequent drug spraying. Combined with real-time meteorological information, geographic location information and demand information, the real-time action 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 level of intelligence in agricultural management.

[0039] Figure 1A schematic diagram of an application scenario provided in the present application. When spraying intercrops with pesticides, the method provided in the present application is applied to obtain and analyze the 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 intercrop management system, the drug spraying system and the environmental monitoring equipment. The intercrop management system can be a system for managing the planting and growth of intercrops. The environmental monitoring equipment can be a device for monitoring the growth environment of intercrops, and the environmental monitoring equipment can be a video monitoring device and a meteorological monitoring device. The server obtains and analyzes the intercrop information of the intercrop management system, the geographical location information of the intercrop management system, the real-time meteorological information of the environmental monitoring equipment, and the spraying equipment information of the drug spraying system, thereby determining the spraying information and sending the spraying information to the drug spraying system. Based on the intercrop information, geographical location information, spraying equipment information and 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 drug use while ensuring accurate drug application. 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 an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes:

[0042] S201, obtaining intercropping crop information and geographic location information, and determining the intercropping crop's demand information for spraying drugs based on the intercropping crop information and geographic location information.

[0043] The intercropping crop information may be basic information of the intercropping crop. The intercropping crop information may include the crop growth cycle of the intercropping crop. The geographical location information may be geographical information corresponding to the planting location of the intercropping crop. The geographical location information may include the altitude. The demand information may be information corresponding to the demand of the intercropping crop for the amount of spraying drug, the spraying time, etc. before spraying the intercropping crop with drugs. The demand information may include the spraying demand time.

[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. The crop growth cycle and altitude are analyzed using a mathematical analysis method to obtain the spraying requirement time of the intercropping crop, and the spraying requirement time is included in the demand information.

[0045] S202, obtaining real-time meteorological information, and predicting the real-time effect information of the drug on the intercropping crops according to the real-time meteorological 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 length of time and intensity of the effect of spraying the pesticide on the growth of the intercropped crops before the pesticide is sprayed on the intercropped crops.

[0048] Specifically, meteorological data of the location of the intercropping crop is obtained from the meteorological monitoring equipment, and the meteorological data is integrated to obtain real-time meteorological information. Real-time light intensity and real-time wind speed are extracted from the real-time meteorological information. The location coordinates of the intercropping crop are extracted from the geographical location information. The real-time wind speed, real-time light intensity and location coordinates are analyzed using mathematical analysis methods to obtain the real-time action time of the spraying drug on the intercropping crop, and the real-time action time is included in the real-time action information.

[0049] S203, obtaining spraying equipment information, determining the spraying information of the drug according to the real-time action information, real-time weather information and spraying equipment information, and spraying the intercropping crops 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 with drugs, in order to match the effect of drug spraying with the actual spraying demand of the crops for drugs, thereby adjusting the operating parameters of the spraying equipment.

[0052] Specifically, the spraying equipment information is obtained from the spraying management system. The spraying angle of the drug is extracted from the spraying equipment information. The real-time action time, the real-time light intensity and the spraying angle are analyzed using a mathematical analysis method to obtain the drug spraying duration of the spraying equipment. The drug spraying duration is included in the spraying information. The spraying equipment sprays the intercropping crop with drugs according to the spraying information.

[0053] Through this solution, intercropping crop information and geographic location information are obtained, and crop demand information is accurately identified, thereby providing a scientific basis for subsequent drug spraying. Combined with real-time meteorological information, geographic location information and demand information, the real-time effect 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 level of intelligent agricultural management.

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

[0055] The real-time monitoring image may be an image obtained by monitoring the intercropping crop using a video monitoring device. The spraying drug information may be basic information of the spraying drug. The spraying drug information may include drug solubility. The first crop may be a crop with a relatively low height that requires drug spraying. The first degree of pests and diseases may be a numerical value corresponding to the degree to which the first crop is affected by pests and diseases. The first growth trend may be a numerical value corresponding to the development trend and health status of the first crop during the growth process. The first pest and disease type may be the type of pest and disease corresponding to the first crop when it is affected by pests and diseases. The spraying drug type may be the type corresponding to the spraying drug. Drug solubility may be a numerical value corresponding to the strength of the dissolution ability of the spraying drug. The degree of adsorption may be a numerical value corresponding to the strength of the adsorption ability of the soil at the location of the intercropping crop to the spraying drug. The first spraying demand may be the amount of spraying drug corresponding to the pest and disease situation of the first crop.

[0056] Specifically, since there are many types of intercrops, when multiple crops exist at the same time, the growth trends, leaf shapes, and growth heights of different types of crops will be different. At the same time, the soil where the intercrops are located will also have a certain adsorption effect on the sprayed drugs, and the sprayed drugs adsorbed by the soil will also affect the growth of the intercrops. The existence of the above differences and influences will affect the accuracy and effectiveness of drug spraying.

[0057] Therefore, a real-time monitoring image is obtained from the video monitoring equipment, and the real-time monitoring image is analyzed using image processing and feature extraction technology to determine whether the first crop has pests and diseases. If the first crop has pests and diseases, the real-time monitoring image is analyzed using a growth model and phenological monitoring technology to obtain the first pest and disease degree, the first pest and disease type, and the first growth trend. The spraying drug type corresponding to the first pest and disease type and the spraying drug information corresponding to the spraying drug type are obtained from the crop research website. The drug solubility is extracted from the spraying drug information. According to the spraying drug information, it is determined whether the spraying drug type has an impact on the first pest and disease type in the soil. If it has an impact, the location of the crop is extracted from the geographical location information, thereby obtaining the soil density and soil particle diameter at the location of the crop. The real-time ambient temperature is extracted from the real-time meteorological information. The soil density, drug solubility and soil particle diameter are analyzed using a mathematical analysis method to determine the degree of adsorption of the spraying drug type by the soil. A mathematical analysis method is used to analyze the first pest and disease degree, the first growth trend and the adsorption degree, to determine the first spraying demand of the first crop for spraying medicine, and to include the first spraying demand in the demand information.

[0058] Through this solution, after obtaining real-time monitoring images of intercropping crops, it is identified whether the first crop has pests and diseases. If so, the degree, type and growth trend of the pests and diseases are further analyzed to provide a scientific basis for subsequent drug spraying. According to the type of pests and diseases, the type of spraying drug is determined, and the corresponding spraying drug information is obtained to further analyze the solubility of the drug. Evaluate the impact of the spraying drug type on the soil and pests and diseases, analyze the soil density and particle diameter in combination with the location of the crop, and determine the degree of soil adsorption of the drug. By comprehensively considering the degree of pests and diseases, growth trend and soil adsorption, the first spraying demand is accurately calculated to ensure accurate drug delivery, reduce waste and improve treatment effects. Incorporate the first spraying demand into the overall management system, optimize the drug spraying strategy, and improve the efficiency and accuracy of agricultural production.

[0059] In some embodiments, based on the real-time monitoring image, the first leaf contour of the first crop, the first leaf area of ​​the first crop, the second leaf area of ​​the second crop, the second leaf contour 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 contour and the second leaf contour overlap, and if overlap occurs, the overlapping area is determined based on the first leaf contour, the first leaf position, the second leaf position, and the second leaf contour; the bending degree of the first leaf of the first crop and the bending degree of the second leaf of the second crop are determined based on the first leaf position, the real-time monitoring image, and the second leaf position; the leaf spraying area of ​​the first crop is determined based on the bending degree of the first leaf, the bending degree of the second leaf, and the overlapping area; the first drug demand of the first crop for spraying drugs is determined based on the first degree of pests and diseases, the leaf spraying area, and the first growth trend; the first drug resistance of the first crop is determined based on the first crop type and the spraying drug type; the first spraying demand is determined based on the adsorption degree, the first drug demand, and the first drug resistance.

[0060] The first leaf profile may be a profile corresponding to a leaf of the first crop; the first leaf area may be an area corresponding to a leaf of the first crop; the second leaf profile may be a profile corresponding to a leaf of the second crop; and the second leaf area may be an area corresponding to a leaf of the second crop. The first leaf position may be a position of a leaf of the first crop in a space where the crop is located. The second leaf position may be a position of a leaf of the second crop in a space where the crop is located. The overlapping and fitting area may be an area corresponding to an overlapping or fitting region of a leaf of the first crop and a leaf of the second crop when overlapping or fitting occurs. The first leaf bending degree may be a value corresponding to a bending degree of a leaf of the first crop. The second leaf bending degree may be a value corresponding to a bending degree of a leaf of the second crop. The spraying area may be a leaf area determined to be sprayed when spraying a drug on the leaf of the first crop. The first drug demand may be an amount of the spraying drug required by the first crop. The first drug resistance may be a value corresponding to the tolerance of the first crop to the spraying drug.

[0061] Specifically, the first crop type is extracted from the intercropping crop information. The real-time monitoring image is analyzed using convolutional neural network technology to obtain the first leaf contour, the first leaf area, the second leaf area, the second leaf contour, the second leaf position, and the first leaf position. The first leaf contour and the second leaf contour are analyzed using morphological operation technology to determine whether the first leaf contour and the second leaf contour overlap. If overlap occurs, the first leaf contour, the first leaf position, the second leaf position, and the second leaf contour are analyzed using set analysis and overlap calculation technology to determine the overlapping area. Based on the first leaf position and the second leaf position, the real-time monitoring image is analyzed using a feature recognition algorithm to obtain the bending degree of the first leaf and the bending degree of the second leaf. The first leaf bending degree, the second leaf bending degree, and the overlapping area are analyzed using a mathematical analysis method to determine the leaf spraying area. The first pest and disease degree, the spraying area, and the first growth trend are analyzed using a mathematical analysis method to determine the first drug demand. The drug resistance corresponding to the first crop type is obtained from the crop research website, and the drug resistance corresponding to the first crop type is 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] Through this solution, the leaf contour and area information of the first crop and the second crop are obtained through real-time monitoring images, and the leaf positions of the two are analyzed to determine whether overlap occurs. If overlap occurs, the overlapping area is further calculated, and the bending degree of the leaves is analyzed to determine the leaf spraying area of ​​the first crop. This process helps to accurately evaluate the coverage of the sprayed drug. Combined with the first pest and disease degree, the leaf spraying area and the first growth trend, the first drug demand of the first crop for spraying drugs is determined. The matching of the first crop type and the spraying drug type is also taken into account to calculate the first drug resistance of the first crop and optimize the use of drugs. Comprehensively considering the degree of adsorption, the first drug demand and the first drug resistance, the first spraying demand is accurately determined to ensure the scientificity and efficiency of drug spraying, reduce resource waste and improve the prevention and control effect.

[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, by calculating according to formula (1):

[0064]

[0065] Among them, P1 represents the first spraying demand, D1 represents the first drug demand, A s It represents the degree of adsorption, R1 represents the first resistance, and S represents the spraying area of ​​leaves.

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

[0067] In formula (1), D1 is the first drug requirement, which is multiplied by a correction factor related to the adsorption degree A. This means that the drug demand will be adjusted according to the degree of adsorption on the crop surface. This correction relationship is nonlinear, which means that the effect of adsorption on the first drug demand may increase gradually. middle: It is a correction term for the first resistance, indicating that the higher the resistance of the first crop, the more drugs are needed. By multiplying it with the spraying area S, the size of the spraying area is taken into account, which means that if the spraying area is large, more medicine is needed to ensure the desired efficacy in the entire area.

[0068] Through this solution, the spraying area of ​​the first crop is determined through real-time monitoring images as the basis for the coverage of the drug. Combining the degree of adsorption, the first drug requirement and the first drug resistance, the first spraying requirement is calculated through a formula. The formula takes into account the impact of the degree of adsorption on the efficiency of the drug. The higher the degree of adsorption, the higher the drug requirement; at the same time, the stronger the drug resistance, the drug requirement will be adjusted accordingly to ensure the effectiveness of the drug. By comprehensively considering these factors, the first spraying requirement is accurately determined, which not only avoids drug waste, but also ensures that the spraying control effect is maximized. This process not only improves the efficiency of drug use, but also reduces the waste of environment and resources.

[0069] In some embodiments, based on real-time monitoring images, the altitude pest and disease level and altitude leaf area of ​​the first crop at the altitude of the first crop are determined; based on the altitude pest and disease level and the altitude leaf area, the altitude drug demand at the altitude of the first crop is determined; based on the first crop type and the altitude drug demand, the drug acceptance level of the first crop at the altitude of the first crop is determined; based on the first crop type, the adsorption level and the drug acceptance level, the effect of the sprayed drug on the first crop is determined; based on the second crop type and real-time monitoring images, it is determined whether the second crop is affected by the sprayed drug type at the altitude of the first crop; if affected, it is determined whether the sprayed drug type has an impact on the second crop in the soil, and if affected, the degree of drug impact of the second crop on the sprayed drug is determined based on the second crop type, the sprayed drug type and the adsorption level; the drug impact level and the drug action level are incorporated into the demand information.

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

[0071] Specifically, since there are differences in the heights of various crops in intercropping, when one of the crops is infected with pests and diseases at a certain height, it needs to be sprayed with pesticides. At this time, the adjacent crops at this height will also be affected by the spraying of pesticides.

[0072] Therefore, the second crop type and the height of the first crop are extracted from the intercropping information. The real-time monitoring image is analyzed using the growth model and phenological monitoring technology to obtain 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 obtain the drug demand at height. The number of leaf stomata corresponding to the first crop type is extracted from the intercropping crop information. The number of leaf stomata and the drug demand at height are analyzed using mathematical analysis methods to obtain the drug reception degree. The number of leaf stomata, the degree of adsorption and the degree of drug reception are analyzed using mathematical analysis methods to obtain the degree of action. Based on the second crop type, the real-time monitoring image is analyzed using an image analysis method to obtain the leaf distribution position of the second crop at the height of the first crop and the first leaf distribution position of the first crop at the height of the first crop. The target detection algorithm is used to analyze the leaf distribution position and the first leaf distribution position to obtain the position distance value. Obtain the position distance range from the intercropping management system, match the position distance range with the position distance value, and if the position distance value is not within the position distance range, determine that the second crop is affected by the sprayed drug type at the height of the first crop. Based on the second crop type, determine whether the sprayed drug type has an impact on the second crop in the soil. If it does, extract the number of stomata on the second leaf of the second crop from the intercropping crop information. Use mathematical analysis methods to analyze the number of stomata on the second leaf, drug solubility and adsorption degree to obtain the degree of drug impact. Incorporate the degree of drug impact into the demand information.

[0073] Through this solution, the height of the first crop at the height of the first crop and the height leaf area are determined through real-time monitoring images, and then the height drug demand at the height is calculated. According to the first crop type and the height drug demand, the drug reception degree is estimated, and the effect of the drug on the first crop is further determined. At the same time, it is evaluated whether the second crop is affected by the type of sprayed drugs at the height of the first crop. If there is an impact, the degree of drug impact in the soil is determined based on the second crop type and the degree of adsorption. The degree of drug impact and the degree of action are included in the demand information. It ensures the precise spraying of drugs, which not only optimizes the amount of drugs used and improves the prevention and control effect, but also avoids the 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 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 according to the real-time light intensity, the volatilization sensitivity, the standard stability, the real-time ambient temperature, the altitude and the first spraying demand according to formula (2); and the real-time action time is included in the real-time action information:

[0075]

[0076] Wherein, T represents the real-time action time, D represents the first spraying demand, S0 represents the standard stability, α represents the preset light intensity coefficient, β represents the preset temperature influence coefficient, T e represents the real-time ambient temperature, γ represents the volatility sensitivity, p0 represents the standard sea level pressure, L represents the standard temperature gradient, H represents the altitude, T0 represents the standard sea level temperature, M represents the standard air molecular mass, and R represents the standard gas constant.

[0077] The standard stability may be a numerical value corresponding to the stability of the spraying drug under standard conditions. The volatility sensitivity may be a numerical value corresponding to the sensitivity of the spraying drug to volatility when the spraying drug volatilizes due to meteorological factors such as air pressure and temperature. The real-time action time may be the length of time that the spraying drug has an effective effect on the first type of pests and diseases. The preset light intensity coefficient may be a numerical value corresponding to the effect of the real-time light intensity on the calculation result of the real-time action time. The preset temperature influence coefficient may be a numerical value corresponding to the effect of the real-time ambient temperature on the calculation result of the 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. Standard stability, real-time ambient temperature and real-time atmospheric pressure are analyzed using mathematical analysis methods 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, 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 real-time light intensity, volatility sensitivity, preset light intensity coefficient, preset temperature influence coefficient, standard stability, real-time ambient temperature, altitude and the first spraying demand are analyzed by mathematical analysis method, and the real-time action time is calculated according to formula (2), and the real-time action time is included in the real-time action information.

[0079] Where, in formula (2), the numerator is: D·S0·(1-α)·(1-βT e ) in which D reflects the demand for drugs without interference from other environmental factors. The higher the S0, the lower the volatility of the drug, and the longer it stays on the crop surface, increasing the sustained effect of the drug. (1-α) represents the effect of reduced real-time light intensity on the duration of drug action. If the light intensity α is larger, the drug is more volatile and the duration of action is relatively shortened. Conversely, the smaller the light intensity α, the slower the drug evaporates and the longer the duration of action. (1-βT e ):T e When βT is high, e The value increases, (1-βT e ) will decrease, resulting in a shortened real-time action time of the drug. Therefore, the higher the temperature, the faster the drug evaporates and the shorter the action time. e ), combines 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 action time 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] Through this solution, the volatility sensitivity of the sprayed drug is evaluated based on the standard stability, real-time ambient temperature and real-time atmospheric pressure. The real-time action time is calculated by a formula combining the real-time light intensity, volatility sensitivity, standard stability, real-time ambient temperature, altitude and the first spraying requirement. This formula takes into account a variety of factors, such as the influence of light intensity coefficient, temperature influence coefficient and altitude on drug behavior, so as to accurately predict the action time of the drug. The calculation of real-time action time can help determine the duration and effect of the drug on crops, and avoid unstable or wasted drug efficacy due to changes in meteorological conditions. At the same time, through these precise predictions, the spraying operation is optimized to ensure the best effect of the drug on intercropping crops, improve the efficiency of pesticide use and reduce the impact on the environment.

[0082] In some embodiments, the stomatal opening degree of the leaves corresponding to the first crop is determined according to 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 according to the real-time monitoring image; the drug stability of the sprayed drug is determined 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 according to 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] Among them, W represents the real-time action intensity, A represents the stomatal openness, Q represents the real-time environmental humidity, B represents the hair density, S represents the drug stability, F represents the real-time wind speed, H represents the altitude, G represents the real-time atmospheric pressure, K represents the preset type adjustment coefficient, and P represents the preset type influence coefficient.

[0085] The degree of stomatal opening may be a value corresponding to the degree of expansion of the stomata of the leaves of the first crop. The degree of hair density may be a value corresponding to the degree of density of the hair on the leaves of the first crop. The drug stability may be the distance between the position where the sprayed drug falls on the leaves under ideal conditions and the actual landing position. The real-time action intensity may be a value corresponding to the strength of the action of the sprayed drug on the first type of pests and diseases. The preset type adjustment coefficient may be a value for adjusting the influence of the crop type on the calculation result of the real-time action intensity. The preset type influence coefficient may be a value for the influence of 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 the 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, the real-time atmospheric pressure and the real-time wind speed to determine the drug stability. The historical hair density, the historical stomatal opening degree, the historical real-time wind speed, the historical real-time ambient humidity, the historical altitude, the historical real-time atmospheric pressure, the historical drug stability and the historical real-time action intensity are obtained from the intercropping crop management system. The historical hair density, the historical stomatal opening degree, the historical real-time wind speed, the historical real-time ambient humidity, the historical altitude, the historical real-time atmospheric pressure, the historical drug stability and the 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 to calculate. The hair density, stomatal opening, real-time wind speed, real-time ambient humidity, altitude, real-time atmospheric pressure, drug stability, preset type adjustment coefficient and preset type influence coefficient are analyzed by mathematical analysis methods. 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 degree A and environmental humidity Q affect the effect of drugs contacting and entering leaves on the crop surface. Hair density B and drug stability S affect the retention and stability of drugs on the crop surface. Therefore, The basic efficiency of the interaction between drugs and crops depends on the contact and stability of the drug on the crop surface. The exponential decay function expresses the inhibitory effect of real-time wind speed and altitude on the intensity of drug action: the real-time wind speed F and altitude H may accelerate the volatilization of the drug or reduce the time the drug stays on the crop surface. The real-time environmental humidity Q has an antagonistic effect on the volatilization of the drug, making it last longer on the crop. Therefore, the exponential decay function reflects that as the real-time wind speed and altitude increase, the intensity of the drug action decays, and the effect of the drug will decrease significantly. The adjustment of the drug action intensity by atmospheric pressure and preset type adjustment coefficient is considered: when the atmospheric pressure is high, the drug is less volatile and remains on the crop surface for a longer time, thereby enhancing the drug action intensity. The preset type adjustment coefficient K and preset type influence coefficient P are used to adjust according to the crop type and drug characteristics, so that the formula can adapt to different situations.

[0088] Through this solution, the stomatal opening of crop leaves is determined according to the first crop type, real-time ambient temperature and real-time atmospheric pressure, so as to evaluate the drug absorption potential. By real-time monitoring images, the density of hair on the leaf surface is analyzed to further optimize the adhesion and absorption efficiency of the drug. At the same time, the real-time ambient temperature, real-time wind speed and real-time atmospheric pressure are used to determine the stability of the drug to ensure the effectiveness of the drug during the spraying process. Combining the hair density, stomatal opening, real-time wind speed, humidity, altitude, real-time atmospheric pressure and drug stability, the real-time action intensity is calculated using a formula to evaluate the actual effect of the drug on the crop. The formula comprehensively considers the influence of environmental factors and ensures the high efficiency and stability of the drug under different conditions. Through these precise predictions, the use of pesticides is optimized, the crop protection effect is improved, and environmental risks are reduced.

[0089] In some embodiments, the terrain undulation and the interval distance between the first crop and the second crop are determined based on the real-time monitoring image; 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 according to formula (4); and the moving speed is included in the spraying information:

[0090]

[0091] Among them, v represents the moving speed, w represents the spraying width, t represents the terrain undulation, F represents the real-time wind speed, T represents the real-time action time, and D b Indicates the interval distance.

[0092] The degree of terrain undulation may be a numerical value corresponding to the degree of undulation 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 horizontal plane.

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

[0095] Specifically, an image analysis method is used to analyze the real-time monitoring image to obtain the terrain undulation and the interval distance between the first crop and the second crop. A mathematical analysis method is used to analyze the spraying width, terrain undulation, real-time wind speed, real-time action time and interval distance, and the moving speed of the spraying equipment is determined according to formula (4), and the moving speed is included in 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 impact of terrain undulation and real-time wind speed. Its function is to gradually smooth the impact 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 T and interval distance D b The relationship between the speed of the spraying equipment determines the speed of movement. Longer action time and smaller standoff distance require the equipment to spray at a lower speed to ensure uniform coverage of the drug. The calculation form of the cube root is It reflects the nonlinear influence of real-time action time and interval distance, that is, the influence of changes in real-time action time and interval distance on movement speed is relatively mild, rather than linear growth.

[0097] Through this solution, the terrain undulation and the spacing distance between the first crop and the second crop are analyzed by real-time monitoring images to ensure that the spraying operation adapts to different terrain conditions and crop layouts. Based on factors such as spraying width, terrain undulation, real-time wind speed, real-time action time and spacing distance, the moving speed of the spraying equipment is calculated using a formula. This calculation takes into account the impact of spraying width and wind speed on drug distribution, the regulation of spraying effect 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 to ensure that the drug evenly covers the crop surface while avoiding waste and environmental pollution. Real-time moving speed information is incorporated into the spraying information, which helps to further optimize the spraying operation and improve drug application efficiency and crop protection effects.

[0098] In some embodiments, the drug coverage after drug spraying is determined based on the real-time monitoring image; the comprehensive spraying degree of the sprayed drug is determined based on the drug coverage, 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] Among them, E represents the comprehensive spraying degree, C f represents drug coverage, D y represents the spraying particle size, D0 represents the reference spraying particle size, v represents the moving speed, v0 represents the reference moving speed, X represents the working height, and X0 represents the reference working height.

[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 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 device sprays the drug. The operating height may be the vertical distance between the spraying device and the ground when the spraying device sprays the drug. The reference spraying particle size may be the diameter of the drug particles when the spraying device sprays the drug in the standard mode. The reference moving speed may be the moving speed of the spraying device when the spraying device sprays the drug in the standard mode. The reference operating height may be the operating height of the spraying device when the spraying device sprays the drug in the standard mode.

[0102] Specifically, the drug spraying particle size, reference spraying particle size, reference moving speed, reference operating height and the 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 the 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), It reflects the influence of drug coverage and spraying particle size on the comprehensive spraying degree: the exponential decay number It reflects 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 influence of moving speed and working height: the ratio of moving speed v and reference moving speed v0 It reflects the influence of the moving speed of the spraying equipment on the comprehensive spraying degree. When the moving speed is high, the drug coverage is uneven, and the comprehensive spraying degree is reduced. The square of the distance between the working height X and the reference working height X0 (X-X0) 2 Affecting the uniformity of spraying drugs, changes in working height will lead to differences in drug distribution. Large height differences will reduce the uniformity of spraying, thereby affecting the determination of the comprehensive spraying degree.

[0103] Through this solution, the drug coverage rate after drug spraying is analyzed through real-time monitoring images to ensure that the drug can be evenly distributed on the surface of the target crop. According to the drug coverage rate, spraying particle size, moving speed, working height and corresponding benchmark parameters, the comprehensive spraying degree is calculated using a formula. This calculation formula takes into account the impact of changes in drug coverage rate and particle size on the spraying effect, and compares the deviation of real-time moving speed and working height from the benchmark value, accurately adjusts the speed and height during the spraying process, and thus optimizes the distribution uniformity and effect of the drug. Through this calculation of the comprehensive spraying degree, the working state of the spraying equipment can be adjusted more accurately, avoiding excessive or insufficient drugs, improving spraying efficiency and the accuracy of crop protection, and helping to ensure the efficiency and environmental protection of the spraying operation.

[0104] Figure 3 A schematic diagram of a drug spraying management system based on GIS technology is provided in one embodiment of the present application. Figure 3 As shown, the medicine spraying management system 300 based on GIS technology 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 geographic location information, and determine the demand information of the intercropping crop for spraying drugs according to the intercropping crop information and the geographic location information;

[0106] The effect information prediction module 302 is used to obtain real-time meteorological information, and predict the real-time effect information of the drug on the intercropping crop according to the real-time meteorological 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 meteorological 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 soil adsorption of 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 the first leaf contour of the first crop, the first leaf area of ​​the first crop, the second leaf area of ​​the second crop, the second leaf contour of the second crop, the second leaf position of the second crop, and the first leaf position of the first crop according to the real-time monitoring image; determine whether the first leaf contour and the second leaf contour overlap, and if overlap occurs, determine the overlapping area according to the first leaf contour, the first leaf position, the second leaf position, and the second leaf contour; determine 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; determine the leaf spraying area of ​​the first crop according to the first leaf bending degree, the second leaf bending degree, and the overlapping area; determine the first drug demand of the first crop for spraying drugs according to the first disease and insect pest degree, the leaf spraying area, and the first growth trend; determine the first drug resistance of the first crop according to the first crop type and the spraying drug type; determine the first spraying demand according to the adsorption degree, the first drug demand, and the first drug resistance.

[0110] Optionally, the demand information determination module 301 is specifically used to:

[0111] The first spraying requirement is determined according to 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, P1 represents the first spraying requirement, D1 represents the first drug requirement, A s represents the adsorption degree, R1 represents the first drug resistance, and S represents the leaf spraying area.

[0114] Optionally, the demand information determination module 301 is specifically used to: determine the altitude pest and disease degree and altitude leaf area of ​​the first crop at the height of the first crop according to the real-time monitoring image; determine the altitude drug demand at the height of the first crop according to the altitude pest and disease degree and the altitude leaf area; determine the drug acceptance degree of the first crop at the height of the first crop according to the first crop type and the altitude drug demand; determine the effect degree of spraying drugs on the first crop according to the first crop type, the adsorption degree and the drug acceptance degree; determine whether the second crop is affected by the spraying drug type at the height of the first crop according to the second crop type and the real-time monitoring image; if affected, determine whether the spraying drug type has an impact on the second crop in the soil, and if affected, determine the drug impact degree of the second crop by the spraying drug according to the second crop type, the spraying drug type and the adsorption degree; and incorporate the drug impact degree and the action degree into the demand information.

[0115] Optionally, the role information determination module 302 is specifically configured to:

[0116] Determining the volatilization sensitivity of the sprayed medicine according to the standard stability, the real-time ambient temperature and the real-time atmospheric pressure;

[0117] According to the real-time light intensity, the volatility sensitivity, the standard stability, the real-time ambient temperature, the altitude and the first spraying requirement, the real-time action time of the spraying drug on the first crop is determined and calculated according to the following formula:

[0118]

[0119] Wherein, T represents the real-time action time, D represents the first spraying demand, S0 represents the standard stability, α represents the preset light intensity coefficient, β represents the preset temperature influence coefficient, T e represents the real-time ambient temperature, γ represents the volatility sensitivity, p0 represents the standard sea level pressure, L represents the standard temperature gradient, H represents the altitude, T0 represents the standard sea level temperature, M represents the standard air molecular mass, and R 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, according to the real-time monitoring image, a density of hairs on the surface of leaves of the first crop in the first growth state;

[0124] Determining the drug stability of the sprayed drug 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 according to the hair density, the stomata opening, 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] Wherein, W represents the real-time action intensity, A represents the pore opening degree, Q represents the real-time environmental humidity, B represents the hair density, S represents the drug stability, F represents the real-time wind speed, H represents the altitude, G represents the real-time atmospheric pressure, K represents the preset type adjustment coefficient, and P represents the preset type influence coefficient;

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

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

[0130] Determining the terrain undulation and the distance between the first crop and the second crop according to the real-time monitoring image;

[0131] The moving speed of the spraying equipment is determined according to 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] Wherein, v represents the moving speed, w represents the spraying width, t represents the terrain undulation, F represents the real-time wind speed, T represents the real-time action time, and D b 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, which is specifically used to:

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

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

[0138]

[0139] Wherein, E represents the comprehensive spraying degree, C f represents the drug coverage, D y represents the spraying particle size, D0 represents the reference spraying particle size, v represents the moving speed, v0 represents the reference moving speed, X represents the working height, and X0 represents the reference working height.

[0140] The system of this embodiment can be used to execute the method of any of the above embodiments. The 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: Acquire intercropping crop information and geographic location information, and determine intercropping crop 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 the drug on the intercropping crops according to the real-time meteorological information, the geographical location information and the demand information; Acquire spraying equipment information, determine drug spraying information based on the real-time action information, the real-time meteorological information and the spraying equipment information, and spray the intercrops based on the spraying information.

2. The method according to claim 1, characterized in that The geographical location information includes the location of the crop, and the determination of the demand information of the intercropping crop for spraying drugs based on the intercropping crop information and the geographical location information includes: Acquire a real-time monitoring image of the intercropping crop, and determine whether the crop infested with pests and diseases is the first crop based on the real-time monitoring image; If the crop infested with pests and diseases is the first crop, determining the first pest and disease degree, the first pest and disease type, and the first growth trend of the first crop according to the real-time monitoring image; Determining the type of spraying medicine for the first crop according to the first pest and disease type; Acquire spraying drug information corresponding to the spraying drug type, and determine the drug solubility according to the spraying drug information; Determine whether the sprayed drug type has an impact on the first pest type in the soil, and if so, determine the soil density and soil particle diameter according to the location of the crop; Determining the degree of adsorption of the sprayed drug type by the soil according to the soil density, the drug solubility and the soil particle diameter; Determining a first spraying requirement of the first crop for spraying medicine according to the first pest and disease degree, the first growth trend and the adsorption degree; The first spraying requirement is incorporated into the requirement information.

3. The method according to claim 2, characterized in that The intercropping crop information includes a first crop type, and determining a first spraying requirement of the first crop for spraying medicine according to the first pest and disease degree, the first growth trend and the adsorption degree includes: Determining, according to 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 blade contour and the second blade contour overlap, and if so, determine an overlapping area according to 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 drug demand for spraying the first crop according to the first pest and disease degree, 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; The first spraying requirement is determined according to the adsorption degree, the first drug requirement and the first drug resistance.

4. The method according to claim 3, characterized in that The first spraying requirement is determined according to the adsorption degree, the first drug requirement and the first drug resistance, and is calculated according to the following formula: Wherein, P1 represents the first spraying requirement, D1 represents the first drug requirement, A s represents the adsorption degree, R1 represents the first drug resistance, and S represents the leaf spraying area.

5. The method according to claim 4, characterized in that The intercropping crop information includes the second crop type and the first crop height, and determining the intercropping crop demand information for spraying drugs based on the intercropping crop information and the geographical location information includes: determining, based on the real-time monitoring image, a height pest and disease degree and a height leaf area of ​​the first crop at the height of the first crop; Determining the 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 the drug acceptance degree of the first crop at the first crop height according to the first crop type and the drug demand at the height; Determining the degree of effect of spraying the 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; if so, determining the impact of the sprayed drug on the second crop according to 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.

6. The method according to claim 5, 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; According to the real-time light intensity, the volatility sensitivity, the standard stability, the real-time ambient temperature, the altitude and the first spraying requirement, the real-time action time of the spraying drug on the first crop is determined and calculated according to the following formula: Wherein, T represents the real-time action time, D represents the first spraying demand, S0 represents the standard stability, α represents the preset light intensity coefficient, β represents the preset temperature influence coefficient, T e represents the real-time ambient temperature, γ represents the volatility sensitivity, p0 represents the standard sea level pressure, L represents the standard temperature gradient, H represents the altitude, T0 represents the standard sea level temperature, M represents the standard air molecular mass, and R represents the standard gas constant; The real-time action time is incorporated into the real-time action information.

7. The method according to claim 6, characterized in that The real-time meteorological information includes real-time wind speed and real-time environmental humidity. 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 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, according to the real-time monitoring image, a hair density on the surface of leaves of the first crop in the first growth state; Determining the drug stability of the sprayed drug 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 according to the hair density, the stomata opening, 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: Wherein, W represents the real-time action intensity, A represents the pore opening degree, Q represents the real-time environmental humidity, B represents the hair density, S represents the drug stability, F represents the real-time wind speed, H represents the altitude, G represents the real-time atmospheric pressure, K represents the preset type adjustment coefficient, and P represents the preset type influence coefficient; The real-time action intensity is incorporated into the real-time action information.

8. The method according to claim 7, characterized in that The spraying equipment information includes a spraying width, and the spraying information of the drug is determined according to the real-time action information, the real-time meteorological information and the spraying equipment information, including: Determining the terrain undulation and the distance between the first crop and the second crop according to the real-time monitoring image; The moving speed of the spraying equipment is determined according to 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: Wherein, v represents the moving speed, w represents the spraying width, t represents the terrain undulation, F represents the real-time wind speed, T represents the real-time action time, and D b Indicates the separation distance; The moving speed is incorporated into the spraying information.

9. The method according to claim 8, characterized in that The spraying equipment information includes the drug spraying particle size, the reference spraying particle size, the reference moving speed, the reference operating height and the operating height of the spraying equipment. After the drug spraying information is determined according to the real-time action information, the real-time meteorological information and the spraying equipment information, the method further includes: Determining the drug coverage after drug spraying according to the real-time monitoring image; According to the drug coverage rate, the drug spraying particle size, the moving speed, the working height, the reference spraying particle size, the reference moving speed and the reference working height, the comprehensive spraying degree of the sprayed drug is determined and calculated according to the following formula: Wherein, E represents the comprehensive spraying degree, C f represents the drug coverage, D y represents the spraying particle size, D0 represents the reference spraying particle size, v represents the moving speed, v0 represents the reference moving speed, X represents the working height, and X0 represents the reference working height.

10. A drug spraying management system based on GIS technology, characterized in that: include: A demand information determination module is used to obtain intercropping crop information and geographic location information, and determine the demand information of the intercropping crop for spraying drugs based on the intercropping crop information and the geographic location information; An action information prediction module is used to obtain real-time meteorological information, and predict the real-time action information of the drug on the intercropping crop according to 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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