Aircraft control method and control system based on image recognition

Abstract

The invention discloses an aircraft control method and system based on image recognition. The method comprises the following steps: acquiring a target crop area photo corresponding to a target crop area; according to the target crop region picture, identifying a target crop and a target crop pest and disease damage type which correspondingly grow in the target crop region; calculating a target crop pesticide sprayed to the target crop area according to the target crop and the target crop pest and disease damage type; obtaining a target pesticide spraying safety distance between the target residential building area and the target crop area; and spraying the target crop pesticide to the target crop area according to the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide. According to the type, the concentration and the spraying amount of the pesticide, when resident houses exist around crops, it can be guaranteed that the sprayed pesticide cannot drift away into the resident houses, and the life of residents cannot be affected.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned aerial vehicle flight control, and particularly to an aircraft control method and control system based on image recognition. Background Art

[0002] At present, unmanned aerial vehicles have been widely used in the agricultural field. Among them, the pesticide spraying unmanned aerial vehicle, also known as the plant protection unmanned aerial vehicle, is an unmanned aircraft used for agricultural and forestry plant protection operations. It can achieve spraying operations through ground remote control or navigation flight control, and can spray agents, seeds, powders, etc. The pesticide spraying unmanned aerial vehicle has the advantages of low operation height, less drift, being able to hover in the air, and not requiring a dedicated takeoff and landing airport. The spraying operation personnel are avoided from the danger of exposure to pesticides, and the safety of spraying operations is improved, etc. Many advantages have greatly reduced the resource cost. Due to the small size, light weight, convenient transportation, vertical takeoff and landing, and flexible flight control of agricultural unmanned aerial vehicles, they have good adaptability to different regions, different plots, and different crops. However, when the plant protection unmanned aerial vehicle sprays pesticides on crops, it often sprays directly without distinguishing the type, concentration, and spraying amount of pesticides. When there are residential houses around the crops, it cannot ensure that the sprayed pesticides will not drift into the residents' homes. When the pesticides drift into the residents' homes, it will not only make the residents feel extremely smelly, but also poison the residents, seriously affecting the residents' lives. How to make the plant protection unmanned aerial vehicle spray pesticides on crops scientifically without affecting the lives of the surrounding residents has become an urgent problem to be solved. Summary of the Invention

[0003] Based on this, it is necessary to propose an aircraft control system based on image recognition for the above problems to solve the following problems of the prior art: when the plant protection unmanned aerial vehicle sprays pesticides on crops, it often sprays directly without distinguishing the type, concentration, and spraying amount of pesticides. When there are residential houses around the crops, it cannot ensure that the sprayed pesticides will not drift into the residents' homes, seriously affecting the residents' lives.

[0004] The first technical solution of the embodiment of the present invention is as follows:

[0005] An aircraft control method based on image recognition, which is used for a plant protection unmanned aerial vehicle to spray pesticides on crops in a specified area, includes: when the target plant protection unmanned aerial vehicle stably hovers over the target crop area to be sprayed with pesticides, obtaining a target crop area photo corresponding to the target crop area; according to the target crop area photo, using a target data recognition device carried by the target plant protection unmanned aerial vehicle to identify the target crops growing in the target crop area and the types of target crop pests and diseases corresponding to the target crops; according to the target crops and the types of target crop pests and diseases, using a target data processing device carried by the target plant protection unmanned aerial vehicle to calculate the target crop pesticides to be sprayed on the target crop area; obtaining a target pesticide spraying safety distance between the target residential building area and the target crop area, where the target residential building area is the residential area corresponding to the surrounding of the target crop area; and spraying the target crop pesticides on the target crop area according to the target pesticide spraying safety distance, the target crop pesticides and the target spraying pesticide concentration corresponding to the target crop pesticides.

[0006] The second technical solution of the embodiment of the present invention is:

[0007] An aircraft control system based on image recognition, which is used for a plant protection unmanned aerial vehicle to spray pesticides on crops in a specified area, includes: a crop photo acquisition module, which is used to obtain a target crop area photo corresponding to the target crop area when the target plant protection unmanned aerial vehicle stably hovers over the target crop area to be sprayed with pesticides; a crop photo recognition module, which is used to identify the target crops growing in the target crop area and the types of target crop pests and diseases corresponding to the target crops according to the target crop area photo by using a target data recognition device carried by the target plant protection unmanned aerial vehicle; a crop pesticide determination module, which is used to calculate the target crop pesticides to be sprayed on the target crop area according to the target crops and the types of target crop pests and diseases by using a target data processing device carried by the target plant protection unmanned aerial vehicle; a safety distance acquisition module, which is used to obtain a target pesticide spraying safety distance between the target residential building area and the target crop area, where the target residential building area is the residential area corresponding to the surrounding of the target crop area; and a crop pesticide spraying module, which is used to spray the target crop pesticides on the target crop area according to the target pesticide spraying safety distance, the target crop pesticides and the target spraying pesticide concentration corresponding to the target crop pesticides.

[0008] The third technical solution of the embodiment of the present invention is:

[0009] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps:

[0010] When the target plant protection UAV stably hovers over the target crop area to be sprayed with pesticides, a target crop area photo corresponding to the target crop area is obtained; based on the target crop area photo, the target crop corresponding to the target crop area and the target crop disease and insect pest type corresponding to the target crop are identified using the target data identification device carried by the target plant protection UAV; based on the target crop and the target crop disease and insect pest type, the target crop pesticide sprayed to the target crop area is calculated using the target data processing device carried by the target plant protection UAV; a target pesticide spraying safety distance between a target residential building area and the target crop area is obtained, wherein the target residential building area is a residential area corresponding to the surrounding of the target crop area; based on the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide, the target crop pesticide is sprayed to the target crop area.

[0011] The fourth technical solution of the embodiment of the present invention is:

[0012] A computer-readable storage medium stores a computer program, which, when executed by a processor, causes the processor to perform the following steps:

[0013] When the target plant protection UAV stably hovers over the target crop area to be sprayed with pesticides, a target crop area photo corresponding to the target crop area is obtained; based on the target crop area photo, the target crop corresponding to the target crop area and the target crop disease and insect pest type corresponding to the target crop are identified using the target data identification device carried by the target plant protection UAV; based on the target crop and the target crop disease and insect pest type, the target crop pesticide sprayed to the target crop area is calculated using the target data processing device carried by the target plant protection UAV; a target pesticide spraying safety distance between a target residential building area and the target crop area is obtained, wherein the target residential building area is a residential area corresponding to the surrounding of the target crop area; based on the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide, the target crop pesticide is sprayed to the target crop area.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] The present invention first obtains a target crop area photo corresponding to the target crop area, and based on the target crop area photo, uses a target data recognition device carried by the target plant protection drone to identify the target crops growing in the target crop area and the types of target crop pests and diseases corresponding to the target crops; secondly, according to the target crops and the types of target crop pests and diseases, uses a target data processing device carried by the target plant protection drone to calculate the target crop pesticides to be sprayed on the target crop area; secondly, obtains the target pesticide spraying safety distance between the target residential building area and the target crop area; finally, sprays the target crop pesticides on the target crop area according to the target pesticide spraying safety distance, the target crop pesticides and the target spraying pesticide concentration corresponding to the target crop pesticides, and can ensure that the sprayed pesticides will not drift into the homes of residents when there are residential houses around the crops according to the type, concentration and spraying amount of the pesticides, without affecting the lives of residents. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0017] Wherein:

[0018] Figure 1 is a flowchart of an implementation manner of an aircraft control method based on image recognition in an embodiment;

[0019] Figure 2 is a framework structure diagram of an implementation manner of an aircraft control system based on image recognition in an embodiment;

[0020] Figure 3 is a structural block diagram of a computer device in an implementation manner in an embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0022] Please refer to Figure 1 , in combination with Figure 1It can be obtained that an aircraft control method based on image recognition in an embodiment of the present invention, which is used for a plant protection UAV to spray pesticides on crops in a designated area, includes the following steps:

[0023] Step S101: when the target crop protection UAV stably hovers over the target crop area to be sprayed with pesticides, a target crop area photo corresponding to the target crop area is obtained.

[0024] Among them, the target crop area photo is taken downward when the target plant protection drone is stably hovering above the target crop area to be sprayed with pesticides. Only when the target plant protection drone is in a stably hovering state can the taken photos be clear and the type of crops can be identified through the photos.

[0025] Step S102: Based on the target crop area photo, the target crop growing in the target crop area and the target crop pest type corresponding to the target crop are identified using the target data identification device of the target plant protection UAV.

[0026] Among them, identifying the target crops growing in the target crop area means identifying what specific crops grow in the target crop area, that is, the name and type of the crop must be identifiable. Among them, the target crop pest type is identified by identifying the appearance of pests and diseases in the photo of the target crop area, and then identifying the target crop pest and disease type corresponding to the pest and disease.

[0027] Step S103: according to the target crops and the types of the target crop diseases and insect pests, the target crop pesticides to be sprayed on the target crop area are calculated using the target data processing device of the target plant protection UAV.

[0028] Among them, calculating the target crop pesticide sprayed on the target crop area refers to obtaining the pesticide matching the target crop, more specifically, obtaining the pesticide matching the target crop pest type, that is, what kind of pesticide is used to spray the target crop. Only the pesticide matching the target crop pest type can kill the pests on the target crop and allow the crop to grow healthily.

[0029] Step S104: obtaining a target pesticide spraying safety distance between a target residential building area and the target crop area, wherein the target residential building area is a residential area corresponding to the surrounding of the target crop area.

[0030] Among them, after spraying pesticides in the target crop area, the pesticides will evaporate and drift around. The farther the pesticides with high concentration and large amount are sprayed, the longer the distance they drift around, and the longer the odor of the pesticides will last. The volatilized pesticides will drift into the homes of residents, seriously poisoning and affecting the normal lives of residents. Therefore, it is necessary to obtain the target pesticide spraying safety distance between the target residential building area and the target crop area. Within the target pesticide spraying safety distance, spraying pesticides of a certain concentration and amount will not drift to the target residential building area, and residents will not smell the pesticides, and there will be no pesticide residues in the residents' homes, which ensures the health of residents and does not affect their normal lives.

[0031] Step S105: spraying the target crop pesticide on the target crop area according to the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide.

[0032] Among them, this step sprays the target crop pesticide on the target crop area under the determined pesticide type (i.e., the target crop pesticide), pesticide spraying concentration (i.e., the target spraying pesticide concentration) and safety distance (i.e., the target pesticide spraying safety distance), thereby ensuring that the pesticide will not drift to the target residential building area.

[0033] In this embodiment, optionally, spraying the target crop pesticide to the target crop area according to the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide includes:

[0034] First, according to the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration, the target pesticide spraying amount corresponding to the target crop pesticide is calculated using the target data processing device of the target plant protection UAV; wherein, the target crop pesticide is sprayed on the target crop area with the target pesticide spraying amount, and the radius distance of the target crop pesticide drifting to the surrounding area is less than the target pesticide spraying safety distance.

[0035] Among them, the amount of pesticide sprayed directly determines the distance that the pesticide drifts around. The target pesticide spraying amount is the amount of the target crop pesticide used to complete one spraying. Within the spraying amount range of the target pesticide spraying amount, the radius distance that the target crop pesticide drifts around can be made smaller than the target pesticide spraying safety distance.

[0036] Second, according to the target pesticide spraying amount, and in combination with the target data monitoring device provided by the target plant protection UAV, the target crop pesticide is sprayed on the target crop area.

[0037] Among them, spraying the target crop pesticide on the target crop area by combining with the target data monitoring device carried by the target plant protection UAV means using the target data monitoring device to monitor the spraying amount of the target crop pesticide to ensure that the spraying amount of the pesticide does not exceed the target pesticide spraying amount.

[0038] In this embodiment, optionally, spraying the target crop pesticide on the target crop area according to the target pesticide spraying amount and by combining with the target data monitoring device carried by the target plant protection UAV includes:

[0039] First, according to the target pesticide spraying amount and the target spraying pesticide concentration, use the target data processing device carried by the target plant protection UAV to calculate the target pesticide spraying speed corresponding to the target plant protection UAV.

[0040] Among them, when the spraying amount (the target pesticide spraying amount) is certain, the spraying speed determines the spraying duration, and as long as the pesticide spraying time is monitored well, the spraying amount of the pesticide can be controlled well.

[0041] Second, according to the target pesticide spraying speed and the target pesticide spraying amount, calculate the target pesticide spraying duration, target flight height and target horizontal flight speed corresponding to the target plant protection UAV.

[0042] Among them, in this step, the target flight height and the target horizontal flight speed corresponding to the target plant protection UAV need to be controlled well because the target flight height and the target horizontal flight speed have a greater impact on the pesticide spraying effect, and the specific flight height and flight speed are not limited in this step.

[0043] Third, spray the target crop pesticide on the target crop area according to the target pesticide spraying speed, the target flight height and the target horizontal flight speed, and use the target data monitoring device to monitor the pesticide spraying duration of the target plant protection UAV. When the pesticide spraying duration of the target plant protection UAV is equal to the target pesticide spraying duration, use the target control system carried by the target plant protection UAV to control the target plant protection UAV to stop spraying the pesticide and stop monitoring the pesticide spraying duration of the target plant protection UAV.

[0044] Among them, in this step, the target data monitoring device is also used to monitor the target flight height and the target horizontal flight speed of the target plant protection UAV, and always monitor and adjust the target flight height and the target horizontal flight speed of the target plant protection UAV during the pesticide spraying process to ensure the smooth progress of the spraying process.

[0045] In this embodiment, optionally, after spraying the target crop pesticide on the target crop area according to the target pesticide spraying amount and in combination with using the target data monitoring device carried by the target plant protection unmanned aerial vehicle (UAV), the following steps are included:

[0046] First, use the target data processing device carried by the target plant protection UAV to calculate the target actual pesticide demand that the target crop area actually needs to be sprayed.

[0047] Second, determine whether the target actual pesticide demand is greater than the target pesticide spraying amount.

[0048] Third, if the target actual pesticide demand is greater than the target pesticide spraying amount, then after the first pesticide spraying is completed, control the target plant protection UAV to spray the target crop pesticide on the target crop area again after a target preset interval, and the pesticide spraying amount does not exceed the target pesticide spraying amount.

[0049] Wherein, if the target actual pesticide demand is less than the target pesticide spraying amount, spray the target crop pesticide on the target crop area according to the target actual pesticide demand.

[0050] In this embodiment, optionally, the obtaining of the target pesticide spraying safety distance between the target residential building area and the target crop area includes:

[0051] First, obtain a pre-stored corresponding table of target crop areas and residential areas in the target database, where each crop area in the corresponding table of target crop areas and residential areas corresponds one-to-one with the nearest residential area.

[0052] Wherein, the corresponding table of target crop areas and residential areas pre-stored in the target database is a pre-made geographical coordinate corresponding relationship diagram of crop areas and the nearest residential areas. Knowing the geographical coordinates of a crop area, the geographical coordinates of its corresponding residential area can be found.

[0053] Second, retrieve the target crop area in the corresponding table of target crop areas and residential areas, and then obtain the target residential area that matches the target crop area.

[0054] Third, take the straight-line distance between the target crop area and the target residential area as the target pesticide spraying safety distance.

[0055] Wherein, the straight-line distance between the target crop area and the target residential area is pre-stored in the target database.

[0056] In this embodiment, optionally, obtaining the target pesticide spraying safety distance between the target residential building area and the target crop area includes:

[0057] First, use the target radar device carried by the target plant protection UAV to detect the surroundings of the target crop area, and determine whether there is a target detection building around the target crop area.

[0058] Among them, the target radar device in this step detects the surroundings of the target crop area according to the general radar test distance principle.

[0059] Second, if there is a target detection building around the target crop area, take the area of the target detection building as the target residential building area, and calculate the target pesticide spraying safety distance between the target residential building area and the target crop area through the target radar device.

[0060] Among them, as long as there is a target detection building around the target crop area, it is regarded as a residence.

[0061] In this embodiment, optionally, according to the photo of the target crop area, using the target data recognition device carried by the target plant protection UAV to identify the target crops growing in the target crop area and the target crop pest and disease types corresponding to the target crops includes:

[0062] First, use the target data recognition device carried by the target plant protection UAV to compare the photo of the target crop area with the target historical crop photos pre-stored in the target database, and obtain target historical similar crop photos with a similarity greater than the target preset similarity threshold to the photo of the target crop area.

[0063] Second, according to the target historical similar crop photos, obtain the target crops growing in the target crop area and the target crop pest and disease types corresponding to the target crops; among them, the target historical similar crop photos are marked with the corresponding crop names and crop pest and disease types.

[0064] Among them, for the same kind of crop, its current photo and historical photo are very similar. By comparing the photo of the target crop area with the target historical crop photos pre-stored in the target database, it is completely possible to identify the target crops growing in the target crop area and the target crop pest and disease types corresponding to the target crops.

[0065] Please refer to Figure 2 , in combination withFigure 2 It can be obtained that an aircraft control system 100 based on image recognition according to an embodiment of the present invention is used for a plant protection UAV to spray pesticides on crops in a designated area, and includes:

[0066] The crop photo acquisition module 10 is used to acquire a target crop area photo corresponding to the target crop area when the target plant protection UAV stably hovers over the target crop area to be sprayed with pesticides.

[0067] The crop photo recognition module 20 is used to identify the target crops growing in the target crop area and the target crop pest types corresponding to the target crops based on the target crop area photo using the target data recognition device of the target plant protection drone.

[0068] The crop pesticide determination module 30 is used to calculate the target crop pesticide to be sprayed on the target crop area according to the target crop and the type of the target crop pest and disease using the target data processing device of the target plant protection UAV.

[0069] The safety distance acquisition module 40 is used to acquire a target pesticide spraying safety distance between a target residential building area and the target crop area, wherein the target residential building area is a residential area corresponding to the target crop area.

[0070] The crop pesticide spraying module 50 is used to spray the target crop pesticide to the target crop area according to the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide.

[0071] Figure 3 FIG. 1 shows an internal structure diagram of a computer device in an embodiment. The computer device may be a terminal or a server. Figure 3 As shown, the computer device includes a processor, a memory and a network interface connected via a system bus. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor may implement the above-mentioned aircraft control method based on image recognition. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor may implement the above-mentioned aircraft control method based on image recognition. Those skilled in the art will understand that Figure 3The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0072] In another embodiment, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps:

[0073] When the target plant protection UAV stably hovers over the target crop area to be sprayed with pesticides, a target crop area photo corresponding to the target crop area is obtained; based on the target crop area photo, the target crop corresponding to the target crop area and the target crop disease and insect pest type corresponding to the target crop are identified using the target data identification device carried by the target plant protection UAV; based on the target crop and the target crop disease and insect pest type, the target crop pesticide sprayed to the target crop area is calculated using the target data processing device carried by the target plant protection UAV; a target pesticide spraying safety distance between a target residential building area and the target crop area is obtained, wherein the target residential building area is a residential area corresponding to the surrounding of the target crop area; based on the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide, the target crop pesticide is sprayed to the target crop area.

[0074] In another embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the processor performs the following steps:

[0075] When the target plant protection UAV stably hovers over the target crop area to be sprayed with pesticides, a target crop area photo corresponding to the target crop area is obtained; based on the target crop area photo, the target crop corresponding to the target crop area and the target crop disease and insect pest type corresponding to the target crop are identified using the target data identification device carried by the target plant protection UAV; based on the target crop and the target crop disease and insect pest type, the target crop pesticide sprayed to the target crop area is calculated using the target data processing device carried by the target plant protection UAV; a target pesticide spraying safety distance between a target residential building area and the target crop area is obtained, wherein the target residential building area is a residential area corresponding to the surrounding of the target crop area; based on the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide, the target crop pesticide is sprayed to the target crop area.

[0076] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0077] The embodiment of the present invention first obtains a target crop area photo corresponding to the target crop area, and uses the target data identification device of the target plant protection drone to identify the target crops corresponding to the target crop area and the target crop pest type corresponding to the target crop according to the target crop area photo; secondly, according to the target crop and the target crop pest type, the target crop pesticide sprayed to the target crop area is calculated using the target data processing device of the target plant protection drone; secondly, the target pesticide spraying safety distance between the target residential building area and the target crop area is obtained; finally, according to the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide, the target crop pesticide is sprayed to the target crop area, and according to the type, concentration and spraying amount of the pesticide, when there are residential houses around the crops, it can be ensured that the sprayed pesticide will not drift to the residents' homes and will not affect the residents' lives.

[0078] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0079] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An aircraft control method based on image recognition, characterized in that: Used for plant protection drones to spray pesticides on crops in designated areas, including: When the target crop protection UAV stably hovers over the target crop area to be sprayed with pesticides, a target crop area photo corresponding to the target crop area is obtained; According to the target crop area photo, the target crop growing in the target crop area and the target crop pest and disease type corresponding to the target crop are identified using the target data identification device of the target plant protection drone; According to the target crops and the types of the target crop pests and diseases, the target crop pesticides to be sprayed on the target crop area are calculated using the target data processing device of the target plant protection drone; Obtaining a target pesticide spraying safety distance between a target residential building area and the target crop area, wherein the target residential building area is a residential area corresponding to the target crop area; The target crop pesticide is sprayed on the target crop area according to the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide.

2. The aircraft control method based on image recognition according to claim 1, characterized in that: The method of spraying the target crop pesticide on the target crop area according to the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide includes: According to the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration, the target pesticide spraying amount corresponding to the target crop pesticide is calculated using the target data processing device of the target plant protection UAV; wherein the target crop pesticide is sprayed on the target crop area with the target pesticide spraying amount, and the radius distance of the target crop pesticide drifting to the surrounding area is less than the target pesticide spraying safety distance; According to the target pesticide spraying amount, and in combination with the target data monitoring device provided by the target plant protection UAV, the target crop pesticide is sprayed on the target crop area.

3. The aircraft control method based on image recognition according to claim 2, characterized in that: The method of spraying the target crop pesticide on the target crop area according to the target pesticide spraying amount and in combination with the target data monitoring device of the target plant protection drone includes: According to the target pesticide spraying amount and the target spraying pesticide concentration, the target pesticide spraying speed corresponding to the target plant protection drone is calculated using the target data processing device carried by the target plant protection drone; Calculate the target pesticide spraying time, target flight altitude and target horizontal flight speed corresponding to the target plant protection UAV according to the target pesticide spraying speed and the target pesticide spraying amount; According to the target pesticide spraying speed, the target flight altitude and the target horizontal flight speed, the target crop pesticide is sprayed on the target crop area, and the target data monitoring device is used to monitor the pesticide spraying duration of the target plant protection UAV. When the pesticide spraying duration of the target plant protection UAV is equal to the target pesticide spraying duration, the target control system of the target plant protection UAV is used to control the target plant protection UAV to stop spraying pesticides, and stop monitoring the pesticide spraying duration of the target plant protection UAV.

4. The aircraft control method based on image recognition according to claim 2, characterized in that: The method of spraying the target crop pesticide on the target crop area according to the target pesticide spraying amount and in combination with the target data monitoring device of the target plant protection UAV includes: Using the target data processing device of the target plant protection UAV to calculate the target actual pesticide demand that needs to be sprayed in the target crop area; Determining whether the target actual pesticide demand is greater than the target pesticide spraying amount; If so, after the first pesticide spraying is completed, the target crop protection drone is controlled again to spray the target crop pesticide on the target crop area after a target preset interval, and the pesticide spraying amount does not exceed the target pesticide spraying amount.

5. The aircraft control method based on image recognition according to claim 1, characterized in that: The step of obtaining a target pesticide spraying safety distance between a target residential building area and a target crop area includes: Acquire a pre-stored correspondence table of target crop areas and residential areas in a target database, wherein each crop area in the correspondence table of target crop areas and residential areas corresponds to the residential area closest to it one by one; Retrieving the target crop area from the target crop area and residential area correspondence table, and then obtaining the target residential area matching the target crop area; The straight-line distance between the target crop area and the target residential area is used as the target pesticide spraying safety distance.

6. The aircraft control method based on image recognition according to claim 1, characterized in that: The step of obtaining a target pesticide spraying safety distance between a target residential building area and a target crop area includes: Use the target radar device of the target plant protection UAV to detect the surroundings of the target crop area to determine whether there are target detection buildings around the target crop area; If so, the area of ​​the target detection building is used as the target residential building area, and the target pesticide spraying safety distance between the target residential building area and the target crop area is calculated by the target radar device.

7. The aircraft control method based on image recognition according to claim 1, characterized in that: The target crop growing in the target crop area and the target crop pest and disease type corresponding to the target crop are identified using the target data identification device of the target plant protection drone according to the target crop area photo, including: Using the target data identification device of the target plant protection UAV, the target crop area photo is compared with the target historical crop photos pre-stored in the target database, and the target historical similar crop photos whose similarity with the target crop area photo is greater than the target preset similarity threshold are obtained; According to the target historically similar crop photos, the target crops grown in the target crop area and the target crop pest and disease types corresponding to the target crops are obtained; wherein the target historically similar crop photos are marked with the corresponding crop names and crop pest and disease types.

8. An aircraft control system based on image recognition, characterized in that: Used for plant protection drones to spray pesticides on crops in designated areas, including: The crop photo acquisition module is used to acquire a target crop area photo corresponding to the target crop area when the target plant protection UAV is stably hovering over the target crop area to be sprayed with pesticides; A crop photo recognition module is used to identify the target crops growing in the target crop area and the target crop pest and disease types corresponding to the target crops based on the target crop area photo using the target data recognition device of the target plant protection drone; A crop pesticide determination module is used to calculate the target crop pesticide to be sprayed on the target crop area using the target data processing device of the target plant protection UAV according to the target crop and the type of the target crop pest; A safety distance acquisition module, used to acquire a target pesticide spraying safety distance between a target residential building area and the target crop area, wherein the target residential building area is a residential area corresponding to the target crop area; The crop pesticide spraying module is used to spray the target crop pesticide to the target crop area according to the target pesticide spraying safety distance, the target crop pesticide and the target spraying pesticide concentration corresponding to the target crop pesticide.

9. A computer-readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the processor executes the aircraft control method based on image recognition as described in any one of claims 1 to 7.

10. A computer device, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the aircraft control method based on image recognition as claimed in any one of claims 1 to 7.

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