Operating method of movable platform, movable platform and electronic device

Abstract

A method for operating a movable platform, a movable platform and an electronic device. The method comprises: collecting a multispectral image of a target area through a multispectral camera device to obtain a vegetation index map of the target area, wherein the vegetation index map indicates the vegetation index of several plants in the target area (S101); obtaining a first mapping relationship between vegetation index and plant growth, and a second mapping relationship between plant growth and fertilizer application amount (S102); generating an operation prescription map of the target area according to the vegetation index map and the first mapping relationship and the second mapping relationship; the operation prescription map indicates the fertilizer application amount corresponding to each plant in the target area; and controlling the spreading system of the movable device and the movable platform to operate according to the operation prescription map (S105). The method enables users to use the vegetation index to assist crop management even if they do not understand the meaning of the vegetation index.

Description

Technical Field

[0001] The present application relates to the field of equipment operation, and in particular to an operation method of a movable platform, a movable platform and an electronic device. Background Art

[0002] At present, multispectral images have been widely used in the agricultural field. Multispectral images can be used to obtain vegetation indices and analyze various ecosystems, so that users can manage crops, soil, fertilization and irrigation more effectively. However, ordinary farmers are not familiar with the meaning of vegetation indices, and they cannot know the relationship between vegetation indices and the specific growth conditions of crops, so they cannot make good use of the vegetation indices to assist in crop management. Summary of the invention

[0003] In view of this, one of the objectives of the embodiments of the present application is to provide an operating method of a movable platform, a movable platform and an electronic device.

[0004] First, according to a first aspect of an embodiment of the present application, a method for operating a movable platform is provided, the method comprising:

[0005] Collecting a multispectral image of a target area through a multispectral camera device to obtain a vegetation index map of the target area; the vegetation index map indicates vegetation indexes of several plants in the target area;

[0006] Acquire a first mapping relationship between vegetation index and plant growth, and a second mapping relationship between plant growth and fertilizer application amount;

[0007] Determining the growth potential of a plurality of plants in the target area according to the vegetation index map and the first mapping relationship;

[0008] generating an operation prescription map for the target area according to the growth potential of a plurality of plants in the target area and the second mapping relationship; the operation prescription map indicates the corresponding fertilizer amount for each plant in the target area;

[0009] The spreading system of the movable platform is controlled to perform operations according to the operation prescription map.

[0010] According to a second aspect of an embodiment of the present application, there is provided a movable platform, comprising:

[0011] body;

[0012] A power system, disposed inside the fuselage, for driving the movable platform to move;

[0013] The first processor is disposed inside the body and is used for:

[0014] Collecting a multispectral image of a target area through a multispectral camera device to obtain a vegetation index map of the target area; the vegetation index map indicates vegetation indexes of several plants in the target area;

[0015] Acquire a first mapping relationship between vegetation index and plant growth, and a second mapping relationship between plant growth and fertilizer application amount;

[0016] Determining the growth potential of a plurality of plants in the target area according to the vegetation index map and the first mapping relationship;

[0017] generating an operation prescription map for the target area according to the growth potential of a plurality of plants in the target area and the second mapping relationship; the operation prescription map indicates the corresponding fertilizer amount for each plant in the target area;

[0018] The spreading system of the movable platform is controlled to perform operations according to the operation prescription map.

[0019] According to a third aspect of an embodiment of the present application, there is provided an electronic device, including a communication module, a memory, a second processor, and a computer program stored in the memory and executable on the second processor;

[0020] Wherein, the communication module is used to receive the multispectral image of the target area collected by the multispectral camera device;

[0021] The second processor calls the computer program, and when the computer program is executed, is used to perform the following operations:

[0022] Acquire a vegetation index map of the target area according to the multispectral image;

[0023] Acquire a first mapping relationship between vegetation index and plant growth, and a second mapping relationship between plant growth and fertilizer application amount;

[0024] Generate a work prescription map for the target area according to the first mapping relationship, the second mapping relationship and the vegetation index map;

[0025] The spreading system of the movable platform is controlled to perform the operation according to the operation prescription map. The embodiment of the present application has the following beneficial effects:

[0026] In the embodiment of the present application, even if the user does not understand the meaning of the vegetation index, the user can use the vegetation index to assist crop management based on the first mapping relationship and the mapping relationship, thereby efficiently carrying out operations and further facilitating user use.

[0027] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0029] Figure 1 It is a flow chart of an operating method of a movable platform shown in the present application according to an exemplary embodiment.

[0030] Figure 2 It is a schematic diagram of obtaining target positions of plants with different growth potentials according to an exemplary embodiment of the present application.

[0031] Figure 3 It is a schematic diagram of obtaining the amount of fertilizer to be applied for plants with different growth potentials according to an exemplary embodiment of the present application.

[0032] Figure 4A It is a schematic diagram of the structure of a first movable platform according to an exemplary embodiment of the present application.

[0033] Figure 4B It is a schematic structural diagram of a second movable platform according to an exemplary embodiment of the present application.

[0034] Figure 4C It is a schematic structural diagram of a third movable platform according to an exemplary embodiment of the present application.

[0035] Figure 4D It is a schematic structural diagram of a fourth movable platform according to an exemplary embodiment of the present application.

[0036] Figure 4E It is a schematic structural diagram of a fifth movable platform according to an exemplary embodiment of the present application.

[0037] Figure 5 It is a structural schematic diagram of an unmanned system shown in the present application according to an exemplary embodiment.

[0038] Fig. 6A It is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application.

[0039] Figure 6B It is a schematic structural diagram of another electronic device according to an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only 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.

[0041] In response to the problems in the related art, an embodiment of the present application provides an operation method of a mobile device, which can obtain a first mapping relationship between the vegetation index and the plant growth, and a second mapping relationship between the plant growth and the amount of fertilizer applied, after obtaining the vegetation index map of the target area, and then obtain an operation prescription map of the target area according to the vegetation index map, the first mapping relationship, and the second mapping relationship, so that the operation can be carried out. In this embodiment, the growth of the plants in the target area can be determined directly based on the first mapping relationship between the vegetation index and the plant growth, and the amount of fertilizer applied to the plants in the target area can be determined based on the second mapping relationship between the plant growth and the amount of fertilizer applied, so that the user can use the vegetation index to assist crop management well without understanding the meaning of the vegetation index, so that the user can use the vegetation index to efficiently carry out operations, which is further convenient for users to use.

[0042] Accordingly, see Figure 1 , is a flow chart of an operation method of a movable platform according to an exemplary embodiment of the present application, the method comprising:

[0043] In step S101, a multispectral image of a target area is collected by a multispectral camera device to obtain a vegetation index map of the target area; the vegetation index map indicates vegetation indexes of several plants in the target area.

[0044] In step S102, a first mapping relationship between the vegetation index and the plant growth, and a second mapping relationship between the plant growth and the fertilizer application amount are obtained.

[0045] In step S103, the growth potential of a plurality of plants in the target area is determined according to the vegetation index map and the first mapping relationship.

[0046] In step S104, an operation prescription map of the target area is generated according to the growth trends of several plants in the target area and the second mapping relationship; the operation prescription map indicates the corresponding fertilizer amount for each plant in the target area.

[0047] In step S105, the spreading system of the movable platform is controlled to perform the operation according to the operation prescription map. In one embodiment, the operation mode includes a spreading operation and a fertilizing operation. In addition, the spreading amount and the fertilizing amount of the spreading operation and the fertilizing operation can be adjusted according to the content of the operation prescription map. In one embodiment, the spreading amount and the fertilizing amount of the spreading operation and the fertilizing operation can be adjusted in real time.

[0048] The method can be performed by a movable platform equipped with a multi-spectral camera and a spreading system; or, the method can be performed by a movable platform equipped with a multi-spectral camera, after generating a work prescription map of the target area, the movable platform equipped with the multi-spectral camera controls the movable platform equipped with the spreading system to perform work according to the work prescription map; or, the method can be performed by a movable platform equipped with a spreading system, the movable platform equipped with the spreading system receives a multi-spectral image sent by the movable platform equipped with the multi-spectral camera, and then performs the work method of the movable platform; or, the method can be performed by an electronic device connected to the mobile platform, the electronic device receives a multi-spectral image sent by the movable platform equipped with the multi-spectral camera, and then the terminal device performs the method to generate a work prescription map, and then controls the movable platform equipped with the spreading system to perform work according to the work prescription map. The spreading system supports both solid fertilizer spreading and liquid fertilizer spreading.

[0049] Furthermore, the movable platform includes but is not limited to unmanned aerial vehicles, unmanned vehicles, unmanned ships or mobile robots, and the electronic devices communicatively connected to the movable platform include but are not limited to mobile phones, tablets, computers, personal digital assistants (PDAs) or wearable devices.

[0050] In one embodiment, a multispectral image of a target area can be collected by a multispectral camera device. There are several plants in the target area. The surface of each plant can reflect some of the light it receives. Plants with different surface features reflect or absorb solar radiation in different ways. The multispectral camera device can obtain the corresponding multispectral image according to the characteristics of the plant's reflected light and incident light.

[0051] The multi-spectral camera device includes at least one of the following components: a visible light camera, a red edge camera, a near infrared camera, a blue light camera, a green light camera or a red light camera. The visible light camera is used to obtain RGB images of several plants in the target area, the red edge camera is used to obtain images of several plants in the target area in the infrared spectrum band, the near infrared camera is used to obtain images of several plants in the target area in the near infrared spectrum band, the blue light camera is used to obtain images of several plants in the target area in the blue spectrum band, the green light camera is used to obtain images of several plants in the target area in the green spectrum band, and the red light camera is used to obtain images of several plants in the target area in the red spectrum band. It can be seen that multi-spectral imaging technology can use green, red, blue, infrared or near infrared to capture visible and invisible images of crops and vegetation. The health status of soil and crops observed with the naked eye is very limited, while multi-spectral images can see more than farmers' naked eyes, and play an important role in evaluating soil productivity and analyzing plant health.

[0052] After acquiring the multispectral image, the mobile platform (when the mobile platform is the execution subject) or the electronic device connected to the mobile platform in communication (when the electronic device is the execution subject) can acquire one or more vegetation index maps according to the multispectral image, and the multispectral image reflects the reflection and absorption of light by several plants in the target area, that is, the multispectral image reflects the spectral characteristics of several plants in the target area. Then, the mobile platform or the electronic device can combine the visible light and near-infrared bands according to the spectral characteristics of several plants in the target area to form various vegetation indices, and generate corresponding vegetation index maps based on various vegetation indices, that is, the vegetation index map indicates the vegetation index of several plants in the target area. In this embodiment, the vegetation index can be used to measure the surface vegetation conditions in a simple, effective and empirical manner.

[0053] In one example, the vegetation index pointed to by the vegetation index map includes, but is not limited to, normalized vegetation index, normalized difference red edge index, green channel vegetation index, ratio vegetation index, difference vegetation index, atmospheric impedance vegetation index, soil conditioned vegetation index or enhanced vegetation index, etc. It should be noted that the above is only an example of vegetation index and does not constitute a limitation on vegetation index.

[0054] It is understandable that a vegetation index map may be generated according to one vegetation index, or a vegetation index map may be generated by fusing multiple vegetation indices, and the embodiment of the present application does not impose any limitation on this.

[0055] In this embodiment, after obtaining the vegetation index map of the target area, the growth of several plants in the target area can be determined directly based on the first mapping relationship between the obtained vegetation index and the plant growth and the vegetation index map, and the fertilizer amount corresponding to each plant in the target area can be determined based on the second mapping relationship between the plant growth and the fertilizer amount and the growth of several plants in the target area, and an operation prescription map for the target area is generated to guide the sowing system to operate. In this embodiment, even if the user does not understand the meaning of the vegetation index, the user can use the vegetation index based on the first mapping relationship and the second mapping relationship to assist crop management, so that the user can use the vegetation index to efficiently carry out operations, which is further convenient for users.

[0056] In some embodiments, plant growth can be reflected by the nitrogen content of the plant. In the related art, after obtaining the vegetation index map based on the multispectral image, the nitrogen content of the plant needs to be measured in detail in the laboratory for the plant growth situation, so that the vegetation index and the plant growth (nitrogen content) can be mapped. However, most users do not have the conditions for chemical measurement in the laboratory, and it is difficult to map the vegetation index and the plant growth (nitrogen content) through chemical measurement methods during field operations.

[0057] In the embodiment of the present application, the first mapping relationship between the vegetation index and the plant growth can be obtained in the following manner: the user can specify at least two different growths of the plant, so that the movable platform or the electronic device can determine at least two different growths of the plant, and obtain the target position of the plant of each growth in the target area, and then obtain the vegetation index value pointed to by the target position in the vegetation index map, and finally generate the first mapping relationship between the vegetation index and the plant growth according to the at least two different growths of the plant and the vegetation index value corresponding to each growth. In this embodiment, the user only needs to specify the different growths of the plant based on his or her own agronomic knowledge, such as specifying plants with good growth, plants with medium growth, and plants with poor growth. The movable platform or the electronic device establishes the first mapping relationship between the vegetation index and the plant growth based on the determined positions of at least two different growths of the plant and the obtained vegetation index map, thereby realizing the use of vegetation index to well assist crop management and further facilitating user use.

[0058] Among them, at least two different growth potentials of the plant can be determined and the target position of the plant of each growth potential in the target area can be obtained by the following implementation methods:

[0059] In the first implementation method, the user can carry an electronic device with a positioning function to the target area to specify at least two different growth conditions of the plant. The user can specify the growth condition of the plant in the target area through the electronic device and mark it on the electronic device. At this time, the electronic device can determine that the current position is the target position of the plant with this growth condition in the target area based on its own positioning function, thereby corresponding the growth condition of the plant to its target position in the target area.

[0060] In one example, the target area is a farmland where several plants are planted. A user can carry an electronic device with a positioning function and walk into the farmland. Figure 2 The electronic device with positioning function can provide a marking page. When the user walks to the location of one of the growing plants, the user can specify the growth of the plant on the marking page of the electronic device. For example, enter the growth of the plant as good on the marking page. Figure 2 Then, the electronic device responds to the growth of the plant specified by the user (the growth of the plant input), obtains the target position of the plant with this growth in the farmland through its own positioning function and displays it on the marking page, or it can also display the latitude and longitude information of the target position.

[0061] Furthermore, in order to improve the accuracy of the first mapping relationship between the generated vegetation index and the plant growth trend, for plants of the same growth trend, the user can mark at least twice at different positions of the target area, so that the electronic device can obtain at least two target positions of the plants of the same growth trend in the target area, avoiding the error between the plants of this growth trend and the vegetation index caused by determining only one target position, which may cause the vegetation index value corresponding to this growth trend to be inaccurate. This embodiment ensures the accuracy of the first mapping relationship by determining at least two target positions of plants of the same growth trend, thereby achieving more accurate guidance of operations based on the first mapping relationship.

[0062] In one example, in a farmland planted with corn, corn of the same growth state, for example, corn growing well, may be distributed in various locations in the farmland. A user can specify corn growing well through the electronic device at different locations (for example, at 3 or 5 different locations respectively), that is, mark it through the electronic device, so that the electronic device can obtain different target locations of the marked corn growing well based on its own positioning function.

[0063] Among them, the positioning technology used by the positioning function includes but is not limited to GPS (Global Positioning System) positioning technology, RTK (Real-time kinematic) positioning technology or GNSS (Global Navigation Satellite System) positioning technology, and this embodiment does not impose any restrictions on this.

[0064] In a second implementation, the movable platform or the electronic device has a display, and the display is used to display an interactive interface. The movable platform or the electronic device displays a first image obtained by photographing the target area on the interactive interface; wherein the first image can be obtained by real-time photography. In one example, a photographing device is installed on the movable platform, and the first image can be obtained by photographing the target area by the photographing device, such as by photographing the target area by a visible light camera in a multi-spectral camera; or, the first image can be obtained from a third-party platform. In one example, the first image can be obtained from a third-party map application. The first image shows several plants in the target area, and then the movable platform or the electronic device can determine at least two different growth states of the plant based on the user's operation on the first image, and then determine the target position of the plant of each growth state in the target area based on the position of the plant of each growth state in the first image.

[0065] In one example, the user can specify at least two growth states of the plant in the first image and determine the position of each growth state of the plant in the first image by operating the first image, wherein the user's operation on the first image includes but is not limited to clicking, long pressing, double clicking, or box selection, etc. For example, the user clicks on the position of the plant that is growing well in the first image, and then the electronic device can obtain the plant that is growing well and its position in the first image.

[0066] Furthermore, in order to improve the accuracy of the first mapping relationship between the generated vegetation index and the plant growth, for plants of the same growth, the user can operate the first image multiple times, and the multiple operations are used to determine at least two different positions of the plants of the same growth in the first image, so that the movable platform or the electronic device can obtain at least two target positions of the plants of the same growth in the target area based on the at least two different positions of the plants of the same growth in the first image, thereby ensuring the accuracy of the first mapping relationship and achieving more accurate guidance of operations based on the first mapping relationship.

[0067] In a third implementation, the user can set at least two specific markers in the target area, and the specific markers are set on plants of corresponding growth potentials to identify the growth potentials of the plants. A second image is obtained by photographing the target area. In one example, the second image is obtained by a movable platform equipped with a photographing device, such as by photographing the target area with a visible light camera in a multi-spectral camera device; when photographing the target area, the specific markers set by the user are also photographed. The movable platform or the electronic device can identify the specific markers in the second image, thereby determining at least two different growth potentials of the plant, and then can determine the target position of the plant of this growth potential in the target area based on the position of the specific marker in the second image.

[0068] Furthermore, in order to improve the accuracy of the first mapping relationship between the generated vegetation index and the plant growth trend, for plants of the same growth trend, the number of corresponding specific markers is at least two, and the user sets at least two specific markers of plants of the same growth trend at different positions of the target area, so that at least two target positions of vegetation of the same growth trend in the target area can be obtained, thereby ensuring the accuracy of the first mapping relationship and achieving more accurate guidance of operations based on the first mapping relationship.

[0069] In one example, for example, there are three specific markers, the first specific marker is a signboard with "good growth", the second specific marker is a signboard with "medium growth", and the third signboard with "poor growth". In a farmland planted with corn, the user sets the three signboards on the corn crops with corresponding growth, and when photographing the farmland, the specific markers set by the user are also photographed to obtain a second image, wherein the second image can be obtained by the movable platform equipped with a shooting device, for example, the target area can be obtained by photographing the visible light camera in the multi-spectral camera device; if the operation method is performed by the movable platform, the movable platform can identify the specific markers in the second image, so as to determine the different growth of the corn crops and the target position of each growth of the corn crops in the farmland; if the operation method is performed by the electronic device, the movable platform equipped with the shooting device needs to transmit the acquired second image to the electronic device, and the electronic device recognizes the specific markers in the second image, so as to determine the different growth of the corn and the target position of each growth of the corn in the farmland.

[0070] Furthermore, the number of each type of marking cards is at least two, and users can place the same type of marking cards on corn crops of the same growth state in different positions, so as to obtain at least two target positions of each type of corn growth state in the farmland, thereby ensuring the accuracy of the first mapping relationship and achieving more accurate guidance of operations based on the first mapping relationship.

[0071] In one embodiment, after determining the target positions of at least two plants of different growth trends in the target area, the movable platform or the electronic device can obtain the vegetation index value pointed to by the target position in the vegetation index map, and the vegetation index value pointed to by the target position of each plant of different growth trends is the vegetation index value corresponding to each plant of different growth trends.

[0072] In one implementation, in order to improve the accuracy of the first mapping relationship between the generated vegetation index and the plant growth potential, when obtaining the vegetation index value of each plant growth potential, the movable platform or the electronic device can obtain the statistical value of the vegetation index value within a specific range centered on the target position, and use the statistical value as the vegetation index value of the plant; wherein the statistical value includes but is not limited to the average value, maximum value, minimum value or median, etc.; this embodiment can reduce the occurrence of errors by obtaining the statistical value of the vegetation index value within a specific range centered on the target position, thereby ensuring the accuracy of the first mapping relationship obtained.

[0073] The specific range can be specifically set according to the actual application scenario, and the embodiment of the present application does not impose any restrictions on this. For example, the specific range can be determined according to the area of ​​the target area. The larger the area of ​​the target area, the larger the specific range. In an example, the specific range can be a circular area or a square area, or an area of ​​other shapes.

[0074] In another implementation, in order to improve the accuracy of the first mapping relationship between the generated vegetation index and the plant growth potential, the number of target positions of each growth potential of the plant in the target area is at least two, so that for each growth potential of the plant, when obtaining the vegetation index value of each growth potential of the plant, the movable platform or the electronic device can obtain statistical values ​​of the vegetation index values ​​pointed to by at least two of the target positions, and use the statistical values ​​as the vegetation index values ​​of the plant with this growth potential; wherein the statistical values ​​include but are not limited to the average value, maximum value, minimum value or median, etc.; this embodiment can avoid the error caused by a single vegetation index value as much as possible by obtaining the statistical values ​​of the vegetation index values ​​pointed to by at least two of the target positions, thereby ensuring the accuracy of the first mapping relationship obtained.

[0075] In a third implementation, in order to improve the accuracy of the first mapping relationship between the generated vegetation index and the plant growth potential, the number of target positions of each growth potential of plants in the target area is at least two, so that for each growth potential of the plants, when obtaining the vegetation index value of each growth potential of the plants, the movable platform or the electronic device can first obtain a first statistical value of the vegetation index value within a specific range centered on each of the target positions, and then obtain a second statistical value based on the first statistical values ​​of at least two of the target positions, and use the second statistical value as the vegetation index value of the plant of this growth potential, thereby avoiding errors caused by a single vegetation index value as much as possible and ensuring the accuracy of the first mapping relationship obtained.

[0076] Furthermore, after obtaining the vegetation index value pointed to by the target position of each growth posture of the plant, the movable platform or the electronic device can generate a first mapping relationship between the vegetation index and the plant growth posture based on at least two different growth postures of the plant and the vegetation index value corresponding to each growth posture, wherein the first mapping relationship represents different vegetation index values ​​corresponding to plants of different growth postures.

[0077] In one implementation, a first mapping relationship between a vegetation index and a plant growth potential can be obtained by fitting according to at least two different growth potentials of the plant and the vegetation index value corresponding to each growth potential. In this embodiment, the first mapping relationship obtained by fitting can obtain different vegetation index values ​​corresponding to plants with different growth potentials, and is not limited to at least two different growth potentials of the plant and the vegetation index value corresponding to each growth potential.

[0078] It can be understood that the embodiment of the present application does not impose any restrictions on the representation of the first mapping relationship, and can be specifically set according to the actual application scenario. In one example, the first mapping relationship between the vegetation index and the plant growth can be expressed as a function equation relationship, such as a function f(x), where x is the vegetation index value, thereby obtaining f(x), that is, the growth of the plant. Of course, this embodiment does not impose any restrictions on the specific function representation form, and can be specifically set according to the actual application scenario. In an example, please refer to Table 1, it can also be represented by a correspondence table between the vegetation index value and the plant growth, where A, B, and C represent different vegetation index values, and a, b, and c represent different growths of plants. In an example, it can also be represented by a change curve that reflects the mapping relationship between the plant index value and the plant growth.

[0079] Table 1

[0080] Vegetation index value Plant growth A a B b C c

[0081] In one embodiment, after obtaining the first mapping relationship between the vegetation index and the plant growth potential, the first mapping relationship between the vegetation index and the plant growth potential can be saved. If the user also plants the plants in the target area in the vicinity of the target area, considering that the soil and climate in the same region are basically the same, the growth conditions of the same plant in the same region are also basically the same or the difference is small. In this way, the first mapping relationship between the vegetation index and the plant growth potential can also be applied to the vicinity of the target area to implement operations in the vicinity of the target area. There is no need to repeatedly establish the first mapping relationship between the vegetation index and the plant growth potential, which further reduces the steps for the user to specify at least two different growth potentials of the plant, facilitates user use, and helps to improve efficiency.

[0082] Furthermore, the first mapping relationship between the vegetation index and the plant growth can also be uploaded to a designated service platform, so that other users do not need to establish the first mapping relationship between the vegetation index and the plant growth through a mobile platform or an electronic device, and can directly obtain the first mapping relationship between the vegetation index and the plant growth from the designated service platform, which is further convenient for users to use and provides guidance on related plant growth conditions and other aspects to more farmers with less agronomic experience. It should be noted that due to different geographical locations, the same growth of plants may have different corresponding vegetation index values ​​in different geographical locations; and for different types of plants, the mapping between plant growth and vegetation index is also different. Therefore, when uploading the first mapping relationship between the vegetation index and the plant growth, it is also necessary to simultaneously upload the geographical location of the target area and / or the type of plant in the target area, where and / or represents both or one of the two, so as to ensure the application accuracy of the first mapping relationship between the vegetation index and the plant growth.

[0083] In some embodiments, the user can obtain the type of plants in the target area and / or the geographical location of the target area, and then obtain the first mapping relationship from the designated service platform based on the type of plants in the target area and / or the geographical location of the target area. In this embodiment, it is not necessary to establish the first mapping relationship between the vegetation index and the plant growth in the target area through the movable platform or the electronic device. Considering that the growth conditions of the same plant in the same region are basically the same or have little difference, that is, the mapping relationship between the growth of the same plant and the vegetation index is also roughly the same, the first mapping relationship of the same plant in the same region can be obtained from the designated service platform, so that more farmers with less agronomic experience can be provided with guidance on related plant growth conditions, etc., which is also conducive to improving efficiency.

[0084] In one example, the type of plants in the target area and the geographical location of the target area can be input by a user on the electronic device. In another example, the type of plants in the target area can be obtained by identifying an image obtained by photographing the target area; the geographical location of the target area can be determined based on the positioning function of the electronic device.

[0085] In one embodiment, after obtaining the first mapping relationship between the vegetation index and the plant growth, it is also necessary to obtain the second mapping relationship between the plant growth and the amount of fertilizer applied, so that the growth of several plants in the target area can be determined based on the vegetation index map and the first mapping relationship; and then the amount of fertilizer applied corresponding to each plant in the target area can be determined based on the growth of several plants in the target area and the second mapping relationship.

[0086] In one implementation, the fertilizer amounts corresponding to at least two growth potentials of the plant set by the user can be obtained, and then a second mapping relationship between the plant growth potential and the fertilizer amount is generated based on the fertilizer amounts corresponding to the at least two growth potentials of the plant. In one example, the fertilizer amounts corresponding to at least two growth potentials of the plant can be generated, and the second mapping relationship between the plant growth potential and the fertilizer amount can be obtained by a fitting operation. In this embodiment, the second mapping relationship obtained by the fitting operation can indicate different fertilizer amounts corresponding to different plant growth potentials, and is not limited to the fertilizer amounts corresponding to the at least two growth potentials of the plant.

[0087] In addition, in order to avoid the damage of the plant due to too much fertilizer application or the ineffectiveness of too little fertilizer application, a second mapping relationship between the growth of the plant and the fertilizer application amount can be generated according to the fertilizer application amounts corresponding to at least two growth conditions of the plant set by the user and the preset fertilizer application amount range of the plant, and the second mapping relationship can indicate different fertilizer application amounts corresponding to different plant growth conditions. The fertilizer application amount range of the plant can be specifically set according to the actual application scenario, and the embodiment of the present application does not impose any restrictions on this.

[0088] For an example, see Figure 3 The electronic device provides an interactive page, which displays three growth potentials of plants (good, medium and poor) and the amount of fertilizer corresponding to each growth potential to be input on the interactive interface. The user inputs the amount of fertilizer corresponding to the three growth potentials of plants on the interactive interface, and the interactive page displays at least two growth potentials of plants and the amount of fertilizer corresponding to each growth potential of plants.

[0089] It is understandable that the embodiment of the present application does not impose any restrictions on the representation form of the second mapping relationship, and can be specifically set according to the actual application scenario. In one example, the second mapping relationship can be represented by a function equation relationship; it can also be represented by a corresponding relationship table between the plant growth and the amount of fertilizer applied; it can also be represented by a change curve that reflects the mapping relationship between the plant growth and the amount of fertilizer applied.

[0090] Furthermore, after obtaining the second mapping relationship between the plant growth and the amount of fertilizer, the second mapping relationship between the plant growth and the amount of fertilizer can be saved. If the user also plants the same plants as those in the target area in the vicinity of the target area, and considering that the growth conditions of the same plant in the same region are basically the same or the differences are small, the second mapping relationship between the plant growth and the amount of fertilizer can also be applied to the vicinity of the target area, thereby implementing operations in the vicinity of the target area. There is no need to repeatedly establish the second mapping relationship between the plant growth and the amount of fertilizer, which further reduces the steps for users to set the amount of fertilizer for plants with different growths, facilitates user use, and helps to improve work efficiency.

[0091] Furthermore, the second mapping relationship between the plant growth and the amount of fertilizer can also be uploaded to a designated service platform, so that other users do not need to establish the second mapping relationship between the plant growth and the amount of fertilizer through the mobile platform or electronic device, and can directly obtain the second mapping relationship between the plant growth and the amount of fertilizer from the designated service platform, further facilitating user use; it should be noted that, due to different geographical locations, the same growth of plants may correspond to different amounts of fertilizer in different geographical locations; and for different types of plants, the mapping between plant growth and the amount of fertilizer is also different. Therefore, when uploading the second mapping relationship between the plant growth and the amount of fertilizer, it is also necessary to upload the geographical location of the target area and / or the type of plant in the target area at the same time, where and / or represents both or one of the two, so as to ensure the application accuracy of the second mapping relationship between plant growth and the amount of fertilizer.

[0092] In some embodiments, the type of plants in the target area and / or the geographical location of the target area can be obtained, and then the second mapping relationship can be obtained from the designated service platform based on the type of plants in the target area and / or the geographical location of the target area. In this embodiment, there is no need to establish the second mapping relationship between the growth of the plants and the amount of fertilizer applied through the movable platform or the electronic device. Considering that the growth conditions of the same plant in the same region are basically the same or the difference is small, that is, the mapping relationship between the growth of the same plant and the amount of fertilizer applied is also roughly the same, the second mapping relationship of the same plant in the same region can be obtained from the designated service platform, so that more farmers with less agronomic experience can be provided with relevant guidance on growth conditions, fertilization, etc., which is also conducive to improving work efficiency.

[0093] Furthermore, considering the process of obtaining different growth potentials of plants based on the vegetation index based on the first mapping relationship, and then obtaining the corresponding fertilizer amount based on the second mapping relationship, the process of multiple mappings may result in large errors. Therefore, in some embodiments, the first mapping relationship between the vegetation index and the plant growth potential, and the second mapping relationship between the plant growth potential and the fertilizer amount can be integrated to obtain a third mapping relationship between the vegetation index and the fertilizer amount, so that the movable platform or the electronic device can directly generate an operation prescription map for the target area based on the vegetation index map and the third mapping relationship; the operation prescription map indicates the corresponding fertilizer amount for each plant in the target area; in this embodiment, the one-time mapping process not only reduces the operation steps and is simpler to implement, but also avoids the errors caused by multiple mappings, thereby ensuring the accuracy of the determination results.

[0094] It is understandable that the embodiment of the present application does not impose any restrictions on the representation form of the third mapping relationship, and can be specifically set according to the actual application scenario. In one example, the third mapping relationship can be represented by a function equation relationship; it can also be represented by a corresponding relationship table between the plant index value and the fertilizer amount; it can also be represented by a change curve that reflects the mapping relationship between the plant index value and the fertilizer amount.

[0095] In a possible implementation, the execution subject is an electronic device as an example for explanation. Considering that ordinary users are not familiar with the vegetation index, the third mapping relationship can be obtained as follows: the user specifies at least two different growths of the plant through the electronic device, and inputs the fertilizer amount corresponding to each growth of the plant, so that the electronic device determines at least two different growths of the plant, obtains the target position of each growth of the plant in the target area and the fertilizer amount corresponding to each growth of the plant; in the vegetation index map, obtains the vegetation index value pointed to by the target position as the vegetation index value of the corresponding growth of the plant; finally, according to the vegetation index value of each growth of the plant and the fertilizer amount corresponding to each growth of the plant, a third mapping relationship between the vegetation index and the fertilizer amount is generated. In this embodiment, the user only needs to specify the different growths of the plant based on his own agronomic knowledge and input the fertilizer amount corresponding to each growth. The electronic device establishes the third mapping relationship between the vegetation index and the fertilizer amount based on the specified at least two different growths of the plant, the vegetation index map and the fertilizer amount corresponding to each growth, so as to achieve good auxiliary crop management using the vegetation index, and further facilitate user use.

[0096] Among them, the determination of at least two different growth potentials of the plant and the acquisition of the target position of each growth potential of the plant in the target area can be implemented by referring to the relevant description in the above embodiments, which will not be repeated here.

[0097] Furthermore, in order to ensure the accuracy of the acquired third mapping relationship, at least two target positions for each type of plant growth should be obtained, such as obtaining 3 or 5 different target positions of plants with good growth in the target area, to avoid inaccurate mapping of the third mapping relationship due to too little data.

[0098] In another possible implementation, taking the execution subject as an electronic device as an example, the third mapping relationship can also be obtained as follows: the user can input the amount of fertilizer corresponding to the plants at at least two target positions in the target area on the electronic device, so that the electronic device can obtain the amount of fertilizer corresponding to the plants at at least two target positions in the target area; in the vegetation index map, obtain the vegetation index values ​​pointed to by the at least two target positions respectively; finally, according to the vegetation index values ​​pointed to by the at least two target positions and the corresponding amount of fertilizer, generate a third mapping relationship between vegetation index and fertilizer amount. In this embodiment, the user can determine the amount of fertilizer corresponding to the plants at a certain position in the target area according to his own agricultural knowledge, and the electronic device establishes the third mapping relationship between vegetation index and fertilizer amount based on the at least two target positions, the amount of fertilizer corresponding to the plants at the target positions, and the vegetation index map, thereby realizing the use of vegetation index to well assist crop management and further facilitate user use.

[0099] The at least two target positions can be obtained based on a marking operation of the user on the electronic device, the electronic device has a positioning function, and the user is at the target position when marking, and the electronic device responds to the marking operation of the user and uses the current position obtained by the positioning function as the target position. Alternatively, the at least two target positions are obtained based on the user operating the first image obtained by shooting the target area.

[0100] Furthermore, in order to ensure the accuracy of the acquired third mapping relationship, for plants with the same amount of fertilizer, multiple target positions (such as 3 or 5) in the target area should be determined to avoid inaccurate mapping of the third mapping relationship due to too little data.

[0101] Accordingly, see Figure 4A , the embodiment of the present application also provides a structural diagram of a movable platform 20, wherein the movable platform 20 includes a body 23;

[0102] A power system 22, disposed inside the fuselage 23, for driving the movable platform 20 to move;

[0103] The first processor 21 is disposed inside the body 23 and is used for:

[0104] Collecting a multispectral image of a target area through a multispectral camera device to obtain a vegetation index map of the target area; the vegetation index map indicates vegetation indexes of several plants in the target area;

[0105] Acquire a first mapping relationship between vegetation index and plant growth, and a second mapping relationship between plant growth and fertilizer application amount;

[0106] Determining the growth potential of a plurality of plants in the target area according to the vegetation index map and the first mapping relationship;

[0107] generating an operation prescription map for the target area according to the growth potential of a plurality of plants in the target area and the second mapping relationship; the operation prescription map indicates the corresponding fertilizer amount for each plant in the target area;

[0108] The spreading system of the movable platform 20 is controlled to perform operations according to the operation prescription map.

[0109] In one embodiment, see Figure 4B The movable platform 20 also includes the multi-spectral camera device 24 disposed on the fuselage 23, and the multi-spectral camera device 24 is used to collect the multi-spectral image of the target area.

[0110] In one embodiment, see Figure 4CThe movable platform 20 is also provided with a communication system 25; the communication system 25 is used to send the operation prescription map to the movable device movable platform 20 installed with the sowing system 26, so that the sowing system 26 performs the operation according to the operation prescription map.

[0111] The communication technology used by the communication system 25 includes but is not limited to: short-range wireless communication technology or mobile communication protocol technology. The short-range wireless communication technology can be infrared technology, WiFi technology, Bluetooth technology, UWB technology or ZigBee technology, etc. The mobile communication protocol technology can be 3G communication technology, 4G communication technology, GSM communication technology or GPRS communication technology, etc.

[0112] In one embodiment, see Figure 4D The movable platform 20 also includes a spreading system 26 disposed on the fuselage 23, and the spreading system 26 is used to perform operations according to the operation prescription map.

[0113] In one embodiment, see Figure 4E , the movable platform 20 also includes a communication system 25.

[0114] The communication system 25 is used to receive the multispectral image of the target area collected by the multispectral camera device 24.

[0115] In one embodiment, when obtaining a first mapping relationship between a vegetation index and a plant growth potential, the first processor 21 is specifically used to: determine at least two different growth potentials of the plant, and obtain a target position of the plant of each growth potential in the target area; in the vegetation index map, obtain a vegetation index value pointed to by the target position; and generate a first mapping relationship between a vegetation index and a plant growth potential based on at least two different growth potentials of the plant and the vegetation index value corresponding to each growth potential.

[0116] In one embodiment, when obtaining the vegetation index value pointed to by the target position, the first processor 21 is specifically configured to: obtain a statistical value of the vegetation index value within a specific range centered on the target position.

[0117] In one embodiment, the number of target locations for each growth state of plants in the target area is at least two.

[0118] When obtaining the vegetation index value pointed to by the target position, the first processor 21 is specifically used to: obtain, for each growth tendency of the plant, at least two statistical values ​​of the vegetation index values ​​pointed to by the target position.

[0119] In one embodiment, the target location is obtained by a user marking on an electronic device that is communicatively connected to the movable device movable platform 20; the electronic device has a positioning function, and the user is within the target area.

[0120] In one embodiment, the movable platform 20 further includes a display, and the display is used to display an interactive interface, on which the first image obtained by photographing the target area is displayed.

[0121] The first processor 21 is further configured to determine at least two different growth potentials of the plant based on a user's operation on the first image.

[0122] In one embodiment, the target position of each type of plant growth in the target area is determined according to the position of the plant growth in the first image.

[0123] In one embodiment, the first processor 21 is further used for: acquiring a second image of the target area; at least two specific markers are provided on the target area, and the specific markers are used to identify the growth potential of the plant; identifying the specific markers in the second image to determine at least two different growth potentials of the plant.

[0124] In one embodiment, the target position of each growth state of the plant in the target area is determined according to the position of a specific marker corresponding to the growth state of the plant in the second image.

[0125] In one embodiment, when obtaining the first mapping relationship between the vegetation index and the plant growth potential, the first processor 21 is specifically used to: obtain the type of plants in the target area and / or the geographical location of the target area; and obtain the first mapping relationship from a designated service platform based on the type of plants in the target area and / or the geographical location of the target area.

[0126] In one embodiment, when obtaining the second mapping relationship between plant growth and fertilizer amount, the first processor 21 is specifically used to: obtain the fertilizer amounts corresponding to at least two growth conditions of the plant set by the user, so as to generate the second mapping relationship between the plant growth and fertilizer amount.

[0127] In one embodiment, the first processor 21 is specifically used to generate a second mapping relationship between the plant growth potential and the fertilizer amount according to the fertilizer amounts corresponding to at least two growth potentials of the plant set by the user and a preset fertilizer amount range for this type of plant.

[0128] In one embodiment, when obtaining the second mapping relationship between plant growth and fertilizer amount, the first processor 21 is specifically used to: obtain the type of plants in the target area and / or the geographical location of the target area; obtain the second mapping relationship from a designated service platform based on the type of plants in the target area and / or the geographical location of the target area.

[0129] In one embodiment, the movable platform 20 further includes a communication system 25 .

[0130] The communication system 25 is used to upload the following information to a designated service platform: the geographical location of the target area and / or the type of plants in the target area, and the first mapping relationship between the vegetation index and the growth of the plants.

[0131] In one embodiment, the movable device platform 20 further includes a communication system 25 .

[0132] The communication system 25 is used to upload the following information to a designated service platform: the geographical location of the target area and / or the type of plants in the target area, and the second mapping relationship between the growth of the plants and the amount of fertilizer applied.

[0133] In one embodiment, the multi-spectral camera device 24 includes at least one of the following components: a visible light camera, a red edge camera, a near infrared camera, a blue light camera, a green light camera or a red light camera.

[0134] In one embodiment, the vegetation index pointed to by the vegetation index map includes at least one of the following: normalized vegetation index, normalized difference red edge index, green channel vegetation index, ratio vegetation index, difference vegetation index, atmospheric impedance vegetation index, soil adjustment vegetation index or enhanced vegetation index.

[0135] In one embodiment, the movable device movable platform 20 at least includes: an unmanned aerial vehicle, an unmanned vehicle, an unmanned ship or a mobile robot.

[0136] The following description of the movable platform of the present application uses an unmanned aerial vehicle as an example. It will be apparent to those skilled in the art that other types of unmanned aerial vehicles can be used without restriction, and the embodiments of the present application can be applied to various types of unmanned aerial vehicles. For example, the unmanned aerial vehicle can be a small or large unmanned aerial vehicle. In some embodiments, the unmanned aerial vehicle can be a rotorcraft, for example, a multi-rotor unmanned aerial vehicle propelled by multiple propulsion devices through the air, the embodiments of the present application are not limited thereto, and the unmanned aerial vehicle can also be other types of unmanned aerial vehicles.

[0137] Figure 51 is a schematic diagram of the architecture of an unmanned aerial vehicle system according to an embodiment of the present application. This embodiment is described by taking a rotary wing unmanned aerial vehicle as an example.

[0138] The unmanned aerial system 300 may include an unmanned aerial vehicle 310, a display device 330, and a remote control device 340. The unmanned aerial vehicle 310 may include a power system 350, a flight control system 360, a frame, and a gimbal 320 carried on the frame. The unmanned aerial vehicle 330 may wirelessly communicate with the remote control device 340 and the display device 330. The unmanned aerial vehicle 330 may be an agricultural unmanned aerial vehicle or an industrial application unmanned aerial vehicle, which has a requirement for cyclic operation.

[0139] The frame may include a fuselage and a foot frame (also referred to as a landing gear). The fuselage may include a center frame and one or more arms connected to the center frame, and the one or more arms extend radially from the center frame. The foot frame is connected to the fuselage and is used to support the unmanned aerial vehicle 330 when it lands.

[0140] The power system 350 may include one or more electronic speed regulators (referred to as ESCs) 351, one or more propellers 353, and one or more motors 352 corresponding to the one or more propellers 353, wherein the motor 352 is connected between the electronic speed regulator 351 and the propeller 353, and the motor 352 and the propeller 353 are arranged on the arm of the unmanned aerial vehicle 330; the electronic speed regulator 351 is used to receive the drive signal generated by the flight control system 360, and provide a drive current to the motor 352 according to the drive signal to control the speed of the motor 352. The motor 352 is used to drive the propeller to rotate, thereby providing power for the flight of the unmanned aerial vehicle 330, and the power enables the unmanned aerial vehicle 330 to achieve one or more degrees of freedom. In some embodiments, the unmanned aerial vehicle 330 can rotate around one or more rotation axes. For example, the above-mentioned rotation axes may include a roll axis (Roll), a yaw axis (Yaw) and a pitch axis (Pitch). It should be understood that the motor 352 may be a DC motor or an AC motor. In addition, the motor 352 may be a brushless motor or a brushed motor.

[0141] The flight control system 360 may include a flight controller 361 and a sensor system 362. The sensor system 362 is used to measure the attitude information of the unmanned aerial vehicle, that is, the position information and state information of the unmanned aerial vehicle 330 in space, such as three-dimensional position, three-dimensional angle, three-dimensional velocity, three-dimensional acceleration and three-dimensional angular velocity. The sensor system 362 may include at least one of sensors such as a gyroscope, an ultrasonic sensor, an electronic compass, an inertial measurement unit (IMU), a visual sensor, a global navigation satellite system and a barometer. For example, the global navigation satellite system may be a global positioning system (GPS). The flight controller 361 is used to control the flight of the unmanned aerial vehicle 330, for example, the flight of the unmanned aerial vehicle 330 may be controlled according to the attitude information measured by the sensor system 362. It should be understood that the flight controller 361 may control the unmanned aerial vehicle 330 according to pre-programmed instructions, or may control the unmanned aerial vehicle 330 by responding to one or more remote control signals from the remote control device 340.

[0142] The gimbal 320 may include a motor 322. The gimbal is used to carry a shooting device 323. The flight controller 361 may control the movement of the gimbal 320 through the motor 322. Optionally, as another embodiment, the gimbal 320 may also include a controller for controlling the movement of the gimbal 320 by controlling the motor 322. It should be understood that the gimbal 320 may be independent of the unmanned aerial vehicle 330, or may be a part of the unmanned aerial vehicle 330. It should be understood that the motor 322 may be a DC motor or an AC motor. In addition, the motor 322 may be a brushless motor or a brushed motor. It should also be understood that the gimbal may be located at the top of the unmanned aerial vehicle or at the bottom of the unmanned aerial vehicle.

[0143] The shooting device 323 can be, for example, a camera or a video camera, etc., for capturing images. The shooting device 323 can communicate with the flight controller and shoot under the control of the flight controller. The shooting device 323 of this embodiment includes at least a photosensitive element, such as a complementary metal oxide semiconductor (CMOS) sensor or a charge-coupled device (CCD) sensor. It can be understood that the shooting device 323 can also be directly fixed on the unmanned aerial vehicle 330, so that the gimbal 320 can be omitted.

[0144] The display device 330 is located at the ground end of the UAV system 300, can communicate with the UAV 330 in a wireless manner, and can be used to display the attitude information of the UAV 330. In addition, the image captured by the camera 323 can also be displayed on the display device 330. It should be understood that the display device 330 can be an independent device or integrated in the remote control device 340.

[0145] The remote control device 340 is located at the ground end of the UAV system 300 and can communicate with the UAV 330 in a wireless manner to remotely control the UAV 330 .

[0146] It should be understood that the above-mentioned naming of the components of the unmanned aerial system is for identification purposes only and should not be construed as a limitation on the embodiments of the present application.

[0147] Accordingly, see Fig. 6A The present application also provides an electronic device 40, which includes a communication module 43, a memory 42, a second processor 41, and a computer program stored in the memory 42 and executable on the second processor 41.

[0148] Wherein, the communication module 43 is used to receive the multispectral image of the target area collected by the multispectral camera device;

[0149] The second processor 41 calls the computer program, and when the computer program is executed, is used to perform the following operations:

[0150] Acquire a vegetation index map of the target area according to the multispectral image;

[0151] Acquire a first mapping relationship between vegetation index and plant growth, and a second mapping relationship between plant growth and fertilizer application amount;

[0152] Generate a work prescription map for the target area according to the first mapping relationship, the second mapping relationship and the vegetation index map;

[0153] The spreading system of the movable platform is controlled to perform the operation according to the operation prescription map.

[0154] The second processor 41 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0155] The memory 42 stores the computer program of the method, and the memory 42 may include at least one type of storage medium, including flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. Moreover, the terminal device 40 may cooperate with a network storage device that performs the storage function of the memory 42 through a network connection. The memory 42 may be an internal storage unit of the terminal device 40, such as a hard disk or memory of the terminal device 40. The memory 42 may also be an external storage device of the terminal device 40, such as a plug-in hard disk equipped on the terminal device 40, a smart memory card (Smart MediaCard, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. Further, the memory 42 may also include both an internal storage unit of the terminal device 40 and an external storage device. The memory 42 is used to store computer programs and other programs and data required by the device. The memory 42 may also be used to temporarily store data that has been output or is to be output.

[0156] In one embodiment, when obtaining a first mapping relationship between the vegetation index and the plant growth potential, the second processor 41 is specifically used to: determine at least two different growth potentials of the plant, and obtain the target position of the plant of each growth potential in the target area; in the vegetation index map, obtain the vegetation index value pointed to by the target position; and generate a first mapping relationship between the vegetation index and the plant growth potential based on at least two different growth potentials of the plant and the vegetation index value corresponding to each growth potential.

[0157] In one embodiment, when obtaining the vegetation index value pointed to by the target position, the second processor 41 is specifically configured to: obtain a statistical value of the vegetation index value within a specific range centered on the target position.

[0158] In one embodiment, the number of target locations for each growth state of plants in the target area is at least two.

[0159] When obtaining the vegetation index value pointed to by the target position, the second processor 41 is specifically used to: obtain, for each growth tendency of the plant, at least two statistical values ​​of the vegetation index values ​​pointed to by the target position.

[0160] In one embodiment, the target location is obtained by the user marking on the electronic device 40; the electronic device 40 includes a positioning module, and the user is in the target area.

[0161] In one embodiment, see Figure 6B , the terminal device further includes a display 44, the display 44 is used to display an interactive interface, and the first image obtained by shooting the target area is displayed on the interactive interface;

[0162] The second processor 41 is further configured to determine at least two different growth potentials of the plant based on a user's operation on the first image.

[0163] In one embodiment, the target position of each type of plant growth in the target area is determined according to the position of the plant growth in the first image.

[0164] In one embodiment, the second processor 41 is further used to: acquire a second image obtained by photographing the target area; at least two specific markers are set on the target area, and the specific markers are used to identify the growth of the plant;

[0165] The second processor 41 identifies specific markers in the second image to determine at least two different growth conditions of the plant.

[0166] In one embodiment, the target position of each growth state of the plant in the target area is determined according to the position of a specific marker corresponding to the growth state of the plant in the second image.

[0167] In one embodiment, when obtaining a first mapping relationship between vegetation index and plant growth, the second processor 41 is specifically used to: obtain the type of plants in the target area and / or the geographical location of the target area; and obtain the first mapping relationship from a designated service platform based on the type of plants in the target area and / or the geographical location of the target area.

[0168] In one embodiment, when obtaining the second mapping relationship between plant growth and fertilizer amount, the second processor 41 is specifically used to: obtain the fertilizer amounts corresponding to at least two growth conditions of the plant set by the user, so as to generate a second mapping relationship between the plant growth and fertilizer amount.

[0169] In one embodiment, the second processor 41 is specifically used to generate a second mapping relationship between the plant growth potential and the fertilizer amount according to the fertilizer amounts corresponding to at least two growth potentials of the plant set by the user and a preset fertilizer amount range for this type of plant.

[0170] In one embodiment, when obtaining the second mapping relationship between plant growth and fertilizer amount, the second processor 41 is specifically used to: obtain the type of plants in the target area and / or the geographical location of the target area; obtain the second mapping relationship from a designated service platform based on the type of plants in the target area and / or the geographical location of the target area.

[0171] In one embodiment, the communication module 43 is further used to upload the following information to a designated service platform: the geographical location of the target area and / or the type of plants in the target area, and the first mapping relationship between the vegetation index and plant growth.

[0172] In one embodiment, the communication module 43 is used to upload the following information to a designated service platform: the geographical location of the target area and / or the type of plants in the target area, and the second mapping relationship between plant growth and fertilizer application amount.

[0173] The various embodiments described herein can be implemented using a computer readable medium such as computer software, hardware, or any combination thereof. For hardware implementation, the embodiments described herein can be implemented using at least one of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a processor, a controller, a microcontroller, a microprocessor, an electronic unit designed to perform the functions described herein. For software implementation, embodiments such as processes or functions can be implemented with separate software modules that allow execution of at least one function or operation. The software code can be implemented by a software application (or program) written in any appropriate programming language, and the software code can be stored in a memory 42 and executed by a second processor 41.

[0174] In addition, the embodiment of the present application further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the operation method of the above embodiment are implemented. For example, the non-temporary computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.

[0175] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprises a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0176] The method and device provided in the embodiments of the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for general technicians in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for operating a movable platform, characterized in that: The method comprises: Collecting a multispectral image of a target area through a multispectral camera device to obtain a vegetation index map of the target area; the vegetation index map indicates vegetation indexes of several plants in the target area; Obtaining a first mapping relationship between a vegetation index and a plant growth potential, and a second mapping relationship between a plant growth potential and an amount of fertilizer; wherein obtaining the first mapping relationship comprises: determining at least two different growth potentials of the plant, and determining a target position of the plant of each growth potential in the target area, wherein the at least two different growth potentials of the plant are determined based on a user's operation; in the vegetation index map, obtaining a vegetation index value pointed to by the target position; determining the first mapping relationship between a vegetation index and a plant growth potential according to the at least two different growth potentials of the plant and the vegetation index value corresponding to each growth potential; Determining the growth potential of a plurality of plants in the target area according to the vegetation index map and the first mapping relationship; generating an operation prescription map of the target area according to the growth potential of the plurality of plants in the target area and the second mapping relationship, wherein the operation prescription map is used to indicate the fertilizer amount corresponding to each of the plants in the target area; and The spreading system of the movable platform is controlled to perform operations according to the operation prescription map.

2. The method according to claim 1, characterized in that The obtaining of the vegetation index value pointed to by the target position includes: Obtain statistical values ​​of the vegetation index value within a specific range centered at the target position.

3. The method according to claim 1, characterized in that: The number of target locations of the plant of each growth potential in the target area is at least two; Then the step of obtaining the vegetation index value pointed to by the target position includes: For each growth tendency of the plant, statistical values ​​of the vegetation index values ​​pointed to by at least two target positions are obtained.

4. The method according to claim 1, characterized in that The target location is obtained by a user marking on an electronic device that is communicatively connected to the movable platform; the electronic device has a positioning function, and the user is within the target area.

5. The method according to claim 1, characterized in that Determining at least two different growth potentials of the plant comprises: Displaying a first image obtained by photographing the target area on an interactive interface; At least two different growth conditions of the plant are determined based on a user's operation on the first image.

6. The method according to claim 5, characterized in that The target position of the plant of each growth state in the target area is determined according to the position of the plant of this growth state in the first image.

7. The method according to claim 1, characterized in that Determining at least two different growth potentials of the plant comprises: Acquire a second image obtained by photographing the target area; at least two specific markers are set on the target area, and the specific markers are used to identify the growth of the plant; The specific marker in the second image is identified to determine at least two different growth potentials of the plant.

8. The method according to claim 7, characterized in that The target position of the plant of each growth state in the target area is determined according to the position of the specific marker corresponding to the plant of this growth state in the second image.

9. The method according to claim 1, characterized in that: The obtaining of a first mapping relationship between a vegetation index and plant growth potential includes: Acquire the species of plants in the target area and / or the geographical location of the target area; The first mapping relationship is acquired from a designated service platform according to the types of plants in the target area and / or the geographical location of the target area.

10. The method according to claim 1, characterized in that The obtaining of the second mapping relationship between plant growth and fertilizer application amount includes: Fertilizer amounts corresponding to at least two growth potentials of the plant set by the user are obtained to determine a second mapping relationship between the plant growth potential and the fertilizer amount.

11. The method according to claim 10, characterized in that The generating of the second mapping relationship between the plant growth potential and the fertilizer application amount comprises: The second mapping relationship between the growth potential of the plant and the fertilizer amount is determined according to the fertilizer amounts corresponding to the at least two growth potentials of the plant set by the user and the preset fertilizer amount range for the plant of this type.

12. The method according to claim 1, characterized in that The obtaining of the second mapping relationship between plant growth and fertilizer application amount includes: Acquire the species of plants in the target area and / or the geographical location of the target area; The second mapping relationship is acquired from a designated service platform according to the types of plants in the target area and / or the geographical location of the target area.

13. The method according to claim 1, characterized in that Also includes: Upload at least one of the following information to a designated service platform: the geographical location of the target area, the type of plants in the target area, or a first mapping relationship between the vegetation index and plant growth.

14. The method according to claim 1, characterized in that Also includes: Upload at least one of the following information to a designated service platform: the geographical location of the target area, the type of plants in the target area, or a second mapping relationship between the growth of the plants and the amount of fertilizer applied.

15. The method according to claim 1, characterized in that The multi-spectral camera device includes at least one of the following components: a visible light camera, a red edge camera, a near infrared camera, a blue light camera, a green light camera or a red light camera.

16. The method according to claim 1, characterized in that The vegetation index pointed to by the vegetation index map includes at least one of the following: normalized vegetation index, normalized difference red edge index, green channel vegetation index, ratio vegetation index, difference vegetation index, atmospheric impedance vegetation index, soil adjustment vegetation index or enhanced vegetation index.

17. The method according to claim 1, characterized in that The movable platform includes at least: an unmanned aerial vehicle, an unmanned vehicle, an unmanned ship or a mobile robot.

18. A movable platform, characterized in that: include: body; A power system, disposed inside the fuselage, for driving the movable platform to move; The first processor is disposed inside the body and is used for: Collecting a multispectral image of a target area through a multispectral camera device to obtain a vegetation index map of the target area; the vegetation index map indicates vegetation indexes of several plants in the target area; Obtaining a first mapping relationship between a vegetation index and a plant growth potential, and a second mapping relationship between a plant growth potential and an amount of fertilizer; wherein obtaining the first mapping relationship comprises: determining at least two different growth potentials of the plant, and determining a target position of the plant of each growth potential in the target area, wherein the at least two different growth potentials of the plant are determined based on a user's operation; in the vegetation index map, obtaining a vegetation index value pointed to by the target position; determining the first mapping relationship between a vegetation index and a plant growth potential according to the at least two different growth potentials of the plant and the vegetation index value corresponding to each growth potential; Determining the growth potential of a plurality of plants in the target area according to the vegetation index map and the first mapping relationship; generating an operation prescription map of the target area according to the growth potential of the plurality of plants in the target area and the second mapping relationship, wherein the operation prescription map is used to indicate the corresponding fertilizer amount for each plant in the target area; and The spreading system of the movable platform is controlled to perform operations according to the operation prescription map.

19. The movable platform according to claim 18, characterized in that: The movable platform is provided with the multispectral camera device, and the multispectral camera device is used to collect the multispectral image of the target area.

20. The movable platform according to claim 19, characterized in that: The movable platform is also provided with a communication system; The communication system is used to send the operation prescription map to a movable platform on which a spreading system is installed, so that the spreading system performs operations according to the operation prescription map.

21. The movable platform according to claim 18, characterized in that: The movable platform is provided with a spreading system, and the spreading system is used to perform operations according to the operation prescription map.

22. The movable platform according to claim 21, characterized in that: The movable platform also includes a communication system; The communication system is used to receive a multispectral image of a target area collected by a multispectral camera.

23. The movable platform according to claim 18, characterized in that: When obtaining the vegetation index value pointed to by the target position, the first processor is specifically used to: obtain a statistical value of the vegetation index value within a specific range centered on the target position.

24. The movable platform according to claim 18, characterized in that: The number of target locations of the plant of each growth potential in the target area is at least two; When obtaining the vegetation index value pointed to by the target position, the first processor is specifically used to: for each growth tendency of the plant, obtain statistical values ​​of at least two vegetation index values ​​pointed to by the target position.

25. The movable platform according to claim 18, characterized in that: The target position is obtained by a user marking on an electronic movable platform that is communicatively connected to the movable platform; the electronic movable platform has a positioning function, and the user is in the target area.

26. The movable platform according to claim 18, characterized in that: The movable platform further comprises a display, wherein the display is used to display an interactive interface, and a first image obtained by photographing the target area is displayed on the interactive interface; The first processor is further configured to determine at least two different growth potentials of the plant based on a user's operation on the first image.

27. The movable platform according to claim 26, characterized in that: The target position of the plant of each growth state in the target area is determined according to the position of the plant of this growth state in the first image.

28. The movable platform according to claim 18, characterized in that: The first processor is further used to: acquire a second image obtained by photographing the target area; at least two specific markers are set on the target area, and the specific markers are used to identify the growth of the plant; The first processor identifies the specific marker in the second image to determine at least two different growth conditions of the plant.

29. The movable platform according to claim 28, characterized in that The target position of the plant of each growth state in the target area is determined according to the position of the specific marker corresponding to the plant of this growth state in the second image.

30. The movable platform according to claim 18, characterized in that: When obtaining the first mapping relationship between vegetation index and plant growth, the first processor is specifically used to: obtain the type of plants in the target area and / or the geographical location of the target area; and obtain the first mapping relationship from a designated service platform based on the type of plants in the target area and / or the geographical location of the target area.

31. The movable platform according to claim 18, characterized in that: When obtaining the second mapping relationship between plant growth and fertilizer amount, the first processor is specifically used to: obtain the fertilizer amounts corresponding to at least two growth conditions of the plant set by the user, so as to determine the second mapping relationship between the plant growth and fertilizer amount.

32. The movable platform according to claim 31, characterized in that: The first processor is specifically used to determine a second mapping relationship between the growth potential of the plant and the fertilizer amount according to the fertilizer amounts corresponding to at least two growth potentials of the plant set by the user and a preset fertilizer amount range for this type of plant.

33. The movable platform according to claim 18, characterized in that: When obtaining the second mapping relationship between plant growth and fertilizer amount, the first processor is specifically used to: obtain the type of plants in the target area and / or the geographical location of the target area; and obtain the second mapping relationship from a designated service platform based on the type of plants in the target area and / or the geographical location of the target area.

34. The movable platform according to claim 18, characterized in that: The movable platform also includes a communication system; The communication system is used to upload at least one of the following information to a designated service platform: the geographical location of the target area, the type of plants in the target area, or a first mapping relationship between the vegetation index and plant growth.

35. The movable platform according to claim 31, characterized in that: The movable platform also includes a communication system; The communication system is used to upload at least one of the following information to a designated service platform: the geographical location of the target area, the type of plants in the target area, or a second mapping relationship between the growth of the plants and the amount of fertilizer applied.

36. The movable platform according to claim 18, characterized in that: The multi-spectral camera device includes at least one of the following components: a visible light camera, a red edge camera, a near infrared camera, a blue light camera, a green light camera or a red light camera.

37. The movable platform according to claim 18, characterized in that: The vegetation index pointed to by the vegetation index map includes at least one of the following: normalized vegetation index, normalized difference red edge index, green channel vegetation index, ratio vegetation index, difference vegetation index, atmospheric impedance vegetation index, soil adjustment vegetation index or enhanced vegetation index.

38. The movable platform according to claim 18, characterized in that: The movable platform includes at least: an unmanned aerial vehicle, an unmanned vehicle, an unmanned ship or a mobile robot.

39. An electronic device, characterized in that: The device comprises a communication module, a memory, a second processor, and a computer program stored in the memory and executable on the second processor; Wherein, the communication module is used to receive the multispectral image of the target area collected by the multispectral camera device; The second processor calls the computer program, and when the computer program is executed, is used to perform the following operations: Acquire a vegetation index map of the target area according to the multispectral image; Obtaining a first mapping relationship between a vegetation index and a plant growth potential, and a second mapping relationship between a plant growth potential and an amount of fertilizer; wherein obtaining the first mapping relationship comprises: determining at least two different growth potentials of the plant, and determining a target position of the plant of each growth potential in the target area, wherein the at least two different growth potentials of the plant are determined based on a user's operation; in the vegetation index map, obtaining a vegetation index value pointed to by the target position; determining the first mapping relationship between a vegetation index and a plant growth potential according to the at least two different growth potentials of the plant and the vegetation index value corresponding to each growth potential; generating an operation prescription map for the target area according to the first mapping relationship, the second mapping relationship, and the vegetation index map, wherein the operation prescription map is used to indicate the corresponding fertilizer amount for each plant in the target area; and The spreading system of the movable platform is controlled to perform the operation according to the operation prescription map.

40. The device according to claim 39, characterized in that When obtaining the vegetation index value pointed to by the target position, the second processor is specifically used to: obtain a statistical value of the vegetation index value within a specific range centered on the target position.

41. The device according to claim 39, characterized in that The number of target locations of the plant of each growth potential in the target area is at least two; When obtaining the vegetation index value pointed to by the target position, the second processor is specifically used to: obtain, for each growth tendency of the plant, statistical values ​​of at least two vegetation index values ​​pointed to by the target position.

42. The apparatus according to claim 39, characterized in that The target location is obtained by a user marking on the electronic device; the electronic device includes a positioning module, and the user is in the target area.

43. The apparatus according to claim 39, characterized in that The electronic device further comprises a display, wherein the display is used to display an interactive interface, and a first image obtained by photographing the target area is displayed on the interactive interface; The second processor is further configured to determine at least two different growth potentials of the plant based on a user's operation on the first image.

44. The device according to claim 43, characterized in that The target position of the plant of each growth state in the target area is determined according to the position of the plant of this growth state in the first image.

45. The apparatus according to claim 39, characterized in that The second processor is further used to: acquire a second image obtained by photographing the target area; at least two specific markers are set on the target area, and the specific markers are used to identify the growth of the plant; The second processor identifies the specific marker in the second image to determine at least two different growth conditions of the plant.

46. ​​The device according to claim 45, characterized in that The target position of the plant of each growth state in the target area is determined according to the position of the specific marker corresponding to the plant of this growth state in the second image.

47. The apparatus according to claim 39, characterized in that When obtaining the first mapping relationship between vegetation index and plant growth, the second processor is specifically used to: obtain the type of plants in the target area and / or the geographical location of the target area; and obtain the first mapping relationship from a designated service platform based on the type of plants in the target area and / or the geographical location of the target area.

48. The apparatus according to claim 39, characterized in that When obtaining the second mapping relationship between plant growth and fertilizer amount, the second processor is specifically used to: obtain the fertilizer amounts corresponding to at least two growth conditions of the plant set by the user to determine the second mapping relationship between the plant growth and fertilizer amount.

49. The device according to claim 48, characterized in that The second processor is specifically used to determine the second mapping relationship between the growth potential of the plant and the fertilizer amount according to the fertilizer amounts corresponding to at least two growth potentials of the plant set by the user and the preset fertilizer amount range for this type of plant.

50. The apparatus according to claim 48, characterized in that When obtaining the second mapping relationship between plant growth and fertilizer amount, the second processor is specifically used to: obtain the type of plants in the target area and / or the geographical location of the target area; and obtain the second mapping relationship from a designated service platform based on the type of plants in the target area and / or the geographical location of the target area.

51. The apparatus according to claim 39, characterized in that The communication module is further used to upload at least one of the following information to a designated service platform: the geographical location of the target area, the type of plants in the target area, or the first mapping relationship between the vegetation index and plant growth.

52. The apparatus according to claim 48, characterized in that The communication module is used to upload at least one of the following information to a designated service platform: the geographical location of the target area, the type of plants in the target area, or the second mapping relationship between the growth of the plants and the amount of fertilizer applied.

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