CN113492981A - Broadcast control method, device, terminal equipment, unmanned equipment and medium - Google Patents
Broadcast control method, device, terminal equipment, unmanned equipment and medium Download PDFInfo
- Publication number
- CN113492981A CN113492981A CN202010261318.0A CN202010261318A CN113492981A CN 113492981 A CN113492981 A CN 113492981A CN 202010261318 A CN202010261318 A CN 202010261318A CN 113492981 A CN113492981 A CN 113492981A
- Authority
- CN
- China
- Prior art keywords
- broadcast
- vegetation
- growth state
- unit
- area
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000003860 storage Methods 0.000 claims description 14
- 238000003892 spreading Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 11
- 239000003337 fertilizer Substances 0.000 claims description 9
- 230000003595 spectral effect Effects 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 4
- 230000002194 synthesizing effect Effects 0.000 claims description 4
- 238000009331 sowing Methods 0.000 description 40
- 230000003287 optical effect Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 4
- 238000010899 nucleation Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 238000005192 partition Methods 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 238000004904 shortening Methods 0.000 description 2
- 238000012271 agricultural production Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 238000002310 reflectometry Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D1/00—Dropping, ejecting, releasing, or receiving articles, liquids, or the like, in flight
- B64D1/16—Dropping or releasing powdered, liquid, or gaseous matter, e.g. for fire-fighting
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/265—Mixing
Landscapes
- Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Processing (AREA)
Abstract
The embodiment of the invention discloses a broadcast control method, a broadcast control device, terminal equipment, unmanned equipment and a medium. The method comprises the following steps: acquiring a growth state image of a region to be sown, wherein the growth state image comprises a plurality of unit regions; acquiring broadcast information respectively associated with each unit area according to the description information containing the vegetation growth state in each unit area, and generating a broadcast task; sending the broadcast task to unmanned equipment; the broadcast task is used for instructing the unmanned equipment to broadcast the unit areas by adopting broadcast information respectively associated with the unit areas. The embodiment of the invention can realize variable scattering in one-time scattering task and reduce the scattering cost.
Description
Technical Field
The embodiments of the present invention relate to data processing technologies, and in particular, to a broadcast control method, apparatus, terminal device, unmanned device, and medium.
Background
Along with the development of science and technology, traditional type agricultural production mode is gradually replaced by mechanized, informationized mode, for example, adopts unmanned aerial vehicle to carry out the low latitude operation, has characteristics such as use flexibility, small, with low costs, can promote agriculture and forestry vegetation flight operation's efficiency and precision by a wide margin.
The current unmanned equipment sowing technology firstly plans a whole operation area, then carries out one-time scale operation on the operation area, and can only execute fixed amount of sowing in one operation area. Generally, after the sowing task of seeds or fertilizers is completed, the vegetation growth conditions on the working area are not uniform, for example, some local areas grow normally, and some local areas grow poorly, so that the sowing needs to be performed again.
The existing solution is to respectively and correspondingly configure a plurality of sowing tasks with different sowing amounts according to the vegetation growth conditions, and execute the sowing tasks for a plurality of times through unmanned equipment or directly and manually sow the vegetation. The two modes are difficult, low in efficiency and incapable of realizing accurate scattering. Meanwhile, in the first mode, if the plant grows more frequently, the number of times of plant protection is linearly increased correspondingly.
Disclosure of Invention
The embodiment of the invention provides a sowing control method, a sowing control device, terminal equipment, unmanned equipment and a medium, which can realize variable sowing in one sowing task and reduce sowing cost.
In a first aspect, an embodiment of the present invention provides a broadcast control method, including:
acquiring a growth state image of a region to be sown, wherein the growth state image comprises a plurality of unit regions;
acquiring broadcast information respectively associated with each unit area according to the description information containing the vegetation growth state in each unit area, and generating a broadcast task;
sending the broadcast task to unmanned equipment;
the broadcast task is used for instructing the unmanned equipment to broadcast the unit areas by adopting broadcast information respectively associated with the unit areas.
In a second aspect, an embodiment of the present invention further provides a broadcast control method, including:
acquiring a growth state image of a region to be sown, wherein the growth state image comprises a plurality of unit regions;
acquiring broadcast information respectively associated with each unit area according to the vegetation growth state description information contained in each unit area, and generating broadcast tasks;
and performing scattering operation on each unit area by adopting the scattering information respectively associated with each unit area.
In a third aspect, an embodiment of the present invention further provides a broadcast control apparatus, including:
the device comprises a growth state image acquisition module, a data acquisition module and a data transmission module, wherein the growth state image acquisition module is used for acquiring a growth state image of a region to be sowed, and the growth state image comprises a plurality of unit regions;
the spreading task generation module is used for acquiring spreading information respectively associated with each unit area according to the vegetation growth state description information contained in each unit area and generating spreading tasks;
the broadcast task sending module is used for sending the broadcast task to the unmanned equipment; the broadcast task is used for instructing the unmanned equipment to broadcast the unit areas by adopting broadcast information respectively associated with the unit areas.
In a fourth aspect, an embodiment of the present invention further provides a broadcast control apparatus, including:
the device comprises a growth state image acquisition module, a data acquisition module and a data transmission module, wherein the growth state image acquisition module is used for acquiring a growth state image of a region to be sowed, and the growth state image comprises a plurality of unit regions;
the spreading task generation module is used for acquiring spreading information respectively associated with each unit area according to the vegetation growth state description information contained in each unit area and generating spreading tasks;
and the broadcast task execution module is used for performing broadcast operation on each unit area by adopting broadcast information respectively associated with each unit area.
In a fifth aspect, an embodiment of the present invention further provides a terminal device, which includes a memory, a processor, and a computer program that is stored in the memory and is executable on the processor, where when the processor executes the computer program, the broadcast control method according to the embodiment of the present invention is implemented.
In a sixth aspect, an embodiment of the present invention further provides an unmanned aerial vehicle, including a memory, a processor, and a computer program stored on the memory and operable on the processor, where the processor implements the broadcast control method according to the embodiment of the present invention when executing the program.
In a seventh aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the broadcast control method according to any one of the embodiments of the present invention.
According to the embodiment of the invention, the growth state image of the area to be broadcasted is obtained, the growth state image is divided into a plurality of unit areas, each unit area contains the description information of the vegetation growth state, the broadcast information of each unit area is obtained at the same time, the broadcast task is correspondingly generated and sent to the unmanned equipment to execute the broadcast operation, so that the unmanned equipment can broadcast each unit area in the area to be broadcasted according to different growth state information in a targeted manner, the problem that the broadcast cost is high due to the fact that the fixed amount of broadcast can be executed in one operation area in the prior art is solved, the broadcast task can be adaptively adjusted according to the growth state of the area to be broadcasted, excessive or too little broadcast is avoided, the broadcast efficiency is improved, and the broadcast cost is reduced.
Drawings
Fig. 1a is a flowchart of a broadcast control method according to an embodiment of the present invention;
FIG. 1b is a schematic diagram of an area to be sprayed according to an embodiment of the present invention;
fig. 2 is a flowchart of a broadcast control method according to a second embodiment of the present invention;
fig. 3 is a structural diagram of a broadcast control device according to a third embodiment of the present invention;
fig. 4 is a structural diagram of a broadcast control apparatus according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computer device according to a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1a is a flowchart of a broadcast control method according to an embodiment of the present invention, where this embodiment is applicable to a situation where an unmanned device performs broadcast operation, and the method may be executed by a broadcast control apparatus according to an embodiment of the present invention, where the apparatus may be implemented in a software and/or hardware manner, and may be generally integrated into an electronic device that provides a communication function with the unmanned device, for example, a terminal device. As shown in fig. 1a, the method of this embodiment specifically includes:
s110, obtaining a growth state image of the area to be sowed, wherein the growth state image comprises a plurality of unit areas.
The area to be sown can be an area where unmanned equipment performs sowing operation. Specifically, the vegetation may be a whole area including actual vegetation in a geographic space, that is, an actual geographic range area, or may be a local area including only vegetation to be sown again. The actual geographical range area can be determined according to the reclamation condition of the vegetation or the range of the area enclosed by the vegetation. Usually, the shape of the actual geographic area is an irregular shape, not a standard polygon, and the actual geographic area can be intercepted to form an area with a standard shape as an area to be broadcast.
The growth status image is used to describe the growth status of vegetation in the area to be sown. The growth state image comprises a plurality of unit areas, and the unit areas all belong to the range of the area to be sown, namely all the unit areas are located in the area to be sown. Meanwhile, the unit area contains the description information of the vegetation growth state. Furthermore, the description information of the vegetation growth states in different unit areas may be the same or different. In practice, the area to be broadcast is divided according to the growth state, and the division result is a plurality of unit areas included in the growth state image.
The descriptive information of the vegetation growth state is used for describing the growth state of the vegetation, and specifically can include the type of the vegetation and the growth grade of the vegetation.
Optionally, the acquiring a growth state image of the area to be broadcast includes: acquiring vegetation data matched with the area to be sowed, wherein the vegetation data comprises standard image data and/or spectral data; identifying vegetation indexes in the vegetation data, and generating a vegetation growth index image according to an identification result; according to the index division information, carrying out region division on the vegetation growth index image, and determining at least one unit region in the vegetation growth index image; and generating a growth state image according to the vegetation growth index image and each divided unit region, wherein the vegetation index range related to the unit region is used as the description information of the vegetation growth state contained in the unit region.
Vegetation data may refer to growth data of vegetation, and distinguishing by type may include: image data, and/or spectral data. The method specifically comprises the steps of collecting red, green and blue (RGB) image data of vegetation or color image data through a color camera, and/or collecting multispectral data of crops through a multispectral camera. The multispectral camera can be expanded towards the infrared light and the ultraviolet light on the basis of the visible light, and can simultaneously and respectively receive the information radiated or reflected by the same target on different narrow spectral bands through the combination of various optical filters or optical splitters and various photosensitive films to obtain the spectral data of several different spectral bands of the target. Because the reflection of the plants with different colors on the multispectral camera optical filter is different, a multispectral photographed effect image can be generated, namely, the vegetation data shows different color effects and respectively represents different types of plants.
The vegetation index is used to evaluate the growth state of vegetation, and may be an index reflecting the condition of land cover vegetation, for example. Specifically, the Vegetation Index includes Normalized Difference Vegetation Index (NDVI) or Normalized Red-Edge Index (NDRE), etc., where NDVI is equal to the quotient of the Difference and the sum of the reflectivities of the near-infrared channel and the visible channel. In addition, the vegetation index may further include a ratio vegetation index, an interpolation vegetation index, or a soil adjustment vegetation index, which may be set as required, and the embodiment of the present invention is not particularly limited.
Illustratively, the vegetation index includes NDVI, and correspondingly, the vegetation index is recognized in vegetation data, and a vegetation growth index image is generated according to a recognition result, specifically, collected spectral data is converted into pixel image data, pixel points corresponding to a near infrared band and a visible light band respectively are obtained, grid region division is performed on the pixel image data, the pixel points of the two different bands are respectively cut out, and NDVI is calculated according to the pixel points of the two different bands.
The vegetation growth index image contains the vegetation index of elements such as each pixel or each pixel group (including a plurality of pixels).
And index division information used for carrying out region division on the vegetation growth index image. The specific index division information may include the number of regions and/or a vegetation index range, etc. The index division information may be preset by the user or may be set by the user in real time. In addition, the index partition information may further include an Artificial Intelligence Algorithm (AI). Specifically, the AI algorithm may be to train the machine learning model by using a growth state image labeled in advance for each unit region, generate a unit region identification model, and input a vegetation growth index image to the unit region identification model to obtain an identification result of the unit region in the vegetation growth index image.
The division result of the vegetation growth index image is at least one unit area. The unit region may be an irregularly shaped region or a regularly shaped region. Generally, the vegetation index of an element covered by one unit area belongs to a vegetation index range, and the vegetation index range is determined according to index division information, can be directly set, or can be indirectly calculated and determined according to other data (the number of areas).
And the vegetation growth index image containing the division result is used as a growth state image. The unit area can display a vegetation index range formed by the vegetation indexes of all elements in the area, and the vegetation index range is used as description information of the vegetation growth state in the unit area.
Vegetation indexes are calculated according to vegetation data to form a vegetation growth index image, the area is divided according to index division information to form a growth state image, and therefore the area to be broadcasted is divided into a plurality of unit areas with different growth states, and then different broadcasting modes are broadcasted aiming at different unit areas in the area to be broadcasted.
Optionally, the acquiring vegetation data matched with the area to be sowed includes: acquiring at least one piece of local shot image data matched with the area to be broadcast, wherein the local shot image data comprises shot image data of the unmanned equipment; and splicing and synthesizing the local shot image data to form vegetation data.
The local shot image data comprises a local image of the area to be scattered, and actually, when the area to be scattered is shot, one image cannot cover the area to be scattered in order to clearly shoot the vegetation situation. A plurality of local images of the area to be sown can be acquired and spliced to form vegetation data of the area to be sown, and the vegetation data cover the area to be sown. The local shot image can be shot by unmanned equipment or other aerial equipment, and specifically, the aerial equipment with a common camera or a multispectral camera is used for carrying out flying shooting on the area to be broadcast.
The area to be broadcast is shot, the shot local shot image data are spliced to synthesize vegetation data, actual vegetation conditions are accurately obtained, and follow-up accurate broadcast is achieved.
Optionally, according to the index division information, performing region division on the vegetation growth index image, and determining at least one unit region in the vegetation growth index image, including: acquiring at least one alternative vegetation index range input by a user aiming at the vegetation growth index image; and respectively determining unit areas matched with the alternative vegetation index ranges in the vegetation growth index image, and taking the alternative vegetation index ranges as vegetation index ranges associated with the matched unit areas.
The alternative vegetation index range is used to determine a unit area in the vegetation growth index image. Specifically, a closed area formed by a plurality of pixel points belonging to a range of the candidate vegetation index is used as a unit area.
In a specific example, the vegetation index image has a vegetation index in the range of-1 to 1. The alternative vegetation index ranges are respectively configured as-1 to 0, 0 to 0.5 and 0.5 to 1, and accordingly, the vegetation growth index image may be divided into three regions, which are a first cell region, a second cell region and a third cell region, respectively. Generally, the higher the vegetation growth index, the better the vegetation's growth status. Thus, the growth state of the first cell region (-1 to 0) is the worst, the growth state of the second cell region (0 to 0.5) is the medium, and the growth state of the third cell region (0.5 to 1) is the best.
In addition, the alternative vegetation index range can be adjusted at will and is not limited to only three regions, and the alternative vegetation index range can be divided into more groups corresponding to more unit regions;
the unit areas are determined in the vegetation growth index image by acquiring the configurable alternative vegetation index range, so that the range of the unit areas can be flexibly configured, the sowing mode of the areas to be sown is flexibly configured, and the sowing flexibility of the areas to be sown is increased.
And S120, acquiring the broadcast information associated with each unit area, and generating a broadcast task, wherein the broadcast information is associated with the vegetation growth state in the unit area.
The broadcast information is used to determine broadcast data corresponding to each unit area, that is, to determine specific broadcast content of each unit area. There is associated broadcast information for each unit area. Specifically, the broadcast information associated with the unit area may be determined according to the description information including the vegetation growth state in the unit area.
Optionally, the sowing information includes a sowing type and a sowing amount, and the sowing type includes crop seeds and/or fertilizers.
Crop seeds and/or fertilizers are used to enhance the growth status of vegetation in the unit area. The seeding may be sowing the unit area, or spreading fertilizer to allow the unit area to be reseeded, or fertilizing to promote growth. The amount of seeding is used to determine the degree of improvement in the growth state of vegetation in the unit area. Generally, the degree of improvement in the growth state of vegetation can be increased by increasing the amount of seeding. It should be noted that if the amount of seeding is increased too much, the improvement of the growth state of vegetation may be reduced. The present invention is not limited to the above embodiments, which are set according to practical situations.
By configuring the sowing information into the sowing type and the sowing amount, the sowing content can be accurately configured, so that the growth state of the vegetation can be accurately improved.
The sowing task is executed by the unmanned equipment so as to realize that the unmanned equipment performs sowing on the area to be sowed. Specifically, the scattering task is used for realizing that the unmanned equipment scatters each unit area in the area to be scattered, wherein the scattering amount of the unit area is 0.
The broadcast information is associated with the vegetation growth state in the unit area, and the broadcast information of the unit area is matched with the vegetation growth state in the unit area. For example, when the vegetation in the unit area has a poor growth state, the sowing information may be to perform sowing of corresponding vegetation seeds or fertilizers; when the vegetation growth state of the unit area is good, the sowing information may not be carried out.
And S130, sending the broadcast task to the unmanned equipment so that the unmanned equipment performs flight operation according to the broadcast task, and respectively broadcasting each unit area in the area to be broadcast according to broadcast information associated with each unit area.
The unmanned equipment is used for executing a scattering task and scattering the area to be scattered, and more specifically, according to the related scattering information in the unit area, the unit areas are scattered in different scattering modes. The unmanned device can be unmanned flight device (such as unmanned aerial vehicle), unmanned driving device (such as unmanned vehicle) or unmanned navigation device (such as unmanned ship) and the like.
And respectively broadcasting each unit area in the to-be-broadcasted area aiming at the broadcast information associated with each unit area, wherein the indication that the to-be-broadcasted area is broadcasted according to different broadcast modes is that the to-be-broadcasted area is broadcasted so as to realize accurate and different broadcast of one area.
On the basis of the foregoing embodiment, optionally, after acquiring the growth state image of the region to be broadcast, the method further includes: displaying the growth state image and broadcast information setting items respectively corresponding to the unit areas; the acquiring broadcast information respectively associated with each of the unit areas includes: and acquiring broadcast information related to each unit area input by a user aiming at each broadcast information setting item.
The broadcast information setting item is for displaying to a user in a display screen and receiving broadcast information input by the user. Each unit area corresponds to a broadcast information setting item, and the broadcast information setting items corresponding to different unit areas can be the same or different. Each broadcast information setting item is respectively matched with at least one unit area, and data input by a user aiming at one broadcast information setting item is used as broadcast information associated with at least one unit area corresponding to the broadcast information setting item.
More specifically, the broadcast information sets items for selecting a broadcast type, and a broadcast amount. Specifically, the sowing type may include a vegetation type in a unit area corresponding to the sowing information setting item and a fertilizer corresponding to the vegetation type in the corresponding unit area.
Illustratively, as shown in fig. 1b, the upper image of the terminal interface is a growth state image, the middle area is a flight parameter setting area, and the lower area is a broadcast information setting item. Illustratively, each unit area corresponds to one broadcast information setting item for setting broadcast information. For example, the first unit area (worst growth state) may configure the first broadcast information setting item with the largest broadcast amount; the second unit area (in the growing state, etc.) can be configured with half of the maximum value of the second broadcast information setting item with medium broadcast quantity; the third unit area (preferably, the growth state) may be configured with the smallest scattering amount, such as 0, in the third scattering information setting item.
By displaying the broadcast information setting items to the user, the broadcast information set by the user for any unit area can be acquired, so that different broadcast modes in the area to be broadcast can be flexibly configured.
Optionally, the generating a broadcast task includes: acquiring flight parameters input by a user; and generating a broadcast task according to broadcast information associated with each unit area and the flight parameters.
The unmanned device is an unmanned aerial vehicle, the flight parameters are used for controlling the flight mode of the unmanned device, and the flight parameters can include the flight height and/or the flight speed of the unmanned device. If not entered by the user, default preset flight parameters may be employed.
The flight parameters of each unit area in the area to be sown can be the same or different. That is, one flight parameter may be set for each unit area.
By configuring the broadcast information and the flight parameters of the unit area, the flight mode and the broadcast mode of the unmanned equipment can be determined, so that a broadcast task is generated, the broadcast and the flight of the unmanned equipment are accurately controlled, and the operation precision and the flexibility of the unmanned equipment are improved.
According to the embodiment of the invention, the growth state image of the area to be broadcasted is obtained, the growth state image is divided into a plurality of unit areas, each unit area contains the description information of the vegetation growth state, the broadcast information of each unit area is obtained at the same time, the broadcast task is correspondingly generated and sent to the unmanned equipment to execute flight operation, so that the unmanned equipment can broadcast each unit area in the area to be broadcasted in a targeted manner according to different growth state information, the problem that the broadcast cost is high due to the fact that the fixed amount of broadcast can be executed in one operation area in the prior art is solved, the broadcast task can be adaptively adjusted according to the growth state of the area to be broadcasted, excessive or too little broadcast is avoided, the broadcast efficiency is improved, and the broadcast cost is reduced.
Example two
Fig. 2 is a flowchart of a broadcast control method according to a second embodiment of the present invention, which is applicable to a situation where an unmanned device generates a broadcast task and performs broadcast operation, and the method may be executed by a broadcast control apparatus according to the second embodiment of the present invention, where the apparatus may be implemented in a software and/or hardware manner, and may be generally integrated into an electronic device that provides a communication function with the unmanned device, for example, the unmanned device. The method of the embodiment specifically includes:
s210, acquiring a growth state image of the area to be sown, wherein the growth state image comprises a plurality of unit areas.
It should be noted that, in the present embodiment, the description information, the broadcast task, and the spraying amount of the area to be broadcast, the growth state image, the unit area, the vegetation growth state may all refer to the description of the above embodiments.
And S220, acquiring the broadcast information respectively associated with each unit area according to the vegetation growth state description information contained in each unit area, and generating a broadcast task.
Optionally, the obtaining broadcast information respectively associated with each of the unit areas includes: sending the growth state image to a terminal device so as to enable the terminal device to display the growth state image and broadcast information setting items corresponding to the cell areas respectively; and receiving broadcast information which is sent by the terminal equipment and is associated with each unit area and is input by a user aiming at each broadcast information setting item.
The growth state image is sent to the terminal equipment, the broadcast information setting items corresponding to the unit areas are constructed and displayed, so that a user can set the broadcast information of the unit areas through the terminal equipment, broadcast information set by the user aiming at any unit area is obtained, and different broadcast modes in the area to be broadcast are flexibly configured.
Optionally, the sowing information includes a sowing type and a sowing amount, and the sowing type includes crop seeds and/or fertilizers.
And S230, performing scattering operation on each unit area by adopting the scattering information respectively associated with each unit area.
Optionally, the acquiring a growth state image of the area to be broadcast includes: acquiring vegetation data matched with the area to be sowed, wherein the vegetation data comprises standard image data and/or spectral data; identifying vegetation indexes in the vegetation data, and generating a vegetation growth index image according to an identification result; according to the index division information, carrying out region division on the vegetation growth index image, and determining at least one unit region in the vegetation growth index image; and generating a growth state image according to the vegetation growth index image and each divided unit region, wherein the vegetation index range related to the unit region is used as the description information of the vegetation growth state.
Specifically, the index partition information may include at least one of: the number of the local areas, the vegetation index range, the AI algorithm and the like which are sent by the terminal equipment. The number of the local areas and the vegetation index range can be set by a user through terminal equipment.
Optionally, the dividing the vegetation growth index image into regions according to the index division information, and determining at least one unit region in the vegetation growth index image includes: acquiring at least one alternative vegetation index range input by a user aiming at the vegetation growth index image; and respectively determining unit areas matched with the alternative vegetation index ranges in the vegetation growth index image, and taking the alternative vegetation index ranges as vegetation index ranges associated with the matched unit areas.
The range of the alternative vegetation index can be set by the user through the terminal device, and the range of the alternative vegetation index is sent to the unmanned device by the terminal device.
Optionally, the acquiring vegetation data matched with the area to be sowed includes: acquiring at least one piece of local shot image data matched with the area to be broadcast, wherein the local shot image data comprises shot image data of the unmanned equipment; and splicing and synthesizing the local shot image data to form vegetation data.
The local captured image data may be image data directly captured by the unmanned device, or may be image data captured by another aerial device and transmitted to the unmanned device.
Optionally, the generating a broadcast task includes: acquiring flight parameters input by a user; and generating a broadcast task according to broadcast information associated with each unit area and the flight parameters.
Specifically, the unmanned aerial vehicle is an unmanned aerial vehicle, and the flight parameters can be set by a user through the terminal device and sent to the unmanned aerial vehicle by the terminal device.
The embodiment of the invention directly acquires the growth state image of the area to be broadcasted through the unmanned equipment, the growth state image is divided into a plurality of unit areas, each unit area comprises the description information of the vegetation growth state, simultaneously acquires the broadcast information of each unit area, correspondingly generates the broadcast task and sends the broadcast task to the unmanned equipment to execute flight operation, thereby realizing that the unmanned equipment broadcasts each unit area in the area to be broadcasted according to different growth state information in a targeted manner, solving the problem that the prior art can only execute fixed amount of broadcast in one operation area, which causes high cost of broadcast again, adaptively adjusting the broadcast task according to the growth state of the area to be broadcasted, avoiding excessive or too little broadcast, improving the broadcast efficiency, reducing the broadcast cost, simultaneously being directly completed by the unmanned equipment, shortening the broadcast task and the time for executing the broadcast task, improve the accurate efficiency of scattering.
EXAMPLE III
Fig. 3 is a schematic diagram of a broadcast control device according to a third embodiment of the present invention. The third embodiment is a corresponding device for implementing the broadcast control method provided by the above embodiment of the present invention.
Accordingly, the apparatus of the present embodiment may include:
a growth state image obtaining module 310, configured to obtain a growth state image of a region to be broadcast, where the growth state image includes a plurality of unit regions;
a broadcast task generating module 320, configured to obtain broadcast information respectively associated with each unit area according to the description information of the vegetation growth state included in each unit area, and generate a broadcast task;
a broadcast task sending module 330, configured to send the broadcast task to an unmanned device; the broadcast task is used for instructing the unmanned equipment to broadcast the unit areas by adopting broadcast information respectively associated with the unit areas.
According to the embodiment of the invention, the growth state image of the area to be broadcasted is obtained, the growth state image is divided into a plurality of unit areas, each unit area contains the description information of the vegetation growth state, the broadcast information of each unit area is obtained at the same time, the broadcast task is correspondingly generated and sent to the unmanned equipment to execute flight operation, so that the unmanned equipment can broadcast each unit area in the area to be broadcasted in a targeted manner according to different growth state information, the problem that the broadcast cost is high due to the fact that the fixed amount of broadcast can be executed in one operation area in the prior art is solved, the broadcast task can be adaptively adjusted according to the growth state of the area to be broadcasted, excessive or too little broadcast is avoided, the broadcast efficiency is improved, and the broadcast cost is reduced.
Further, the sowing control device further includes: the broadcast information setting item display module is used for displaying the growth state image and broadcast information setting items respectively corresponding to each unit area after acquiring the growth state image of the area to be broadcast; the broadcast task generating module 320 includes: and the broadcast information acquisition unit is used for acquiring broadcast information related to each unit area input by a user aiming at each broadcast information setting item.
Further, the growth status image obtaining module 310 includes: the vegetation data analysis unit is used for acquiring vegetation data matched with the area to be sowed, and the vegetation data comprises standard image data and/or spectral data; identifying vegetation indexes in the vegetation data, and generating a vegetation growth index image according to an identification result; according to the index division information, carrying out region division on the vegetation growth index image, and determining at least one unit region in the vegetation growth index image; and generating a growth state image according to the vegetation growth index image and each divided unit region, wherein the vegetation index range related to the unit region is used as the description information of the vegetation growth state contained in the unit region.
Further, the vegetation data analysis unit includes: the unit area dividing subunit is used for acquiring at least one alternative vegetation index range input by a user aiming at the vegetation growth index image; and respectively determining unit areas matched with the alternative vegetation index ranges in the vegetation growth index image, and taking the alternative vegetation index ranges as vegetation index ranges associated with the matched unit areas.
Further, the vegetation data analysis unit includes: the local image splicing unit is used for acquiring at least one piece of local shot image data matched with the area to be broadcast, wherein the local shot image data are obtained by shooting through the unmanned equipment; and splicing and synthesizing the local shot image data to form vegetation data.
Further, the sowing information comprises a sowing type and a sowing amount, and the sowing type comprises crop seeds and/or fertilizers.
Further, the broadcast task generating module 320 includes: the flight parameter acquisition unit is used for acquiring flight parameters input by a user; and generating a broadcast task according to broadcast information associated with each unit area and the flight parameters.
The device can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 4 is a schematic diagram of a broadcast control device according to a fourth embodiment of the present invention. The fourth embodiment is a corresponding apparatus for implementing the broadcast control method provided by the foregoing embodiments of the present invention.
Accordingly, the apparatus of the present embodiment may include:
a growth state image obtaining module 410, configured to obtain a growth state image of a region to be broadcast, where the growth state image includes a plurality of unit regions;
a broadcast task generating module 420, configured to obtain broadcast information respectively associated with each unit area according to the description information of the vegetation growth state included in each unit area, and generate a broadcast task;
a broadcast task executing module 430, configured to perform broadcast operations on each unit area by using broadcast information respectively associated with each unit area.
The embodiment of the invention directly acquires the growth state image of the area to be broadcasted through the unmanned equipment, the growth state image is divided into a plurality of unit areas, each unit area comprises the description information of the vegetation growth state, simultaneously acquires the broadcast information of each unit area, correspondingly generates the broadcast task and sends the broadcast task to the unmanned equipment to execute flight operation, thereby realizing that the unmanned equipment broadcasts each unit area in the area to be broadcasted according to different growth state information in a targeted manner, solving the problem that the prior art can only execute fixed amount of broadcast in one operation area, which causes high cost of broadcast again, adaptively adjusting the broadcast task according to the growth state of the area to be broadcasted, avoiding excessive or too little broadcast, improving the broadcast efficiency, reducing the broadcast cost, simultaneously being directly completed by the unmanned equipment, shortening the broadcast task and the time for executing the broadcast task, improve the accurate efficiency of scattering.
Further, the broadcast task generating module 420 includes: a broadcast information receiving unit, configured to send the growth state image to a terminal device, so that the terminal device displays the growth state image and broadcast information setting items corresponding to the cell areas, respectively; and receiving broadcast information which is sent by the terminal equipment and is associated with each unit area and is input by a user aiming at each broadcast information setting item.
The device can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a computer device according to a fifth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in FIG. 5 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention. Wherein the computer device comprises: terminal equipment or unmanned equipment.
As shown in FIG. 5, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16. The computer device 12 may be a device that is attached to a bus.
Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, and commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk Read-Only Memory (CD-ROM), Digital Video disk (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
Computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with computer device 12, and/or with any devices (e.g., network card, modem, etc.) that enable computer device 12 to communicate with one or more other computing devices. Such communication may be through an Input/Output (I/O) interface 22. Also, computer device 12 may communicate with one or more networks (e.g., Local Area Network (LAN), Wide Area Network (WAN)) via Network adapter 20. As shown, Network adapter 20 communicates with other modules of computer device 12 via bus 18. it should be understood that although not shown in FIG. 5, other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to microcode, device drivers, Redundant processing units, external disk drive Arrays (RAID) systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing, such as implementing the methods provided by any of the embodiments of the present invention, by executing programs stored in the system memory 28.
EXAMPLE six
The sixth embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the page exception handling method provided in all the embodiments of the present invention:
that is, the program when executed by the processor implements: acquiring a growth state image of a region to be sown, wherein the growth state image comprises a plurality of unit regions; acquiring broadcast information respectively associated with each unit area according to the description information containing the vegetation growth state in each unit area, and generating a broadcast task; sending the broadcast task to unmanned equipment; the broadcast task is used for instructing the unmanned equipment to broadcast the unit areas by adopting broadcast information respectively associated with the unit areas.
Or realize that: acquiring a growth state image of a region to be sown, wherein the growth state image comprises a plurality of unit regions; acquiring broadcast information respectively associated with each unit area according to the vegetation growth state description information contained in each unit area, and generating broadcast tasks; and performing scattering operation on each unit area by adopting the scattering information respectively associated with each unit area.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a RAM, a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable CD-ROM, an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a LAN or a WAN, or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (14)
1. A broadcast control method, comprising:
acquiring a growth state image of a region to be sown, wherein the growth state image comprises a plurality of unit regions;
acquiring broadcast information respectively associated with each unit area according to the description information containing the vegetation growth state in each unit area, and generating a broadcast task;
sending the broadcast task to unmanned equipment;
the broadcast task is used for instructing the unmanned equipment to broadcast the unit areas by adopting broadcast information respectively associated with the unit areas.
2. The method of claim 1, further comprising, after acquiring the growth status image of the area to be broadcast:
displaying the growth state image and broadcast information setting items respectively corresponding to the unit areas;
the acquiring broadcast information respectively associated with each of the unit areas includes:
and acquiring broadcast information related to each unit area input by a user aiming at each broadcast information setting item.
3. The method of claim 1, wherein the obtaining the growth status image of the area to be broadcast comprises:
acquiring vegetation data matched with the area to be sowed, wherein the vegetation data comprises standard image data and/or spectral data;
identifying vegetation indexes in the vegetation data, and generating a vegetation growth index image according to an identification result;
according to the index division information, carrying out region division on the vegetation growth index image, and determining at least one unit region in the vegetation growth index image;
and generating a growth state image according to the vegetation growth index image and each divided unit region, wherein the vegetation index range related to the unit region is used as the description information of the vegetation growth state contained in the unit region.
4. The method of claim 3, wherein the area-dividing the vegetation growth index image according to the index division information, and determining at least one unit area in the vegetation growth index image comprises:
acquiring at least one alternative vegetation index range input by a user aiming at the vegetation growth index image;
and respectively determining unit areas matched with the alternative vegetation index ranges in the vegetation growth index image, and taking the alternative vegetation index ranges as vegetation index ranges associated with the matched unit areas.
5. The method of claim 3, wherein the obtaining vegetation data that matches the area to be planted comprises:
acquiring at least one piece of local shot image data matched with the area to be broadcast, wherein the local shot image data comprises shot image data of the unmanned equipment;
and splicing and synthesizing the local shot image data to form vegetation data.
6. The method of claim 1, wherein the broadcast information includes a broadcast type and a broadcast amount, the broadcast type including crop seeds and/or fertilizer.
7. The method of claim 1, wherein generating the broadcast task comprises:
acquiring flight parameters input by a user;
and generating a broadcast task according to broadcast information associated with each unit area and the flight parameters.
8. A broadcast control method, comprising:
acquiring a growth state image of a region to be sown, wherein the growth state image comprises a plurality of unit regions;
acquiring broadcast information respectively associated with each unit area according to the vegetation growth state description information contained in each unit area, and generating broadcast tasks;
and performing scattering operation on each unit area by adopting the scattering information respectively associated with each unit area.
9. The method of claim 8, wherein said obtaining broadcast information associated with each of said unit areas comprises:
sending the growth state image to a terminal device so as to enable the terminal device to display the growth state image and broadcast information setting items corresponding to the cell areas respectively;
and receiving broadcast information which is sent by the terminal equipment and is associated with each unit area and is input by a user aiming at each broadcast information setting item.
10. A broadcast control device, comprising:
the device comprises a growth state image acquisition module, a data acquisition module and a data transmission module, wherein the growth state image acquisition module is used for acquiring a growth state image of a region to be sowed, and the growth state image comprises a plurality of unit regions;
the spreading task generation module is used for acquiring spreading information respectively associated with each unit area according to the vegetation growth state description information contained in each unit area and generating spreading tasks;
the broadcast task sending module is used for sending the broadcast task to the unmanned equipment; the broadcast task is used for instructing the unmanned equipment to broadcast the unit areas by adopting broadcast information respectively associated with the unit areas.
11. A broadcast control device, comprising:
the device comprises a growth state image acquisition module, a data acquisition module and a data transmission module, wherein the growth state image acquisition module is used for acquiring a growth state image of a region to be sowed, and the growth state image comprises a plurality of unit regions;
the spreading task generation module is used for acquiring spreading information respectively associated with each unit area according to the vegetation growth state description information contained in each unit area and generating spreading tasks;
and the broadcast task execution module is used for performing broadcast operation on each unit area by adopting broadcast information respectively associated with each unit area.
12. A terminal device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the broadcast control method according to any of claims 1-7 when executing the program.
13. An unmanned device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the broadcast control method according to any of claims 8-9 when executing the program.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a broadcast control method according to any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010261318.0A CN113492981B (en) | 2020-04-03 | 2020-04-03 | Broadcasting control method, broadcasting control device, terminal equipment, unmanned equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010261318.0A CN113492981B (en) | 2020-04-03 | 2020-04-03 | Broadcasting control method, broadcasting control device, terminal equipment, unmanned equipment and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113492981A true CN113492981A (en) | 2021-10-12 |
| CN113492981B CN113492981B (en) | 2024-04-09 |
Family
ID=77995127
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010261318.0A Active CN113492981B (en) | 2020-04-03 | 2020-04-03 | Broadcasting control method, broadcasting control device, terminal equipment, unmanned equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113492981B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114916298A (en) * | 2022-03-15 | 2022-08-19 | 沈阳农业大学 | Variable broadcast sowing and fertilizing device and method for agricultural unmanned aerial vehicle |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10026165B1 (en) * | 2011-07-05 | 2018-07-17 | Bernard Fryshman | Object image recognition and instant active response |
| CN108334110A (en) * | 2018-02-06 | 2018-07-27 | 首欣（北京）科技有限公司 | A kind of forestry disease monitoring method and apparatus based on unmanned plane |
| CN108693119A (en) * | 2018-04-20 | 2018-10-23 | 北京麦飞科技有限公司 | Pest and disease damage based on unmanned plane high-spectrum remote-sensing intelligently examines the system of beating |
| CN109122634A (en) * | 2018-08-10 | 2019-01-04 | 华南农业大学 | A kind of unmanned plane region based on machine vision is to target variable farm chemical applying control device and method |
| JP2019085058A (en) * | 2017-11-10 | 2019-06-06 | ヤンマー株式会社 | Spray implement |
| CN110794862A (en) * | 2019-11-20 | 2020-02-14 | 深圳市益鑫智能科技有限公司 | Plant protection fixed wing unmanned flight path planning control method |
-
2020
- 2020-04-03 CN CN202010261318.0A patent/CN113492981B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10026165B1 (en) * | 2011-07-05 | 2018-07-17 | Bernard Fryshman | Object image recognition and instant active response |
| JP2019085058A (en) * | 2017-11-10 | 2019-06-06 | ヤンマー株式会社 | Spray implement |
| CN108334110A (en) * | 2018-02-06 | 2018-07-27 | 首欣（北京）科技有限公司 | A kind of forestry disease monitoring method and apparatus based on unmanned plane |
| CN108693119A (en) * | 2018-04-20 | 2018-10-23 | 北京麦飞科技有限公司 | Pest and disease damage based on unmanned plane high-spectrum remote-sensing intelligently examines the system of beating |
| CN109122634A (en) * | 2018-08-10 | 2019-01-04 | 华南农业大学 | A kind of unmanned plane region based on machine vision is to target variable farm chemical applying control device and method |
| CN110794862A (en) * | 2019-11-20 | 2020-02-14 | 深圳市益鑫智能科技有限公司 | Plant protection fixed wing unmanned flight path planning control method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114916298A (en) * | 2022-03-15 | 2022-08-19 | 沈阳农业大学 | Variable broadcast sowing and fertilizing device and method for agricultural unmanned aerial vehicle |
| CN114916298B (en) * | 2022-03-15 | 2023-08-15 | 沈阳农业大学 | Variable broadcasting and fertilizing device and method for agricultural unmanned aerial vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113492981B (en) | 2024-04-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20200364629A1 (en) | Method for mapping crop yields | |
| CN112889089B (en) | Machine learning techniques for identifying clouds and cloud shadows in satellite imagery | |
| CN111406261B (en) | Computer-implemented method for detecting infected object from large-field-of-view image | |
| US11657597B2 (en) | Cloud detection on remote sensing imagery | |
| CN113228055B (en) | Method and medium for configuring and utilizing convolutional neural networks to identify plant diseases | |
| UA126111C2 (en) | Systems and methods for image capture and analysis of agricultural fields | |
| US11686880B2 (en) | Generating and conveying comprehensive weather insights at fields for optimal agricultural decision making | |
| CN113163710B (en) | System and method for identifying and utilizing test sites in an agricultural field | |
| US11763441B2 (en) | Information processing apparatus | |
| US20190059203A1 (en) | System and method for prescribing fertilizer application rates for spatial distribution of a product | |
| US20220405863A1 (en) | Information processing device, information processing method, and program | |
| CN113228041A (en) | Detection of infection by plant diseases using improved machine learning | |
| US20200245525A1 (en) | Yield estimation in the cultivation of crop plants | |
| WO2021087685A1 (en) | Operation planning method and device combining multispectral and earth surface semantic information, and apparatus | |
| CN114331753A (en) | Intelligent farm work method and device and control equipment | |
| CN113492981B (en) | Broadcasting control method, broadcasting control device, terminal equipment, unmanned equipment and medium | |
| US20190012749A1 (en) | Dynamic cost function calculation for agricultural users | |
| CN116399401B (en) | Agricultural planting system and method based on artificial intelligence | |
| CN111753687A (en) | Seedling shortage identification method and device, electronic equipment and computer readable storage medium | |
| CN111815772B (en) | Plateau mountain land utilization method, system, storage medium and computer equipment | |
| CN112425328A (en) | Multi-material spreading control method and device, terminal equipment, unmanned equipment and medium | |
| US20220398841A1 (en) | Information processing device, information processing method, and program | |
| CN112565726B (en) | Method for determining job prescription chart, job control method and related device | |
| WO2021149355A1 (en) | Information processing device, information processing method, and program | |
| JP7510305B2 (en) | Work management system, work management method, and work management program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |