CN114946350A - Farming pertinence intelligence fertilizer injection unit - Google Patents
Farming pertinence intelligence fertilizer injection unit Download PDFInfo
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- CN114946350A CN114946350A CN202210403781.3A CN202210403781A CN114946350A CN 114946350 A CN114946350 A CN 114946350A CN 202210403781 A CN202210403781 A CN 202210403781A CN 114946350 A CN114946350 A CN 114946350A
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- 239000003337 fertilizer Substances 0.000 title claims abstract description 57
- 238000009313 farming Methods 0.000 title claims description 3
- 238000002347 injection Methods 0.000 title claims description 3
- 239000007924 injection Substances 0.000 title claims description 3
- 238000012545 processing Methods 0.000 claims abstract description 39
- 230000004720 fertilization Effects 0.000 claims abstract description 36
- 230000007480 spreading Effects 0.000 claims abstract description 28
- 238000003892 spreading Methods 0.000 claims abstract description 28
- 238000012544 monitoring process Methods 0.000 claims abstract description 25
- 238000004364 calculation method Methods 0.000 claims abstract description 24
- 238000000034 method Methods 0.000 claims abstract description 19
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C15/00—Fertiliser distributors
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C39/00—Aircraft not otherwise provided for
- B64C39/02—Aircraft not otherwise provided for characterised by special use
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4038—Image mosaicing, e.g. composing plane images from plane sub-images
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
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Abstract
The invention discloses a targeted intelligent fertilizer applying device for agricultural planting, wherein a data acquisition module acquires real-time images of crops by using a spectrum camera, a data processing module preprocesses the acquired images, an identification and calculation module identifies the growth state and the density of the crops and outputs a fertilizer application amount control signal, an intelligent flight control module intelligently controls a plurality of groups of unmanned aerial vehicles to carry out spreading work, a spreading control module controls an electromagnetic metering valve to regulate and control the output spreading amount, and a terminal monitoring module is used for remotely monitoring whether the spreading amount of a spreading block reaches the standard or not; according to the intelligent agricultural planting management method, the unmanned aerial vehicle is used for collecting farmland data to process and analyze, the farmland is divided into a plurality of blocks in a targeted manner, and the unmanned aerial vehicle is used for carrying out targeted fertilization on the blocks, so that nutrition supplement is carried out on the crops with poor nutrition while the normal crop growth is met, intelligent fertilization is truly realized, manual intervention is not needed in the whole process, the intelligent degree is high, and the good planting management method is provided for intelligent agricultural planting.
Description
Technical Field
The invention relates to the technical field of agricultural planting, in particular to an intelligent targeted fertilization device for agricultural planting.
Background
No matter a series of mobile operation agricultural implements such as plowing and soil preparation, planting, fertilizing, field management, plant protection, harvesting, farmland basic construction and the like replace a traditional internal combustion engine as a power source through a driving motor, the energy and environment problems can be effectively solved, and the agricultural machine is the development direction of agricultural machinery in recent years;
the requirements of agricultural planting technology on agricultural machinery are higher and higher, corresponding fertilizers need to be applied additionally in different growth periods to supplement nutrient elements which are lacked in the growth process of crops, and the traditional fertilizer applicator can only manually adjust the fertilizing amount, cannot obtain more crop information in the fertilizing operation and cannot perform better scientific planting;
most of farmland fertilization is carried out by applying fertilizer according to manual judgment according to experience, the nutrition mixing amount of fertilizers used for fertilizing one farmland is the same, so that the nutrition absorbed by crops can be the same, the crops with poor nutrition still exist in the farmland, the balanced growth of the crops cannot be met, and the fluctuation of the crop yield is caused.
Disclosure of Invention
In view of the above problems, the invention aims to provide an intelligent agricultural planting targeted fertilization device, which can supplement nutrients to malnourished crops while meeting the requirement of normal crop growth, really realizes intelligent fertilization, does not need manual intervention in the whole process, and has high intelligent degree.
In order to realize the purpose of the invention, the invention is realized by the following technical scheme: a targeted intelligent fertilizing device for agricultural planting comprises a collecting and processing system and a control fertilizing system, wherein the collecting and processing system comprises a data acquisition module, a data processing module and an identification and calculation module, the data acquisition module acquires real-time images of crops through a spectrum camera carried by an unmanned aerial vehicle, the data processing module is used for preprocessing the acquired real-time images, and the identification and calculation module is used for identifying the growth state and density of the crops according to the processed images and intelligently outputting fertilizing amount control signals;
the intelligent flying control module intelligently controls a plurality of groups of unmanned aerial vehicles to carry out spreading work according to a fertilizing amount control signal, the spreading control module controls an electromagnetic metering valve to regulate and control output spreading amount according to the fertilizing amount control signal, and the terminal monitoring module is used for remotely monitoring whether the fertilizer allowance of the plurality of groups of unmanned aerial vehicles and the spreading amount of a spreading area reach the standard or not.
The further improvement lies in that: the data acquisition module comprises a GPS positioning submodule and a plane composition submodule, the GPS positioning submodule is used for positioning and calculating the growth height of crops according to the flight height of the unmanned aerial vehicle, and the plane composition submodule is used for splicing real-time images acquired by the unmanned aerial vehicle to form a complete farmland range plane map.
The further improvement lies in that: the method for preprocessing the image by the data processing module comprises the following steps
S1, carrying out graying processing on the collected image, and carrying out binarization processing on the grayed image to obtain a binarized image;
s2, denoising the binary image based on a wavelet transform and median filtering method, and performing gradient correction on the denoised image to obtain a regular image;
and S3, performing character cutting processing on the obtained regular image, and performing normalization processing on the cut image blocks to obtain a processed image.
The further improvement lies in that: the identification calculation module comprises a pre-stored submodule, a comparison identification submodule and a calculation submodule, wherein the pre-stored submodule is used for importing collected crop growth state and density pictures in advance for comparison identification, and the pictures pre-stored by the pre-stored submodule are also preprocessed;
the comparison and identification submodule is used for comparing the real-time image processed by the data processing module with the processed crop image imported in advance to obtain the growth state and density data of the farmland crops;
and the calculation submodule generates corresponding fertilizing amount data according to the growth states and densities of crops in different blocks of the farmland and converts the fertilizing amount data into PWM signals to output.
The further improvement lies in that: the characteristics of the comparison and identification submodule for comparing and identifying the crops comprise the growth height of the crops, the growth density of the crops, the leaf state of the crops and the diameter of a crop plant rod.
The further improvement is that: the specific method for carrying out comparison identification by the comparison identification submodule comprises
E1, establishing an image character feature extraction model, and sorting the processed pictures prestored in the prestored sub-modules into a training set;
e2, training the established image character feature extraction model by using a processed picture training set prestored in a prestored submodule as input to obtain a trained extraction model;
e3, processing the farmland real-time picture information acquired by the data acquisition module through the data processing module to be used as input, importing the image into the trained extraction model, and finally outputting the recognition result.
The further improvement lies in that: the identification and calculation module further comprises a block fertilizing amount generation submodule, and the block fertilizing amount generation submodule is used for generating a block fertilizing amount plane distribution diagram according to fertilizing amount data output by the calculation submodule and by combining a farmland crop growth state and a density plane diagram obtained by the data acquisition module.
The further improvement lies in that: the intelligent flight control module comprises an unmanned aerial vehicle transferring submodule and a flight track generating submodule, the unmanned aerial vehicle transferring submodule is used for transferring a plurality of groups of unmanned aerial vehicles to fertilize according to fertilizing amounts of different blocks of a farmland, and the flight track generating submodule is used for generating extension-free flight tracks according to the fertilizing amounts of the different blocks to control the unmanned aerial vehicle to fly and fertilize.
The further improvement lies in that: the fertilizer spreading control module comprises a fertilizer storage box, a material quantity sensor, a solenoid valve, a fertilizer spreading opening and a single chip microcomputer, the fertilizer storage box is used for storing different kinds of fertilizers, the fertilizer storage box is divided into a plurality of groups of secondary material boxes, the material quantity sensor is arranged inside the fertilizer storage box, the solenoid valve and the fertilizer spreading opening are arranged below the fertilizer storage box, and the solenoid valve and the single chip microcomputer are electrically connected and controlled by the single chip microcomputer.
The further improvement lies in that: the terminal monitoring module contains monitoring host computer and unmanned aerial vehicle control submodule piece, the monitoring host computer is used for real time monitoring farmland fertilization state and surplus block fertilization volume, unmanned aerial vehicle control submodule piece is used for controlling unmanned aerial vehicle fertilization and returning the website and replenishing fertilizer.
The invention has the beneficial effects that: according to the intelligent agricultural planting management method, the unmanned aerial vehicle is used for collecting farmland data to process and analyze, the farmland is divided into a plurality of blocks in a targeted manner, and the unmanned aerial vehicle is used for carrying out targeted fertilization on the blocks, so that nutrition supplement is carried out on the crops with poor nutrition while the normal crop growth is met, intelligent fertilization is truly realized, manual intervention is not needed in the whole process, the intelligent degree is high, and the good planting management method is provided for intelligent agricultural planting.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a system architecture diagram according to an embodiment of the present invention.
FIG. 2 is a flowchart of an image preprocessing method according to an embodiment of the present invention.
FIG. 3 is a flowchart of a comparison recognition method according to an embodiment of the present invention.
Fig. 4 is a side cross-sectional view of a dispensing control module structure according to an embodiment of the invention.
Fig. 5 is a front view of a spreading control module according to an embodiment of the present invention.
Fig. 6 is a flowchart of a system control method according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," "fourth," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Example one
According to the drawings of fig. 1-4, the embodiment provides an intelligent agricultural planting targeted fertilization device, which comprises a collection processing system and a control spreading system, wherein the collection processing system comprises a data acquisition module, a data processing module and an identification calculation module, the data acquisition module is used for acquiring real-time images of crops by controlling an unmanned aerial vehicle and utilizing a spectrum camera carried by the unmanned aerial vehicle and uploading the images;
the data processing module is used for preprocessing the acquired real-time image and comprises the following steps:
s1, carrying out graying processing on the collected image, and carrying out binarization processing on the grayed image to obtain a binarized image;
s2, denoising the binary image based on a wavelet transform and median filtering method, and performing gradient correction on the denoised image to obtain a regular image;
and S3, performing character cutting processing on the obtained regular image, and performing normalization processing on the cut image blocks to obtain a processed image.
The recognition and calculation module is used for recognizing the growth state and density of crops according to the processed image and intelligently outputting a fertilizing amount control signal;
the control spreading system comprises an intelligent flight control module, a spreading control module and a terminal monitoring module, wherein the intelligent flight control module intelligently controls a plurality of groups of unmanned aerial vehicles to perform spreading work according to a fertilizing amount control signal, and reasonably arranges the plurality of groups of unmanned aerial vehicles to simultaneously fertilize according to the fertilizing amount upper limit of the unmanned aerial vehicles when controlling the unmanned aerial vehicles so as to meet the requirement of targeted balanced fertilization of a farmland;
the fertilizer applying control module controls the electromagnetic metering valve to regulate and control output fertilizer applying amount according to a fertilizer applying amount control signal, the fertilizer applying control module comprises a fertilizer storage box, a material amount sensor, an electromagnetic valve, a fertilizer applying opening and a single chip microcomputer, the fertilizer storage box is used for storing different kinds of fertilizers, the fertilizer storage box is divided into a plurality of groups of secondary material boxes, the material amount sensors are arranged in the secondary material boxes, the electromagnetic valve and the fertilizer applying opening are arranged below the secondary material boxes, the electromagnetic valve and the single chip microcomputer are electrically connected and controlled by the single chip microcomputer, components of the lacking elements are judged according to the growth state of crops, and the plurality of groups of electromagnetic valves are controlled to apply mixed fertilizers with different amounts of different kinds of fertilizers, so that targeted fertilizer application is realized;
the terminal monitoring module is used for remotely monitoring whether fertilizer allowance of a plurality of groups of unmanned aerial vehicles reaches the standard or not and the spreading amount of the spreading blocks, controlling the unmanned aerial vehicles to return to the station to supplement fertilizer when the fertilizer allowance of the unmanned aerial vehicles is not enough, and manually controlling the unmanned aerial vehicles to perform fertilizer supplement on the blocks again when the spreading amount of a certain block does not reach the standard.
The data acquisition module comprises a GPS positioning submodule and a plane composition submodule, the GPS positioning submodule is used for positioning and calculating the growth height of crops according to the flight height of the unmanned aerial vehicle, the plane composition submodule is used for splicing real-time images acquired by the unmanned aerial vehicle to form a complete farmland range plane diagram, and the plane diagram are combined to generate a block plane diagram of the growth state, the growth height and the density of the farmland crops.
The identification and calculation module comprises a pre-stored submodule, a comparison and identification submodule and a calculation submodule, the pre-stored submodule is used for importing collected crop growth state and density pictures in advance for comparison and identification, the pictures pre-stored by the pre-stored submodule are also preprocessed, and the preprocessing method is the same as the processing method of the data processing module on the images;
the comparison and identification submodule is used for comparing the real-time image processed by the data processing module with the processed crop image led in advance to obtain the growth state and density data of farmland crops, the comparison items comprise the growth state and block density of the crops, the growth state comprises the height of the crops and the leaf state of the crops, and the lack of any nutrient element can be judged and fertilization supplementation can be carried out;
the specific method for comparison and identification comprises the following steps:
e1, establishing an image character feature extraction model, and sorting the pre-stored processed pictures of the pre-stored sub-modules into a training set;
e2, training the established image character feature extraction model by using a processed picture training set prestored in a prestored submodule as input to obtain a trained extraction model;
e3, processing the farmland real-time picture information acquired by the data acquisition module through the data processing module to be used as input, importing the image into the trained extraction model, and finally outputting a recognition result.
And the calculation submodule generates corresponding fertilizing amount data according to the growth states and densities of crops in different blocks of the farmland, converts the fertilizing amount data into PWM signals and outputs the PWM signals to the control spreading system.
The identification and calculation module further comprises a block fertilizing amount generation submodule, and the block fertilizing amount generation submodule is used for generating a block fertilizing amount plane distribution map according to fertilizing amount data output by the calculation submodule and by combining with a farmland crop growth state and a density plane map obtained by the data acquisition module, and enabling the terminal monitoring module to observe in real time and control the unmanned aerial vehicle to fertilize.
The intelligent flight control module comprises an unmanned aerial vehicle transferring sub-module and a flight track generating sub-module, wherein the unmanned aerial vehicle transferring sub-module is used for transferring a plurality of groups of unmanned aerial vehicles to fertilize according to the fertilizing amount of different blocks of a farmland, the flight track generating sub-module is used for generating the number of times of flight and fertilization of the unmanned aerial vehicles without extensions according to the fertilizing amount of different blocks, when the fertilizing amount required by one block is larger than the fertilizing amount of single passing of the unmanned aerial vehicles, a unmanned aerial vehicle returning route is generated, and the unmanned aerial vehicles are controlled to fly back and forth to fertilize until the fertilizing amount of the block is met.
The terminal monitoring module contains monitoring host computer and unmanned aerial vehicle control submodule piece, the monitoring host computer is used for real time monitoring farmland fertilization state and surplus block fertilization volume, unmanned aerial vehicle control submodule piece is used for controlling unmanned aerial vehicle fertilization and returning the website and replenishing fertilizer, and unmanned aerial vehicle continues to return incomplete fertilization orbit route and continues to accomplish remaining fertilization route behind the replenishment fertilizer.
Example two
According to the illustration in fig. 5, the embodiment provides a control method of a targeted intelligent fertilization device for agricultural planting, which includes the following steps:
firstly, importing historically collected crop growth state and density pictures into an identification and calculation module, and preprocessing the imported pictures by using a data processing module;
secondly, firstly, controlling a group of unmanned aerial vehicles to quickly acquire real-time images of farmlands to be fertilized, and generating a block plan of the growth state, the growth height and the density of the crops in the farmlands after the real-time images are processed by a data processing module;
generating schematic diagrams of different block fertilizing amounts according to block plane diagrams of the growth state, the growth height and the density of the farmland crops through an identification and calculation module, and generating fertilizing control signals;
and fourthly, generating block unmanned aerial vehicle fertilization flight tracks by the intelligent flight control module according to the fertilization control signals, and then moving a plurality of groups of unmanned aerial vehicles to take off to perform fertilization operation according to the tracks until the fertilization operation of all the blocks is completed.
When monitoring that the surplus materials of the fertilizer storage box in the spreading control module are insufficient, the terminal monitoring module controls the unmanned aerial vehicle to return to the station to supplement the waste materials and mark the coordinate point where the fertilization is stopped at the same time, and after the supplement is finished, the unmanned aerial vehicle flies back to the marked coordinate point and then continues to execute the rest flying fertilization track.
When the terminal monitoring module monitors that the situation that the fertilization amount does not reach the standard exists in the schematic diagrams of the fertilization amounts of different blocks, the single-group unmanned aerial vehicle is controlled to take off for supplementary fertilization until the fertilization amounts of all the blocks in the schematic diagrams of the fertilization amounts of different blocks reach the standard, and the unmanned aerial vehicle returns to finish the fertilization operation.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The utility model provides a farming pertinence intelligence fertilizer injection unit which characterized in that: the intelligent fertilizing system comprises a collecting and processing system and a control fertilizing system, wherein the collecting and processing system comprises a data collecting module, a data processing module and an identification and calculation module, the data collecting module collects real-time images of crops through a spectrum camera carried by an unmanned aerial vehicle, the data processing module is used for preprocessing the collected real-time images, and the identification and calculation module is used for identifying the growth state and the density of the crops according to the processed images and intelligently outputting fertilizing amount control signals;
the intelligent flying control module intelligently controls a plurality of groups of unmanned aerial vehicles to carry out spreading work according to a fertilizing amount control signal, the spreading control module controls an electromagnetic metering valve to regulate and control output spreading amount according to the fertilizing amount control signal, and the terminal monitoring module is used for remotely monitoring whether the fertilizer allowance of the plurality of groups of unmanned aerial vehicles and the spreading amount of a spreading area reach the standard or not.
2. The intelligent agricultural planting fertilizer apparatus of claim 1, wherein: the data acquisition module comprises a GPS positioning submodule and a plane composition submodule, the GPS positioning submodule is used for positioning and calculating the growth height of crops according to the flight height of the unmanned aerial vehicle, and the plane composition submodule is used for splicing real-time images acquired by the unmanned aerial vehicle to form a complete farmland range plane map.
3. The intelligent agricultural planting fertilizer apparatus of claim 1, wherein: the method for preprocessing the image by the data processing module comprises the following steps
S1, carrying out gray processing on the collected image, and carrying out binarization processing on the gray processed image to obtain a binarization image;
s2, denoising the binary image based on a wavelet transform and median filtering method, and performing gradient correction on the denoised image to obtain a regular image;
and S3, performing character cutting processing on the obtained regular image, and performing normalization processing on the cut image blocks to obtain a processed image.
4. The intelligent agricultural planting fertilizer apparatus of claim 1, wherein: the identification calculation module comprises a pre-stored submodule, a comparison identification submodule and a calculation submodule, wherein the pre-stored submodule is used for importing collected crop growth state and density pictures in advance for comparison identification, and the pictures pre-stored by the pre-stored submodule are also preprocessed;
the comparison and identification submodule is used for comparing the real-time image processed by the data processing module with the processed crop image imported in advance to obtain the growth state and density data of the farmland crops;
and the calculation submodule generates corresponding fertilizing amount data according to the growth states and densities of crops in different blocks of the farmland and converts the fertilizing amount data into PWM signals to output.
5. The intelligent agricultural planting targeted fertilizer apparatus of claim 4, wherein: the characteristics of the comparison and identification submodule for comparing and identifying the crops comprise the growth height of the crops, the growth density of the crops, the leaf state of the crops and the diameter of a crop plant rod.
6. The intelligent agricultural planting targeted fertilizer apparatus of claim 4, wherein: the specific method for carrying out comparison identification by the comparison identification submodule comprises
E1, establishing an image character feature extraction model, and sorting the pre-stored processed pictures of the pre-stored sub-modules into a training set;
e2, training the established image character feature extraction model by using a processed picture training set prestored in a prestored submodule as input to obtain a trained extraction model;
e3, processing the farmland real-time picture information acquired by the data acquisition module through the data processing module to be used as input, importing the image into the trained extraction model, and finally outputting the recognition result.
7. The intelligent agricultural planting targeted fertilizer apparatus of claim 4, wherein: the identification and calculation module further comprises a block fertilizing amount generation submodule, and the block fertilizing amount generation submodule is used for generating a block fertilizing amount plane distribution diagram according to fertilizing amount data output by the calculation submodule and by combining a farmland crop growth state and a density plane diagram obtained by the data acquisition module.
8. The intelligent agricultural planting fertilizer apparatus of claim 1, wherein: the intelligent flight control module comprises an unmanned aerial vehicle transferring submodule and a flight track generating submodule, the unmanned aerial vehicle transferring submodule is used for transferring a plurality of groups of unmanned aerial vehicles to fertilize according to fertilizing amounts of different blocks of a farmland, and the flight track generating submodule is used for generating extension-free flight tracks according to the fertilizing amounts of the different blocks to control the unmanned aerial vehicle to fly and fertilize.
9. The intelligent agricultural planting fertilizer apparatus of claim 1, wherein: it comprises fertilizer storage box, material quantity sensor, solenoid valve, fertilizer and spills mouth and singlechip to spill control module, fertilizer storage box is used for storing different fertilizer of the same race, fertilizer storage box divides multiunit secondary workbin, and inside all is equipped with material quantity sensor, and the below all is equipped with solenoid valve and fertilizer and spills the mouth, solenoid valve and singlechip electric connection are by singlechip control.
10. The intelligent agricultural planting fertilizer apparatus of claim 1, wherein: the terminal monitoring module contains monitoring host computer and unmanned aerial vehicle control submodule piece, the monitoring host computer is used for real time monitoring farmland fertilization state and surplus block fertilization volume, unmanned aerial vehicle control submodule piece is used for controlling unmanned aerial vehicle fertilization and returning the website and replenishing fertilizer.
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| CN202210403781.3A CN114946350A (en) | 2022-04-18 | 2022-04-18 | Farming pertinence intelligence fertilizer injection unit |
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