CN109191324B - Dispensing method and device - Google Patents
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- CN109191324B CN109191324B CN201811217286.3A CN201811217286A CN109191324B CN 109191324 B CN109191324 B CN 109191324B CN 201811217286 A CN201811217286 A CN 201811217286A CN 109191324 B CN109191324 B CN 109191324B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/253—Fusion techniques of extracted features
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06V20/10—Terrestrial scenes
- G06V20/188—Vegetation
Abstract
The application discloses a dispensing method and a dispensing device. Wherein, the method comprises the following steps: acquiring the types of crops in a target area and the operating environment information of the crops; communicating with a wireless communication module arranged on a medicine container to obtain a first medicine type set of medicines contained in the medicine container; determining a second set of medication types corresponding to the type of the crop based on the job environment information; determining whether the drug types in the second set of drug types all exist in the first set of drug types; and determining whether to carry out dispensing operation according to the second medicine type set or not according to the judgment result. The technical problem of dispense through the manual work, efficiency is lower has been solved in this application.
Description
Technical Field
The application relates to the field of agriculture, in particular to a dispensing method and a dispensing device.
Background
At present, when a farmer sprays a pesticide on a farmland, the pesticide type is determined according to environmental information through subjective experience, actual data support is lacked, and the accuracy rate of the determined pesticide type is low; moreover, when a farmer purchases a medicine, the farmer generally goes to a pesticide physical store or an online store to purchase a corresponding medicine, and if the medicine is sold out, time waste of the farmer is caused; at present, the medicines are all manually dispensed, and the manual dispensing efficiency is low.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a dispensing method and a dispensing device, and aims to at least solve the technical problem of low efficiency caused by manual dispensing.
According to an aspect of an embodiment of the present application, there is provided a dispensing method, including: acquiring the types of crops in a target area and the operating environment information of the crops; communicating with a wireless communication module arranged on a medicine container to obtain a first medicine type set of medicines contained in the medicine container; determining a second set of medication types corresponding to the type of the crop based on the job environment information; determining whether the drug types in the second set of drug types all exist in the first set of drug types; and determining whether to carry out dispensing operation according to the second medicine type set or not according to the judgment result.
Optionally, determining whether to perform a dispensing operation according to the second drug type set according to the determination result includes: and when the judgment result indicates that all the drug types in the second drug type set exist in the first drug type set, determining to dispense according to the second drug type set.
Optionally, after determining whether to perform a dispensing operation according to the second drug type set according to the determination result, the method further includes: when the judgment result indicates that at least part of the drug types in the second drug type set do not exist in the first drug type set, determining an alternative drug type for substituting at least part of the drug types from the first drug type set; and performing dispensing operation on the crops according to the alternative medicine type and other medicine types in the second medicine type set.
Optionally, determining an alternative drug type for replacing at least part of the drug type from the first set of drug types comprises: determining similarity between at least part of the medicine types and the medicine types in the first medicine type set to obtain a similarity set, wherein the similarity is determined based on the similarity of the medicine properties; and determining the drug type corresponding to the maximum similarity from the first drug type set based on the similarity set, and taking the determined drug type as the substitute drug type.
Optionally, determining a second set of medication types corresponding to the type of the crop based on the job environment information comprises: determining a prediction model corresponding to the type of the crop, wherein the prediction model is obtained by training according to the operating environment information and the historical dispensing information of the crop; and inputting the operation environment information into a prediction model for analysis to obtain a second medicine type set.
Optionally, obtaining the type of crop in the target area comprises: acquiring first image information of a target area, and extracting first characteristic information from the first image information; carrying out gray level processing on the first image information to obtain second image information; extracting second characteristic information from the second image information; fusing the first characteristic information and the second characteristic information to obtain target characteristic information; and inputting the target characteristic information into the image recognition model for analysis to obtain the type of the crop.
Optionally, the job environment information includes at least one of: illumination information, humidity information, temperature information.
Optionally, the wireless communication module includes a near field communication chip and a radio frequency identification chip.
According to an aspect of an embodiment of the present application, there is provided a medication dispensing apparatus including: the acquisition module is used for acquiring the types of crops in the target area and the operating environment information of the crops; the communication module is used for communicating with the wireless communication module arranged on the medicine container to acquire a first medicine type set of the medicines contained in the medicine container; a determination module to determine a second set of medication types corresponding to the types of the crop based on the work environment information; the judging module is used for judging whether the drug types in the second drug type set exist in the first drug type set or not; and the dispensing module is used for determining whether to perform dispensing operation according to the second medicine type set according to the judgment result.
According to an aspect of an embodiment of the present application, there is provided a storage medium including a stored program, wherein the apparatus on which the storage medium is located is controlled to perform the above-described dispensing method when the program is executed.
According to an aspect of the embodiments of the present application, there is provided a processor for executing a program, wherein the program executes the above dispensing method.
In the embodiment of the application, the types of crops in a target area and the operation environment information of the crops are obtained; communicating with a wireless communication module arranged on a medicine container to obtain a first medicine type set of medicines contained in the medicine container; determining a second set of medication types corresponding to the type of the crop based on the job environment information; determining whether the drug types in the second set of drug types all exist in the first set of drug types; and determining whether to carry out the mode of dispensing operation according to the second medicine type set according to the judgment result, thereby realizing the technical effects of automatically determining the medicine type through the acquired environmental information and dispensing the medicine, and further solving the technical problem of low efficiency caused by manual dispensing.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic flow chart of a method of dispensing a medication according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an alternative dispensing device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present application, there is provided a dispensing method embodiment, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system, such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
Fig. 1 is a dispensing method according to an embodiment of the present application, as shown in fig. 1, the method at least includes steps S102-S110:
step S102, acquiring the types of crops in a target area and the operating environment information of the crops;
in some optional embodiments of the present application, obtaining the type of crops in the target area may be implemented by the following steps S1022 to S1028:
step S1022, acquiring first image information of the target area, and extracting first feature information from the first image information;
in some embodiments of the application, the target area may be one or more farmlands, the first image information may be image information of a current farmland, and the extracting the first feature information from the first image information may be: extracting distribution areas of weeds, and/or pests, and/or crops from the first image information according to the RGB values in the first image information; and color information of weeds, and/or pests, and/or crops, and/or first shape information, the image information may include a satellite remote sensing image, a point cloud image, a multispectral image, and the like.
Step S1024, carrying out gray processing on the first image information to obtain second image information; extracting second characteristic information from the second image information;
in an alternative embodiment, the second image information is a gray scale map of the first image information, and the extracting the second feature information from the second image information may be: the second image information is binarized, and the second shape information of the weeds and/or the pests and/or the leaves of the crops can be extracted through an image boundary identification algorithm, such as a sobel edge detection algorithm.
Step S1026, the first characteristic information and the second characteristic information are fused to obtain target characteristic information;
in some optional embodiments of the present application, the first shape information of the weed, and/or foliage of the crop is the same as the second shape information, and the shape information is determined to be target shape information, such as: when the first shape information and the second shape information of a certain weed are the same, determining the target shape information of the weed as the first shape information; when the first shape information of the weed is different from the second shape information, the target shape information of the weed may be confirmed in other ways. In the above, the target feature information is first shape information in which the second shape information of the leaf of the weed is the same.
Step S1028, inputting the target characteristic information into the image recognition model for analysis to obtain the type of the crop.
In an alternative embodiment, the image recognition model is trained from multiple sets of data, each set of data in the multiple sets of data comprising: the sample target characteristic information and the type of the crop corresponding to the sample target characteristic information.
The job environment information may include information that may be: illumination information, humidity information, temperature information; the work environment information may be detected by a sensor provided in the target area; the operation environment information of the crops in the target area is obtained by receiving the environment information data detected by the sensor sent by the mobile terminal.
Step S104, communicating with a wireless communication module arranged on a medicine container to obtain a first medicine type set of medicines contained in the medicine container;
in an optional embodiment, the wireless communication module comprises a near field communication chip and a radio frequency identification chip.
The intelligent robot is communicated with a wireless communication module arranged on the medicine container, and can identify the communication module through an intelligent terminal and also can identify the communication module through an intelligent robot; thereby obtaining a first set of medication types for the medication contained in the medication container. The wireless communication module may be disposed on an outer surface of the medicine container, or may be disposed in a cap of the medicine container.
In some optional embodiments of the present application, the first set of medication types is a set of all medication types in the medication library.
Step S106, determining a second medicine type set corresponding to the types of the crops based on the operation environment information;
in an optional embodiment, the ratio between various medicines in the second medicine set corresponding to the type of the crop and between various medicines and water can be determined based on the operation environment information, for example: if the weather is dry, more water is added;
in an alternative embodiment, determining the second set of medication types corresponding to the type of crop based on the job environment information may be: if the weather is strong, the thick and sticky medicine which is easy to be attached is prepared;
in an alternative embodiment, if the weather wind is high, the size of the liquid drop can be controlled to be a little larger, and the flying of the unmanned aircraft is lower;
in addition, can also adjust unmanned aerial vehicle flight line according to wind direction wind speed, can change the medicine yield according to the temperature, for example: the spraying amount is controlled when the pores of the crops are large.
In an alternative embodiment, determining the second set of medication types corresponding to the types of the crop based on the job environment information may be performed by: determining a prediction model corresponding to the type of the crop, wherein the prediction model is obtained by training according to the operating environment information and the historical dispensing information of the crop; and inputting the operation environment information into a prediction model for analysis to obtain a second medicine type set.
Each set of data of the prediction model comprises: the sample operation environment information and a second medicine type set corresponding to the sample operation environment information.
In another alternative embodiment, when determining the second drug type set corresponding to the type of the crop based on the operating environment information, the types of pesticides that cannot be mixed together need to be considered, so as to avoid the problem that the pesticides fail when mixed together or the mixture blocking the spray head is easily formed after the pesticides react.
Step S108, judging whether the drug types in the second drug type set exist in the first drug type set;
and step S110, determining whether to carry out dispensing operation according to the second medicine type set according to the judgment result.
Determining whether to perform the dispensing operation according to the second drug type set according to the judgment result can be realized by the following method: and when the judgment result indicates that all the drug types in the second drug type set exist in the first drug type set, determining to dispense according to the second drug type set.
The second medicine type corresponds to the acquired operating environment information of the crops; and when the first medicine type set is judged to contain the second medicine type, carrying out dispensing operation according to the second medicine type set.
In an optional embodiment, in the specific dispensing operation, the dispensing robot may be controlled to grasp the medicine corresponding to the second medicine type, and the bottle cap may be opened by scanning the two-dimensional code of the bottle body in the near field, so as to dispense the medicine corresponding to the second medicine type.
In an optional embodiment, after determining whether to perform the dispensing operation according to the second drug type set according to the determination result, the method further includes the following steps: when the judgment result indicates that at least part of the drug types in the second drug type set do not exist in the first drug type set, determining an alternative drug type for substituting at least part of the drug types from the first drug type set; and performing dispensing operation on the crops according to the alternative medicine type and other medicine types in the second medicine type set.
Determining an alternative drug type for replacing at least part of the drug type from the first set of drug types may be accomplished by: determining similarity between at least part of the medicine types and the medicine types in the first medicine type set to obtain a similarity set, wherein the similarity is determined based on the similarity of the medicine properties; and determining the drug type corresponding to the maximum similarity from the first drug type set based on the similarity set, and taking the determined drug type as the substitute drug type. Wherein, the property of the drug can be the property, smell and function of the drug.
In the embodiment of the application, the types of crops in a target area and the operation environment information of the crops are obtained; communicating with a wireless communication module arranged on a medicine container to obtain a first medicine type set of medicines contained in the medicine container; determining a second set of medication types corresponding to the type of the crop based on the job environment information; determining whether the drug types in the second set of drug types all exist in the first set of drug types; and determining whether to carry out the mode of dispensing operation according to the second medicine type set according to the judgment result, thereby realizing the technical effects of automatically determining the medicine type through the acquired environmental information and dispensing the medicine, and further solving the technical problem of low efficiency caused by manual dispensing.
Fig. 2 is a schematic structural diagram of a dispensing apparatus according to an embodiment of the present application, and as shown in fig. 2, the apparatus includes at least an obtaining module 22, a communication module 24, a determining module 26, a judging module 28, and a dispensing module; wherein:
the acquisition module 22 is used for acquiring the types of crops in the target area and the operating environment information of the crops;
the communication module 24 is used for communicating with a wireless communication module arranged on the medicine container to obtain a first medicine type set of the medicines contained in the medicine container;
a determination module 26 for determining a second set of medication types corresponding to the types of the crop based on the work environment information;
a determining module 28, configured to determine whether the drug types in the second set of drug types all exist in the first set of drug types;
and the dispensing module 210 is configured to determine whether to perform a dispensing operation according to the second drug type set according to the determination result.
It should be noted that, reference may be made to the description related to the embodiment shown in fig. 1 for a preferred implementation of the embodiment shown in fig. 2, and details are not described here again.
According to another aspect of the embodiments of the present application, there is also provided a storage medium, characterized in that the storage medium includes a stored program, wherein the program, when executed, controls a device on which the storage medium is located to perform the above-mentioned dispensing method.
According to another aspect of the embodiments of the present application, there is also provided a processor, wherein the processor is configured to execute a program, and wherein the program executes the method for dispensing a medication.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A method of dispensing a medication, comprising:
acquiring the types of crops in a target area and the operating environment information of the crops;
communicating with a wireless communication module arranged on a medicine container to acquire a first medicine type set of medicines contained in the medicine container;
determining a second set of medication types corresponding to the type of the crop based on the job environment information;
determining whether the drug types in the second set of drug types are all present in the first set of drug types;
determining whether to carry out dispensing operation according to the second medicine type set or not according to the judgment result;
determining an alternative drug type for replacing at least part of the drug type from the first drug type set when the determination result indicates that at least part of the drug type in the second drug type set does not exist in the first drug type set; and performing dispensing operation on the crops according to the alternative medicine type and other medicine types in the second medicine type set.
2. The method of claim 1, wherein determining whether to dispense according to the second set of medication types based on the determination comprises:
and when the judgment result indicates that all the drug types in the second drug type set exist in the first drug type set, determining to dispense according to the second drug type set.
3. The method of claim 1, wherein determining an alternative medication type for replacing the at least some medication types from the first set of medication types comprises:
determining similarity between the at least part of the medicine types and the medicine types in the first medicine type set to obtain a similarity set, wherein the similarity is determined based on similarity of medicine properties;
and determining the drug type corresponding to the maximum similarity from the first drug type set based on the similarity set, and taking the determined drug type as the substitute drug type.
4. The method of claim 1, wherein determining a second set of medication types corresponding to the type of crop based on the work environment information comprises:
determining a prediction model corresponding to the crop type, wherein the prediction model is obtained by training according to the operating environment information and the historical dispensing information of the crop;
and inputting the operation environment information into the prediction model for analysis to obtain the second medicine type set.
5. The method of claim 1, wherein obtaining the type of crop in the target area comprises:
acquiring first image information of the target area, and extracting first characteristic information from the first image information;
carrying out gray level processing on the first image information to obtain second image information; extracting second characteristic information from the second image information;
fusing the first characteristic information and the second characteristic information to obtain target characteristic information;
and inputting the target characteristic information into an image recognition model for analysis to obtain the type of the crop.
6. The method according to any one of claims 1 to 5, wherein the work environment information includes at least one of: illumination information, humidity information, temperature information.
7. The method according to any one of claims 1 to 5, wherein the wireless communication module comprises a near field communication chip and a radio frequency identification chip.
8. A dispensing device, comprising:
the acquisition module is used for acquiring the types of crops in a target area and the operating environment information of the crops;
the communication module is used for communicating with a wireless communication module arranged on a medicine container to acquire a first medicine type set of medicines contained in the medicine container;
a determination module to determine a second set of medication types corresponding to the types of the crop based on the work environment information;
a judging module, configured to judge whether all the drug types in the second set of drug types exist in the first set of drug types;
the dispensing module is used for determining whether to perform dispensing operation according to the second medicine type set according to the judgment result;
determining an alternative drug type for replacing at least part of the drug type from the first drug type set when the determination result indicates that at least part of the drug type in the second drug type set does not exist in the first drug type set; and performing dispensing operation on the crops according to the alternative medicine type and other medicine types in the second medicine type set.
9. A storage medium comprising a stored program, wherein the program, when executed, controls a device in which the storage medium is located to perform the dispensing method according to any one of claims 1 to 7.
10. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to execute the dispensing method according to any one of claims 1 to 7 when the program is run.
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| CN201811217286.3A CN109191324B (en) | 2018-10-18 | 2018-10-18 | Dispensing method and device |
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| CN110419443A (en) * | 2019-09-04 | 2019-11-08 | 湖南隆平种业有限公司 | A kind of unmanned plane auxiliary seed production and pollination operational method and system |
| CN112790178B (en) * | 2019-10-28 | 2022-11-08 | 广州极飞科技股份有限公司 | Method for dispensing machine, control device, dispensing machine and medicine filling system |
| CN112528506A (en) * | 2020-12-15 | 2021-03-19 | 广州极飞科技有限公司 | Method and device for determining working dosage, unmanned equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103903006A (en) * | 2014-03-05 | 2014-07-02 | 中国科学院合肥物质科学研究院 | Crop pest identification method and system based on Android platform |
| CN105353689A (en) * | 2015-12-03 | 2016-02-24 | 中农网购（江苏）电子商务有限公司 | Pesticide spraying machinery management control system based on internet of things |
| CN105389737A (en) * | 2015-10-28 | 2016-03-09 | 中农网购（江苏）电子商务有限公司 | Decision and control system of pesticide spraying |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI574607B (en) * | 2014-11-27 | 2017-03-21 | 國立臺灣大學 | System and method of supplying drug for crops |
| CN106547280A (en) * | 2016-11-09 | 2017-03-29 | 红河恒翔农业科技有限公司 | A kind of method that unmanned plane is sprayed insecticide |
| CN206573944U (en) * | 2016-12-21 | 2017-10-20 | 石河子大学 | The accurate pesticide spraying system of rotor wing unmanned aerial vehicle |
| CN108231155A (en) * | 2018-02-11 | 2018-06-29 | 深圳市刚竹医疗科技有限公司 | Automatic dispensation apparatus and automated dispensing method |
-
2018
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103903006A (en) * | 2014-03-05 | 2014-07-02 | 中国科学院合肥物质科学研究院 | Crop pest identification method and system based on Android platform |
| CN105389737A (en) * | 2015-10-28 | 2016-03-09 | 中农网购（江苏）电子商务有限公司 | Decision and control system of pesticide spraying |
| CN105353689A (en) * | 2015-12-03 | 2016-02-24 | 中农网购（江苏）电子商务有限公司 | Pesticide spraying machinery management control system based on internet of things |
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