CN107222682A - Crop growth state testing method and device - Google Patents

Crop growth state testing method and device Download PDF

Info

Publication number
CN107222682A
CN107222682A CN201710561400.3A CN201710561400A CN107222682A CN 107222682 A CN107222682 A CN 107222682A CN 201710561400 A CN201710561400 A CN 201710561400A CN 107222682 A CN107222682 A CN 107222682A
Authority
CN
China
Prior art keywords
crop
information
map picture
upgrowth situation
crops
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.)
Pending
Application number
CN201710561400.3A
Other languages
Chinese (zh)
Inventor
刘俊杰
王华敏
闫嘉
刘光远
黄颖
王向阳
葛灵普
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Southwest University
Original Assignee
Southwest University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Southwest University filed Critical Southwest University
Priority to CN201710561400.3A priority Critical patent/CN107222682A/en
Publication of CN107222682A publication Critical patent/CN107222682A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80Camera processing pipelines; Components thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/64Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30181Earth observation
    • G06T2207/30188Vegetation; Agriculture

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • Mining & Mineral Resources (AREA)
  • Animal Husbandry (AREA)
  • Agronomy & Crop Science (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Marine Sciences & Fisheries (AREA)
  • General Business, Economics & Management (AREA)
  • Quality & Reliability (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to technical field of agriculture science, in particular to a kind of crop growth state testing method and device.The crop growth state testing method, applied to server, the server can communicate with mobile terminal and image acquisition device, and methods described includes:Receive the crop map picture that described image collector is obtained;The crop map picture is analyzed, to obtain the upgrowth situation information of the crops;According to the upgrowth situation information, guiding opinion is cultivated in generation, and is sent to the mobile terminal.Crop growth state testing method and device provided in an embodiment of the present invention are relative to prior art, and input cost is relatively low, and detection process is simple, it is easy to promoted in agricultural production.

Description

Crop growth state testing method and device
Technical field
The present invention relates to technical field of agriculture science, in particular to a kind of crop growth state testing method and Device.
Background technology
At present, have to the detection means of crop growth situation traditional plant growth information detector, chlorophyll meter and Plant nutrient analyzer.Wherein, plant growth information detector needs to extract sample from plant, with medicament and instrument Credit is analysed, and draws nitrogen, phosphorus element, the potassium equal size of plant, so as to judge vegetation growth state, is operated sufficiently complex.And leaf Green plain instrument principle is to determine the relative of the current chlorophyll of blade by measuring light-transmission coefficient of the blade in two kinds of wave-length coverages Quantity, that is, select in chlorophyll to absorb two wavelength regions of the long light of wavelength undetermined, reflected thoroughly according to blade the amount of light come Calculate measured value.Although chlorophyll meter can accurately determine the chlorophyll content of crops, need to use instrument when in use Plant leaf blade is clamped, is unfavorable for automatically determining, and can not be detected in real time.Plant nutrient analyzer and chlorophyll meter class Seemingly, it but can determine chlorophyll content of plant, nitrogen content and moisture etc. simultaneously, foundation can be provided for fertilising.Plant is sought Foster analyzer principle is identical with chlorophyll meter principle, i.e., infer the nitrogen content of plant by the SPAD values of measure, but same when using Sample needs to be measured with instrument interlinear notes crop leaf.
As can be seen here, traditional plant growth information detector detection process is complicated, and chlorophyll meter and plant nutrient are surveyed Determining instrument is required for the operation of man-hour manually hand-held formula to be measured, it is necessary to clamp blade with instrument, it is impossible to carry out automatic detection, and price High, operation also has certain complexity, is typically used in scientific research, it is difficult to promote in agricultural production.
The content of the invention
In view of this, the purpose of the embodiment of the present invention is that there is provided a kind of crop growth state testing method and device To solve the above problems.
The embodiments of the invention provide a kind of crop growth state testing method, applied to server, the server It can be communicated with mobile terminal and image acquisition device, methods described includes:
Receive the crop map picture that described image collector is obtained;
The crop map picture is analyzed, to obtain the upgrowth situation information of the crops;
According to the upgrowth situation information, guiding opinion is cultivated in generation, and is sent to the mobile terminal.
Further, carry and prestored in the identification information of image acquisition device, the server in the crop map picture There is the corresponding relation of the identification information and the crop specie information, methods described also includes:
Extract the identification information carried in the crop map picture;
The crop specie information corresponding with the identification information is found out according to the identification information;
The upgrowth situation information of the crops is believed by analyzing the crop map picture, and with reference to the crop specie Breath is obtained.
Further, the crop map picture is analyzed, the step of upgrowth situation information to obtain the crops, bag Include:
Extract the rgb value and textural characteristics of the crop map picture;
The rgb value and textural characteristics are analyzed, and with reference to the crop specie information, are obtained according to default operation rule Obtain the upgrowth situation information of the crops.
Further, according to the upgrowth situation information, guiding opinion is cultivated in generation, and is sent to the mobile terminal Step, including:
According to the upgrowth situation information, and with reference to the crop specie information, generation is cultivated guiding opinion and stored;
When receiving the information acquisition request that the mobile terminal is sent, the cultivation guiding opinion is sent to described Mobile terminal.
Further, methods described also includes:
According to the crop map picture, judge whether the camera position of described image collector meets default shoot and mark It is accurate;
If so, then perform the analysis crop map picture, the step of upgrowth situation information to obtain the crops;
If it is not, then adjusting the camera according to default plan for adjustment, and receive described image after the adjustment camera Whether the crop map picture that collector is obtained, meet default shooting standard to the camera position after adjustment and judge, Untill according to the crop map picture received again, judging to show that the camera position meets default shooting standard.
The embodiment of the present invention additionally provides a kind of crop growth condition detection apparatus, applied to server, the service Device can communicate with mobile terminal and image acquisition device, and described device includes:
Image collection module, the crop map picture for receiving the acquisition of described image collector;
Upgrowth situation analysis module, for analyzing the crop map picture, is believed with the upgrowth situation for obtaining the crops Breath;
Guiding opinion generation module is cultivated, for according to the upgrowth situation information, guiding opinion to be cultivated in generation, and is sent To the mobile terminal.
Further, carry and prestored in the identification information of image acquisition device, the server in the crop map picture There is the corresponding relation of the identification information and the crop specie information, described device also includes:
Identification information extraction module, for extracting the identification information carried in the crop map picture;
Kind of information searching modul, for finding out the farming species corresponding with the identification information according to the identification information Category information, makes the upgrowth situation analysis module by analyzing the crop map picture, and with reference to the crop specie information Obtain the upgrowth situation information of the crops.
Further, the upgrowth situation analysis module includes:
Biological characteristic extraction unit, rgb value and textural characteristics for extracting the crop map picture;
Upgrowth situation information acquisition unit, for analyzing the rgb value and textural characteristics, and with reference to the crop specie Information, the upgrowth situation information of the crops is obtained according to default operation rule.
Further, the cultivation guiding opinion generation module includes:
Guiding opinion generation unit is cultivated, for believing according to the upgrowth situation information, and with reference to the crop specie Breath, generation is cultivated guiding opinion and stored;
Guiding opinion transmitting element is cultivated, for when receiving the information acquisition request that the mobile terminal is sent, inciting somebody to action The cultivation guiding opinion is sent to the mobile terminal.
Further, described device also includes:
Camera position adjusting module, for according to the crop map picture, judging the camera of described image collector Whether position meets default shooting standard, if so, then the upgrowth situation analysis module analyzes the crop map picture, to obtain The upgrowth situation information of the crops, if it is not, the camera then is adjusted according to default plan for adjustment, and it is described to receive adjustment Whether the crop map picture that described image collector is obtained after camera, meet default bat to the camera position after adjustment The standard of taking the photograph is judged, until according to the crop map picture received again, judgement show that the camera position meets default Untill shooting standard.
Crop growth state testing method and device provided in an embodiment of the present invention, by receiving described image collector The crop map picture of acquisition, analyzes the crop map picture, to obtain the upgrowth situation information of the crops, according to the life Guiding opinion is cultivated in long condition information, generation, and is sent to the mobile terminal, realizes the remote of crop growth condition information Journey is monitored in real time, and can provide cultivation guiding opinion according to the upgrowth situation information of crops, is sent to mobile terminal. Relative to prior art, input cost is relatively low, and detection process is simple, it is easy to promoted in agricultural production.
To enable the above objects, features and advantages of the present invention to become apparent, preferred embodiment cited below particularly, and coordinate Appended accompanying drawing, is described in detail below.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be attached to what is used required in embodiment Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore is not construed as pair The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is a kind of schematic block diagram of production estimation detecting system provided in an embodiment of the present invention.
Fig. 2 is a kind of schematic block diagram of server provided in an embodiment of the present invention.
Fig. 3 is a kind of schematic block diagram of production estimation detection means provided in an embodiment of the present invention.
Fig. 4 is a kind of schematic block diagram of upgrowth situation analysis module provided in an embodiment of the present invention.
Fig. 5 is another schematic block diagram of production estimation detection means provided in an embodiment of the present invention.
Fig. 6 is a kind of schematic block diagram for cultivating guiding opinion generation module provided in an embodiment of the present invention.
Fig. 7 is a kind of flow chart of production estimation detection method provided in an embodiment of the present invention.
The sub-step flow chart that Fig. 8 is step S500 in Fig. 7.
Fig. 9 is another flow chart of production estimation detection method provided in an embodiment of the present invention.
The sub-step flow chart that Figure 10 is step S900 in Fig. 9.
Icon:10- production estimation detecting systems;100- servers;110- crop growth condition detection apparatus;111- Image collection module;112- upgrowth situation analysis modules;1121- biological characteristic extraction units;1122- upgrowth situation acquisition of information Unit;113- cultivates guiding opinion generation module;1131- cultivates guiding opinion generation unit;1132- cultivates guiding opinion and sent Unit;114- identification information extraction modules;115- kind of information searching moduls;116- camera position adjusting modules;At 120- Manage device;130- memories;200- mobile terminals;300- image acquisition devices.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is A part of embodiment of the present invention, rather than whole embodiments.The present invention implementation being generally described and illustrated herein in the accompanying drawings The component of example can be arranged and designed with a variety of configurations.
Therefore, the detailed description of embodiments of the invention below to providing in the accompanying drawings is not intended to limit claimed The scope of the present invention, but be merely representative of the present invention selected embodiment.Based on the embodiment in the present invention, this area is common The every other embodiment that technical staff is obtained under the premise of creative work is not made, belongs to the model that the present invention is protected Enclose.
It should be noted that:Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi It is defined in individual accompanying drawing, then it further need not be defined and explained in subsequent accompanying drawing.
Referring to Fig. 1, the embodiments of the invention provide a kind of production estimation detecting system 10, including the He of server 100 The mobile terminal 200 and image acquisition device 300 that can be communicated respectively with the server 100.In the present embodiment, the server 100 can be communicated by network with mobile terminal 200, to enter row data communication or interaction.Equally, the server 100 can Communicated by network with image acquisition device 300, it is described to be integrated in enter row data communication or interaction, or, the server 100 Image acquisition device 300, and the integration module with communication and data-handling capacity.In the present embodiment, the network can be, but It is not limited to, cable network or wireless network.
The mobile terminal 200 can be but not limited to, the PC of user, tablet personal computer, smart mobile phone, in movement Net equipment etc..The server 100 is the background server 100 corresponding to the client application installed on the user terminal. In the present embodiment, the server 100 can be the webserver 100, database server 100, can be single service Device 100 can also be cluster of server 100 etc..Described image collector 300 is with image collecting function and communication function Intelligent image harvester.
In the present embodiment, the collection crop map picture of described image collector 300 is simultaneously sent to the server 100, described The crop map picture that 100 pairs of server is received is analyzed, and obtains upgrowth situation information, according to the upgrowth situation information, Guiding opinion is cultivated in generation, and is sent to the mobile terminal 200, and user just can check that cultivation refers on mobile terminal 200 Suggestion is led, scientific cultivation is carried out to crops according to the cultivation guiding opinion.
Referring to Fig. 2, being a kind of schematic block diagram of server 100 provided in an embodiment of the present invention.The service Device 100 includes crop growth condition detection apparatus 110, processor 120 and memory 130.The processor 120 and institute State and be directly or indirectly electrically connected between memory 130, to realize the transmission or interaction of data.For example, both pass through communication Bus or signal wire, which are realized, to be electrically connected with.The crop growth condition detection apparatus 110 include at least one can with software or The form of firmware (firmware) is stored in the software function module in the memory 130.The processor 120 is used to perform The executable module stored in memory 130, for example, the software function that the crop growth condition detection apparatus 110 includes Module or computer program.
Wherein, the memory 130 may be, but not limited to, random-access memory (Random Access Memory, RAM), read-only storage (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..Wherein, memory 130 be used for storage program, the processor 120 after execute instruction is received, Described program is performed, the method for the flow definition disclosed in any embodiment of the embodiment of the present invention can apply to processor In 120, or realized by processor 120.
The processor 120 is probably a kind of IC chip, the disposal ability with signal.Above-mentioned processor 120 Can be general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit (Network Processor, abbreviation NP) etc., can also be digital signal processor (DSP), application specific integrated circuit (ASIC), It is field programmable gate array (FPGA) or other PLDs, discrete gate or transistor logic, discrete hard Part component, it is possible to achieve or disclosed each method, step and logic diagram in the execution embodiment of the present invention.
It is appreciated that the structure shown in Fig. 2 is only signal, the server 100 can also include more more than shown in Fig. 2 Either less component or with the configuration different from shown in Fig. 2.Each component shown in Fig. 2 can use hardware, software Or its combination is realized.
Referring to Fig. 3, being a kind of schematic knot of crop growth condition detection apparatus 110 provided in an embodiment of the present invention Structure block diagram.The crop growth condition detection apparatus 110 is applied to the server 100 described in Fig. 1 and Fig. 2.The crops Upgrowth situation detection means 110 includes image collection module 111, upgrowth situation analysis module 112 and cultivates guiding opinion generation Module 113.
Wherein, described image acquisition module 111 is used for the crop map picture for receiving the acquisition of described image collector 300.
In the present embodiment, described image collector 300 is that the intelligent image with image collecting function and communication function is adopted Acquisition means.Alternatively, in the present embodiment, described image collector 300 obtains the crop map automatically every a preset duration Picture, and send to the server 100, so that described image acquisition module 111 receives the crop map picture.Need explanation Be, in the present embodiment, described image acquisition module 111 can also be sent according to the mobile terminal 200 to service area first Information acquisition request, sends the second information acquisition request, so that described image collector 300 is obtained to described image collector 300 Crop map picture is taken, and is back to the server 100.
The upgrowth situation analysis module 112 is used to analyze the crop map picture, to obtain the growth of the crops Condition information.
In the present embodiment, the biometric image that the upgrowth situation analysis module 112 is used to extract the crop map picture is special Levy, the pretreatment such as line translation, compression is entered to the biometric image feature, and by biometric image recognizer, including in movement Heart hypersphere grader, characteristic curve grader, Radial Basis Probabilistic Neural Networks grader and its nerve based on multiple Classifiers Combination Network committee machine grader etc., the biometric image feature to the crop map picture is analyzed and processed, to obtain the agriculture The upgrowth situation information of crop.It should be noted that in the present embodiment, the biometric image feature of the crop map picture can be wrapped Include rgb value, textural characteristics, geometric shape feature, wavelet character etc..
Incorporated by reference to Fig. 4, specifically, in the present embodiment, the upgrowth situation analysis module 112 includes biological characteristic and extracts single Member 1121 and upgrowth situation information acquisition unit 1122.
Wherein, the biological characteristic extraction unit 1121 is used for the rgb value and textural characteristics for extracting the crop map picture. It is understood that when it is implemented, accuracy in order to improve testing result, the crop map picture can also be extracted simultaneously Geometric shape feature and wavelet character etc..
Upgrowth situation information acquisition unit 1122 is used to analyze the rgb value and textural characteristics, and with reference to the crops Kind of information, the upgrowth situation information of the crops is obtained according to default operation rule.
Crops can obtain the agriculture in growth course by the rgb value and textural characteristics of analyzing crop map picture The upgrowth situation information of crop.However, different types of crops, when its a certain biometric image feature is similar, upgrowth situation is but It there may be larger difference.In consideration of it, in the accuracy in order to ensure testing result, the present embodiment, the upgrowth situation of crops Information will be by analyzing the rgb value and textural characteristics, and with reference to the crop specie information, according to default operation rule Obtain.
Incorporated by reference to Fig. 5, in order to obtain the crop specie information, alternatively, and in the present embodiment, the crop growth Condition detection apparatus 110 also includes identification information extraction module 114 and kind of information searching modul 115.It is described in the present embodiment Carried in crop map picture prestored in the identification information of image acquisition device 300, the server 100 identification information with The corresponding relation of the crop specie information.It should be noted that in the present embodiment, being prestored in the server 100 Replacement can be changed by the mobile terminal 200 by stating identification information and the corresponding relation of the crop specie information.
Identification information extraction module 114 is used to extract the identification information carried in the crop map picture.Kind of information is looked into Look for module 115 to be used to find out the crop specie information corresponding with the identification information according to the identification information, make the life Long status analysis module 112 obtains the farming by analyzing the crop map picture, and with reference to the crop specie information The upgrowth situation information of thing.Specifically, in the present embodiment, the upgrowth situation analysis module 112 is by analyzing the crops The rgb value and textural characteristics of image, and obtain with reference to the crop specie information upgrowth situation information of the crops.
Cultivating guiding opinion generation module 113 is used for according to the upgrowth situation information, and guiding opinion is cultivated in generation, concurrently Deliver to the mobile terminal 200.
In the present embodiment, the cultivation guiding opinion is mainly used for providing a user the fertilising guiding opinion of science. In agricultural production, when crops lack nitrogen, phosphorus element, potassium, can all there are Different Effects to the upgrowth situation of crops.Specific table It is now that in the case of nitrogen is lacked, the jaundice of crops blade leaf color is slow-growing, and is produced with the situation of precocious early ageing. In the case of phosphorus element is lacked, the spot of aubergine occurs in crops blade and rhizome, and new root is few and slow-growing.Lacking In the case of few potassium, crops limb is highly relatively low, and blade is sallow, and edge is withered serious.Thus, the crops of acquisition are passed through Upgrowth situation information, you can judge its fertilizer deficiency situation, so as to generate with targetedly cultivating guiding opinion, and send extremely The mobile terminal 200.It is understood that in the present embodiment, the cultivation guiding opinion can be also used for providing a user The crop irrigation guiding opinion of science.
Referring to Fig. 6, specifically, in the present embodiment, the cultivation guiding opinion generation module 113 includes cultivation guidance and built Discuss generation unit 1131 and cultivate guiding opinion transmitting element 1132.
Wherein, the cultivation guiding opinion generation unit 1131 is used for according to the upgrowth situation information, and with reference to described Crop specie information, generation is cultivated guiding opinion and stored.
It is different to fertilizer demand because different types of crops are when upgrowth situation is similar, in order to ensure life Into the cultivation guiding opinion reliability, alternatively, in the present embodiment, the cultivation guiding opinion generation unit 1131 exists On the basis of the upgrowth situation information, the crop specie information is more combined, generative science, which is reliably cultivated, to be referred to Lead suggestion.
The guiding opinion transmitting element 1132 of cultivating is used to receive the acquisition of information that the mobile terminal 200 is sent During request, the cultivation guiding opinion is sent to the mobile terminal 200.
It should be noted that in the present embodiment, the information acquisition request that the mobile terminal 200 is sent can implement letter Breath obtains request, to obtain the current upgrowth situation information of the crops and cultivate guiding opinion or historical information Request is obtained, to obtain the historical growth condition information of the crops and cultivate guiding opinion, so as to obtain the crops The upgrowth situation information and cultivation guiding opinion of whole growth course.
Referring to Fig. 5, in order to further enhance the reliability of the production estimation detection means 110, alternatively, In the present embodiment, the production estimation detection means 110 also includes camera position adjusting module 116.
The camera position adjusting module 116 is used for according to the crop map picture, judges described image collector 300 Camera position whether meet default shooting standard, if so, then cause the upgrowth situation analysis module 112 analyze the agriculture Crop map picture, to obtain the upgrowth situation information of the crops, if it is not, then adjusting the shooting according to default plan for adjustment Head, and the crop map picture for adjusting that described image collector 300 is obtained after the camera is received, to the shooting after adjustment Whether head position, which meets default shooting standard, is judged, until according to the crop map picture received again, judgement draws institute State untill camera position meets default shooting standard.
Specifically, in the present embodiment, the camera position adjusting module 116 can be according to the crop map received Picture, judges that the crop map, as the accounting of middle peasant's crop leaf, is preset when the accounting for judging the crops blade is less than During threshold value, then judge that the camera position of described image collector 300 does not meet default shooting standard, and count according to default adjustment Draw the adjustment camera.
In addition, in the present embodiment, described image collector 300 is in addition to including camera, in addition to telecommunication circuit, stepping electricity Machine, control circuit and controller, the telecommunication circuit are connected with the controller, and the stepper motor passes through the control circuit It is connected with the controller, the camera is arranged at the stepper motor.The controller is used for by the telecommunication circuit, The plan for adjustment that the camera position adjusting module 116 is sent is received, the control circuit is controlled, further controls the step Stepper motor is to adjust the position of the camera.
Referring to Fig. 7, be a kind of flow chart of crop growth state testing method provided in an embodiment of the present invention, it is described Method is applied to the server 100 shown in Fig. 1 and Fig. 2.It should be noted that, the method that provides of the present invention not with Fig. 7 and with Lower shown particular order is limitation.The specific steps shown in Fig. 7 will be described in detail below.
Step S100, receives the crop map picture that described image collector 300 is obtained.
In the present embodiment, the image collection module 111 that step S100 can be as shown in Figure 3 is performed.
Step S500, analyzes the crop map picture, to obtain the upgrowth situation information of the crops.
In the present embodiment, the upgrowth situation analysis module 112 that step S500 can be as shown in Figure 3 is performed.
Step S900, according to the upgrowth situation information, guiding opinion is cultivated in generation, and is sent to the mobile terminal 200。
In the present embodiment, the cultivation guiding opinion generation module 113 that step S900 can be as shown in Figure 3 is performed.
Referring to Fig. 8, specifically, in the present embodiment, step S500 can include two sons of step S510 and step S520 Step.
Step S510, extracts the rgb value and textural characteristics of the crop map picture.
In the present embodiment, the biological characteristic extraction unit 1121 that step S510 can be as shown in Figure 4 is performed.
Step S520, analyzes the rgb value and textural characteristics, and with reference to the crop specie information, according to default Operation rule obtains the upgrowth situation information of the crops.
In the present embodiment, the upgrowth situation information acquisition unit 1122 that step S520 can be as shown in Figure 4 is performed.
In addition, in the present embodiment, the identification information of image acquisition device 300, the clothes are carried in the crop map picture The corresponding relation of the identification information and the crop specie information is prestored in business device 100.Incorporated by reference to Fig. 9, the present embodiment In, the crop specie information can be obtained by following steps.
Step S200, extracts the identification information carried in the crop map picture.
In the present embodiment, the identification information extraction module 114 that step S200 can be as shown in Figure 5 is performed.
Step S300, the crop specie information corresponding with the identification information is found out according to the identification information.
In the present embodiment, the kind of information searching modul 115 that step S300 can be as shown in Figure 5 is performed.
Incorporated by reference to Figure 10, in the present embodiment, specifically, the step S900 can include step S910 and step S920 two Sub-steps.
Step S910, according to the upgrowth situation information, and with reference to the crop specie information, generation is cultivated guidance and built Discuss and store.
In the present embodiment, the cultivation guiding opinion generation unit 1131 that step S910 can be as shown in Figure 6 is performed.
Step S920, when receiving the information acquisition request that the mobile terminal 200 is sent, the cultivation guidance is built View is sent to the mobile terminal 200.
In the present embodiment, the cultivation guiding opinion transmitting element 1132 that step S920 can be as shown in Figure 6 is performed.
Alternatively, in the present embodiment, before step S500, methods described can also include, according to the crop map picture, Judge whether the camera position of described image collector 300 meets default shooting standard, if so, step S500 is then performed, if It is no, then the camera is adjusted according to default plan for adjustment, and receive described image collector 300 after the adjustment camera and obtained Whether the crop map picture taken, meet default shooting standard to the camera position after adjustment and judge, until basis The crop map picture received again, untill judgement show that the camera position meets default shooting standard.
In the present embodiment, the camera position adjusting module 116 that said process can be as shown in Figure 5 is performed.
In summary, crop growth state testing method and device provided in an embodiment of the present invention, it is described by receiving The crop map picture that image acquisition device 300 is obtained, analyzes the crop map picture, is believed with the upgrowth situation for obtaining the crops Breath, according to the upgrowth situation information, guiding opinion is cultivated in generation, and is sent to the mobile terminal 200, realizes crops The remote real time monitoring of upgrowth situation information, and cultivation guiding opinion can be provided according to the upgrowth situation information of crops, Send to mobile terminal 200.Relative to prior art, input cost is relatively low, and detection process is simple, it is easy in agricultural production Promote.
In embodiment provided herein, it should be understood that disclosed methods, devices and systems, it can also lead to Other modes are crossed to realize.Device embodiment described above is only schematical, for example, flow chart and frame in accompanying drawing Figure shows devices in accordance with embodiments of the present invention, architectural framework in the cards, the work(of method and computer program product Can and it operate.At this point, each square frame in flow chart or block diagram can represent one of a module, program segment or code Point, a part for the module, program segment or code is used to realize the executable of defined logic function comprising one or more Instruction.It should also be noted that in some implementations as replacement, the function of being marked in square frame can also be with different from attached The order marked in figure occurs.For example, two continuous square frames can essentially be performed substantially in parallel, they also may be used sometimes To perform in the opposite order, this is depending on involved function.It is also noted that each in block diagram and/or flow chart The combination of square frame and the square frame in block diagram and/or flow chart, can with function or action as defined in performing it is special based on The system of hardware is realized, or can be realized with the combination of specialized hardware and computer instruction.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row His property is included, so that process, method, article or equipment including a series of key elements not only include those key elements, and And also including other key elements being not expressly set out, or also include for this process, method, article or equipment institute inherently Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including institute Also there is other identical element in process, method, article or the equipment of stating key element.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies Change, equivalent substitution, improvement etc., should be included in the scope of the protection.It should be noted that:Similar label and letter exists Similar terms is represented in following accompanying drawing, therefore, once being defined in a certain Xiang Yi accompanying drawing, is then not required in subsequent accompanying drawing It is further defined and explained.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all be contained Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.

Claims (10)

1. a kind of crop growth state testing method, applied to server, the server can be with mobile terminal and image Collector communicates, it is characterised in that methods described includes:
Receive the crop map picture that described image collector is obtained;
The crop map picture is analyzed, to obtain the upgrowth situation information of the crops;
According to the upgrowth situation information, guiding opinion is cultivated in generation, and is sent to the mobile terminal.
2. crop growth state testing method according to claim 1, it is characterised in that taken in the crop map picture The identification information and the crop specie information are prestored in identification information with image acquisition device, the server Corresponding relation, methods described also includes:
Extract the identification information carried in the crop map picture;
The crop specie information corresponding with the identification information is found out according to the identification information;
The upgrowth situation information of the crops is obtained by analyzing the crop map picture, and with reference to the crop specie information Arrive.
3. crop growth state testing method according to claim 2, it is characterised in that the analysis crop map The step of picture, upgrowth situation information to obtain the crops, including:
Extract the rgb value and textural characteristics of the crop map picture;
The rgb value and textural characteristics are analyzed, and with reference to the crop specie information, institute is obtained according to default operation rule State the upgrowth situation information of crops.
4. crop growth state testing method according to claim 2, it is characterised in that believed according to the upgrowth situation The step of breath, generation cultivation guiding opinion, and transmission are to the mobile terminal, including:
According to the upgrowth situation information, and with reference to the crop specie information, generation is cultivated guiding opinion and stored;
When receiving the information acquisition request that the mobile terminal is sent, the cultivation guiding opinion is sent to the movement Terminal.
5. crop growth state testing method according to claim 1, it is characterised in that methods described also includes:
According to the crop map picture, judge whether the camera position of described image collector meets default shooting standard;
If so, then perform the analysis crop map picture, the step of upgrowth situation information to obtain the crops;
If it is not, then adjusting the camera according to default plan for adjustment, and receive described image collection after the adjustment camera Whether the crop map picture that device is obtained, meet default shooting standard to the camera position after adjustment and judge, until According to the crop map picture received again, untill judgement show that the camera position meets default shooting standard.
6. a kind of crop growth condition detection apparatus, applied to server, the server can be with mobile terminal and image Collector communicates, it is characterised in that described device includes:
Image collection module, the crop map picture for receiving the acquisition of described image collector;
Upgrowth situation analysis module, for analyzing the crop map picture, to obtain the upgrowth situation information of the crops;
Guiding opinion generation module is cultivated, for according to the upgrowth situation information, guiding opinion to be cultivated in generation, and is sent to institute State mobile terminal.
7. crop growth condition detection apparatus according to claim 6, it is characterised in that taken in the crop map picture The identification information and the crop specie information are prestored in identification information with image acquisition device, the server Corresponding relation, described device also includes:
Identification information extraction module, for extracting the identification information carried in the crop map picture;
Kind of information searching modul, believes for finding out the crop specie corresponding with the identification information according to the identification information Breath, makes the upgrowth situation analysis module be obtained by analyzing the crop map picture, and with reference to the crop specie information The upgrowth situation information of the crops.
8. crop growth condition detection apparatus according to claim 7, it is characterised in that the upgrowth situation analyzes mould Block includes:
Biological characteristic extraction unit, rgb value and textural characteristics for extracting the crop map picture;
Upgrowth situation information acquisition unit, for analyzing the rgb value and textural characteristics, and with reference to crop specie letter Breath, the upgrowth situation information of the crops is obtained according to default operation rule.
9. crop growth condition detection apparatus according to claim 7, it is characterised in that the cultivation guiding opinion life Include into module:
Guiding opinion generation unit is cultivated, it is raw for according to the upgrowth situation information, and with reference to the crop specie information Guiding opinion and stored into cultivating;
Guiding opinion transmitting element is cultivated, for when receiving the information acquisition request that the mobile terminal is sent, by described in Guiding opinion is cultivated to send to the mobile terminal.
10. crop growth condition detection apparatus according to claim 6, it is characterised in that described device also includes:
Camera position adjusting module, for according to the crop map picture, judging the camera position of described image collector Whether default shooting standard is met, if so, then the upgrowth situation analysis module analyzes the crop map picture, it is described to obtain The upgrowth situation information of crops, if it is not, then adjusting the camera according to default plan for adjustment, and receives the adjustment shooting Whether the crop map picture that described image collector is obtained after head, meet the camera position after adjustment default shoot and mark Standard is judged, until according to the crop map picture received again, judgement show that the camera position meets default shooting Untill standard.
CN201710561400.3A 2017-07-11 2017-07-11 Crop growth state testing method and device Pending CN107222682A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710561400.3A CN107222682A (en) 2017-07-11 2017-07-11 Crop growth state testing method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710561400.3A CN107222682A (en) 2017-07-11 2017-07-11 Crop growth state testing method and device

Publications (1)

Publication Number Publication Date
CN107222682A true CN107222682A (en) 2017-09-29

Family

ID=59953004

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710561400.3A Pending CN107222682A (en) 2017-07-11 2017-07-11 Crop growth state testing method and device

Country Status (1)

Country Link
CN (1) CN107222682A (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108133327A (en) * 2017-12-25 2018-06-08 东风农业装备(襄阳)有限公司 Agricultural equipment and agricultural management system and method
CN108901348A (en) * 2018-07-17 2018-11-30 中国铁建重工集团有限公司 A kind of cotton picker control method, system, device and readable storage medium storing program for executing
CN109376745A (en) * 2018-10-24 2019-02-22 中南民族大学 Farming activities method for pushing, device, server and storage medium
WO2019109583A1 (en) * 2017-12-05 2019-06-13 深圳春沐源控股有限公司 Disease control method and apparatus, electronic device and computer-readable storage medium
CN111479459A (en) * 2017-11-29 2020-07-31 株式会社OPTiM System, method, and program for predicting growth status or disease/pest occurrence status
JP2020180865A (en) * 2019-04-25 2020-11-05 株式会社パスコ Agricultural support device and agricultural support program
CN112418073A (en) * 2020-11-19 2021-02-26 安徽农业大学 Wheat plant nitrogen content estimation method based on unmanned aerial vehicle image fusion characteristics
CN113139683A (en) * 2021-04-19 2021-07-20 浙江甲骨文超级码科技股份有限公司 Crop cultivation method and device based on block chain and electronic device
CN115511194A (en) * 2021-06-29 2022-12-23 布瑞克农业大数据科技集团有限公司 Agricultural data processing method, system, device and medium
CN115511194B (en) * 2021-06-29 2024-07-09 布瑞克农业大数据科技集团有限公司 Agricultural data processing method, system, device and medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101718522A (en) * 2009-12-25 2010-06-02 华南农业大学 Non-contact type nondestructive detecting device for plant growth and detecting method thereof
CN104318108A (en) * 2014-10-28 2015-01-28 刘芳 Plant cultivation method and device
CN106465635A (en) * 2016-09-05 2017-03-01 深圳市双赢伟业科技股份有限公司 Soil-based agricultural interconnected production method
CN106649442A (en) * 2016-09-13 2017-05-10 上海斐讯数据通信技术有限公司 Plant growth query system and plant growth query method
CN106657017A (en) * 2016-11-23 2017-05-10 北海高创电子信息孵化器有限公司 Agricultural planting training information interactive system
CN106774070A (en) * 2016-12-27 2017-05-31 蔡艾铿 One plant growth monitoring method, device and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101718522A (en) * 2009-12-25 2010-06-02 华南农业大学 Non-contact type nondestructive detecting device for plant growth and detecting method thereof
CN104318108A (en) * 2014-10-28 2015-01-28 刘芳 Plant cultivation method and device
CN106465635A (en) * 2016-09-05 2017-03-01 深圳市双赢伟业科技股份有限公司 Soil-based agricultural interconnected production method
CN106649442A (en) * 2016-09-13 2017-05-10 上海斐讯数据通信技术有限公司 Plant growth query system and plant growth query method
CN106657017A (en) * 2016-11-23 2017-05-10 北海高创电子信息孵化器有限公司 Agricultural planting training information interactive system
CN106774070A (en) * 2016-12-27 2017-05-31 蔡艾铿 One plant growth monitoring method, device and system

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111479459A (en) * 2017-11-29 2020-07-31 株式会社OPTiM System, method, and program for predicting growth status or disease/pest occurrence status
WO2019109583A1 (en) * 2017-12-05 2019-06-13 深圳春沐源控股有限公司 Disease control method and apparatus, electronic device and computer-readable storage medium
CN108133327A (en) * 2017-12-25 2018-06-08 东风农业装备(襄阳)有限公司 Agricultural equipment and agricultural management system and method
CN108901348A (en) * 2018-07-17 2018-11-30 中国铁建重工集团有限公司 A kind of cotton picker control method, system, device and readable storage medium storing program for executing
CN109376745A (en) * 2018-10-24 2019-02-22 中南民族大学 Farming activities method for pushing, device, server and storage medium
JP2020180865A (en) * 2019-04-25 2020-11-05 株式会社パスコ Agricultural support device and agricultural support program
JP7211888B2 (en) 2019-04-25 2023-01-24 株式会社パスコ Agricultural support equipment and agricultural support programs
CN112418073A (en) * 2020-11-19 2021-02-26 安徽农业大学 Wheat plant nitrogen content estimation method based on unmanned aerial vehicle image fusion characteristics
CN112418073B (en) * 2020-11-19 2023-10-03 安徽农业大学 Wheat plant nitrogen content estimation method based on unmanned aerial vehicle image fusion characteristics
CN113139683A (en) * 2021-04-19 2021-07-20 浙江甲骨文超级码科技股份有限公司 Crop cultivation method and device based on block chain and electronic device
CN115511194A (en) * 2021-06-29 2022-12-23 布瑞克农业大数据科技集团有限公司 Agricultural data processing method, system, device and medium
CN115511194B (en) * 2021-06-29 2024-07-09 布瑞克农业大数据科技集团有限公司 Agricultural data processing method, system, device and medium

Similar Documents

Publication Publication Date Title
CN107222682A (en) Crop growth state testing method and device
CN111582055B (en) Unmanned aerial vehicle aviation pesticide application route generation method and system
Channe et al. Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-data analysis
KR101832724B1 (en) System and method for diagnosing crop through the video image
CN106954385B (en) Plant information acquisition system, plant information acquisition device, and plant information acquisition method
US20200349477A1 (en) Closed Loop Integrated Pest Management
CN105739575B (en) A kind of data fusion method of facilities vegetable environmental parameter
CN110458032B (en) Whole-process litchi growth condition monitoring method and system, cloud server and storage medium
CN107463958A (en) Insect identifies method for early warning and system
CN109344738A (en) The recognition methods of crop diseases and pest crop smothering and device
CN108140118A (en) For identifying the method and information system of at least one plant plant being planted on arable land
CN111767802A (en) Method and device for detecting abnormal state of object
CN113948220B (en) Anthrax pathogen infection stage detection method with pre-analysis capability
CN111479459A (en) System, method, and program for predicting growth status or disease/pest occurrence status
CN107908689A (en) A kind of tobacco leaf growing environment data acquisition device and its method
CN109843034A (en) Production forecast for wheatland
CN111985724B (en) Crop yield estimation method, device, equipment and storage medium
CN113049509B (en) Agricultural product detection management system based on spectrum technology
KR20210126953A (en) Non-contact pig weight and body condition measurement and method using image data
CN107609600A (en) A kind of greenhouse insect-sticking plate insect automatic recognition classification method and system
Fu et al. Kiwifruit yield estimation using image processing by an Android mobile phone
CN108846360A (en) The saliferous remote sensing recognition method, apparatus in grassland and computer-readable storage media
CN109960972A (en) A kind of farm-forestry crop recognition methods based on middle high-resolution timing remotely-sensed data
US20240020971A1 (en) System and method for identifying weeds
CN109916658A (en) Long-range soil sample acquisition method

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20170929