CN107222682A - Crop growth state testing method and device - Google Patents
Crop growth state testing method and device Download PDFInfo
- 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
Links
- 230000012010 growth Effects 0.000 title claims abstract description 36
- 238000012360 testing method Methods 0.000 title claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 26
- 238000000034 method Methods 0.000 claims abstract description 25
- 241000894007 species Species 0.000 claims description 34
- 238000004458 analytical method Methods 0.000 claims description 20
- 238000000605 extraction Methods 0.000 claims description 11
- 239000000284 extract Substances 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 8
- 238000012271 agricultural production Methods 0.000 abstract description 5
- 230000015654 memory Effects 0.000 description 14
- 238000010586 diagram Methods 0.000 description 12
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 10
- 230000006870 function Effects 0.000 description 10
- 241000196324 Embryophyta Species 0.000 description 9
- 229930002875 chlorophyll Natural products 0.000 description 9
- 235000019804 chlorophyll Nutrition 0.000 description 9
- ATNHDLDRLWWWCB-AENOIHSZSA-M chlorophyll a Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 ATNHDLDRLWWWCB-AENOIHSZSA-M 0.000 description 9
- 238000004519 manufacturing process Methods 0.000 description 9
- 238000004891 communication Methods 0.000 description 6
- 229910052757 nitrogen Inorganic materials 0.000 description 5
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 description 3
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 235000015097 nutrients Nutrition 0.000 description 3
- 229910052698 phosphorus Inorganic materials 0.000 description 3
- 239000011574 phosphorus Substances 0.000 description 3
- 230000008635 plant growth Effects 0.000 description 3
- 239000011591 potassium Substances 0.000 description 3
- 229910052700 potassium Inorganic materials 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000009313 farming Methods 0.000 description 2
- 239000003337 fertilizer Substances 0.000 description 2
- 206010023126 Jaundice Diseases 0.000 description 1
- 244000061458 Solanum melongena Species 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- QDOXWKRWXJOMAK-UHFFFAOYSA-N dichromium trioxide Chemical compound O=[Cr]O[Cr]=O QDOXWKRWXJOMAK-UHFFFAOYSA-N 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000003973 irrigation Methods 0.000 description 1
- 230000002262 irrigation Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 210000005036 nerve Anatomy 0.000 description 1
- 238000004549 pulsed laser deposition Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/64—Computer-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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30188—Vegetation; 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
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.
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)
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)
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 |
-
2017
- 2017-07-11 CN CN201710561400.3A patent/CN107222682A/en active Pending
Patent Citations (6)
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)
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 |