CN106919716A - A kind of family based on big data and image recognition conserves thymic APP - Google Patents
A kind of family based on big data and image recognition conserves thymic APP Download PDFInfo
- Publication number
- CN106919716A CN106919716A CN201710148182.0A CN201710148182A CN106919716A CN 106919716 A CN106919716 A CN 106919716A CN 201710148182 A CN201710148182 A CN 201710148182A CN 106919716 A CN106919716 A CN 106919716A
- Authority
- CN
- China
- Prior art keywords
- app
- user
- thyme
- sample
- thymic
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72406—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by software upgrading or downloading
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Human Computer Interaction (AREA)
- Catching Or Destruction (AREA)
Abstract
Thymic APP is conserved the invention discloses a kind of family based on big data and image recognition, it is characterized in that scanning thymic cauline leaf with camera after User logs in APP spends position, to cloud server, it is thyme and its growing state and pest and disease damage situation that cloud server uses image recognition technology sentence section to go out the sample to the automatic image datas and geographic location data is activation by thyme sample of APP；The data similar to the close growing state in sample geographical position are transferred in thyme large database concept again to compare, so as to draw for the thymic maintenance process of the sample and is pushed on APP.Through the above way, the present invention can allow the user for not possessing thyme maintenance knowledge completely that the simple operations for sweeping are swept using APP, it is analyzed rapidly and accurately to the thyme growing state transplanted, instructs user to take the measure of the scientific and reasonable prevention and control of plant diseases, pest control Yu routine servicing.
Description
Technical field
The present invention relates to big data and field of image recognition, more particularly to a kind of family based on big data Yu image recognition
Front yard conserves thymic APP.
Background technology
With the raising that city dweller is required domestic environment, thymic user is more and more for family's plant, but by
Lack professional knowledge, and main purpose mostly to enjoy the enjoyment that thyme brings life in the crowd of floriculture at home, rather than
The agricultural knowledge that to study those for city dweller and very strange, and Urban population rhythm of life is fast, study does not feel emerging originally
The time and efforts of the agricultural knowledge of interest is few, but thyme is a kind of relatively enervated flower variety, conserves improper being subject to
The injury of pest and disease damage, when the thyme of oneself plantation occurs pest and disease damage, it tends to be difficult to which with the naked eye the experience with oneself is told
The type of pest and disease damage is suited the remedy to the case so as to be difficult to find that correct method, and traditional way is that internet opinion is uploaded to after taking pictures
Altar, seeks help other people, but this method slowly effect, and when running into online friend each sticks to his own version or argument, user is difficult to differentiate and takes correct
Measure, causes the pest and disease damage that thyme is suffered to be delayed treatment, the consequence for causing undergrowth even dead, and a kind of based on big
Data conserve thymic APP and use big data and image recognition technology with the family of image recognition, have provided the user cloud meter
The help of calculation, can allow the user for being ignorant of thyme maintenance knowledge completely also most timely can implement science to sample thyme
Maintenance measure.
The content of the invention
Conserved in hundred the present invention solves the technical problem of a kind of family based on big data and image recognition is provided
Fragrant APP, can allow the user for not possessing thyme maintenance knowledge completely to scan transplanted thyme by mobile phone camera
Cauline leaf flower position can just reach and rapid precisely recognize the ill insect pest type of thyme institute and prophylactico-therapeutic measures and thymic day
Normal maintenance process, instructs user to carry out thymic maintenance.
In order to solve the above technical problems, one aspect of the present invention is：A kind of big data that is based on is provided with figure
As the family of identification conserves thymic APP, comprise the following steps：
Step one：The smart mobile phone hardware that high-definition camera will be carried is carried and a kind of supported with the family of image recognition based on big data
Thymic APP is protected, by APP using being connected with image identification system with high in the clouds big data, smart mobile phone APP nodes is built, often
One APP node on behalf, one APP user；
Step 2：When User logs in APP is applied, APP automatically passes the APP application messages of user geographical position, traveling mode
It is sent to the big data analysis system in high in the clouds；
Step 3：User opens APP Built-in Images identification function, and scans thymic stem respectively with smart mobile phone camera
Leaf site and flower position, APP sends prompt tone after scanning successfully, and the pictorial information that will be scanned is transmitted to high in the clouds image
Discriminance analysis system；
Step 4：High in the clouds image recognition analysis system according at the user obtain several thyme samples pictures, through artificial intelligence
Can image identification system pick out the flowers for thyme, and information identification in stem, leaf, flower samples pictures goes out the sample
Whether this thyme suffers from the species and degree of pest and disease damage and ill insect pest；
Step 5：The big data analysis system in high in the clouds combines the positional information and current temporal information of the user, excavates this
The landform of user position, landforms, climatic information, and combine the species of the sample plant that high in the clouds image identification system is provided
With ill insect pest information, the maintenance of the science under automatic search and the thyme planting location and growing state under similar environment
Method and pest management method；
Step 6：The science that the thyme of the sample that high in the clouds big data analysis system obtains cloud computing should be taken is correct
Maintenance process is transferred to the smart mobile phone APP of the user, and mobile phone A PP is anti-by the screen and loudspeaker of smart mobile phone by final result
Feed the user；
Step 7：User takes corresponding maintenance measure according to the answer that APP applications are given to the thyme, in certain day
After number, the result whether thyme growing state is effectively improved is fed back to APP by user；
Step 8：APP sends to high in the clouds big data analysis system the feedback of user, and such as sample obtains effective Feedback,
Then by its typing large database concept, help is provided for the user for after；Such as the sample obtains negative feedback, then require user again
Secondary offer thymic stem, leaf, the scanned picture data of flower, and large database concept is labeled, repeat step step 4
To step 8, untill stopping feedback when the positive feedback or user that user is obtained in step 8 are in step 7.
Further, APP is using same hundred that the same place place of the positional information of user and scanning input is transplanted
In fragrant stem, leaf, spend the pictorial information of three key positions to be transferred to cloud server, the image identification system of cloud server
Mass data in database is compared with the sample data information, the entitled thyme of the plant and its pest and disease damage letter is drawn
Breath；The big data analysis system in high in the clouds by the category information combining position information of the sample and large database concept with same disease
The characteristics of thymic treating method of insect pest combines plantation area, after comparing, show that the sample thyme is optimal
Maintenance solution, and the program is transferred to user mobile phone.
Further, APP is given the user after sample thyme most preferably conserves solution, possesses user to thyme exhibition
The feedback function after embodiment, and the feedback by information and check and correction are opened, contributes to the large data center database in high in the clouds
It is abundant with update, be allowed to the self-teaching function of possessing machine while analyze data, allow cloud computing result with user
Increasing for sample size and it is more accurate.
The beneficial effects of the invention are as follows：The geographical location information and thyme cauline leaf flower that the present invention is sent by user shine
Piece information, the thyme database information planted with each department of magnanimity on cloud computing server using image recognition technology is entered
Row is compared, and draws the prevention and control of plant diseases, pest control and maintenance measure for user's thyme growing state, and will by APP of the invention
Result feeds back to user mobile phone, solves the problems, such as to be run into during user's maintenance is thymic, reduces in user learning hundred
The work of perfume maintenance relevant knowledge, makes the life of user more fine.
Brief description of the drawings
Fig. 1 is the control flow chart that a kind of family based on big data and image recognition of the present invention conserves thymic APP.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.
As shown in figure 1, being that a kind of family based on big data and image recognition conserves thymic APP, including following step
Suddenly：
Step one：The smart mobile phone hardware that high-definition camera will be carried is carried and a kind of supported with the family of image recognition based on big data
Thymic APP is protected, by APP using being connected with image identification system with high in the clouds big data, smart mobile phone APP nodes is built, often
One APP node on behalf, one APP user；
Step 2：When User logs in APP is applied, APP automatically passes the APP application messages of user geographical position, traveling mode
It is sent to the big data analysis system in high in the clouds；
Step 3：User opens APP Built-in Images identification function, and scans thymic stem respectively with smart mobile phone camera
Leaf site and flower position, APP sends prompt tone after scanning successfully, and the pictorial information that will be scanned is transmitted to high in the clouds image
Discriminance analysis system；
Step 4：High in the clouds image recognition analysis system according at the user obtain several thyme samples pictures, through artificial intelligence
Can image identification system pick out the flowers for thyme, and information identification in stem, leaf, flower samples pictures goes out the sample
Whether this thyme suffers from the species and degree of pest and disease damage and ill insect pest；
Step 5：The big data analysis system in high in the clouds combines the positional information and current temporal information of the user, excavates this
The landform of user position, landforms, climatic information, and combine the species of the sample plant that high in the clouds image identification system is provided
With ill insect pest information, the maintenance of the science under automatic search and the thyme planting location and growing state under similar environment
Method and pest management method；
Step 6：The science that the thyme of the sample that high in the clouds big data analysis system obtains cloud computing should be taken is correct
Maintenance process is transferred to the smart mobile phone APP of the user, and mobile phone A PP is anti-by the screen and loudspeaker of smart mobile phone by final result
Feed the user；
Step 7：User takes corresponding maintenance measure according to the answer that APP applications are given to the thyme, in certain day
After number, the result whether thyme growing state is effectively improved is fed back to APP by user；
Step 8：APP sends to high in the clouds big data analysis system the feedback of user, and such as sample obtains effective Feedback,
Then by its typing large database concept, help is provided for the user for after；Such as the sample obtains negative feedback, then require user again
Secondary offer thymic stem, leaf, the scanned picture data of flower, and large database concept is labeled, repeat step step 4
To step 8, untill stopping feedback when the positive feedback or user that user is obtained in step 8 are in step 7.
Claims (3)
1. a kind of family based on big data and image recognition conserves thymic APP, it is characterised in that comprise the following steps：
Step one：The smart mobile phone hardware that high-definition camera will be carried is carried and a kind of supported with the family of image recognition based on big data
Thymic APP is protected, by APP using being connected with image identification system with high in the clouds big data, smart mobile phone APP nodes is built, often
One APP node on behalf, one APP user；
Step 2：When User logs in APP is applied, APP automatically passes the APP application messages of user geographical position, traveling mode
It is sent to the big data analysis system in high in the clouds；
Step 3：User opens APP Built-in Images identification function, and scans thymic stem respectively with smart mobile phone camera
Leaf site and flower position, APP sends prompt tone after scanning successfully, and the pictorial information that will be scanned is transmitted to high in the clouds image
Discriminance analysis system；
Step 4：High in the clouds image recognition analysis system according at the user obtain several thyme samples pictures, through artificial intelligence
Can image identification system pick out the flowers for thyme, and information identification in stem, leaf, flower samples pictures goes out the sample
Whether this thyme suffers from the species and degree of pest and disease damage and ill insect pest；
Step 5：The big data analysis system in high in the clouds combines the positional information and current temporal information of the user, excavates this
The landform of user position, landforms, climatic information, and combine the species of the sample plant that high in the clouds image identification system is provided
With ill insect pest information, the maintenance of the science under automatic search and the thyme planting location and growing state under similar environment
Method and pest management method；
Step 6：The science that the thyme of the sample that high in the clouds big data analysis system obtains cloud computing should be taken is correct
Maintenance process is transferred to the smart mobile phone APP of the user, and mobile phone A PP is anti-by the screen and loudspeaker of smart mobile phone by final result
Feed the user；
Step 7：User takes corresponding maintenance measure according to the answer that APP applications are given to the thyme, in certain day
After number, the result whether thyme growing state is effectively improved is fed back to APP by user；
Step 8：APP sends to high in the clouds big data analysis system the feedback of user, and such as sample obtains effective Feedback,
Then by its typing large database concept, help is provided for the user for after；Such as the sample obtains negative feedback, then require user again
Secondary offer thymic stem, leaf, the scanned picture data of flower, and large database concept is labeled, repeat step step 4
To step 8, untill stopping feedback when the positive feedback or user that user is obtained in step 8 are in step 7.
2. a kind of family based on big data and image recognition according to claim 1 conserves thymic APP, its feature
It is：APP using by same thymic stem of the same place of the positional information of user and scanning input place plant, leaf,
The pictorial information of three key positions is spent to be transferred to cloud server, the image identification system of cloud server is by database
Mass data is compared with the sample data information, draws the entitled thyme of the plant and its disease and insect information；The big number in high in the clouds
According to analysis system by the thyme with same pest and disease damage in the category information combining position information of the sample and large database concept
Treating method combine plantation area the characteristics of, after comparing, draw the optimal maintenance solution party of the sample thyme
Case, and the program is transferred to user mobile phone.
3. a kind of family based on big data and image recognition according to claim 1 conserves thymic APP, its feature
It is：APP is given the user after sample thyme most preferably conserves solution, is possessed after user launches embodiment to thyme
Feedback function, and feedback by information and check and correction, contribute to high in the clouds large data center database it is abundant with update, make
The self-teaching function of possessing machine while analyze data, allow cloud computing result with increasing for user's sample size
It is more accurate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710148182.0A CN106919716A (en) | 2017-03-14 | 2017-03-14 | A kind of family based on big data and image recognition conserves thymic APP |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710148182.0A CN106919716A (en) | 2017-03-14 | 2017-03-14 | A kind of family based on big data and image recognition conserves thymic APP |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106919716A true CN106919716A (en) | 2017-07-04 |
Family
ID=59461021
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710148182.0A Pending CN106919716A (en) | 2017-03-14 | 2017-03-14 | A kind of family based on big data and image recognition conserves thymic APP |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106919716A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104318108A (en) * | 2014-10-28 | 2015-01-28 | 刘芳 | Plant cultivation method and device |
| CN105787446A (en) * | 2016-02-24 | 2016-07-20 | 上海劲牛信息技术有限公司 | Smart agricultural insect disease remote automatic diagnosis system |
| CN105868784A (en) * | 2016-03-29 | 2016-08-17 | 安徽大学 | Disease and insect pest detection system based on SAE-SVM |
-
2017
- 2017-03-14 CN CN201710148182.0A patent/CN106919716A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104318108A (en) * | 2014-10-28 | 2015-01-28 | 刘芳 | Plant cultivation method and device |
| CN105787446A (en) * | 2016-02-24 | 2016-07-20 | 上海劲牛信息技术有限公司 | Smart agricultural insect disease remote automatic diagnosis system |
| CN105868784A (en) * | 2016-03-29 | 2016-08-17 | 安徽大学 | Disease and insect pest detection system based on SAE-SVM |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Nicholson et al. | Flowering resources distract pollinators from crops: Model predictions from landscape simulations | |
| Soini et al. | Framing the biodiversity of agricultural landscape: The essence of local conceptions and constructions | |
| CN106682658A (en) | APP (Application) for domestically raising Chinese herbaceous peony flowers based on big data and image identification | |
| CN106682655A (en) | Domestic Hibiscus rosa-sinensis culture APP based on big data and image recognition | |
| Silva et al. | Learning, body and territory among indigenous Xakriabá boys | |
| CN106899683A (en) | A kind of family based on big data and image recognition conserves the APP of kaffir lily | |
| CN106919935A (en) | A kind of family based on big data and image recognition conserves the APP of camellia | |
| CN106909949A (en) | A kind of family based on big data and image recognition conserves the APP of poinsettia | |
| CN106919714A (en) | A kind of family based on big data and image recognition conserves the APP of fish pelargonium | |
| CN106919936A (en) | A kind of family based on big data and image recognition conserves the APP of gardenia | |
| CN107066947A (en) | A kind of family based on big data and image recognition conserves the APP of podocarpus | |
| CN107066948A (en) | A kind of family based on big data and image recognition conserves the APP of laurustinus | |
| CN106682656A (en) | Domestic Hippeastrum rutilum culture APP based on big data and image recognition | |
| CN106682660A (en) | APP for household cultivation of crape myrtle based on big data and image identification | |
| CN106682661A (en) | Home breeding Schefflera octophylla APP based on big data and image identification | |
| CN106682659A (en) | APP for family cultivation of Rhododendrons based on big data and image identification | |
| CN106919716A (en) | A kind of family based on big data and image recognition conserves thymic APP | |
| CN106934370A (en) | A kind of family based on big data and image recognition conserves the APP of Ligustrum quihoui | |
| CN106909914A (en) | A kind of family based on big data and image recognition conserves the APP of sweet osmanthus | |
| CN106909912A (en) | A kind of family based on big data and image recognition conserves liliaceous APP | |
| CN106818314A (en) | A kind of family based on big data and image recognition conserves the APP of cyclamen | |
| CN106934371A (en) | A kind of family based on big data and image recognition conserves the APP of freesia | |
| CN106919715A (en) | A kind of family based on big data and image recognition conserves the APP of winter daphne flower | |
| CN106817430A (en) | A kind of family based on big data and image recognition conserves the APP of marigold | |
| CN106934369A (en) | A kind of family based on big data and image recognition conserves the APP of Bougainvillea spectabilis |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170704 |