CN106682657A - APP (Application) for domestically raising Chinese rose flowers based on big data and image identification - Google Patents
APP (Application) for domestically raising Chinese rose flowers based on big data and image identification Download PDFInfo
- Publication number
- CN106682657A CN106682657A CN201710147799.0A CN201710147799A CN106682657A CN 106682657 A CN106682657 A CN 106682657A CN 201710147799 A CN201710147799 A CN 201710147799A CN 106682657 A CN106682657 A CN 106682657A
- Authority
- CN
- China
- Prior art keywords
- app
- user
- flos rosae
- sample
- rosae chinensiss
- 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.)
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
- G06V20/36—Indoor scenes
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G27/00—Self-acting watering devices, e.g. for flower-pots
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
- A01G9/24—Devices or systems for heating, ventilating, regulating temperature, illuminating, or watering, in greenhouses, forcing-frames, or the like
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/38—Creation or generation of source code for implementing user interfaces
-
- 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
-
- 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
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
-
- 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
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72457—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to geographic location
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
Abstract
The invention discloses an APP (Application) for domestically raising Chinese rose flowers based on big data and image identification. The APP is characterized in that after a user logs in the APP, stem, leaf and flower parts of the Chinese rose flowers are scanned through a camera, and image data and geographical position data of a Chinese rose flower sample are automatically sent to a cloud server through the APP; the cloud server judges whether the sample is the Chinese rose flower, and growth conditions and plant disease and insect pest conditions of the sample by adopting an image identification technology; and data similar with a close growth condition of a geographical position of the sample is called from a big database of the Chinese rose flowers and is compared, so that a raising method of the Chinese rose flower sample is obtained and is pushed to the APP. With the adoption of the manner, users who have no Chinese rose flower raising knowledge can rapidly and accurately analyze the growth conditions of the planted Chinese rose flowers through simple operation of scanning by adopting the APP, and the APP guides the users to adopt scientific and reasonable plant disease and insect pest prevention and control and daily raising measures.
Description
Technical field
It is more particularly to a kind of based on big data and the family of image recognition the present invention relates to big data and field of image recognition
Front yard conserves the APP of Flos Rosae Chinensiss.
Background technology
With the raising that urbanite is required domestic environment, the user of family's plant Flos Rosae Chinensiss is more and more, but by
Lack Professional knowledge, and main purpose mostly to enjoy the enjoyment that Flos Rosae Chinensiss bring life in the crowd of floriculture at home, rather than
The agricultural knowledge that to study those for urbanite and very strange, and Urban population rhythm of life is fast, study does not originally feel emerging
The time and efforts of the agricultural knowledge of interest is few, but Flos Rosae Chinensiss are a kind of relatively enervated flower varieties, conserves improper being subject to
The injury of pest and disease damage, when the Flos Rosae Chinensiss of oneself plantation occur pest and disease damage, it tends to be difficult to the naked eye tell with the experience of oneself
The type of pest and disease damage is suited the remedy to the case so as to be difficult to find that correct method, traditional way be take pictures after be uploaded to the Internet opinion
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 Flos Rosae Chinensiss are suffered to be delayed treatment, the consequence for causing undergrowth even dead, and a kind of based on big
Data adopt big data and image recognition technology with the APP of family's maintenance Flos Rosae Chinensiss of image recognition, have provided the user cloud meter
The help of calculation, can allow being ignorant of the user of Flos Rosae Chinensiss maintenance knowledge completely and also most timely to sample Flos Rosae Chinensiss can implement science
Maintenance measure.
The content of the invention
The invention mainly solves the technical problem of providing a kind of family maintenance Chinese rose based on big data and image recognition
Colored APP, can allow the user for not possessing Flos Rosae Chinensiss maintenance knowledge completely to scan transplanted Flos Rosae Chinensiss by mobile phone camera
Stem and leaf flower position can just reach the day for precisely recognizing Flos Rosae Chinensiss institute illness insect pest type and prophylactico-therapeutic measuress and Flos Rosae Chinensiss rapidly
Often maintenance process, instructs user to carry out the maintenance of Flos Rosae Chinensiss.
To solve above-mentioned technical problem, 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 the APP of Flos Rosae Chinensiss, comprise the following steps：
Step one：Smart mobile phone hardware with high-definition camera is carried and a kind of is supported with the family of image recognition based on big data
The APP of shield Flos Rosae Chinensiss, by APP using being connected with image identification system with high in the clouds big data, builds smart mobile phone APP nodes, 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 the stem of Flos Rosae Chinensiss respectively with smart mobile phone photographic head
Leaf site and flower position, APP sends prompt tone after scanning success, and the pictorial information for scanning is transmitted to high in the clouds image
Discriminatory analysiss system；
Step 4：High in the clouds image recognition analysis system is according to the several Flos Rosae Chinensiss samples pictures obtained at the user, the artificial intelligence of Jing
It is Flos Rosae Chinensiss that energy image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample
Whether this Flos Rosae Chinensis 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 the species of the sample plant provided with reference to high in the clouds image identification system
With ill insect pest information, the maintenance with the science under similar environment under the Flos Rosae Chinensiss planting location and growing state is searched for automatically
Method and pest management method；
Step 6：The science that the Flos Rosae Chinensiss 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 the APP applications are given to the Flos Rosae Chinensiss, in certain day
After number, the result whether Flos Rosae Chinensiss growing state obtains being effectively improved is fed back to APP by user；
Step 8：APP sends the feedback of user to high in the clouds big data analysis system, and the such as sample obtains effective Feedback,
Then by its typing large database concept, for the user for after help is provided；Such as the sample obtains negative feedback, then require user again
It is secondary that stem, leaf, the scanned picture data of flower of the Flos Rosae Chinensiss are provided, and large database concept is labeled, repeat step step 4
To step 8, till stopping feedback when the positive feedback or user that user is obtained in step 8 is in step 7.
Further, the same moon that APP transplants using the same place place by the positional information of user and scanning input
Season flower 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 data base is compared with the sample data information, the entitled Flos Rosae Chinensiss 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 for the treatment of method of the Flos Rosae Chinensiss of insect pest combines plantation area, after comparing, show that the sample Flos Rosae Chinensiss are optimal
Maintenance solution, and the program is transferred to into user mobile phone.
Further, APP gives the user sample Flos Rosae Chinensiss and most preferably conserves after solution, possesses user to Chinese rose flower show
The feedback function after embodiment, and the feedback through information and check and correction are opened, contributes to the large data center data base's in high in the clouds
It is abundant with update, be allowed to the self-teaching function of possessing machine while analytical data, allow cloud computing result with user
Increasing for sample size and it is more accurate.
The invention has the beneficial effects as follows：The geographical location information and Flos Rosae Chinensiss stem and leaf flower that the present invention is sent by user shines
Piece information, the Flos Rosae Chinensiss 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 Flos Rosae Chinensiss growing state, and will by the APP of the present invention
As a result user mobile phone is fed back to, is run into during solving the problems, such as user's maintenance Flos Rosae Chinensiss, reduce user learning Chinese rose
The work of flower maintenance relevant knowledge, makes the life of user more fine.
Description of the drawings
Fig. 1 is a kind of control flow chart of the APP of the family's maintenance Flos Rosae Chinensiss based on big data and image recognition of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings the invention will be further described.
As shown in figure 1, be the APP that a kind of family based on big data and image recognition conserves Flos Rosae Chinensiss, including following step
Suddenly：
Step one：Smart mobile phone hardware with high-definition camera is carried and a kind of is supported with the family of image recognition based on big data
The APP of shield Flos Rosae Chinensiss, by APP using being connected with image identification system with high in the clouds big data, builds smart mobile phone APP nodes, 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 the stem of Flos Rosae Chinensiss respectively with smart mobile phone photographic head
Leaf site and flower position, APP sends prompt tone after scanning success, and the pictorial information for scanning is transmitted to high in the clouds image
Discriminatory analysiss system；
Step 4：High in the clouds image recognition analysis system is according to the several Flos Rosae Chinensiss samples pictures obtained at the user, the artificial intelligence of Jing
It is Flos Rosae Chinensiss that energy image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample
Whether this Flos Rosae Chinensis 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 the species of the sample plant provided with reference to high in the clouds image identification system
With ill insect pest information, the maintenance with the science under similar environment under the Flos Rosae Chinensiss planting location and growing state is searched for automatically
Method and pest management method；
Step 6：The science that the Flos Rosae Chinensiss 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 the APP applications are given to the Flos Rosae Chinensiss, in certain day
After number, the result whether Flos Rosae Chinensiss growing state obtains being effectively improved is fed back to APP by user；
Step 8：APP sends the feedback of user to high in the clouds big data analysis system, and the such as sample obtains effective Feedback,
Then by its typing large database concept, for the user for after help is provided；Such as the sample obtains negative feedback, then require user again
It is secondary that stem, leaf, the scanned picture data of flower of the Flos Rosae Chinensiss are provided, and large database concept is labeled, repeat step step 4
To step 8, till stopping feedback when the positive feedback or user that user is obtained in step 8 is in step 7.
Claims (3)
1. a kind of family based on big data and image recognition conserves the APP of Flos Rosae Chinensiss, it is characterised in that comprise the following steps：
Step one：Smart mobile phone hardware with high-definition camera is carried and a kind of is supported with the family of image recognition based on big data
The APP of shield Flos Rosae Chinensiss, by APP using being connected with image identification system with high in the clouds big data, builds smart mobile phone APP nodes, 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 the stem of Flos Rosae Chinensiss respectively with smart mobile phone photographic head
Leaf site and flower position, APP sends prompt tone after scanning success, and the pictorial information for scanning is transmitted to high in the clouds image
Discriminatory analysiss system；
Step 4：High in the clouds image recognition analysis system is according to the several Flos Rosae Chinensiss samples pictures obtained at the user, the artificial intelligence of Jing
It is Flos Rosae Chinensiss that energy image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample
Whether this Flos Rosae Chinensis 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 the species of the sample plant provided with reference to high in the clouds image identification system
With ill insect pest information, the maintenance with the science under similar environment under the Flos Rosae Chinensiss planting location and growing state is searched for automatically
Method and pest management method；
Step 6：The science that the Flos Rosae Chinensiss 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 the APP applications are given to the Flos Rosae Chinensiss, in certain day
After number, the result whether Flos Rosae Chinensiss growing state obtains being effectively improved is fed back to APP by user；
Step 8：APP sends the feedback of user to high in the clouds big data analysis system, and the such as sample obtains effective Feedback,
Then by its typing large database concept, for the user for after help is provided；Such as the sample obtains negative feedback, then require user again
It is secondary that stem, leaf, the scanned picture data of flower of the Flos Rosae Chinensiss are provided, and large database concept is labeled, repeat step step 4
To step 8, till stopping feedback when the positive feedback or user that user is obtained in step 8 is in step 7.
2. a kind of family based on big data and image recognition according to claim 1 conserves the APP of Flos Rosae Chinensiss, its feature
It is：APP using by the stem of the same Flos Rosae Chinensiss of the same place of the positional information of user and scanning input place plant, leaf,
The pictorial information for spending three key positions is transferred to cloud server, and the image identification system of cloud server is by data base
Mass data is compared with the sample data information, draws the entitled Flos Rosae Chinensiss of the plant and its disease and insect information；The big number in high in the clouds
According to analysis system by the Flos Rosae Chinensiss 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 Flos Rosae Chinensiss
Case, and the program is transferred to into user mobile phone.
3. a kind of family based on big data and image recognition according to claim 1 conserves the APP of Flos Rosae Chinensiss, its feature
It is：APP gives the user sample Flos Rosae Chinensiss and most preferably conserves after solution, possesses user and Flos Rosae Chinensiss are launched after embodiment
Feedback function, and the feedback through information and check and correction, contribute to high in the clouds large data center data base it is abundant with update, make
The self-teaching function of possessing machine while analytical 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 |
|---|---|---|---|
| CN201710147799.0A CN106682657A (en) | 2017-03-14 | 2017-03-14 | APP (Application) for domestically raising Chinese rose flowers based on big data and image identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710147799.0A CN106682657A (en) | 2017-03-14 | 2017-03-14 | APP (Application) for domestically raising Chinese rose flowers based on big data and image identification |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106682657A true CN106682657A (en) | 2017-05-17 |
Family
ID=58828779
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710147799.0A Pending CN106682657A (en) | 2017-03-14 | 2017-03-14 | APP (Application) for domestically raising Chinese rose flowers based on big data and image identification |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106682657A (en) |
Citations (2)
| 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 |
-
2017
- 2017-03-14 CN CN201710147799.0A patent/CN106682657A/en active Pending
Patent Citations (2)
| 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 |
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Application publication date: 20170517 |