CN106682996A - APP for household cultivation of aglaia odorata based on big data and image identification - Google Patents
APP for household cultivation of aglaia odorata based on big data and image identification Download PDFInfo
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- CN106682996A CN106682996A CN201710147792.9A CN201710147792A CN106682996A CN 106682996 A CN106682996 A CN 106682996A CN 201710147792 A CN201710147792 A CN 201710147792A CN 106682996 A CN106682996 A CN 106682996A
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- app
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- milan
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- big data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
Abstract
The invention discloses an APP for household cultivation of aglaia odorata based on big data and image identification. The APP is characterized in that after logging in the APP, a user scans the stem, leaves and flowers of aglaia odorata with a camera, the APP automatically sends picture data and geographic position data of an aglaia odorata sample to a cloud server, and the cloud server judges that the sample is aglaia odorata and also judges growing situations and insect and disease situations of the aglaia odorata through an image identification technology; and the user extracts, from an aglaia odorata big database, data that is close to the geographic position and similar to the growing situations of the sample, and compares the data, so that cultivation methods for the sample aglaia odorata are obtained and pushed to the APP. Through the above mode, a user who completely knows nothing about aglaia odorata cultivation knowledge can quickly and accurately analyze growing conditions of aglaia odorata planted by the user by carrying out an easy operation of APP scanning, so the APP can guide the user to take scientific and reasonable measures to realize insect and disease control and daily maintenance.
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 in Milan.
Background technology
With the raising that urbanite is required domestic environment, family transplant Milan user it is more and more, yet with
The crowd of floriculture at home lacks Professional knowledge, and main purpose to enjoy the enjoyment that Milan brings life mostly, and non-study
Those for urbanite and very strange agricultural knowledges, and Urban population rhythm of life is fast, learns originally uninterested
The time and efforts of agricultural knowledge is few, but Milan is a kind of relatively enervated flower variety, and maintenance is improper to be subject to pest and disease damage
Injury, when oneself plantation Milan occur pest and disease damage when, it tends to be difficult to the naked eye tell pest and disease damage with the experience of oneself
Type 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 internet forum, seek help it
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 take correct measure, causes
The pest and disease damage that Milan is suffered from is delayed treatment, the consequence for causing undergrowth even dead, and one kind is based on big data and image
The family of identification conserves the APP in Milan using big data and image recognition technology, has provided the user the help of cloud computing, can
Allow be ignorant of completely Milan maintenance knowledge user also can most timely to sample Milan implement science maintenance measure.
The content of the invention
The invention mainly solves the technical problem of providing a kind of family based on big data and image recognition conserves Milan
APP, can allow stem and leaf of the user by the transplanted Milan of mobile phone camera scanning for not possessing Milan maintenance knowledge completely
Flower position can just reach the routine servicing method for precisely recognizing Milan institute illness insect pest type and prophylactico-therapeutic measuress and Milan rapidly,
User is instructed to carry out the maintenance in Milan.
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 in Milan, 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 in shield Milan, by APP using being connected with image identification system with high in the clouds big data, builds smart mobile phone APP nodes, each
One APP user of individual APP node on behalf；
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 and leaf in Milan respectively with smart mobile phone photographic head
Position and flower position, APP sends prompt tone after scanning success, and the pictorial information for scanning is transmitted to the knowledge of high in the clouds image
Other analysis system；
Step 4：High in the clouds image recognition analysis system is according to the several Zhang meter Lan samples pictures obtained at the user, Jing artificial intelligences
It is Milan that image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample rice
The blue species and degree for whether suffering from 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 side with the science under similar environment under Milan planting location and growing state is searched for automatically
Method and pest management method；
Step 6：The science that the Milan for the sample that high in the clouds big data analysis system obtains cloud computing should take correctly is supported
Maintaining method is transferred to the smart mobile phone APP of the user, the screen and loudspeaker feedback that final result is passed through smart mobile phone by mobile phone A PP
Give the user；
Step 7：User takes corresponding maintenance measure according to the answer that the APP applications are given to the Milan, in certain natural law
Afterwards, the result whether Milan 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 in the Milan are provided, and large database concept is labeled, repeat step step 4 extremely
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 rice that APP transplants using the same place place by the positional information of user and scanning input
Blue stem, leaf, the pictorial information of three key positions is spent to be transferred to cloud server, the image identification system of cloud server will
Mass data in data base is compared with the sample data information, draws the entitled Milan of the plant and its disease and insect information；Cloud
The big data analysis system at end by the category information combining position information of the sample and large database concept with same pest and disease damage
Milan treating method combine plantation area the characteristics of, after comparing, draw the optimal maintenance solution in the sample Milan
Certainly scheme, and the program is transferred to into user mobile phone.
Further, APP gives the user sample Milan and most preferably conserves after solution, possesses user and launches real to Milan
Apply the feedback function after scheme, and the feedback through information and check and correction, contribute to high in the clouds large data center data base it is abundant
With renewal, be allowed to the self-teaching function of possessing machine while analytical data, allow cloud computing result with user's sample
Amount increasing and it is more accurate.
The invention has the beneficial effects as follows：Geographical location information and Milan stem and leaf flower photo that the present invention is sent by user
Information, Milan database information planted with each department of magnanimity on cloud computing server using image recognition technology is compared
It is right, the prevention and control of plant diseases, pest control and maintenance measure for user Milan growing state is drawn, and it is by the APP of the present invention that result is anti-
User mobile phone is fed to, solves the problems, such as that user runs into during conserving Milan, reduce the maintenance of user learning Milan related
The work of knowledge, makes the life of user more fine.
Description of the drawings
Fig. 1 is the control flow chart of the APP that a kind of family based on big data and image recognition of the present invention conserves Milan.
Specific embodiment
Below in conjunction with the accompanying drawings the invention will be further described.
As shown in figure 1, being the APP that a kind of family based on big data and image recognition conserves Milan, 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 in shield Milan, by APP using being connected with image identification system with high in the clouds big data, builds smart mobile phone APP nodes, each
One APP user of individual APP node on behalf；
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 and leaf in Milan respectively with smart mobile phone photographic head
Position and flower position, APP sends prompt tone after scanning success, and the pictorial information for scanning is transmitted to the knowledge of high in the clouds image
Other analysis system；
Step 4：High in the clouds image recognition analysis system is according to the several Zhang meter Lan samples pictures obtained at the user, Jing artificial intelligences
It is Milan that image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample rice
The blue species and degree for whether suffering from 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 side with the science under similar environment under Milan planting location and growing state is searched for automatically
Method and pest management method；
Step 6：The science that the Milan for the sample that high in the clouds big data analysis system obtains cloud computing should take correctly is supported
Maintaining method is transferred to the smart mobile phone APP of the user, the screen and loudspeaker feedback that final result is passed through smart mobile phone by mobile phone A PP
Give the user；
Step 7：User takes corresponding maintenance measure according to the answer that the APP applications are given to the Milan, in certain natural law
Afterwards, the result whether Milan 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 in the Milan are provided, and large database concept is labeled, repeat step step 4 extremely
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 in Milan, 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 in shield Milan, by APP using being connected with image identification system with high in the clouds big data, builds smart mobile phone APP nodes, each
One APP user of individual APP node on behalf；
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 and leaf in Milan respectively with smart mobile phone photographic head
Position and flower position, APP sends prompt tone after scanning success, and the pictorial information for scanning is transmitted to the knowledge of high in the clouds image
Other analysis system；
Step 4：High in the clouds image recognition analysis system is according to the several Zhang meter Lan samples pictures obtained at the user, Jing artificial intelligences
It is Milan that image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample rice
The blue species and degree for whether suffering from 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 side with the science under similar environment under Milan planting location and growing state is searched for automatically
Method and pest management method；
Step 6：The science that the Milan for the sample that high in the clouds big data analysis system obtains cloud computing should take correctly is supported
Maintaining method is transferred to the smart mobile phone APP of the user, the screen and loudspeaker feedback that final result is passed through smart mobile phone by mobile phone A PP
Give the user；
Step 7：User takes corresponding maintenance measure according to the answer that the APP applications are given to the Milan, in certain natural law
Afterwards, the result whether Milan 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 in the Milan are provided, and large database concept is labeled, repeat step step 4 extremely
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 in Milan, and its feature exists
In：APP is applied the stem in same Milan of the same place place plant of the positional information of user and scanning input, leaf, is spent three
The pictorial information of individual key position is transferred to cloud server, and the image identification system of cloud server is by the magnanimity in data base
Data are compared with the sample data information, draw the entitled Milan of the plant and its disease and insect information；The big data analysis in high in the clouds
System does the process in the Milan with same pest and disease damage in the category information combining position information of the sample and large database concept
The characteristics of method combines plantation area, after comparing, draws the optimal maintenance solution in the sample Milan, and by the party
Case is transferred to user mobile phone.
3. a kind of family based on big data and image recognition according to claim 1 conserves the APP in Milan, and its feature exists
In：APP gives the user sample Milan and most preferably conserves after solution, possesses user and launches the feedback after embodiment to Milan
Function, and the feedback through information and check and correction, contribute to the abundant and renewal of the large data center data base in high in the clouds, are allowed to dividing
Possess the self-teaching function of machine while analysis data, allow the result of cloud computing to be more defined with increasing for user's sample size
Really.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710147792.9A CN106682996A (en) | 2017-03-14 | 2017-03-14 | APP for household cultivation of aglaia odorata based on big data and image identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710147792.9A CN106682996A (en) | 2017-03-14 | 2017-03-14 | APP for household cultivation of aglaia odorata based on big data and image identification |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106682996A true CN106682996A (en) | 2017-05-17 |
Family
ID=58828709
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710147792.9A Pending CN106682996A (en) | 2017-03-14 | 2017-03-14 | APP for household cultivation of aglaia odorata based on big data and image identification |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106682996A (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 |
| US20150339323A1 (en) * | 2014-05-22 | 2015-11-26 | The United States of America, as represented by the Administrator of the U.S. Environmental Protec | Cyanobacteria assessment network |
| 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 CN201710147792.9A patent/CN106682996A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150339323A1 (en) * | 2014-05-22 | 2015-11-26 | The United States of America, as represented by the Administrator of the U.S. Environmental Protec | Cyanobacteria assessment network |
| 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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| PB01 | Publication | ||
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Application publication date: 20170517 |