CN106682658A - APP (Application) for domestically raising Chinese herbaceous peony flowers based on big data and image identification - Google Patents
APP (Application) for domestically raising Chinese herbaceous peony flowers based on big data and image identification Download PDFInfo
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- CN106682658A CN106682658A CN201710148176.5A CN201710148176A CN106682658A CN 106682658 A CN106682658 A CN 106682658A CN 201710148176 A CN201710148176 A CN 201710148176A CN 106682658 A CN106682658 A CN 106682658A
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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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- Computer Networks & Wireless Communication (AREA)
- Theoretical Computer Science (AREA)
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- Life Sciences & Earth Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
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- Environmental & Geological Engineering (AREA)
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Abstract
The invention discloses an APP (Application) for domestically raising Chinese herbaceous peony 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 herbaceous peony flowers are scanned through a camera, and image data and geographical position data of a Chinese herbaceous peony flower sample are automatically sent to a cloud server through the APP; the cloud server judges whether the sample is the Chinese herbaceous peony 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 herbaceous peony flowers and is compared, so that a raising method of the Chinese herbaceous peony flower sample is obtained and is pushed to the APP. With the adoption of the manner, users who have no Chinese herbaceous peony flower raising knowledge can rapidly and accurately analyze the growth conditions of the planted Chinese herbaceous peony 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 Chinese herbaceous peony.
Background technology
With the raising that city dweller is required domestic environment, the user of family plant Chinese herbaceous peony is more and more, yet with
The crowd of floriculture at home lacks professional knowledge, and main purpose to enjoy the enjoyment that Chinese herbaceous peony brings life mostly, and non-study
Those for city dweller 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 Chinese herbaceous peony is a kind of relatively enervated flower variety, and maintenance is improper to be subject to pest and disease damage
Injury, when oneself plantation Chinese herbaceous peony 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 Chinese herbaceous peony is suffered from is delayed treatment, the consequence for causing undergrowth even dead, and one kind is based on big data and image
The APP of the family maintenance Chinese herbaceous peony of identification has provided the user the help of cloud computing using big data and image recognition technology, can
Allow be ignorant of completely Chinese herbaceous peony maintenance knowledge user also can most timely to sample Chinese herbaceous peony implement science maintenance measure.
The content of the invention
The invention mainly solves the technical problem of providing a kind of family maintenance Chinese herbaceous peony based on big data and image recognition
APP, can allow cauline leaf of the user by mobile phone camera the transplanted Chinese herbaceous peony of scanning for not possessing Chinese herbaceous peony maintenance knowledge completely
Flower position can just reach the routine servicing method for precisely recognizing Chinese herbaceous peony institute illness insect pest type and prophylactico-therapeutic measures and Chinese herbaceous peony rapidly,
User is instructed to carry out the maintenance of Chinese herbaceous peony.
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 Chinese herbaceous peony, 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 Chinese herbaceous peony, 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 cauline leaf of Chinese herbaceous peony respectively with smart mobile phone camera
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 Chinese herbaceous peony samples pictures obtained at the user, Jing artificial intelligence
It is Chinese herbaceous peony that image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample Chinese herbaceous peony
Whether medicine 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 side with the science under similar environment under the Chinese herbaceous peony planting location and growing state is searched for automatically
Method and pest management method；
Step 6：The science that the Chinese herbaceous peony of 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 Chinese herbaceous peony, in certain number of days
Afterwards, the result whether Chinese herbaceous peony 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 Chinese herbaceous peony 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 Chinese herbaceous peony that APP transplants using the same place place by the positional information of user and scanning input
The stem of medicine, 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 database is compared with the sample data information, draws the entitled Chinese herbaceous peony 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
Chinese herbaceous peony treating method combine plantation area the characteristics of, after comparing, draw the optimal maintenance solution of the sample Chinese herbaceous peony
Certainly scheme, and the program is transferred to into user mobile phone.
Further, APP gives the user sample Chinese herbaceous peony and most preferably conserves after solution, possesses user and launches real to Chinese herbaceous peony
Apply the feedback function after scheme, and the feedback through information and check and correction, contribute to high in the clouds large data center database it is abundant
With renewal, be allowed to the self-teaching function of possessing machine while analyze 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 Chinese herbaceous peony cauline leaf flower photo that the present invention is sent by user
Information, the Chinese herbaceous peony 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's Chinese herbaceous peony growing state is drawn, and it is by the APP of the present invention that result is anti-
User mobile phone is fed to, is run into during solving the problems, such as user maintenance Chinese herbaceous peony, reduce the maintenance of user learning Chinese herbaceous peony related
The work of 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 maintenance Chinese herbaceous peony 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, being the APP that a kind of family based on big data and image recognition conserves Chinese herbaceous peony, 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 Chinese herbaceous peony, 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 cauline leaf of Chinese herbaceous peony respectively with smart mobile phone camera
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 Chinese herbaceous peony samples pictures obtained at the user, Jing artificial intelligence
It is Chinese herbaceous peony that image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample Chinese herbaceous peony
Whether medicine 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 side with the science under similar environment under the Chinese herbaceous peony planting location and growing state is searched for automatically
Method and pest management method；
Step 6：The science that the Chinese herbaceous peony of 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 Chinese herbaceous peony, in certain number of days
Afterwards, the result whether Chinese herbaceous peony 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 Chinese herbaceous peony 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 of Chinese herbaceous peony, 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 Chinese herbaceous peony, 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 cauline leaf of Chinese herbaceous peony respectively with smart mobile phone camera
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 Chinese herbaceous peony samples pictures obtained at the user, Jing artificial intelligence
It is Chinese herbaceous peony that image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample Chinese herbaceous peony
Whether medicine 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 side with the science under similar environment under the Chinese herbaceous peony planting location and growing state is searched for automatically
Method and pest management method；
Step 6：The science that the Chinese herbaceous peony of 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 Chinese herbaceous peony, in certain number of days
Afterwards, the result whether Chinese herbaceous peony 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 Chinese herbaceous peony 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 of Chinese herbaceous peony, and its feature exists
In：APP is applied the stem of the same Chinese herbaceous peony 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 database
Data are compared with the sample data information, draw the entitled Chinese herbaceous peony of the plant and its disease and insect information；The big data analysis in high in the clouds
System does the process of the Chinese herbaceous peony 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 of the sample Chinese herbaceous peony, 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 of Chinese herbaceous peony, and its feature exists
In：APP gives the user sample Chinese herbaceous peony and most preferably conserves after solution, possesses user and launches the feedback after embodiment to Chinese herbaceous peony
Function, and the feedback through information and check and correction, contribute to the abundant and renewal of the large data center database 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 |
|---|---|---|---|
| CN201710148176.5A CN106682658A (en) | 2017-03-14 | 2017-03-14 | APP (Application) for domestically raising Chinese herbaceous peony flowers based on big data and image identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710148176.5A CN106682658A (en) | 2017-03-14 | 2017-03-14 | APP (Application) for domestically raising Chinese herbaceous peony flowers based on big data and image identification |
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| Publication Number | Publication Date |
|---|---|
| CN106682658A true CN106682658A (en) | 2017-05-17 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710148176.5A Pending CN106682658A (en) | 2017-03-14 | 2017-03-14 | APP (Application) for domestically raising Chinese herbaceous peony flowers based on big data and image identification |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169107A (en) * | 2017-05-18 | 2017-09-15 | 广州市拓狗信息科技有限公司 | A kind of aquaculture householder method and system analyzed based on big data |
| CN109145785A (en) * | 2018-08-03 | 2019-01-04 | 百度在线网络技术（北京）有限公司 | The determination method and apparatus of plant-nursing mode |
| CN109147933A (en) * | 2017-06-26 | 2019-01-04 | 国际商业机器公司 | It is clinical to recognize plant |
| CN111783667A (en) * | 2020-07-02 | 2020-10-16 | 南阳理工学院 | Traditional Chinese medicine identification system and use method thereof |
| CN116868740A (en) * | 2023-06-30 | 2023-10-13 | 广东环境保护工程职业学院 | Plant maintenance method, device, system and medium |
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| CN101646068A (en) * | 2009-09-07 | 2010-02-10 | 中国农业大学 | Plant diseases and insect pest information acquisition system and method |
| US20100067788A1 (en) * | 2008-09-09 | 2010-03-18 | Sony Corporation | Image position recognition apparatus, image position recognition method, computer program product, and apparatus for setting correction data for an image display apparatus |
| 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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2017
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| US20100067788A1 (en) * | 2008-09-09 | 2010-03-18 | Sony Corporation | Image position recognition apparatus, image position recognition method, computer program product, and apparatus for setting correction data for an image display apparatus |
| CN101646068A (en) * | 2009-09-07 | 2010-02-10 | 中国农业大学 | Plant diseases and insect pest information acquisition system and method |
| CN104318108A (en) * | 2014-10-28 | 2015-01-28 | 刘芳 | Plant cultivation method and device |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169107A (en) * | 2017-05-18 | 2017-09-15 | 广州市拓狗信息科技有限公司 | A kind of aquaculture householder method and system analyzed based on big data |
| CN107169107B (en) * | 2017-05-18 | 2021-02-02 | 广州市拓狗信息科技有限公司 | Aquaculture auxiliary method and system based on big data analysis |
| CN109147933A (en) * | 2017-06-26 | 2019-01-04 | 国际商业机器公司 | It is clinical to recognize plant |
| CN109145785A (en) * | 2018-08-03 | 2019-01-04 | 百度在线网络技术（北京）有限公司 | The determination method and apparatus of plant-nursing mode |
| CN111783667A (en) * | 2020-07-02 | 2020-10-16 | 南阳理工学院 | Traditional Chinese medicine identification system and use method thereof |
| CN116868740A (en) * | 2023-06-30 | 2023-10-13 | 广东环境保护工程职业学院 | Plant maintenance method, device, system and medium |
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Application publication date: 20170517 |