CN107066948A - A kind of family based on big data and image recognition conserves the APP of laurustinus - Google Patents

A kind of family based on big data and image recognition conserves the APP of laurustinus Download PDF

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Publication number
CN107066948A
CN107066948A CN201710148192.4A CN201710148192A CN107066948A CN 107066948 A CN107066948 A CN 107066948A CN 201710148192 A CN201710148192 A CN 201710148192A CN 107066948 A CN107066948 A CN 107066948A
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China
Prior art keywords
laurustinus
app
user
sample
big data
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CN201710148192.4A
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Chinese (zh)
Inventor
石杨
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Hunan Weida Technology Co Ltd
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Hunan Weida Technology Co Ltd
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Priority to CN201710148192.4A priority Critical patent/CN107066948A/en
Publication of CN107066948A publication Critical patent/CN107066948A/en
Pending legal-status Critical Current

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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

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  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Environmental Sciences (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Multimedia (AREA)
  • Water Supply & Treatment (AREA)
  • Catching Or Destruction (AREA)

Abstract

The invention discloses the APP that a kind of family based on big data and image recognition conserves laurustinus, it is characterized in that the cauline leaf for scanning laurustinus with camera after User logs in APP spends position, APP automatically sends the image data and geographic location data of laurustinus sample to cloud server, and cloud server uses image recognition technology to sentence section to go out the sample for laurustinus and its growing state and pest and disease damage situation；The data similar to the close growing state in sample geographical position are transferred in laurustinus large database concept again to be compared, so as to draw the maintenance process for the sample laurustinus and push on APP.Through the above way, the present invention can allow the user for not possessing laurustinus maintenance knowledge completely to sweep the simple operations swept using APP, rapidly and accurately the laurustinus growing state transplanted is analyzed, instruct user to take the measure of the scientific and reasonable prevention and control of plant diseases, pest control and routine servicing.

Description

A kind of family based on big data and image recognition conserves the APP of laurustinus
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 and image recognition Front yard conserves the APP of laurustinus.
Background technology
With the raising that city dweller is required domestic environment, the user of family's plant laurustinus is more and more, but by Lack professional knowledge mostly in the crowd of floriculture at home, and main purpose is in order to enjoy the enjoyment that laurustinus brings life, rather than Those for city dweller and very strange agricultural knowledges are studied, 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 laurustinus is a kind of enervated flower variety relatively, conserves improper is subject to The injury of pest and disease damage, when pest and disease damage occurs for the laurustinus of oneself plantation, it tends to be difficult to the naked eye told with the experience of oneself The type of pest and disease damage is so as to be difficult to find that correct method is suited the remedy to the case, 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 laurustinus is suffered to be delayed treatment, causes the undergrowth even consequence of death, and a kind of based on big The APP of family's maintenance laurustinus of data and image recognition uses big data and image recognition technology, has provided the user cloud meter The help of calculation, can allow the user for being ignorant of laurustinus maintenance knowledge completely also most timely can implement science to sample laurustinus Maintenance measure.
The content of the invention
The present invention solves the technical problem of provide a kind of family based on big data and image recognition to conserve silk ball Colored APP, can allow the user for not possessing laurustinus maintenance knowledge completely to scan transplanted laurustinus by mobile phone camera Cauline leaf flower position with regard to the rapid day for precisely recognizing laurustinus institute illness insect pest type and prophylactico-therapeutic measures and laurustinus can be reached Normal maintenance process, instructs user to carry out the maintenance of laurustinus.
In order to solve the above technical problems, one aspect of the present invention is：There is provided a kind of based on big data and figure As the family of identification conserves the APP of laurustinus, comprise the following steps：
Step one：Smart mobile phone hardware with high-definition camera is carried into a kind of family based on big data and image recognition to support The APP of laurustinus is protected, by APP using being connected with high in the clouds big data with image identification system, smart mobile phone APP nodes are 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 with smart mobile phone camera the stem of laurustinus respectively Leaf site and flower position, APP sends prompt tone after scanning successfully, and the pictorial information scanned is transmitted to high in the clouds image Discriminance analysis system；
Step 4：High in the clouds image recognition analysis system is according to the several laurustinus samples pictures obtained at the user, through artificial intelligence Energy image identification system picks out the flowers for laurustinus, and the information identification in stem, leaf, flower samples pictures goes out the sample Whether this laurustinus 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 for the sample plant that high in the clouds image identification system is provided With ill insect pest information, automatic search and the maintenance of the science under similar environment under the laurustinus planting location and growing state Method and pest management method；
Step 6：The science that the laurustinus for 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 the laurustinus corresponding maintenance measure according to the answer that APP applications are provided, in certain day After number, the result whether laurustinus growing state is 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 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 requires user again It is secondary that the stem, leaf, the scanned picture data of flower of the laurustinus are provided, 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 applied the same embroidery of the same place place plant of the positional information of user and scanning input The stem of globe daisy, leaf, the pictorial information of three key positions is spent 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 laurustinus of the plant and its pest and disease damage letter is drawn Breath；The big data analysis system in high in the clouds will suffer from same disease in the category information combining position information of the sample and large database concept The characteristics for the treatment of method of the laurustinus of insect pest combines plantation area, after being compared, show that the sample laurustinus is optimal Maintenance solution, and the program is transferred to user mobile phone.
Further, APP gives the user sample laurustinus and most preferably conserved after solution, possesses user to silk ball flower show The feedback function after embodiment, and the feedback Jing Guo information and check and correction are opened, contributes to the large data center database in high in the clouds It is abundant to be allowed to the self-teaching function of possessing machine while analyze data with updating, allow cloud computing result with user Increasing for sample size and it is more accurate.
The beneficial effects of the invention are as follows：Geographical location information and laurustinus the cauline leaf flower that the present invention is sent by user shine Piece information, the laurustinus database information planted using image recognition technology on cloud computing server with each department of magnanimity is entered Row is compared, and draws the prevention and control of plant diseases, pest control and maintenance measure for user's laurustinus growing state, and will by the APP of the present invention As a result user mobile phone is fed back to, the problem of being run into during solving user's maintenance laurustinus reduces user's study silk ball The work of flower maintenance relevant knowledge, makes the life of user more fine.
Brief description of the drawings
Fig. 1 is a kind of APP of family's maintenance laurustinus based on big data and image recognition control flow chart of the present invention.
Embodiment
The invention will be further described below in conjunction with the accompanying drawings.
As shown in figure 1, be the APP that a kind of family based on big data and image recognition conserves laurustinus, including following step Suddenly：
Step one：Smart mobile phone hardware with high-definition camera is carried into a kind of family based on big data and image recognition to support The APP of laurustinus is protected, by APP using being connected with high in the clouds big data with image identification system, smart mobile phone APP nodes are 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 with smart mobile phone camera the stem of laurustinus respectively Leaf site and flower position, APP sends prompt tone after scanning successfully, and the pictorial information scanned is transmitted to high in the clouds image Discriminance analysis system；
Step 4：High in the clouds image recognition analysis system is according to the several laurustinus samples pictures obtained at the user, through artificial intelligence Energy image identification system picks out the flowers for laurustinus, and the information identification in stem, leaf, flower samples pictures goes out the sample Whether this laurustinus 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 for the sample plant that high in the clouds image identification system is provided With ill insect pest information, automatic search and the maintenance of the science under similar environment under the laurustinus planting location and growing state Method and pest management method；
Step 6：The science that the laurustinus for 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 the laurustinus corresponding maintenance measure according to the answer that APP applications are provided, in certain day After number, the result whether laurustinus growing state is 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 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 requires user again It is secondary that the stem, leaf, the scanned picture data of flower of the laurustinus are provided, 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 the APP of laurustinus, it is characterised in that comprise the following steps：
Step one：Smart mobile phone hardware with high-definition camera is carried into a kind of family based on big data and image recognition to support The APP of laurustinus is protected, by APP using being connected with high in the clouds big data with image identification system, smart mobile phone APP nodes are 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 with smart mobile phone camera the stem of laurustinus respectively Leaf site and flower position, APP sends prompt tone after scanning successfully, and the pictorial information scanned is transmitted to high in the clouds image Discriminance analysis system；
Step 4：High in the clouds image recognition analysis system is according to the several laurustinus samples pictures obtained at the user, through artificial intelligence Energy image identification system picks out the flowers for laurustinus, and the information identification in stem, leaf, flower samples pictures goes out the sample Whether this laurustinus 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 for the sample plant that high in the clouds image identification system is provided With ill insect pest information, automatic search and the maintenance of the science under similar environment under the laurustinus planting location and growing state Method and pest management method；
Step 6：The science that the laurustinus for 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 the laurustinus corresponding maintenance measure according to the answer that APP applications are provided, in certain day After number, the result whether laurustinus growing state is 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 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 requires user again It is secondary that the stem, leaf, the scanned picture data of flower of the laurustinus are provided, 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 the APP of laurustinus, its feature It is：APP apply by the stem of the same laurustinus 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 laurustinus of the plant and its disease and insect information；The big number in high in the clouds According to analysis system by the laurustinus 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 being compared, draw the maintenance solution party of the sample laurustinus most preferably 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 the APP of laurustinus, its feature It is：APP gives the user sample laurustinus and most preferably conserved after solution, possesses user and laurustinus is deployed after embodiment Feedback function, and the feedback Jing Guo information and check and correction, contribute to high in the clouds large data center database it is abundant with updating, 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.
CN201710148192.4A 2017-03-14 2017-03-14 A kind of family based on big data and image recognition conserves the APP of laurustinus Pending CN107066948A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108012829A (en) * 2017-12-21 2018-05-11 合肥草木皆兵环境科技有限公司 A kind of autonomous curing system in gardens

Citations (2)

* Cited by examiner, † Cited by third party
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

Patent Citations (2)

* Cited by examiner, † Cited by third party
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

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108012829A (en) * 2017-12-21 2018-05-11 合肥草木皆兵环境科技有限公司 A kind of autonomous curing system in gardens

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Application publication date: 20170818