CN106919714A - A kind of family based on big data and image recognition conserves the APP of fish pelargonium - Google Patents

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

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Publication number
CN106919714A
CN106919714A CN201710147801.4A CN201710147801A CN106919714A CN 106919714 A CN106919714 A CN 106919714A CN 201710147801 A CN201710147801 A CN 201710147801A CN 106919714 A CN106919714 A CN 106919714A
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app
user
fish pelargonium
sample
big data
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CN201710147801.4A
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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 CN201710147801.4A priority Critical patent/CN106919714A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/52Network services specially adapted for the location of the user terminal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • H04M1/72406User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by software upgrading or downloading

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • Catching Or Destruction (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

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

Description

A kind of family based on big data and image recognition conserves the APP of fish pelargonium
Technical field
The present invention relates to big data and field of image recognition, more particularly to a kind of family based on big data Yu image recognition Front yard conserves the APP of fish pelargonium.
Background technology
With the raising that city dweller is required domestic environment, the user of family plant fish pelargonium is more and more, but by Lack professional knowledge, and main purpose mostly to enjoy the enjoyment that fish pelargonium brings life in the crowd of floriculture at home, rather than The agricultural knowledge that to study those for city dweller and very strange, and Urban population rhythm of life is fast, study does not feel emerging originally The time and efforts of the agricultural knowledge of interest is few, but fish pelargonium is a kind of relatively enervated flower variety, conserves improper being subject to The injury of pest and disease damage, when the fish pelargonium of oneself plantation occurs pest and disease damage, it tends to be difficult to which with the naked eye the experience with oneself is told The type of pest and disease damage is suited the remedy to the case so as to be difficult to find that correct method, and traditional way is that internet opinion is uploaded to after taking pictures Altar, seeks help other people, but this method slowly effect, and when running into online friend each sticks to his own version or argument, user is difficult to differentiate and takes correct Measure, causes the pest and disease damage that fish pelargonium is suffered to be delayed treatment, the consequence for causing undergrowth even dead, and a kind of based on big Data use big data and image recognition technology with the APP of the family maintenance fish pelargonium of image recognition, have provided the user cloud meter The help of calculation, can allow the user for being ignorant of fish pelargonium maintenance knowledge completely also most timely can implement science to sample fish pelargonium Maintenance measure.
The content of the invention
India is conserved the present invention solves the technical problem of a kind of family based on big data and image recognition is provided The APP of certain herbaceous plants with big flowers, can allow the user for not possessing fish pelargonium maintenance knowledge completely to scan transplanted fish pelargonium by mobile phone camera Cauline leaf flower position can just reach the rapid day for precisely recognizing fish pelargonium institute illness insect pest type and prophylactico-therapeutic measures and fish pelargonium Normal maintenance process, instructs user to carry out the maintenance of fish pelargonium.
In order to solve the above technical problems, one aspect of the present invention is:A kind of big data that is based on is provided with figure As the family of identification conserves the APP of fish pelargonium, comprise the following steps:
Step one:The smart mobile phone hardware that high-definition camera will be carried is carried and a kind of supported with the family of image recognition based on big data The APP of fish pelargonium is protected, by APP using being connected with image identification system with high in the clouds big data, smart mobile phone APP nodes is built, often One APP node on behalf, one APP user;
Step 2:When User logs in APP is applied, APP automatically passes the APP application messages of user geographical position, traveling mode It is sent to the big data analysis system in high in the clouds;
Step 3:User opens APP Built-in Images identification function, and scans the stem of fish pelargonium respectively with smart mobile phone camera Leaf site and flower position, APP sends prompt tone after scanning successfully, and the pictorial information that will be scanned is transmitted to high in the clouds image Discriminance analysis system;
Step 4:High in the clouds image recognition analysis system according at the user obtain several fish pelargonium samples pictures, through artificial intelligence Can image identification system pick out the flowers for fish pelargonium, and information identification in stem, leaf, flower samples pictures goes out the sample Whether this fish pelargonium suffers from the species and degree of pest and disease damage and ill insect pest;
Step 5:The big data analysis system in high in the clouds combines the positional information and current temporal information of the user, excavates this The landform of user position, landforms, climatic information, and combine the species of the sample plant that high in the clouds image identification system is provided With ill insect pest information, the maintenance of the science under automatic search and the fish pelargonium planting location and growing state under similar environment Method and pest management method;
Step 6:The science that the fish pelargonium of the sample that high in the clouds big data analysis system obtains cloud computing should take is correct Maintenance process is transferred to the smart mobile phone APP of the user, and mobile phone A PP is anti-by the screen and loudspeaker of smart mobile phone by final result Feed the user;
Step 7:User takes corresponding maintenance measure according to the answer that APP applications are given to the fish pelargonium, in certain day After number, the result whether fish pelargonium growing state is effectively improved is fed back to APP by user;
Step 8:APP sends to high in the clouds big data analysis system the feedback of user, and such as sample obtains effective Feedback, Then by its typing large database concept, help is provided for the user for after;Such as the sample obtains negative feedback, then require user again It is secondary that stem, leaf, the scanned picture data of flower of the fish pelargonium 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 using the same day that the same place place of the positional information of user and scanning input is transplanted The stem of Zhu Kui, 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 fish pelargonium 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 fish pelargonium of insect pest combines plantation area, after comparing, show that the sample fish pelargonium is optimal Maintenance solution, and the program is transferred to user mobile phone.
Further, APP is given the user after sample fish pelargonium most preferably conserves solution, possesses user to fish pelargonium exhibition The feedback function after embodiment, and the feedback by information and check and correction are opened, contributes to the large data center database in high in the clouds It is abundant with update, be allowed to the self-teaching function of possessing machine while analyze data, allow cloud computing result with user Increasing for sample size and it is more accurate.
The beneficial effects of the invention are as follows:The geographical location information and fish pelargonium cauline leaf flower that the present invention is sent by user shine Piece information, the fish pelargonium 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 fish pelargonium growing state, and will by APP of the invention Result feeds back to user mobile phone, is run into during solving the problems, such as user maintenance fish pelargonium, reduces user learning India Certain herbaceous plants with big flowers conserves the work of relevant knowledge, makes the life of user more fine.
Brief description of the drawings
Fig. 1 is a kind of control flow chart of the APP of the family maintenance fish pelargonium based on big data and image recognition of the present invention.
Specific 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 fish pelargonium, including following step Suddenly:
Step one:The smart mobile phone hardware that high-definition camera will be carried is carried and a kind of supported with the family of image recognition based on big data The APP of fish pelargonium is protected, by APP using being connected with image identification system with high in the clouds big data, smart mobile phone APP nodes is built, often One APP node on behalf, one APP user;
Step 2:When User logs in APP is applied, APP automatically passes the APP application messages of user geographical position, traveling mode It is sent to the big data analysis system in high in the clouds;
Step 3:User opens APP Built-in Images identification function, and scans the stem of fish pelargonium respectively with smart mobile phone camera Leaf site and flower position, APP sends prompt tone after scanning successfully, and the pictorial information that will be scanned is transmitted to high in the clouds image Discriminance analysis system;
Step 4:High in the clouds image recognition analysis system according at the user obtain several fish pelargonium samples pictures, through artificial intelligence Can image identification system pick out the flowers for fish pelargonium, and information identification in stem, leaf, flower samples pictures goes out the sample Whether this fish pelargonium suffers from the species and degree of pest and disease damage and ill insect pest;
Step 5:The big data analysis system in high in the clouds combines the positional information and current temporal information of the user, excavates this The landform of user position, landforms, climatic information, and combine the species of the sample plant that high in the clouds image identification system is provided With ill insect pest information, the maintenance of the science under automatic search and the fish pelargonium planting location and growing state under similar environment Method and pest management method;
Step 6:The science that the fish pelargonium of the sample that high in the clouds big data analysis system obtains cloud computing should take is correct Maintenance process is transferred to the smart mobile phone APP of the user, and mobile phone A PP is anti-by the screen and loudspeaker of smart mobile phone by final result Feed the user;
Step 7:User takes corresponding maintenance measure according to the answer that APP applications are given to the fish pelargonium, in certain day After number, the result whether fish pelargonium growing state is effectively improved is fed back to APP by user;
Step 8:APP sends to high in the clouds big data analysis system the feedback of user, and such as sample obtains effective Feedback, Then by its typing large database concept, help is provided for the user for after;Such as the sample obtains negative feedback, then require user again It is secondary that stem, leaf, the scanned picture data of flower of the fish pelargonium 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 fish pelargonium, it is characterised in that comprise the following steps:
Step one:The smart mobile phone hardware that high-definition camera will be carried is carried and a kind of supported with the family of image recognition based on big data The APP of fish pelargonium is protected, by APP using being connected with image identification system with high in the clouds big data, smart mobile phone APP nodes is built, often One APP node on behalf, one APP user;
Step 2:When User logs in APP is applied, APP automatically passes the APP application messages of user geographical position, traveling mode It is sent to the big data analysis system in high in the clouds;
Step 3:User opens APP Built-in Images identification function, and scans the stem of fish pelargonium respectively with smart mobile phone camera Leaf site and flower position, APP sends prompt tone after scanning successfully, and the pictorial information that will be scanned is transmitted to high in the clouds image Discriminance analysis system;
Step 4:High in the clouds image recognition analysis system according at the user obtain several fish pelargonium samples pictures, through artificial intelligence Can image identification system pick out the flowers for fish pelargonium, and information identification in stem, leaf, flower samples pictures goes out the sample Whether this fish pelargonium suffers from the species and degree of pest and disease damage and ill insect pest;
Step 5:The big data analysis system in high in the clouds combines the positional information and current temporal information of the user, excavates this The landform of user position, landforms, climatic information, and combine the species of the sample plant that high in the clouds image identification system is provided With ill insect pest information, the maintenance of the science under automatic search and the fish pelargonium planting location and growing state under similar environment Method and pest management method;
Step 6:The science that the fish pelargonium of the sample that high in the clouds big data analysis system obtains cloud computing should take is correct Maintenance process is transferred to the smart mobile phone APP of the user, and mobile phone A PP is anti-by the screen and loudspeaker of smart mobile phone by final result Feed the user;
Step 7:User takes corresponding maintenance measure according to the answer that APP applications are given to the fish pelargonium, in certain day After number, the result whether fish pelargonium growing state is effectively improved is fed back to APP by user;
Step 8:APP sends to high in the clouds big data analysis system the feedback of user, and such as sample obtains effective Feedback, Then by its typing large database concept, help is provided for the user for after;Such as the sample obtains negative feedback, then require user again It is secondary that stem, leaf, the scanned picture data of flower of the fish pelargonium 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 fish pelargonium, its feature It is:APP using by the stem of the same fish pelargonium 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 fish pelargonium of the plant and its disease and insect information;The big number in high in the clouds According to analysis system by the fish pelargonium 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 fish pelargonium 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 fish pelargonium, its feature It is:APP is given the user after sample fish pelargonium most preferably conserves solution, is possessed after user launches embodiment to fish pelargonium Feedback function, and feedback by information and check and correction, contribute to high in the clouds large data center database it is abundant with update, make The self-teaching function of possessing machine while analyze data, allow cloud computing result with increasing for user's sample size It is more accurate.
CN201710147801.4A 2017-03-14 2017-03-14 A kind of family based on big data and image recognition conserves the APP of fish pelargonium Pending CN106919714A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113303151A (en) * 2021-05-19 2021-08-27 苏州三润景观工程有限公司 Green plant disease and insect pest repairing method based on big data

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
CN113303151A (en) * 2021-05-19 2021-08-27 苏州三润景观工程有限公司 Green plant disease and insect pest repairing method based on big data

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