CN106921743A - A kind of family based on big data and image recognition conserves the APP of Chinese flowering crabapple - Google Patents

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

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Publication number
CN106921743A
CN106921743A CN201710147927.1A CN201710147927A CN106921743A CN 106921743 A CN106921743 A CN 106921743A CN 201710147927 A CN201710147927 A CN 201710147927A CN 106921743 A CN106921743 A CN 106921743A
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CN
China
Prior art keywords
app
chinese flowering
user
flowering crabapple
sample
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Pending
Application number
CN201710147927.1A
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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 CN201710147927.1A priority Critical patent/CN106921743A/en
Publication of CN106921743A publication Critical patent/CN106921743A/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
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/52—Network services specially adapted for the location of the user terminal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72457—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to geographic location
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
    • Y02A40/25—Greenhouse technology, e.g. cooling systems therefor

Abstract

The invention discloses the APP that a kind of family based on big data and image recognition conserves Chinese flowering crabapple, it is characterized in that the cauline leaf for scanning Chinese flowering crabapple with camera after User logs in APP spends position, to cloud server, it is Chinese flowering crabapple 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 Chinese flowering crabapple sample of APP；The data similar to the close growing state in sample geographical position are transferred in Chinese flowering crabapple large database concept again to compare, so as to draw the maintenance process for the sample Chinese flowering crabapple and push on APP.Through the above way, the present invention can allow the user for not possessing Chinese flowering crabapple maintenance knowledge completely that the simple operations for sweeping are swept using APP, it is analyzed rapidly and accurately to the Chinese flowering crabapple 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 Chinese flowering crabapple
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 Chinese flowering crabapple.
Background technology
With the raising that city dweller is required domestic environment, the user of family's plant Chinese flowering crabapple is more and more, but by Lack professional knowledge, and main purpose mostly to enjoy the enjoyment that Chinese flowering crabapple 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 Chinese flowering crabapple is a kind of relatively enervated flower variety, conserves improper being subject to The injury of pest and disease damage, when the Chinese flowering crabapple 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 Chinese flowering crabapple 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 family's maintenance Chinese flowering crabapple of image recognition, have provided the user cloud meter The help of calculation, can allow the user for being ignorant of Chinese flowering crabapple maintenance knowledge completely also most timely can implement science to sample Chinese flowering crabapple Maintenance measure.
The content of the invention
Malus spectabilis is conserved the present invention solves the technical problem of a kind of family based on big data and image recognition is provided Colored APP, can allow the user for not possessing Chinese flowering crabapple maintenance knowledge completely to scan transplanted Chinese flowering crabapple by mobile phone camera Cauline leaf flower position can just reach the rapid day for precisely recognizing Chinese flowering crabapple institute illness insect pest type and prophylactico-therapeutic measures and Chinese flowering crabapple Normal maintenance process, instructs user to carry out the maintenance of Chinese flowering crabapple.
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 Chinese flowering crabapple, 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 Chinese flowering crabapple 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 Chinese flowering crabapple 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 Chinese flowering crabapple samples pictures, through artificial intelligence Can image identification system pick out the flowers for Chinese flowering crabapple, and information identification in stem, leaf, flower samples pictures goes out the sample Whether this Chinese flowering crabapple 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 Chinese flowering crabapple planting location and growing state under similar environment Method and pest management method；
Step 6：The science that the Chinese flowering crabapple of the sample that high in the clouds big data analysis system obtains cloud computing should be taken is correct Maintenance process is transferred to the smart mobile phone APP of the user, and mobile phone A PP is anti-by the screen and loudspeaker of smart mobile phone by final result Feed the user；
Step 7：User takes corresponding maintenance measure according to the answer that APP applications are given to the Chinese flowering crabapple, in certain day After number, the result whether Chinese flowering crabapple 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 Chinese flowering crabapple 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 sea that the same place place of the positional information of user and scanning input is transplanted The stem of Chinese bush cherry flower, 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 Chinese flowering crabapple 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 Chinese flowering crabapple of insect pest combines plantation area, after comparing, show that the sample Chinese flowering crabapple is optimal Maintenance solution, and the program is transferred to user mobile phone.
Further, APP is given the user after sample Chinese flowering crabapple most preferably conserves solution, possesses user to Malus spectabilis flower show 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 Chinese flowering crabapple cauline leaf flower that the present invention is sent by user shine Piece information, the Chinese flowering crabapple 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 Chinese flowering crabapple 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's maintenance Chinese flowering crabapple, reduces user learning Malus spectabilis 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 control flow chart of the APP of the family's maintenance Chinese flowering crabapple 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 Chinese flowering crabapple, 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 Chinese flowering crabapple 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 Chinese flowering crabapple 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 Chinese flowering crabapple samples pictures, through artificial intelligence Can image identification system pick out the flowers for Chinese flowering crabapple, and information identification in stem, leaf, flower samples pictures goes out the sample Whether this Chinese flowering crabapple 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 Chinese flowering crabapple planting location and growing state under similar environment Method and pest management method；
Step 6：The science that the Chinese flowering crabapple of the sample that high in the clouds big data analysis system obtains cloud computing should be taken is correct Maintenance process is transferred to the smart mobile phone APP of the user, and mobile phone A PP is anti-by the screen and loudspeaker of smart mobile phone by final result Feed the user；
Step 7：User takes corresponding maintenance measure according to the answer that APP applications are given to the Chinese flowering crabapple, in certain day After number, the result whether Chinese flowering crabapple 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 Chinese flowering crabapple 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 Chinese flowering crabapple, 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 Chinese flowering crabapple 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 Chinese flowering crabapple 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 Chinese flowering crabapple samples pictures, through artificial intelligence Can image identification system pick out the flowers for Chinese flowering crabapple, and information identification in stem, leaf, flower samples pictures goes out the sample Whether this Chinese flowering crabapple 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 Chinese flowering crabapple planting location and growing state under similar environment Method and pest management method；
Step 6：The science that the Chinese flowering crabapple of the sample that high in the clouds big data analysis system obtains cloud computing should be taken is correct Maintenance process is transferred to the smart mobile phone APP of the user, and mobile phone A PP is anti-by the screen and loudspeaker of smart mobile phone by final result Feed the user；
Step 7：User takes corresponding maintenance measure according to the answer that APP applications are given to the Chinese flowering crabapple, in certain day After number, the result whether Chinese flowering crabapple 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 Chinese flowering crabapple 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 Chinese flowering crabapple, its feature It is：APP using by the stem of the same Chinese flowering crabapple 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 Chinese flowering crabapple of the plant and its disease and insect information；The big number in high in the clouds According to analysis system by the Chinese flowering crabapple 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 Chinese flowering crabapple 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 Chinese flowering crabapple, its feature It is：APP is given the user after sample Chinese flowering crabapple most preferably conserves solution, is possessed after user launches embodiment to Chinese flowering crabapple 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.
CN201710147927.1A 2017-03-14 2017-03-14 A kind of family based on big data and image recognition conserves the APP of Chinese flowering crabapple Pending CN106921743A (en)

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CN201710147927.1A CN106921743A (en) 2017-03-14 2017-03-14 A kind of family based on big data and image recognition conserves the APP of Chinese flowering crabapple

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070103565A1 (en) * 2005-11-02 2007-05-10 Sony Corporation Information processing apparatus and method, and program
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 (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070103565A1 (en) * 2005-11-02 2007-05-10 Sony Corporation Information processing apparatus and method, and program
CN104318108A (en) * 2014-10-28 2015-01-28 刘芳 Plant cultivation method and device
CN105787446A (en) * 2016-02-24 2016-07-20 上海劲牛信息技术有限公司 Smart agricultural insect disease remote automatic diagnosis system

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Application publication date: 20170704