CN106682659A - APP for family cultivation of Rhododendrons based on big data and image identification - Google Patents

APP for family cultivation of Rhododendrons based on big data and image identification Download PDF

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Publication number
CN106682659A
CN106682659A CN201710148177.XA CN201710148177A CN106682659A CN 106682659 A CN106682659 A CN 106682659A CN 201710148177 A CN201710148177 A CN 201710148177A CN 106682659 A CN106682659 A CN 106682659A
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China
Prior art keywords
app
user
azalea
sample
information
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Pending
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CN201710148177.XA
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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 CN201710148177.XA priority Critical patent/CN106682659A/en
Publication of CN106682659A publication Critical patent/CN106682659A/en
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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)
  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Environmental Sciences (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Software Systems (AREA)
  • Water Supply & Treatment (AREA)
  • Catching Or Destruction (AREA)

Abstract

The invention discloses an APP for family cultivation of Rhododendrons based on big data and image identification. The APP is characterized in that after a user logins the APP, stems, leaves and flowers are scanned by a camera, the APP automatically sends image data and location geographic position data of a Rhododendrons sample to a cloud server, and the cloud server judges that the sample is Rhododendrons and judges out the growth conditions and disease and pest damage conditions by means of the image identification technology; then the cloud server retrieves data of geographic position and growth conditions similar to the geographic position and growth conditions of the sample in a big Rhododendrons database for comparison, and accordingly, the cultivation method for the Rhododendrons sample is obtained and pushed to the APP. In this way, the APP enables a user having no Rhododendrons cultivation knowledge to quickly and accurately analyze the growth conditions of the cultivated Rhododendrons through simple scanning operation with the APP, and the user is induced to adopt scientific and reasonable pest and disease control and daily maintenance measures.

Description

A kind of family based on big data and image recognition conserves the APP of azalea
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 azalea.
Background technology
With the raising that city dweller is required domestic environment, the user of family plant azalea is more and more, but by Lack professional knowledge, and main purpose mostly to enjoy the enjoyment that azalea 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 originally feel emerging The time and efforts of the agricultural knowledge of interest is few, but azalea is a kind of relatively enervated flower variety, conserves improper being subject to The injury of pest and disease damage, when the azalea of oneself plantation occurs pest and disease damage, it tends to be difficult to the naked eye tell with the experience of oneself The type of pest and disease damage 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 opinion 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 azalea is suffered to be delayed treatment, the consequence for causing undergrowth even dead, and a kind of based on big Data adopt big data and image recognition technology with the APP of the family maintenance azalea of image recognition, have provided the user cloud meter The help of calculation, can allow being ignorant of the user of azalea maintenance knowledge completely and also most timely to sample azalea can implement science Maintenance measure.
The content of the invention
The invention mainly solves the technical problem of providing a kind of family maintenance cuckoo based on big data and image recognition Colored APP, can allow the user for not possessing azalea maintenance knowledge completely to scan transplanted azalea by mobile phone camera Cauline leaf flower position can just reach the day for precisely recognizing azalea institute illness insect pest type and prophylactico-therapeutic measures and azalea rapidly Often maintenance process, instructs user to carry out the maintenance of azalea.
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 azalea, 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 azalea, by APP using being connected with image identification system with high in the clouds big data, builds smart mobile phone APP nodes, 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 azalea respectively with smart mobile phone camera Leaf site and flower position, APP sends prompt tone after scanning success, and the pictorial information for scanning 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 azalea samples pictures obtained at the user, the artificial intelligence of Jing It is azalea that energy image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample Whether this azalea 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 with the science under similar environment under the azalea planting location and growing state is searched for automatically Method and pest management method；
Step 6：The science that the azalea 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 the APP applications are given to the azalea, in certain day After number, the result whether azalea 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 azalea are provided, and large database concept is labeled, repeat step step 4 To step 8, till stopping feedback when the positive feedback or user that user is obtained in step 8 is in step 7.
Further, same Du that APP transplants using the same place place by the positional information of user and scanning input The stem of cuckoo 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 azalea 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 azalea of insect pest combines plantation area, after comparing, show that the sample azalea is optimal Maintenance solution, and the program is transferred to into user mobile phone.
Further, APP gives the user sample azalea and most preferably conserves after solution, possesses user to cuckoo flower show The feedback function after embodiment, and the feedback through 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 invention has the beneficial effects as follows：The geographical location information and azalea cauline leaf flower that the present invention is sent by user shines Piece information, the azalea 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 azalea growing state, and will by the APP of the present invention As a result user mobile phone is fed back to, is run into during solving the problems, such as user maintenance azalea, reduce user learning cuckoo The work of flower maintenance relevant 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 azalea 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, be the APP that a kind of family based on big data and image recognition conserves azalea, including following step Suddenly：
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 azalea, by APP using being connected with image identification system with high in the clouds big data, builds smart mobile phone APP nodes, 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 azalea respectively with smart mobile phone camera Leaf site and flower position, APP sends prompt tone after scanning success, and the pictorial information for scanning 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 azalea samples pictures obtained at the user, the artificial intelligence of Jing It is azalea that energy image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample Whether this azalea 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 with the science under similar environment under the azalea planting location and growing state is searched for automatically Method and pest management method；
Step 6：The science that the azalea 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 the APP applications are given to the azalea, in certain day After number, the result whether azalea 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 azalea are provided, and large database concept is labeled, repeat step step 4 To 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 azalea, 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 azalea, by APP using being connected with image identification system with high in the clouds big data, builds smart mobile phone APP nodes, 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 azalea respectively with smart mobile phone camera Leaf site and flower position, APP sends prompt tone after scanning success, and the pictorial information for scanning 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 azalea samples pictures obtained at the user, the artificial intelligence of Jing It is azalea that energy image identification system picks out the flowers, and the information identification in stem, leaf, flower samples pictures goes out the sample Whether this azalea 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 with the science under similar environment under the azalea planting location and growing state is searched for automatically Method and pest management method；
Step 6：The science that the azalea 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 the APP applications are given to the azalea, in certain day After number, the result whether azalea 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 azalea are provided, and large database concept is labeled, repeat step step 4 To 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 azalea, its feature It is：APP using by the stem of the same azalea of the same place of the positional information of user and scanning input place plant, leaf, The pictorial information for spending three key positions is transferred to cloud server, and the image identification system of cloud server is by database Mass data is compared with the sample data information, draws the entitled azalea of the plant and its disease and insect information；The big number in high in the clouds According to analysis system by the azalea 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 azalea Case, and the program is transferred to into user mobile phone.
3. a kind of family based on big data and image recognition according to claim 1 conserves the APP of azalea, its feature It is：APP gives the user sample azalea and most preferably conserves after solution, possesses user and azalea is launched after embodiment Feedback function, and the feedback through 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.
CN201710148177.XA 2017-03-14 2017-03-14 APP for family cultivation of Rhododendrons based on big data and image identification Pending CN106682659A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710148177.XA CN106682659A (en) 2017-03-14 2017-03-14 APP for family cultivation of Rhododendrons based on big data and image identification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710148177.XA CN106682659A (en) 2017-03-14 2017-03-14 APP for family cultivation of Rhododendrons based on big data and image identification

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111602545A (en) * 2020-05-27 2020-09-01 福州尚易航农业科技有限公司 Plant protection operation planning method based on artificial intelligence

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
CN111602545A (en) * 2020-05-27 2020-09-01 福州尚易航农业科技有限公司 Plant protection operation planning method based on artificial intelligence

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Application publication date: 20170517