CN206270728U - A kind of grape disease identifying system - Google Patents
A kind of grape disease identifying system Download PDFInfo
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- CN206270728U CN206270728U CN201621427131.9U CN201621427131U CN206270728U CN 206270728 U CN206270728 U CN 206270728U CN 201621427131 U CN201621427131 U CN 201621427131U CN 206270728 U CN206270728 U CN 206270728U
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- grape
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- identifying system
- disease
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Abstract
The utility model discloses a kind of grape disease identifying system, it is characterised in that:Including image collection module, image pre-processing module, characteristic extracting module and control module, described image collection module obtains the growth image information of grape and sends to image pre-processing module, described pretreatment module is connected with characteristic extracting module, described characteristic extracting module is connected with control module, and described control module is connected with display module.The in the market grape disease that overcomes of the present utility model recognizes that automaticity is not high, identifying and diagnosing problem not in time, realize to grape temperature, humidity, illumination variation control, and with sound prompt function, while the monitoring in solving daily life to grape, it is easy to the management to grape, the picture for being likely to occur disease is automatically filtered out by system, reduce the task amount of artificial examination, it is convenient for people to the growth according to the result of system monitoring to grape to adjust, for the preventing and treating and reagent of disease provide guidance.
Description
Technical field
The utility model is related to grape disease to monitor field, more particularly to a kind of grape disease identifying system.
Background technology
Grape is one of important fruit crop, and in China, sown area is very big, and distribution is also very wide, due to the shadow of disease
Ring, cause adjacent grape chain of rings disease, quality decline.Traditional crops disease diagnosing detection method uses manual identified, no
Only waste time and energy, easily error, task amount is big, obtain the hysteresis quality of information also have a strong impact on disease screening accuracy and also
It was found that there is no reliable growing environment data to be analyzed grape growth environmental data during disease, grape growth environment number is caused
According to the defect of monitoring blank.
Utility model content
The purpose of this utility model provides a kind of grape disease identifying system, to reach quick discovery disease exception in time,
The grape that disease invasion and attack can be directed to simultaneously analyzes its growing environment.
In order to achieve the above object, technical solutions of the utility model are:A kind of grape disease identifying system, its feature exists
In:Including image collection module, image pre-processing module, characteristic extracting module and control module, described image collection module
Obtain the growth image information of grape and send to image pre-processing module, described pretreatment module connects with characteristic extracting module
Connect, described characteristic extracting module is connected with control module, described control module is connected with display module.
Described control module is connected with user input module.
Described control module is connected by D/A converter module with the data acquisition module of monitoring grape growth environmental data
Connect.
Described data acquisition module is including being used to gather the temperature collect module of grape growth ambient temperature data, being used for
Gather the humidity collection module and the light acquisition module for gathering intensity of illumination of grape usage tree root humidity data.
Described control module connection voice module.
Described control module is dsp controller, its model:TMS320F2812.
Described control module is connected with cloud server.
Described cloud server is communicated by network with intelligent terminal.
Advantage of the present utility model is not high to overcome in the market grape disease identification automaticity, and identifying and diagnosing is too late
When problem, realize to grape temperature, humidity, illumination variation control, and with sound prompt function, while solving people
Daily life in monitoring to grape, be easy to the management to grape, automatically filtered out by system and be likely to occur disease
Picture, reduce the task amount of artificial examination, be convenient for people to the growth according to the result of system monitoring to grape and adjust, be
The preventing and treating and reagent of disease provide guidance.
Brief description of the drawings
The utility model is described in further detail with reference to the accompanying drawings and detailed description.
Fig. 1 is result schematic diagram of the present utility model
Fig. 2 is temperature collect module circuit
Fig. 3 is IMAQ flow chart of the present utility model.
Reference in figure is respectively:
1. image collection module;2. image pre-processing module;3. characteristic extracting module;4. control module;5. display module;
6. user input module;7. D/A converter module;8. data acquisition module;9. voice module;10. cloud server;11. intelligence
Terminal
Specific embodiment
As shown in figure 1, image collection module 1 obtains the view data of grape and sends to 2 pairs of figures of image pre-processing module
As being pre-processed, the connection features extraction module 3 of image pre-processing module 2, characteristic extracting module is connected with control module 4, control
Molding block 4 controls display module display data information.Image collection module 1, its picture letter for being used to obtain grape growth
The image information of breath, packet blade containing vine and grape fruit;The image information of 2 pairs of collections of image pre-processing module is entered
Row and treatment, most of unrelated complex background, scab major part is isolated from disease picture in removal disease picture
Come, be the important early stage treatment of grape disease identification, treating capacity of the subsequent control module to data can be reduced.Feature extraction
Module 3 is used for the color and textural characteristics extracted by the scab image after pretreatment and sends to control module 4, controls mould
Block 4 is analyzed treatment to data, and similar disease texture, identifies Damage Types in acquisition database, provides the kind of disease
Class, and control display module 5 by the data display of Treatment Analysis out.
User input module 6 is connected with control module 4, and data acquisition module 8 is used to gather grape growth local environment number
It is believed that ceasing and being sent to control module, the connection cloud server 10 of control module 4, intelligent terminal 11 by data conversion module 7
Communicated with cloud server by network.User input module 6 is used to be input into control parameter and to compare parameter, for user according to
Input data is needed, grape growth information needed is generated, and treatment is compared with collection signal in in-core contrast module.Analysis
The difference of the theoretical environmental data with the data of collection of normal grape growth and influence.Data acquisition module 7 is used to gather grape
The environmental data of growth, can analyze whether its growing environment influences it to grow, it is also possible in normal condition when there is disease
The growing environment of lower monitoring grape, real time data inspecting is done to grape growth.The data of the collection of data acquisition module 7 turn through data
Resume module is changed, the signal digitlization of collection is sent carries out Treatment Analysis and display into control module.Voice module 9 is used for
Voice alarm is sent, is reminded in time when disease is found or environmental data is abnormal.
Data acquisition module 7 is included for gathering the temperature collect module of grape growth ambient temperature data, for gathering
The humidity collection module of grape usage tree root humidity data and the light acquisition module for gathering intensity of illumination.
Cloud server 10 is used to receive point processing data of control module, and storing data in server beyond the clouds can be with
Downloaded from high in the clouds when control module needs, intelligent terminal 11 or can passed through for the remote monitoring intelligent terminal in Control Room
Network access cloud server, checks the upgrowth situation of grape, reaches the purpose of remote monitoring.
Control module 4 is the dsp controller or computer of model TMS320F2812, for Treatment Analysis data and sending
Control;In the present embodiment, the CS5340 of the model Cirrus Logic companies production of D/A converter module, light collection mould
Block uses the intensity of illumination sensor of model BYT20LLSE;Temperature collect module uses thermistor temperature sensor.Such as
It is the schematic diagram of temperature collect module shown in Fig. 2, Pt is thermistor, the current signal of the change exporting change according to Pt, from
And obtain the change of temperature.
As shown in figure 3, be a kind of identification process figure of embodiment of the utility model, by camera gather image information so as to
The acquisition of image information is realized, the information of image is pre-processed to pretreatment module then, remove the back of the body unrelated with grape
Scape (objects of other colors outside such as go out green and phase advancing coloud nearside), extracts the disease in image by characteristic extracting module afterwards
The color and textural characteristics of spot image, pass through the corresponding line of lookup in model library according to texture by control module with colouring information afterwards
The disease species of reason and color, filter out disease classification, send into display module or cloud server.
The present invention is exemplarily described above in conjunction with accompanying drawing, it is clear that the utility model is implemented not by above-mentioned
The limitation of mode, if the improvement of the various unsubstantialities that technical solutions of the utility model are carried out is employed, or not improved general
Design of the invention and technical scheme directly apply to other occasions, within protection domain of the present utility model.
Claims (8)
1. a kind of grape disease identifying system, it is characterised in that:Carried including image collection module, image pre-processing module, feature
Modulus block and control module, described image collection module obtain the growth image information of grape and send to image preprocessing mould
Block, described pretreatment module is connected with characteristic extracting module, and described characteristic extracting module is connected with control module, described
Control module is connected with display module.
2. a kind of grape disease identifying system as claimed in claim 1, it is characterised in that:Described control module is defeated with user
Enter module connection.
3. a kind of grape disease identifying system as claimed in claim 1, it is characterised in that:Described control module passes through digital-to-analogue
Modular converter is connected with the data acquisition module of monitoring grape growth environmental data.
4. a kind of grape disease identifying system as claimed in claim 3, it is characterised in that:Described data acquisition module includes
For gathering the temperature collect module of grape growth ambient temperature data, adopting for gathering the humidity of grape usage tree root humidity data
Collection module and the light acquisition module for gathering intensity of illumination.
5. a kind of grape disease identifying system as claimed in claim 3, it is characterised in that:Described control module connection voice
Module.
6. a kind of grape disease identifying system as claimed in claim 1, it is characterised in that:Described control module is controlled for DSP
Device processed, its model:TMS320F2812.
7. a kind of grape disease identifying system as claimed in claim 1, it is characterised in that:Described control module takes with high in the clouds
Business device connection.
8. a kind of grape disease identifying system as claimed in claim 7, it is characterised in that:Described cloud server passes through net
Network communicates with intelligent terminal.
Priority Applications (1)
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CN201621427131.9U CN206270728U (en) | 2016-12-23 | 2016-12-23 | A kind of grape disease identifying system |
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CN201621427131.9U CN206270728U (en) | 2016-12-23 | 2016-12-23 | A kind of grape disease identifying system |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109781729A (en) * | 2019-01-17 | 2019-05-21 | 广西慧云信息技术有限公司 | A kind of grape physiological conditions online monitoring system |
CN109813370A (en) * | 2019-01-17 | 2019-05-28 | 广西慧云信息技术有限公司 | A kind of wine-growing environmental information intelligent acquisition system |
CN110133201A (en) * | 2019-06-11 | 2019-08-16 | 湖南省园艺研究所 | A kind of plum blossom heat resistance index monitoring system and method based on multisensor |
-
2016
- 2016-12-23 CN CN201621427131.9U patent/CN206270728U/en not_active Expired - Fee Related
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109781729A (en) * | 2019-01-17 | 2019-05-21 | 广西慧云信息技术有限公司 | A kind of grape physiological conditions online monitoring system |
CN109813370A (en) * | 2019-01-17 | 2019-05-28 | 广西慧云信息技术有限公司 | A kind of wine-growing environmental information intelligent acquisition system |
CN110133201A (en) * | 2019-06-11 | 2019-08-16 | 湖南省园艺研究所 | A kind of plum blossom heat resistance index monitoring system and method based on multisensor |
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CF01 | Termination of patent right due to non-payment of annual fee | ||
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Granted publication date: 20170620 Termination date: 20171223 |