CN207908379U - Potato disease detection device based on machine vision and spectrum - Google Patents
Potato disease detection device based on machine vision and spectrum Download PDFInfo
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- CN207908379U CN207908379U CN201721403202.6U CN201721403202U CN207908379U CN 207908379 U CN207908379 U CN 207908379U CN 201721403202 U CN201721403202 U CN 201721403202U CN 207908379 U CN207908379 U CN 207908379U
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Abstract
The utility model is related to agricultural plant protection information technology fields, more particularly to the potato disease detection device based on machine vision and spectrum, including：Processor, display screen, two-dimensional code generation module, high in the clouds uploading module, the image acquiring device with white background grid background board, fiber spectrometer.The utility model is simple for structure at low cost, it can be in the case where considering cost, ensure the accurate and reliable degree of diagnosis as far as possible, it can be by the spectral information of chlorophyll, moisture etc., profile information, the relevant informations such as physical size of blade carry out unified independent preservation management, and different from the past has figure no data, or have the case where data are without figure, it is more conducive to the diagnosis to potato disease and the generation management of health account.
Description
Technical field
The present invention relates to the potato disease detection devices based on machine vision and spectrum.
Background technology
There is larger gaps with developed country for the current level in China in terms of the scientific prevention and cure of pest and disease damage, especially
In agricultural automation degree.In recent years, pest and disease damage takes place frequently on a large scale, improves the cost of agricultural production, and increases chemistry
Pesticide application amount, and cause a hidden trouble to natural environment and national health, therefore, disease recognition is critically important in agricultural with improvement
Link, potato disease are mostly propagated soon, harm weight, and Defect inspection is to be judged by artificial experience, or sample mostly at present
Judge in the lab.Potato disease accurately identifies, and is scientic planting, the key of scientific management, however, according to artificial warp
It tests judgement and is easy erroneous judgement, and usually need just be differentiated until illness is apparent, when often missing optimal treatment in this way
Phase is unfavorable for being controlled, and samples and judge in laboratory, and is a kind of destruction sex determination, and being unfavorable for field is widely applied,
It is only applicable to a small amount of selective examination.
Invention content
In view of the deficiencies in the prior art, the utility model provides a kind of at low cost, diagnosis accuracy simple for structure
Potato disease screening and condition assessment device high, record is convenient, diagnostic message is complete.
The present invention to achieve the goals above, adopts the technical scheme that the potato disease based on machine vision and spectrum
Evil detection device, the potato disease detection device based on machine vision and spectrum, including the life of processor, display screen, Quick Response Code
At module, high in the clouds uploading module, the image acquiring device with white background grid background board, fiber spectrometer, the processor connects
The filming apparatus, the data of the fiber spectrometer are received and handled, and result is transmitted separately to the display screen, described two
Code generation module, the high in the clouds uploading module are tieed up, is shown, is packaged and uploads；The image with white background grid background board
Acquisition device is used to obtain the picture by isolated background interference, which can be with auxiliary blade other than being isolated and interfering
With the survey calculation of scab size.
The image acquiring device with white background grid background board, fiber spectrometer, as common information input system
System, avoid it is previous have figure no data, or have data without figure phenomenon.
The potato disease detection device based on machine vision and spectrum, it is characterised in that：The Quick Response Code
The integrated information of potato leaf can be packaged by generation module, and be exported with quick response code form, and every leaf is made to have
The information of independent completion records, and is convenient for staff, carries out collating the minutes for data.
The high in the clouds uploading module can by potato leaf information storage in the cloud system of capacity bigger, and
By the powerful processing system that cloud system is connected, can be realized high-precision under the premise of reducing present apparatus cost
Prediction effect.
Description of the drawings
Fig. 1 is schematic structural view of the invention.
As shown in the figure：1- processors；2- display screens；3- two-dimensional code generation modules；The high in the clouds 4- uploading module；5- band white background nets
The image acquiring device of lattice background board；6- fiber spectrometers；
Specific implementation mode
Below in conjunction with attached drawing, the present invention is described in detail.
Such as Fig. 1, the potato disease detection device based on machine vision and spectrum, including processor 1, display screen 2, two dimension
Code generation module 3, high in the clouds uploading system 4, image acquiring device 5, fiber spectrometer with white background grid background board.
Administrative staff hold disease monitoring device in field, and white background grid background board opening is placed in below blade, then is beaten
It opens filming apparatus 5 to shoot blade, the profile information of shooting is handled in real time by processor 1, whether suffers from potato
Disease, the severity for changing what disease and disease carry out classification judgement；Fiber spectrometer 6 is opened again, and leaf is avoided to every blade
Arteries and veins part takes 5-7 point respectively, obtained about leaf chlorophyll information, the spectral information of moisture, carried out by processor 1
Processing in real time, and with the handling result of profile information that filming apparatus 5 is obtained again, show on the display screen 2 together, and by two
Dimension code generation module 3 is packaged all information obtained, and generates the exclusive Quick Response Code of each blade, is acquired for data
Personnel's barcode scanning interpretation of records, meanwhile, all information after packing upload data by high in the clouds uploading module 4 so that institute
Obtaining data can be handled by processor 1 in time, and be not take up the memory of processor 1, and can fully call cloud system strong
General goal system, processor 1 can not timely processing or when can not handle data, can timely processing, improve disease screening
Accuracy.
Claims (4)
1. the potato disease detection device based on machine vision and spectrum, including the life of processor (1), display screen (2), Quick Response Code
At module (3), high in the clouds uploading module (4), the image acquiring device (5) with white background grid background board, fiber spectrometer (6),
It is characterized in that：The processor (1) receives and processes the image acquiring device (5) with white background grid background board, described
The spectroscopic data of chlorophyll, moisture that fiber spectrometer (6) measures, and result is transmitted separately to the display screen (2), described
Two-dimensional code generation module (3), the high in the clouds uploading module (4), are shown, are packaged and upload；The band white background grid background
The image acquiring device (5) of plate is gone back for obtaining the picture by isolated background interference, the background board other than being isolated and interfering
It can be with the survey calculation of auxiliary blade and scab size.
2. the potato disease detection device according to claim 1 based on machine vision and spectrum, it is characterised in that：Institute
The image acquiring device (5) with white background grid background board stated, fiber spectrometer (6) are kept away as common information input system
Exempted from it is previous have figure no data, or have data without figure phenomenon.
3. the potato disease detection device according to claim 1 based on machine vision and spectrum, it is characterised in that：Institute
The two-dimensional code generation module (3) stated can be by the dimension information of the image information of potato leaf, spectral information, blade and scab
With the diagnostic message obtained after processor is handled, these integrated informations are packaged, and are exported with quick response code form, are made every
Piece leaf has the information of independent completion to record, and is convenient for staff, carries out collating the minutes for data.
4. the potato disease detection device according to claim 1 based on machine vision and spectrum, it is characterised in that：Institute
The high in the clouds uploading module (4) stated can be by potato leaf information storage in the cloud system of capacity bigger, and due to cloud
The powerful processing system that end system is connected can realize high-precision prediction effect under the premise of reducing present apparatus cost
Fruit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721403202.6U CN207908379U (en) | 2017-10-27 | 2017-10-27 | Potato disease detection device based on machine vision and spectrum |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721403202.6U CN207908379U (en) | 2017-10-27 | 2017-10-27 | Potato disease detection device based on machine vision and spectrum |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN207908379U true CN207908379U (en) | 2018-09-25 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201721403202.6U Expired - Fee Related CN207908379U (en) | 2017-10-27 | 2017-10-27 | Potato disease detection device based on machine vision and spectrum |
Country Status (1)
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109724973A (en) * | 2017-10-27 | 2019-05-07 | 西北农林科技大学 | Potato disease detection device based on machine vision and spectrum |
| CN111122454A (en) * | 2018-11-01 | 2020-05-08 | 西北农林科技大学 | Apple brittleness nondestructive detector based on optical fiber spectrum and machine vision |
-
2017
- 2017-10-27 CN CN201721403202.6U patent/CN207908379U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109724973A (en) * | 2017-10-27 | 2019-05-07 | 西北农林科技大学 | Potato disease detection device based on machine vision and spectrum |
| CN111122454A (en) * | 2018-11-01 | 2020-05-08 | 西北农林科技大学 | Apple brittleness nondestructive detector based on optical fiber spectrum and machine vision |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180925 Termination date: 20181027 |