CN101021939A - Computer image processing-based crops disease diagnosing system - Google Patents
Computer image processing-based crops disease diagnosing system Download PDFInfo
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Abstract
This invention relates to a diagnosis system for crop diseases based on computer image process including hardware and software, in which, the hardware part includes a computer, a vidicon, an image collecting card and a lightr source box with a light source for picking up pictures and a load platform, in which, the head of the vidicon is placed in the box, the signal output interface is connected with the input interface of the image collecting card, the output interface of which is connected with the corresponding signal input interface of the host of the computer by lead, the software part includes a diagnosis system and a management euquiry system, and the diagnosis system includes a disease information database, disease treatment, identification, on-line diagnosis by experts, the management enquiry system includes: a user management module, a registration and landing module and an other function module, which can get accurate diagnosis result of diseases without experts.
Description
Technical field
The present invention relates to the disease screening method of a kind of crops, specifically relate to a kind of employing computer image processing technology and discern, the method for diagnosis crop pest.
Background technology
The instant corps diseases of finding, effectively preventing and treating disease is the important measures of guaranteeing stable and high agricultural yields.The vast rural and agricultural technician of China is few at present, and agricultural experts still less.Mainly in the scientific research institution or agriculture university in city, the peasant in time finds than difficult experienced agricultural experts like this, confirms the kind of disease, degree of disease, development trend and the effective measures of formulating eliminating pest.Particularly rely on observation and the identification of personal experience to corps diseases, the disease difference that takes place with reality is often very big, can bungle the chance of winning a battle, and influence is normally carried out control of crop disease work, causes the agriculture underproduction.In addition, in to the identification of corps diseases and diagnosis, discern and diagnosis has significant limitation by text description.
Along with the development of computer image processing technology, the applied research of Computer Image Processing on agricultural also obtained corresponding development, and what mainly carry out at present is floristic discriminating, quality of agricultural product detection and classification etc.Along with developing rapidly of computer hardware technique, image processing techniques, its applied research on agricultural has had bigger progress.This area research is the heat subject in the international agricultural engineering field at present, developed country is beginning appliance computer image processing techniques and computer vision system aspect agricultural production and the agricultural modernization, as the automatic identification of the growth conditions information monitoring of crop, agricultural seed resource management, agricultural insect, plant pathology research, hereditary cell engineering research etc.But occur specially the biological characteristics such as texture, shape and color that leaf portion scab presents when crops are caught an illness as yet and carry out Computer Image Processing, the method for identification and diagnosis corps diseases.
Summary of the invention
Purpose of the present invention provides a kind of by the Computer Image Processing of the blades of catching an illness of crops being discerned and diagnosed the crops disease diagnosing system of diseases and pests of agronomic crop.
Technical essential of the present invention is:
Adopt digital image processing techniques and mode identification method research corps diseases automatic identification technology.The biological characteristics such as texture, shape and color that leaf portion scab is presented when catching an illness in conjunction with crops, the disease kind of corps diseases is made differentiation accurately fast, make the agricultural producer retrieve the loss that disease causes with most economical cost, to satisfy agricultural producer's demand, reduce the pollution of agricultural chemicals to agricultural product and environment.The corps diseases image processing system mainly around cucumber, grape, the common disease of corn as object, to cucumber, grape, leaf portion scab image was handled and discerned when corn was caught an illness.
Crops disease diagnosing system based on Computer Image Processing of the present invention comprises the hardware and software two large divisions.
Hardware components comprises computing machine, video camera, image pick-up card and light-source box.Be equiped with light source and the article carrying platform that the crops blade is set in the light-source box for shooting usefulness.The camera of video camera is positioned at light-source box.The signal output interface of video camera is connected with the signal input interface of image pick-up card by lead, and the signal output interface of image pick-up card is connected with the respective signal input interface of the main frame of computing machine by lead.
Software section comprises crops disease diagnosing therapy system and managing queries system.
One, crops disease diagnosing system comprises:
1, corps diseases information database.
2, Disease Processing.
3, disease identification.
4, expert's inline diagnosis.
(1) the corps diseases major part can cause plant complete stool symptom, but because the difference of its pathogen that causes a disease, formed inequality to the main harm positions of crops, although the corps diseases symptom is various, but most disease and pest symptoms all can show on the leaf of crops, leaf color, shape, texture are changed, scab appears, in crops, fruit tree, vegetables, easily catch an illness, the extent of injury is the most serious simultaneously, and symptom shows the most tangible disease on leaf have powdery mildew, downy mildew, helminthosporium maydis, black peppery disease etc.Known expert is placed the storer of education department's machine of a compliance with system service requirement to corps diseases kind, degree of disease and corresponding methods of treatment and posterior infromation by color, shape, texture variations and scab on the crops blade.Data base management system (DBMS) adopts SQL Server 2000, operating system to adopt Windows2000, Windows XP, VC++ development environment.
Utilize database programming language (sql like language) but foundation data query bank interface.
Utilize database programming language (sql like language) to set up database manipulation interfaces such as information change, deletion.
(2) Disease Processing comprises the demonstration of corps diseases image, figure image intensifying, the image segmentation with input.
(3) disease identification, comprise with the image after the blade Disease Processing by Computer Processing be pre-stored in the database corresponding disease leaf image relatively, identification, determine that disease is all kinds of, degree and prevent and treat method, and by the printer output written historical materials.
(4) expert's inline diagnosis is with blade disease image, and machine by the Internet and corps diseases researcher line, is realized on-the-spot remote online diagnosis, difficult and complicated illness is inquired into and studied research crop pest kind, degree and methods of treatment as calculated.
Two, managing queries system is the mis system of standard, real realization managerial computerize, and adopt modularization idea, systemic-function is divided into each functional module, keep the relatively independent and interblock coupling of module, comprising:
1, user management module;
2, module is landed in registration;
3, other functional module.
User management module comprises rights management and user management.
Registration is landed module and is comprised that member registration is landed, expert's registration is landed with the keeper and landed.
Other functional module comprises current events circular, member subscription statistics, acute epidemic situation circular.
Employing programming language (VC, VB, POWER BUILDER, DELPHI, JAVA, ROSE, RDCASE etc.) is write code for each functional module and the system program of writing out is compiled, and generates executable file.
Crops disease diagnosing system based on Computer Image Processing, these software systems are through multinomial function and performance test, finish corps diseases computer diagnosis relevant image pre-service, image segmentation, feature extraction, feature selecting, disease screening to confirm that it has, user management, the function of the online grade of expert can provide data, information, process, result's integrated crops disease diagnosing means.Native system utilizes image processing techniques, mode identification technology etc. to set up unified crops disease diagnosing mechanism, thereby guarantees can promptly and accurately obtain the diagnostic result of disease under no expert's situation under the prerequisite of using native system.System design user interface close friend, easy to use.
Description of drawings
Fig. 1 is Computerized image processing system figure of the present invention.
Fig. 2 is the tame crop pest diagnostic system flow chart of Computer Image Processing.
Particular hardware embodiment
Based on the crops disease diagnosing system of Computer Image Processing, comprise hardware and software two parts.
Hardware components comprises computing machine 5 and video camera 2, light-source box 6.Light-source box 6, size is 80cm * 80cm * 80cm, in 5 annular lamp tubes are arranged as light source 3.SONY DSC-F717 colored CCD digital camera that imageing sensor adopts Panasonic WV-CP234. colourful CCD video camera that Japanese Mataushita Electric Industrial company produces or Japanese Sony Corporation to produce, its characteristic parameter sees Table 1 and 2.Aver Media PCI standard picture capture card has display module, guarantees that high-quality image shows in real time, and communication interface is arranged.Be provided with in light-source box 6 and carry leaf platform 4, the disease blade is arranged on and carries on the leaf platform 4.The camera of video camera 2 inserts in the light-source box 6, and the signal output interface of video camera 2 is connected by the signal input interface of lead with image pick-up card 1, and the signal output interface of image pick-up card 1 is connected with the main frame respective signal input interface of computing machine by lead.
Because a distinguishing feature of Flame Image Process is big data quantity, macrooperation amount, large buffer memory, requires the processor of system should have higher dominant frequency, bigger data operation cushion space and bigger storage space are also wanted the cost of taking into account system simultaneously.Therefore, computing machine in the native system adopts the P4 compatible, and dominant frequency is 2GHz, in save as 256M, hard disk is 80G.
Table 1 Panasonic WV-CP234 colourful CCD video camera characterisitic parameter
| Part is carried in shooting | 752 (level) * 582 (vertically) pixel, in the ranks conversion CCD |
| Scan area | (4.89 level) * 3.67 (vertically) mm |
| Synchronous effect | Can select inside, power supply is synchronous or multipleization vertical drive (VD2) mode |
| Scanning | 625 row/50/25 frames |
| Level | 15.625kHz |
| Vertically | 50.00Hz |
| Water ten exploring power | 480 row |
| Video is defeated little | 1.0V[p-p] PAL is compound, 75 Ω/BNC connector |
| Signal to noise ratio (S/N ratio) | 50 decibels |
| The center brilliance control | Be equivalent to the continuous variable shutter speed, between 1/50～1/15000 second |
| Minimal illumination | 0.6 rein in F0.75 |
| Sharpness | SHARP or SOFY mode |
| Environment temperature | -10℃～+50℃ |
| Ambient humidity | Less than 90% |
Table 2 SONY DSC-F717 colored CCD digital camera characterisitic parameter
| Pixel count | 5,240,000 dpi |
| Valid pixel | 5,020,000 dpi |
| The optical zoom multiple | 5 times |
| The Digital Zoom multiple | 2 times |
| Sensor devices | CCD |
| Focal range | 9.7～48.5 millimeters nw |
| Aperture Range | F2.0～2.4 |
| Shutter speed | Automatically (30-1/2000)/ShutterPriority Auto pattern (30-1/1000 |
| The ISO light sensitivity | Automatically/100/200/400/800 |
| The data-interface type | SUB2.0 |
| White balance adjusting | Automatically/daylight/cloudy day/fluorescent light/incandescent lamp/one by the locking |
| Environment temperature | 0-40℃ |
| Ambient humidity | 30-90％ |
| Memory card capacity | 128MB |
| Picture format | JPEG，GIF，TIFF，MPEG1 |
Operation instruction:
(1) collection of corps diseases image
The corps diseases overwhelming majority can cause plant complete stool symptom, but because the difference of its pathogen that causes a disease, formed inequality to the main harm positions of crops, although the corps diseases symptom is various, but most disease symptoms more or less all can show on the leaf of crops, color, shape, the texture of leaf are changed, scab appears, this just for adopting computer image processing technology, judges that by the sick leaf of crops the situation of catching an illness of crops provides possibility.Therefore, the present invention's disease of being primarily aimed at the leaf that harms the crops is discerned.The present invention is the widest with the morbidity in the corps diseases, promptly in crop, fruit tree, vegetables, all easily catch an illness, the extent of injury is the most serious simultaneously, symptom shows the most tangible powdery mildew, downy mildew, leaf blight, helminthosporium maydis, anthrachose of grape etc. as diagnosis object on leaf, the kind of crops is selected common corn, cucumber, grape.
The collection of corps diseases view data is divided into off-the-air picture collection and outdoor images collection.The off-the-air picture collection is that the sick leaf that gather in the field is used ccd video camera or digital camera, at the sick leaf image of indoor picked-up; Outdoor images is captured in the field and gathers on the spot, uses digital camera to absorb disease leaf image.
(2) Image Processing for Plant Disease
By to the corps diseases treatment of picture, finish demonstration, strengthen and cut apart, for discerning ready work to image.
(3) disease identification
According to the image of last stage picked-up, in the input computing machine, carry out Flame Image Process, compare with the blade disease image of storing in the database, after the Flame Image Process, extract the disease proper vector, utilize the result of feature selecting that disease is discerned, draw the disease type.
(4) expert is online
Based on Internet, realize the remote diagnosis of corps diseases.
(5) administration module
For the operable authority of super leading subscriber, under this authority, can carry out sequence of operations such as corresponding modification, deletion, interpolation to corresponding knowledge and diagnostic data base, aspect indexing database, database is managed, safeguards.
Claims (1)
1,, comprises the hardware and software two large divisions based on the crops disease diagnosing system of Computer Image Processing;
Hardware components comprises computing machine, video camera, image pick-up card and light-source box; Be equiped with light source and the article carrying platform that the crops blade is set in the light-source box for shooting usefulness; The camera of video camera is positioned at light-source box; The signal output interface of video camera is connected with the signal input interface of image pick-up card by lead, and the signal output interface of image pick-up card is connected with the respective signal input interface of the main frame of computing machine by lead;
It is characterized in that: software section comprises crops disease diagnosing therapy system and managing queries system;
A, crops disease diagnosing system comprise:
A, corps diseases information database;
B, Disease Processing;
C, disease identification;
D, expert's inline diagnosis;
(a) the corps diseases major part can cause plant complete stool symptom, but because the difference of its pathogen that causes a disease, formed inequality to the main harm positions of crops, although the corps diseases symptom is various, but most disease and pest symptoms all can show on the leaf of crops, leaf color, shape, texture are changed, scab appears, in crops, fruit tree, vegetables, easily catch an illness, the extent of injury is the most serious simultaneously, and symptom shows the most tangible disease on leaf have powdery mildew, downy mildew, helminthosporium maydis, black peppery disease etc.; Known expert is placed the storer of education department's machine of a compliance with system service requirement to corps diseases kind, degree of disease and corresponding methods of treatment and posterior infromation by color, shape, texture variations and scab on the crops blade; Data base management system (DBMS) adopts SQL Server 2000, operating system to adopt Windows2000, Windows XP, VC++ development environment;
But utilize the database programming language sql like language to set up the data query bank interface;
Utilize the database programming language sql like language to set up database manipulation interfaces such as information change, deletion;
(b) Disease Processing comprises the demonstration of corps diseases image, figure image intensifying, the image segmentation with input;
(c) disease identification, comprise with the image after the blade Disease Processing by Computer Processing be pre-stored in the database corresponding disease leaf image relatively, identification, determine that disease is all kinds of, degree and prevent and treat method, and by the printer output written historical materials;
(d) expert's inline diagnosis is with blade disease image, and machine by the Internet and corps diseases researcher line, is realized on-the-spot remote online diagnosis, difficult and complicated illness is inquired into and studied research crop pest kind, degree and methods of treatment as calculated;
B, managing queries system are the mis systems of standard, real realization managerial computerize, and adopt modularization idea, systemic-function is divided into each functional module, keep the relatively independent and interblock coupling of module, comprising:
A, user management module;
Module is landed in b, registration;
C, other functional module;
User management module comprises rights management and user management;
Registration is landed module and is comprised that member registration is landed, expert's registration is landed with the keeper and landed;
Other functional module comprises current events circular, member subscription statistics, acute epidemic situation circular;
Adopt programming language VC, VB, POWER BUILDER, DELPHI, JAVA, ROSE, RDCASE etc., for each functional module is write code and the system program of writing out compiled the generation executable file.
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| CN101938512A (en) * | 2010-08-13 | 2011-01-05 | 仲恺农业工程学院 | Crop disease and insect pest image information automatic monitoring system based on Internet of things |
| CN102334422A (en) * | 2010-07-27 | 2012-02-01 | 中国农业科学院蔬菜花卉研究所 | Machine vision based real-time diagnosis method and system of vegetable leaf diseases |
| CN102523953A (en) * | 2011-12-07 | 2012-07-04 | 北京农业信息技术研究中心 | Crop information fusion method and disease monitoring system |
| CN103065061A (en) * | 2013-01-31 | 2013-04-24 | 安徽大学 | Plant disease index acquisition and release device |
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| CN109167991A (en) * | 2018-08-24 | 2019-01-08 | 福建铁工机智能机器人有限公司 | A kind of wisdom poverty alleviation method based on wisdom rural area AI system |
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