CN202421078U - Crop leaf scab nondestructive acquisition and measurement device - Google Patents
Crop leaf scab nondestructive acquisition and measurement device Download PDFInfo
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- CN202421078U CN202421078U CN2011205173437U CN201120517343U CN202421078U CN 202421078 U CN202421078 U CN 202421078U CN 2011205173437 U CN2011205173437 U CN 2011205173437U CN 201120517343 U CN201120517343 U CN 201120517343U CN 202421078 U CN202421078 U CN 202421078U
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Abstract
The utility model discloses a crop leaf scab nondestructive acquisition and measurement device, belonging to image acquisition and processing equipment. The device is composed of a microprocessor chip, a CMOS (complementary metal oxide semiconductor) camera, a dynamic memory, a mass memory and an LCD (liquid crystal display) touch screen, wherein an image acquisition module, a scab marking module, a scab dividing module, a characteristic calculation module and a characteristic value storage module are arranged in the mass memory. The device finishes multiple detection tasks on the crop scab at the same time by use of a non-contact acquisition technology, and has the characteristics of complete functions, quick and accurate identification and analysis of the scab, low power consumption, low time consumption and strong generality.
Description
Technical field
The utility model belongs to the image acquisition and processing technology, relates generally to harmless collection of a kind of crops scab and measurement mechanism.
Background technology
The shape of crops scab and characteristic thereof have directly reflected the kind of the suffered disease of crop and the extent of injury of disease, so be the key that the diagnosis crop catches an illness to effective identification of scab and feature calculation.The corps diseases image recognition is the committed step that is entered graphical analysis by Flame Image Process, is that the crop disease spot region can accurately be surveyed the important early stage and the guarantee of analysing simultaneously.
Since the initial stage nineties; Some researchers of China also are applied to computer image processing technology in the research of agricultural engineering step by step; And the work of the overwhelming majority mainly concentrates in the Quality Detection of agricultural product, for example: the position discrimination system of some agricultural product such as cucumber, tomato.In recent years; Part scientific research institutions begin to explore the application at agriculture field of computer vision and image processing techniques; Some has obtained significant effect; For example: to the research of the picture shape signature analysis of pebrine disease, the research of plant pollen image identification system, the feature extraction of nutritional deficiency blade color image color etc., but less to the research of crops scab.
Actual conditions from present agricultural production; The subject matter that the monitoring of plant disease, management, control, early warning exist is: at first; Because the characteristics of the initial symptom of plant disease performance are ambiguous, and the most of knowledge that lacks comprehensive plant disease diagnosis and management of the personnel that are engaged in agricultural production; Secondly; As the plant protection expert who has plant disease diagnosis, prediction and preventive treatment knowledge; Whether do not have energy under yet to rural area and farm go for numerous agricultural producers diagnose crops attacked by disease, the various corresponding countermeasures of different diseases are provided if both not had the time; Receive the influence of social economy's overall situation and the restriction of material conditions in addition, the professional who is engaged in plant protection seldom, agricultural experts are few especially.Therefore the knowledge of numerous agricultural producers' active demand is not being met, and therefore, identification of plant leaf blade scab and feature calculation are important subject in the digitalization precision agriculture field.
Summary of the invention
The purpose of the utility model is exactly the problem that exists to above-mentioned prior art; In conjunction with the actual needs of agricultural production, study harmless the collection and measurement mechanism of a kind of crops leaf portion's scab, realize that crops leaf portion scab image extracts and feature calculation; The result that hits the target shows and memory function; Obtain information such as scab shape, color, texture through analysis, and then realize intelligentized automatic Synthesis evaluation, greatly changed traditional detection and measuring means these information.
The basic design of the utility model is; This device is made up of microprocessor chip, CMOS camera, dynamic storage, massage storage and LCD touch-screen, image capture module, scab mark module, scab is set in described massage storage cuts apart module, feature calculation module and eigenwert memory module; The each several part interface signal syndeton of device is: the ICC EBI of microprocessor chip links to each other with the CMOS camera through the SCCB interface, the pin ICCSDA of microprocessor chip, ICCSCL, CAMRESET, CAMCLKOUT, CAMHREF, CAMDATA [7:0] respectively with SIO-D, SIO-C, RESET, XCLKI, HREF, the Y of CMOS camera
9Y
2Join; Dynamic storage has 2; Wherein the data pin D0-D15 of a slice links to each other with low 16 position datawires of microprocessor chip; The data pin D0-D15 of another sheet links to each other with high 16 position datawires of microprocessor chip; Address wire pin A0-A12 and chip selection signal pin CS interconnect, and are connected with the pin nSCSO of microprocessor chip, and nWE, nRAS, nCAS also link to each other with corresponding pin LnWE, nSRAS, the nSCAS of microprocessor chip respectively; The ALE of massage storage and CLE end connect the ALE and the CLE end of microprocessor chip respectively, and 8 I/O 7-0 links to each other/WE with microprocessor chip least-significant byte data bus; / RE ,/CE respectively with the nFWE of microprocessor chip, nFRE; NFCE links to each other, and R/B links to each other with R/nB; The LCD touch-screen is by the LCD interface control of microprocessor chip; The C port of microprocessor chip is set to LCD control, and LCD data line VD [O]-VD [7] is by the C port controlling, and VD [8]-VD [23] is by the D port controlling; The LCD control register is set to the 16BPPTFT pattern; LCDCON5 is set to 5:6:5 or 5:5:5:1 form, and it is the 5:6:5 form that rgb format is set, and this signal is through the transmission of CMOS camera.
The maximum characteristics of the utility model are contactless; Accomplish multiple detection task simultaneously; Through on core processor, implementing automatization level and the level of intelligence that multiple automatic identification technology and INTELLIGENT IDENTIFICATION technology improve detection and identification mission; Thereby reach identification rapidly and accurately, survey and to analyse scab, for next step scientific research provide reliable determination and analysis with better be agricultural production service, its advantage be low in energy consumption, consuming time less, highly versatile.
Description of drawings
Accompanying drawing is harmless collection of crops leaf portion scab and measurement mechanism structural representation.
Piece number explanation among the figure:
1, microprocessor chip, 2, CMOS camera, 3, dynamic storage, 4, massage storage, 5, LCD touch-screen.
Embodiment
Below in conjunction with accompanying drawing the utility model embodiment is described in detail.Crops leaf portion scab is harmless to be gathered and measurement mechanism; This device is made up of microprocessor chip 1, CMOS camera 2, dynamic storage 3, massage storage 4 and LCD touch-screen 5, image capture module, scab mark module, scab is set in described massage storage 4 cuts apart module, feature calculation module and eigenwert memory module; The each several part interface signal syndeton of device is: the ICC EBI of microprocessor chip 1 links to each other with CMOS camera 2 through the SCCB interface, the pin ICCSDA of microprocessor chip 1, ICCSCL, CAMRESET, CAMCLKOUT, CAMHREF, CAMDATA [7:0] respectively with SIO-D, SIO-C, RESET, XCLKI, HREF, the Y of CMOS camera 2
9Y
2Join; Dynamic storage 3 has 2; Wherein the data pin D0-D15 of a slice links to each other with low 16 position datawires of microprocessor chip 1; The data pin D0-D15 of another sheet links to each other with high 16 position datawires of microprocessor chip 1; Address wire pin A0-A12 and chip selection signal pin CS interconnect, and are connected with the pin nSCSO of microprocessor chip 1, and nWE, nRAS, nCAS also link to each other with corresponding pin LnWE, nSRAS, the nSCAS of microprocessor chip 1 respectively; The ALE of massage storage 4 and CLE end connect the ALE and the CLE end of microprocessor chip 1 respectively, and 8 I/O 7-0 links to each other/WE with microprocessor chip 1 least-significant byte data bus; / RE ,/CE respectively with the nFWE of microprocessor chip 1, nFRE; NFCE links to each other, and R/B links to each other with R/nB; LCD touch-screen 5 is by the LCD interface control of microprocessor chip 1; The C port of microprocessor chip 1 is set to LCD control, and LCD data line VD [0]-VD [7] is by the C port controlling, and VD [8]-VD [23] is by the D port controlling; The LCD control register is set to the 16BPPTFT pattern; LCDCON5 is set to 5:6:5 or 5:5:5:1 form, and it is the 5:6:5 form that rgb format is set, and this signal is through 2 transmission of CMOS camera.
The microprocessor chip 1 of this equipment is the control center of total system, the startup and the operation of its each functional module of monitoring.Under the control of microprocessor chip 1; At first gather crops scab image through CMOS camera 2; Be kept in the massage storage 4, be transferred to then and go in the dynamic storage 3 or handle in real time, adopt and cut apart module based on the scab of color characteristic method; Utilizing fuzzy neural network to accomplish the scab zone separates with the background area; Through the scab mark module is that mark is carried out in a plurality of scabs zone in the blade, uses the feature calculation module of image processing techniques and intelligent information technological development to calculate how much of each scab, color and textural characteristics value then, utilizes LCD touch-screen 5 display result; And store in the massage storage 4, realize scab image and the transmission of its eigenwert between computing machine through USB interface at last.
Claims (1)
1. harmless the collection and measurement mechanism of crops leaf portion scab is characterized in that this device is made up of microprocessor chip (1), CMOS camera (2), dynamic storage (3), massage storage (4) and LCD touch-screen (5); The each several part interface signal syndeton of device is: the ICC EBI of microprocessor chip (1) links to each other with CMOS camera (2) through the SCCB interface, and the pin ICCSDA of microprocessor chip (1), ICCSCL, CAMRESET, CAMCLKOUT, CAMHREF, CAMDATA [7:0] join with SIO-D, SIO-C, RESET, XCLKI, HREF, the Y9Y2 of CMOS camera (2) respectively; Dynamic storage (3) has 2; Wherein the data pin D0-D15 of a slice links to each other with low 16 position datawires of microprocessor chip (1); The data pin D0-D15 of another sheet links to each other with high 16 position datawires of microprocessor chip (1); Address wire pin A0-A12 and chip selection signal pin CS interconnect, and are connected with the pin nSCSO of microprocessor chip (1), and nWE, nRAS, nCAS also link to each other with corresponding pin LnWE, nSRAS, the nSCAS of microprocessor chip (1) respectively; The ALE of massage storage (4) and CLE end connect the ALE and the CLE end of microprocessor chip (1) respectively, and 8 I/O 7-0 links to each other/WE with microprocessor chip (1) least-significant byte data bus; / RE ,/CE respectively with the nFWE of microprocessor chip (1), nFRE; NFCE links to each other, and R/B links to each other with R/nB; LCD touch-screen (5) is by the LCD interface control of microprocessor chip (1); The C port of microprocessor chip (1) is set to LCD control, and LCD data line VD [0]-VD [7] is by the C port controlling, and VD [8]-VD [23] is by the D port controlling; The LCD control register is set to the 16BPPTFT pattern; LCDCON5 is set to 5:6:5 or 5:5:5:1 form, and it is the 5:6:5 form that rgb format is set, and this signal is through CMOS camera (2) transmission.
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CN2011205173437U CN202421078U (en) | 2011-12-01 | 2011-12-01 | Crop leaf scab nondestructive acquisition and measurement device |
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CN2011205173437U CN202421078U (en) | 2011-12-01 | 2011-12-01 | Crop leaf scab nondestructive acquisition and measurement device |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102945376A (en) * | 2012-09-28 | 2013-02-27 | 北京农业信息技术研究中心 | Method for diagnosing crops diseases |
CN103559511A (en) * | 2013-11-20 | 2014-02-05 | 天津农学院 | Automatic identification method of foliar disease image of greenhouse vegetable |
CN104198494A (en) * | 2014-08-18 | 2014-12-10 | 苏州克兰兹电子科技有限公司 | On-line detection system for surface defects of plate strips |
-
2011
- 2011-12-01 CN CN2011205173437U patent/CN202421078U/en not_active Expired - Fee Related
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102945376A (en) * | 2012-09-28 | 2013-02-27 | 北京农业信息技术研究中心 | Method for diagnosing crops diseases |
CN102945376B (en) * | 2012-09-28 | 2016-03-30 | 北京农业信息技术研究中心 | A kind of diagnostic method of corps diseases |
CN103559511A (en) * | 2013-11-20 | 2014-02-05 | 天津农学院 | Automatic identification method of foliar disease image of greenhouse vegetable |
CN104198494A (en) * | 2014-08-18 | 2014-12-10 | 苏州克兰兹电子科技有限公司 | On-line detection system for surface defects of plate strips |
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Granted publication date: 20120905 Termination date: 20141201 |
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