CN105698693B - A kind of egg gas chamber diameter measuring method based on near-infrared laser image - Google Patents

A kind of egg gas chamber diameter measuring method based on near-infrared laser image Download PDF

Info

Publication number
CN105698693B
CN105698693B CN201610180628.3A CN201610180628A CN105698693B CN 105698693 B CN105698693 B CN 105698693B CN 201610180628 A CN201610180628 A CN 201610180628A CN 105698693 B CN105698693 B CN 105698693B
Authority
CN
China
Prior art keywords
egg
gas chamber
image
point
infrared laser
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201610180628.3A
Other languages
Chinese (zh)
Other versions
CN105698693A (en
Inventor
屠康
孙柯
马龙
潘磊庆
彭菁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ningxia Jiusanling Ecological Agriculture And Animal Husbandry Co ltd
Original Assignee
Nanjing Agricultural University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Agricultural University filed Critical Nanjing Agricultural University
Priority to CN201610180628.3A priority Critical patent/CN105698693B/en
Publication of CN105698693A publication Critical patent/CN105698693A/en
Application granted granted Critical
Publication of CN105698693B publication Critical patent/CN105698693B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/08Measuring arrangements characterised by the use of optical techniques for measuring diameters
    • G01B11/12Measuring arrangements characterised by the use of optical techniques for measuring diameters internal diameters
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3563Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined

Landscapes

  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Biochemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The present invention discloses a kind of egg gas chamber diameter measuring method based on near-infrared laser image, belongs to computer vision field of non destructive testing.A kind of egg gas chamber image collecting device being made of infrared laser, ferrous metal pipe, egg tray, near-infrared camera and camera bellows and corresponding gas chamber image-pickup method are this method provide, is additionally provided comprising image median filter, the extraction of 64 rank grey level histograms, automatic Two-peak method Threshold segmentation, the connected region for removing all non-maximum areas, the image processing method for calculating gas chamber bianry image area and the method for calculating egg gas chamber diameter.This method can rapidly and accurately measure the gas chamber diameter of egg, lay a good foundation to detect research based on the egg freshness of gas chamber feature.

Description

A kind of egg gas chamber diameter measuring method based on near-infrared laser image
Technical field:
The invention belongs to computer vision field of non destructive testing, more particularly to a kind of egg based on near-infrared laser image Gas chamber diameter measuring method.
Background technology:
Egg nutrient enriches, is cheap, deep to be welcome by consumers in general.As the growth of storage time, egg are new Freshness, nutritive value and edible safety all can be reduced gradually.Egg gas chamber be egg exclude hen it is external after, its content by The hollow region shunk and formed in egg major part is reduced in temperature.As egg storage time increases the decline with freshness, Original moisture is evaporated by eggshell stomata in egg, and partial content thing is decomposed by the microorganisms as CO2Overflowed, led by stomata with moisture Content is caused further to shrink, gas chamber becomes larger.Gas chamber size is the important parameter in egg freshness Non-Destructive Testing, very much The method of egg freshness Non-Destructive Testing is all using gas chamber size as primary evaluation index.
Air room height is the current common counter of evaluation of egg gas chamber size, but gas chamber is distributed not in egg stub end Uniformity causes larger in the air room height difference observed by different directions, and air room height measures easy camera subject shooting angle The influence of degree, the air room height of measurement are unable to the gas chamber size of actual response egg.From egg stub end during gas chamber, gas chamber It is approximately circular, in contrast, the influence factor suffered by the diameter evaluation egg gas chamber size of gas chamber is smaller, more can be objectively anti- The size of egg gas chamber is answered, so as to more accurately evaluate egg freshness.In the case where gas chamber is illuminated by light source, pen can be used Describe the shape of egg gas chamber, then with its diameter of vernier caliper measurement, but since egg individual difference is larger, eggshell translucency Different, realizing egg gas chamber diameter, detection is more difficult automatically, and correlation method also has no report.
Therefore, establish that to be capable of the method for Non-Destructive Testing egg gas chamber automatically be that current this area researcher needs to solve Technical problem.
The content of the invention:
The object of the present invention is to provide one kind to measure egg gas chamber diameter method, and the gas chamber that this method can measure egg is straight Footpath.
To solve the above problems, the present invention provides a kind of egg gas chamber diameter measurement side based on near-infrared laser image Method, measuring process for first with near-infrared laser picture system according to gas chamber image-pickup method obtain image, then by image at Reason method obtains gas chamber bianry image area, finally obtains egg gas chamber diameter using Model Calculating Method, it is characterised in that:
1) near-infrared laser picture system, includes 50mW 980nm circular light spots near infrared lasers (1), ferrous metal pipe (2), egg tray (4), near-infrared camera (5) and camera bellows (6), wherein, near infrared laser (1) and vertical direction angle are 30 °; Ferrous metal bore 4mm, outside diameter 6mm are connected on the light hole of near infrared laser (1), and parallel near infrared laser (1), make the laser that laser projects can be to pass through ferrous metal pipe (2), ferrous metal pipe (2) end is horizontal cut, notch Surrounding pastes one layer of black flannelette of ring-type with light leakage;Egg tray (4) is located at below ferrous metal pipe horizontal cut at 5cm, and can on Lower each 5mm of movement, to adapt to different size of egg (3);Near-infrared camera (5) sensitive volume arrives 1000nm for 800, and 130 Ten thousand pixel black and white near-infrared cameras, focal length 20cm, at the surface 20cm of egg (3);Camera bellows (6) is impermeable light box Body, covers on outside device, provides dark situation for Image Acquisition, and provide support for each component;
2) gas chamber image-pickup method is:Egg (3) major part is positioned in egg tray (4) upwards, moves up and down egg tray (4), egg (3) stub end center is close to the end of ferrous metal pipe (2), then open near infrared laser (1), near-infrared Laser (1) sends a branch of wavelength and impinges upon egg (3) stub end center through ferrous metal pipe (2) for 980nm infrared lights, then Image is gathered with near-infrared camera (5), you can obtains clearly egg gas chamber image;
3) image processing method is:5 × 5 medium filtering denoisings first are carried out to image, then extract the original ash of 256 rank of image Histogram is spent, and every 4 rank in former histogram is divided into one group, the average value of capture vegetarian refreshments number is the pixel value of the rank, is obtained 64 rank grey level histograms of image, then travel through backward since first point of 64 rank grey level histogram, if after put corresponding pixel When point number is more than current point, preceding point is the starting point at a peak, then is traveled through backward since next point of the point, if rear point pair Pixel number is answered to be more than current point, then current point is the end point at peak, and rear point is the starting point at next peak, is followed in the method Traveled through after circumferential direction, until histogram end, obtain the starting point and end point at all peaks, then traversal finds out the summit correspondence at each peak Exponent number and its pixel value, then all peaks are numbered, and sort by the pixel value of each peak summit to each peak, obtain second and the 3rd The corresponding exponent number a and b of summit at a peak, then travels through gray value in (a+1) × 4 from the original 256 rank grey level histogram of image Region between (b-1) × 4, finds out the gray value of pixel number minimum as segmentation threshold, and with the threshold value to original gas Room carrying out image threshold segmentation, obtains the bianry image of the gas chamber containing noise, and then each connected domain in gas chamber bianry image is carried out Mark, and each connected domain area is calculated, the connected domain area of maximum is found out, then all connected domains less than the area are removed, The bianry image of gas chamber is obtained, and seeks its area S;
4) Model Calculating Method is:Model calculation formula is:Wherein S is egg gas chamber binary map The area of picture, d are egg gas chamber diameter.
Brief description of the drawings:
Fig. 1:Egg gas chamber image collecting device
Fig. 2:The original gas chamber image of egg
Fig. 3:256 rank grey level histograms
Fig. 4:64 rank grey level histograms
Fig. 5:Gas chamber bianry image
Embodiment:
The object of the present invention is to provide one kind to measure egg gas chamber diameter method, and the gas chamber that this method can measure egg is straight Footpath, obtains the parameter for more objectively describing gas chamber size.
In order to make those skilled in the art more fully understand the present invention program, with reference to embodiment to the present invention It is described in further detail.
In a kind of specific embodiment, the gas chamber diameter of egg is measured.Egg (3) major part is positioned over upwards first near red In the egg tray (4) of outer laser image system, egg tray (4) is moved up and down, egg (3) stub end center is close to ferrous metal pipe (2) end, then opens near infrared laser (1), it is 980nm infrared lights that near infrared laser (1), which sends a branch of wavelength, Egg (3) stub end center is impinged upon through ferrous metal pipe (2), then original egg gas is obtained with near-infrared camera collection picture Room image.Then 5 × 5 medium filterings are carried out to egg gas chamber image, and extracts 256 rank original gradation histogram of image.By original Every 4 rank is divided into one group in beginning histogram, and the pixel value that the average value of capture vegetarian refreshments number is the rank, you can obtains 64 ranks of image Grey level histogram, then travels through backward since first point of the histogram, if after put corresponding pixel number and be more than current point When, preceding point is the starting point at a peak, then is traveled through backward since next point of the point, if point corresponding pixel points number is more than afterwards Current point, then current point is the end point at peak, and rear point is the starting point at next peak, is further continued for traveling through, until histogram end, obtains To the starting point and end point at all peaks, then traversal finds out the corresponding exponent number of summit and its pixel value at each peak, then by all peaks Numbering, and sort by the pixel value of each peak summit to each peak, the corresponding exponent number a and b of summit at second and the 3rd peak is obtained, so Gray value region between (a+1) × 4 and (b-1) × 4 is traveled through from the original 256 rank grey level histogram of image afterwards, finds out pixel The gray value of point number minimum is obtained containing noise original gas chamber carrying out image threshold segmentation as segmentation threshold, then with the threshold value The bianry image of gas chamber, is then marked each connected domain in image, calculates each connected domain area, and finds out maximum Connected domain area, then all connected domains less than the area are removed, the bianry image of gas chamber is obtained, and calculate discharge chamber binary map The area S of picture, brings model calculating formula intoIn obtain the gas chamber diameter d of egg.
Embodiment
The extraction of egg gas chamber diameter:Egg to be measured (3) major part is positioned over near-infrared laser picture system upwards first Egg tray (4) on, move up and down egg tray (4), egg (3) stub end center is close to the end of ferrous metal pipe (2), then beat Near infrared laser (1) is driven, near infrared laser (1) sends a branch of wavelength and passes through ferrous metal pipe (2) for 980nm infrared lights Egg (3) stub end center is impinged upon, then original egg gas chamber image is obtained with near-infrared camera collection picture, as shown in Figure 2.
Then 5 × 5 medium filterings are carried out to egg gas chamber image, and extracts 256 rank original gradation histogram of image, such as schemed Shown in 3.Every 4 rank in original histogram is divided into one group, and the pixel value that the average value of capture vegetarian refreshments number is the rank, schemed 64 rank grey level histograms of picture, as shown in Figure 4.
Then traveled through backward since first point of the histogram, if after when putting corresponding pixel number and being more than current point, Preceding point is the starting point at a peak, then is traveled through backward since next point of the point, works as if putting corresponding pixel points number afterwards and being more than Preceding, then current point is the end point at peak, and rear point is the starting point at next peak, is further continued for traveling through, until histogram end, obtains The starting point and end point at all peaks, then traversal finds out the corresponding exponent number of summit and its pixel value at each peak, then all peaks are compiled Number, and sort by the pixel value of each peak summit to each peak, obtain second and the corresponding exponent number of summit at the 3rd peak be 7 and 15, Then gray value region between 32 and 56 is traveled through from the original 256 rank grey level histogram of image, is found out when gray value is 39, Corresponding pixel points number is minimum, that is, it is 39 to draw optimal segmenting threshold.
The egg gas chamber image with noise is obtained to original gas chamber carrying out image threshold segmentation with optimal threshold 51 again, it is then right Each connected domain is marked in image, calculates each connected domain area, and finds out the connected domain area of maximum, then removes and be less than All connected domains of the area, obtain the bianry image of gas chamber, as shown in figure 5, and gas chamber bianry image area is calculated being 27319 pixels.
Finally bring gas chamber bianry image area into model calculating formulaObtaining gas chamber diameter d is 25.7mm, error only has 2.3% compared with vernier caliper measured value 26.3mm.

Claims (1)

1. a kind of egg gas chamber diameter measuring method based on near-infrared laser image, its measuring process is first to use near-infrared laser Picture system obtains image according to gas chamber image-pickup method, then obtains gas chamber bianry image area by image processing method, Finally egg gas chamber diameter is obtained using Model Calculating Method, it is characterised in that:
1) near-infrared laser picture system, comprising 50mW 980nm circular light spots near infrared lasers (1), ferrous metal pipe (2), Egg tray (4), near-infrared camera (5) and camera bellows (6), wherein, near infrared laser (1) and vertical direction angle are 30 °;Black Metal bore 4mm, outside diameter 6mm are connected on the light hole of near infrared laser (1), and parallel near infrared laser (1), Make the laser that laser projects can be to pass through ferrous metal pipe (2), ferrous metal pipe (2) end is horizontal cut, around notch One layer of black flannelette of ring-type is pasted with light leakage;Egg tray (4) is located at below ferrous metal pipe horizontal cut at 5cm, and can transport up and down Each 5mm is moved, to adapt to different size of egg (3);Near-infrared camera (5) sensitive volume arrives 1000nm, 1,300,000 pictures for 800 Plain black and white near-infrared camera, focal length 20cm, at the surface 20cm of egg (3);Camera bellows (6) is light tight babinet, Cover on outside device, provide dark situation for Image Acquisition, and support is provided for each component;
2) gas chamber image-pickup method is:Egg (3) major part is positioned in egg tray (4) upwards, egg tray (4) is moved up and down, makes The end of ferrous metal pipe (2) is close at egg (3) stub end center, then opens near infrared laser (1), near infrared laser (1) send a branch of wavelength and impinge upon egg (3) stub end center through ferrous metal pipe (2) for 980nm infrared lights, then with closely red Outer camera (5) gathers image, you can obtains clearly egg gas chamber image;
3) image processing method is:5 × 5 medium filtering denoisings first are carried out to image, it is straight then to extract 256 rank original gradation of image Fang Tu, and every 4 rank in former histogram is divided into one group, is divided into 64 groups, takes the average value of every group of pixel number, then with obtaining Each group mean pixel point numerical value drawing image 64 rank grey level histograms, then from 64 rank grey level histogram first point open Beginning travels through backward, if after when putting corresponding pixel number and being more than current point, preceding point is the starting point at a peak, then under the point One point starts to travel through backward, if point corresponding pixel points number is more than current point afterwards, current point is the end point at peak, and rear point is The starting point at next peak, circulates travel through backward in the method, until histogram end, obtains starting point and the end at all peaks Point, then traversal finds out the corresponding exponent number of summit and its pixel value at each peak, then all peaks are numbered, and by the picture of each peak summit Element value sorts each peak, the corresponding exponent number a and b of summit at second and the 3rd peak is obtained, then from the original 256 rank gray scale of image Gray value region between (a+1) × 4 and (b-1) × 4 is traveled through in histogram, finds out the gray value conduct of pixel number minimum Segmentation threshold, and the bianry image of the gas chamber containing noise is obtained, then to gas to original gas chamber carrying out image threshold segmentation with the threshold value Each connected domain is marked in the bianry image of room, and calculates each connected domain area, finds out the connected domain area of maximum, then goes Except all connected domains less than the area, the bianry image of gas chamber is obtained, and seeks its area S;
4) Model Calculating Method is:Model calculation formula is:Wherein S is the face of egg gas chamber bianry image Product, d is egg gas chamber diameter.
CN201610180628.3A 2016-03-24 2016-03-24 A kind of egg gas chamber diameter measuring method based on near-infrared laser image Active CN105698693B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610180628.3A CN105698693B (en) 2016-03-24 2016-03-24 A kind of egg gas chamber diameter measuring method based on near-infrared laser image

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610180628.3A CN105698693B (en) 2016-03-24 2016-03-24 A kind of egg gas chamber diameter measuring method based on near-infrared laser image

Publications (2)

Publication Number Publication Date
CN105698693A CN105698693A (en) 2016-06-22
CN105698693B true CN105698693B (en) 2018-04-17

Family

ID=56232916

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610180628.3A Active CN105698693B (en) 2016-03-24 2016-03-24 A kind of egg gas chamber diameter measuring method based on near-infrared laser image

Country Status (1)

Country Link
CN (1) CN105698693B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111014969B (en) * 2019-12-29 2022-03-25 上海赛摩电气有限公司 Automatic change egg broken wall special plane
CN111037102B (en) * 2019-12-29 2021-10-29 上海赛摩电气有限公司 Automatic egg shelling method and device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101672839A (en) * 2009-09-25 2010-03-17 南京农业大学 Device and method for detecting hatching egg incubation quality based on computer vision
CN102147402A (en) * 2011-03-08 2011-08-10 江苏大学 Machine vision technology based method for rapidly detecting egg freshness
CN102169092A (en) * 2011-01-11 2011-08-31 西安理工大学 Method for testing poultry egg freshness based on photon radiation

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001017020A (en) * 1999-07-09 2001-01-23 Seiichi Kitamura Distinguishing device for class and freshness of egg
JP4674685B2 (en) * 2004-08-02 2011-04-20 有限会社ハイ・サーブ Chicken egg freshness detection method and apparatus by impedance sensing

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101672839A (en) * 2009-09-25 2010-03-17 南京农业大学 Device and method for detecting hatching egg incubation quality based on computer vision
CN102169092A (en) * 2011-01-11 2011-08-31 西安理工大学 Method for testing poultry egg freshness based on photon radiation
CN102147402A (en) * 2011-03-08 2011-08-10 江苏大学 Machine vision technology based method for rapidly detecting egg freshness

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
傅里叶变换近红外反射用于鸡蛋蛋品质的研究;候卓成等;《光谱学与光谱分析》;20090831;第29卷(第8期);第2063-2066页 *

Also Published As

Publication number Publication date
CN105698693A (en) 2016-06-22

Similar Documents

Publication Publication Date Title
CN107506798B (en) Water level monitoring method based on image recognition
CN108759973B (en) Water level measuring method
CN104482860B (en) Fish morphological parameters self-operated measuring unit and method
CN107705288B (en) Infrared video detection method for dangerous gas leakage under strong interference of pseudo-target motion
CN109325935B (en) Power transmission line detection method based on unmanned aerial vehicle image
CN104198497B (en) Surface defect detection method based on visual saliency map and support vector machine
CN103454285A (en) Transmission chain quality detection system based on machine vision
CN103900972B (en) Multi-feature fusion-based meat freshness hyperspectral image visual detection
JP5298969B2 (en) Dust measuring device and generation source estimation method
CN102654464A (en) Copper strip surface defect detection system based on multi-feature fuzzy recognition
CN103993548A (en) Multi-camera stereoscopic shooting based pavement damage crack detection system and method
CN107631782B (en) Water level detection method based on Harris angular point detection
CN103674968A (en) Method and device for evaluating machine vision original-value detection of exterior corrosion appearance characteristics of material
CN109084350A (en) A kind of kitchen ventilator and oil smoke concentration detection method having filtering functions vision-based detection module
CN107860322A (en) A kind of thickness of liquid film measurement apparatus and method
CN105698693B (en) A kind of egg gas chamber diameter measuring method based on near-infrared laser image
CN110503623A (en) Method for identifying bird nest defect on power transmission line based on convolutional neural network
CN112561983A (en) Device and method for measuring and calculating surface weak texture and irregular stacking volume
CN105590316A (en) Object-oriented high-resolution remote-sensing image shadow extraction method
CN112101365A (en) Power equipment key feature extraction method and system based on infrared thermal image processing
CN113392846A (en) Water gauge water level monitoring method and system based on deep learning
CN110136196A (en) A kind of Bridge Crack width method for automatic measurement
CN106846324B (en) Irregular object height measuring method based on Kinect
CN204202563U (en) Fish morphological parameters self-operated measuring unit
CN108180871A (en) A kind of method of quantitative assessment surface of composite insulator dusting roughness

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20230609

Address after: 750000 West of Jinshan Village, Hongguang Town, Helan County, Yinchuan, Ningxia (east foot of Helan)

Patentee after: NINGXIA JIUSANLING ECOLOGICAL AGRICULTURE AND ANIMAL HUSBANDRY CO.,LTD.

Address before: Nanjing City, Jiangsu Province, No. 1 210095 Weigang

Patentee before: NANJING AGRICULTURAL University