CN205608801U - Automatic device of grading of milk cow body condition - Google Patents
Automatic device of grading of milk cow body condition Download PDFInfo
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- CN205608801U CN205608801U CN201620293193.9U CN201620293193U CN205608801U CN 205608801 U CN205608801 U CN 205608801U CN 201620293193 U CN201620293193 U CN 201620293193U CN 205608801 U CN205608801 U CN 205608801U
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The utility model provides an automatic device of grading of milk cow body condition, include: reading and writing equipment, scanner and treater, the treater links to each other with reading and writing equipment, still links to each other with the scanner, the passageway department of milking of giving milk is gone to in reading and writing equipment and scanner setting the milk cow, the information that contains among the RFID tag of reading and writing equipment this milk cow health is read to the milk cow when milking the passageway on, RFID tag's information includes the sign information of this milk cow, the RFID tag's that reading and writing equipment will read message routing gives the treater, the 3D image at this milk cow rear portion is gathered to the treater after control command was being received to the control scanning appearance after the information of receiving the RFID tag that reading and writing equipment sent to send the 3D image to the treater, thereby realized full automation's milk cow body condition accuracy and grade, solved the wasting time and energy of the artifical field observation touch method of grading, the strong problem of subjectivity, be fit for being used for automatic the grading of breed enterprise milk cow body condition of high throughput.
Description
Technical field
This utility model belongs to agricultural technology field, particularly to a kind of milch cow body condition automaton.
Background technology
Optimization selection-breeding milch cow hereditary character, the yield and quality of raising milk are the most important things of Milk Production link; but during milk cattle cultivating; thin or the most fat milch cow often occurred; if monitoring these milch cows not in time and taking appropriate measures, it will affect the milk yield of milch cow, productiveness, health and life-span.Milch cow Body Condition Score (Body condition scoring, BCS) is considered as an important management means, and it can be used to estimate the energy reserve situation of milch cow and fat or thin degree thereof.Thus reflect that milch cow was raised in a period of time and whether meet the requirements, in order to D method for breeding is adjusted.Under normal circumstances, using 5 points of systems to be estimated BCS, 1 point represented thin milch cow, and 5 points represented fat milch cow.
Milch cow body condition methods of marking mainly has professional person's criterion, visible images analytic process and thermal infrared images analytic process at present.
Wherein, artificial decision method, it is to complete by rule of thumb after professional person's field observation and manual palpation milch cow, wastes time and energy, subjectivity is strong, and the scoring of later expert is easily affected by previous position expert analysis mode；
Visible images analyzes method, it is that the top that photographic head is arranged on milch cow passage carries out image acquisition, then manually the milch cow in image is carried out anatomical structure location, described point, carry out dairy cow's conformation qualification by parameters such as the distance between calculating characteristic point, angles；Or shoot multiple image procossing by disposable, therefrom select do not have milch cow adhesion, milch cow stance good and the preferable image of background carries out processing and realize milch cow Body Condition Score and is faced with the difficult problems such as the segmentation of image complex background, on-the-spot uneven illumination process, need manually to carry out image to select to intervene, it is impossible to realize the Body Condition Score of automatization.And the difference of milch cow erect-position can largely effect on the collection effect of two dimensional image, thus affect result of calculation；
What image processing method utilized is the image information of two dimension, it is faced with the difficult problems such as the segmentation of image complex background, on-the-spot uneven illumination process, and the difference of milch cow erect-position can largely effect on the collection effect of two dimensional image, thus affect result of calculation, it is difficult to realize completely automatic Body Condition Score.Also have Patents to use thermal infrared imager to add the method for photographing unit and milch cow thermographic image data is processed into contour images, and contour images is carried out auto-scoring.But the infrared thermal imaging technique used in the method is a kind of temperature sensitivity formation method, affected by ambient temperature relatively big, be not a kind of robust type method.Further, milch cow, as a kind of three-dimensional living animal, utilizes two dimensional image to carry out acquisition of information, it is impossible to carry out extraction and the description of feature from three-dimensional angle.
Utility model content
The purpose of this utility model is to provide a kind of automatization, noncontact, objective milch cow body condition scoring apparatus.
In order to achieve the above object, this utility model provides a kind of milch cow body condition automatic scoring device, including: read-write equipment, scanner and processor, described processor is connected with described read-write equipment, is also connected with described scanner；Described read-write equipment and described scanner are arranged at the passage of milking that milch cow goes to give milk；
Described read-write equipment reads, through passage of milking, the information comprised in the radio-frequency (RF) tag on this milch cow health milch cow, and the information of described radio-frequency (RF) tag includes the identification information of this milch cow；
The information of the described radio-frequency (RF) tag read is sent to processor by described read-write equipment；
Described processor, after the information receiving the radio-frequency (RF) tag that read-write equipment sends, controls described scanner after receiving described control instruction, gathers the 3D rendering at this milch cow rear portion, and sends described 3D rendering to described processor.
Further, described radio-frequency (RF) tag is positioned at the ear of milch cow.
Further, described scanner is 3D scanner.
Further, described read-write equipment is radio frequency reception sensor.
In the milch cow body condition automatic scoring device that this utility model provides, processor controls scanner collection milch cow back after receiving the information of radio-frequency (RF) tag and carries out 3D rendering, and based on 3D rendering and default algorithm, obtain the score value of milch cow body condition, achieve full automatic milch cow body condition accurately to mark, solve manual site to observe and touch the wasting time and energy of methods of marking, the strong problem of subjectivity, be suitable for the breeding enterprise milch cow body condition automatic scoring of high-throughput.
Accompanying drawing explanation
In order to be illustrated more clearly that this utility model embodiment or technical scheme of the prior art, in describing embodiment below, the required accompanying drawing used is briefly described, apparently, accompanying drawing in describing below is only examples more of the present utility model, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the milch cow body condition automatic scoring structure drawing of device that this utility model provides；
Fig. 2 is the milch cow body condition automatic scoring method flow diagram that this utility model provides；
Fig. 3 is step S105 concrete grammar flow chart in the method shown in Fig. 2；
Fig. 4 is the milch cow body condition score in predicting method for establishing model flow chart that this utility model provides.
Detailed description of the invention
Below in conjunction with the accompanying drawing in this utility model embodiment, the technical scheme in this utility model embodiment is clearly and completely described, it is clear that described embodiment is only a part of embodiment of this utility model rather than whole embodiments.Based on the embodiment in this utility model, the every other embodiment that ordinary skill people is obtained under not making creative work premise, broadly fall into the scope of this utility model protection.
First aspect, this utility model provides a kind of milch cow body condition automatic scoring device, participates in Fig. 4, including: read-write equipment 1, scanner 2 and processor 3, processor 3 is connected with read-write equipment 1, is also connected with scanner 2；Read-write equipment 1 and scanner 3 are arranged at the passage of milking that milch cow goes to give milk；
Read-write equipment 1 reads, through passage of milking, the information comprised in the radio-frequency (RF) tag 5 on this milch cow health milch cow, and the information of radio-frequency (RF) tag 5 includes the identification information of this milch cow；
The information of the radio-frequency (RF) tag 5 read is sent to processor 3 by read-write equipment 1；
Processor 3 is after the information receiving the radio-frequency (RF) tag 5 that read-write equipment 2 sends, and control scanner 3, after receiving control instruction, gathers the 3D rendering at this milch cow rear portion, and sends 3D rendering to processor 2.
Further, radio-frequency (RF) tag is positioned at the ear of milch cow.
Further, scanner is 3D scanner.
Further, read-write equipment is radio frequency reception sensor.
In the milch cow body condition automatic scoring device that this utility model provides, processor controls scanner collection milch cow back after receiving the information of radio-frequency (RF) tag and carries out 3D rendering, and based on 3D rendering and default algorithm, obtain the score value of milch cow body condition, achieve full automatic milch cow body condition accurately to mark, solve manual site to observe and touch the wasting time and energy of methods of marking, the strong problem of subjectivity, be suitable for the breeding enterprise milch cow body condition automatic scoring of high-throughput.
Second aspect, this utility model provides device to be also based on following method to milch cow body condition automatic scoring, participates in Fig. 2, including:
S101, milch cow are through out-of-date, and read-write equipment reads the information of the radio-frequency (RF) tag of this milch cow ear, and the information of radio-frequency (RF) tag includes the identification information of this milch cow；
The information of the radio-frequency (RF) tag read is sent to processor by S102, read-write equipment；
S103, processor, after the information receiving the radio-frequency (RF) tag that read-write equipment sends, send control instruction to scanner；
S104, scanner, after receiving control instruction, gather the 3D rendering at this milch cow rear portion, and send 3D rendering to processor；
This milch cow body condition, according to 3D rendering, is marked by S105, processor by default algorithm.
In the specific implementation, as it is shown on figure 3, step S105 specifically includes:
S1051, processor carry out spatial alternation and normalized to 3D rendering, thus the Different Effects that result is brought by the stance eliminating different milch cow, it is ensured that the accuracy of appraisal result.
S1052, processor carry out feature mining and screening to the 3D rendering after normalized, and wherein, feature includes global feature and local feature；
S1053, processor comprehensive characteristics, obtain 3D characteristic vector；
S1054, processor will the input of 3D characteristic vector to milch cow body condition score in predicting model carries out computing, and using operation result as the score value of milch cow body condition.
After above-mentioned process, processor just can automatically obtain the score value of milch cow body condition according to the 3D rendering that scanner collects.And the above-mentioned process for the 3D rendering of milch cow uses three-dimensional point cloud formation method, do not affected by ambient and background, do not affected by ambient temperature simultaneously, therefore the device that application this utility model embodiment provides can adapt to dairy cow farm adverse circumstances, and robust type is higher.
In step S1052,3D rendering is carried out feature mining and screening includes excavating the global feature of 3D rendering and screening and the local feature of 3D rendering is excavated and screened.Wherein, global feature is excavated and screening uses overall Euclidean architectural feature extracting method based on (Principal Component Analysis), local feature is excavated and screening uses local manifolds architectural feature extracting method based on LPP (Locality Preserving Projection).Owing to above two feature extracting method is the feature extracting method that those skilled in the art more commonly use, do not repeat them here.
In the specific implementation, in order to the speed that in quickening process, feature is processed by platform, step S1053 also includes: the feature after processor carries out dimension-reduction treatment, and comprehensive described dimensionality reduction to described feature obtains 3D characteristic vector.
Also, it should be noted the milch cow body condition score in predicting model in step S1054 is set up by following step, as it is shown on figure 3, include:
S301, select a number of milch cow sample, gather the 3D sample image at the rear portion of each milch cow sample, described 3D sample image is carried out spatial alternation and standardization；
S302, the 3D sample image after standardization is carried out sample characteristics extract with screening, wherein, described sample characteristics includes sample global feature and sample local feature；
S303, according to described sample characteristics formed 3D sample characteristics data；
S304, carry out study and the training of model according to described 3D sample characteristics data and the artificial score value of corresponding milch cow sample that extracts from data base, obtain 3D sample characteristics data and milch cow sample manually mark between incidence relation, it is thus achieved that milch cow body condition score in predicting model.
The milch cow body condition scoring apparatus that milch cow body condition score in predicting model based on above-mentioned foundation i.e. can be used for based on this utility model embodiment provides carries out automatic scoring to milch cow, thus the health of milch cow is carried out science and marks accurately, it is adaptable to the breeding environment of high-throughput.
Additionally, in the specific implementation, in order to provide the body condition data of more fully more detailed milch cow, as in figure 2 it is shown, also include after step S105:
The body condition mark trendgram over time of every milch cow set up by S106, described processor.
By this changing trend diagram, the physical condition that detected milch cow is recent be can clearly react, the healthy dynamic of milch cow, the beneficially breeding enterprise the most relatively large sample value enterprise management to milk cattle cultivating understood in time.
Above example is merely to illustrate this utility model, rather than to restriction of the present utility model.Although this utility model being described in detail with reference to embodiment, it will be understood by those within the art that, the technical solution of the utility model is carried out various combination, amendment or equivalent, without departure from the spirit and scope of technical solutions of the utility model, it all should be contained in the middle of claim of the present utility model and scope.
Claims (4)
1. a milch cow body condition automatic scoring device, it is characterised in that including: read-write equipment,
Scanner and processor, described processor is connected with described read-write equipment, also with described scanning
Instrument is connected；Described read-write equipment and described scanner are arranged on the passage of milking that milch cow goes to give milk
Place；
Described read-write equipment reads the radio frequency mark on this milch cow health milch cow through passage of milking
The information comprised in label, the information of described radio-frequency (RF) tag includes the identification information of this milch cow；
The information of the described radio-frequency (RF) tag read is sent to processor by described read-write equipment；
Described processor, after the information receiving the radio-frequency (RF) tag that read-write equipment sends, controls institute
State scanner and gather the 3D rendering at this milch cow rear portion, and described 3D rendering is sent to described process
Device.
2. device as claimed in claim 1, it is characterised in that described radio-frequency (RF) tag is positioned at milk
The ear of cattle.
3. device as claimed in claim 1, it is characterised in that described scanner is 3D scanning
Instrument.
4. device as claimed in claim 1, it is characterised in that described read-write equipment is radio frequency
Receive sensor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201620293193.9U CN205608801U (en) | 2016-04-08 | 2016-04-08 | Automatic device of grading of milk cow body condition |
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| CN201620293193.9U CN205608801U (en) | 2016-04-08 | 2016-04-08 | Automatic device of grading of milk cow body condition |
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| CN205608801U true CN205608801U (en) | 2016-09-28 |
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| CN201620293193.9U Active CN205608801U (en) | 2016-04-08 | 2016-04-08 | Automatic device of grading of milk cow body condition |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110059959A (en) * | 2019-04-18 | 2019-07-26 | 广州影子科技有限公司 | Cultivate management method, managing device and the management system of information |
| CN112856170A (en) * | 2020-12-25 | 2021-05-28 | 河南科技大学 | Automatic device of grading of milk cow body condition |
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2016
- 2016-04-08 CN CN201620293193.9U patent/CN205608801U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110059959A (en) * | 2019-04-18 | 2019-07-26 | 广州影子科技有限公司 | Cultivate management method, managing device and the management system of information |
| CN112856170A (en) * | 2020-12-25 | 2021-05-28 | 河南科技大学 | Automatic device of grading of milk cow body condition |
| CN112856170B (en) * | 2020-12-25 | 2022-07-01 | 河南科技大学 | Automatic device of grading of milk cow body condition |
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