CN213282917U - Non-contact type pig body size parameter measuring system - Google Patents
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- CN213282917U CN213282917U CN202020853734.5U CN202020853734U CN213282917U CN 213282917 U CN213282917 U CN 213282917U CN 202020853734 U CN202020853734 U CN 202020853734U CN 213282917 U CN213282917 U CN 213282917U
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Abstract
The utility model provides a non-contact live pig body size parameter measurement system, which arranges a limit fence bracket in a piggery channel in a live pig farm to form a live pig channel; the industrial camera is used for collecting images containing pig face information; the depth camera is used for acquiring an image containing the body length information of the live pig; the RFID reader-writer is used for determining an individual identification code of the live pig; the industrial personal computer is used for generating a pig body data file according to the first image and the second image; the server is used for acquiring the body size parameters of the live pigs according to the pig body data files and the individual identification codes of the live pigs. The embodiment of the utility model provides a combine the characteristics of degree of depth camera and industry camera, fuse thing networking, machine vision, image processing, degree of depth study and intelligent information processing, realize the measurement of non-contact live pig body size parameter, utilize the supplementary live pig of data ization means to breed, reduce artificial intervention and live pig's stress response, improved the production standardization, informationization, intellectuality and the automation level of live pig plant.
Description
Technical Field
The utility model relates to an agricultural automation technical field especially relates to a non-contact live pig body chi parameter measurement system.
Background
The body size index of the livestock reflects the body size and growth and development conditions of the livestock, and is closely related to the adaptability of the livestock to the environment, economic value, production performance, reproductive performance and the like. The pig is used as an important variety for the development of animal husbandry, and the accurate measurement of the body size parameters of the pig has important significance for exploring the growth development, reproductive performance and production performance of the pig, and is also an important basis for measuring the breeding effect and the standardized feeding degree of the pig.
The traditional manual detection mode is limited by factors such as personnel, sites, population quantity and the like, and the purpose of accurate, quick and timely monitoring is often difficult to achieve. At present, the method for measuring the body size parameters of the live pigs mainly comprises manual observation, machine vision, binocular vision and the like.
The manual measurement method directly contacts the pig body, the measurement difficulty is high, the error is large, and the pig body is easy to be stimulated to influence the growth and development of the pig body.
In many researches for measuring the pig body size by using a machine vision technology, because the pig body size is measured based on a single-frame static image on the basis of processing the static image, the acquired image has high requirement, the pig body in the image is required to be complete without head bending and head lowering, and the back of the pig body is straight and has no bending. In the actual image acquisition process, however, due to the feeding habits and fighting habits of pigs, ideal images meeting the measurement requirements are difficult to acquire, so that the application of the machine vision technology to the measurement of the body size of the pigs is restricted;
in addition, a set of binocular vision principle-based pig body ruler detection system is designed for Lizhuo and the like at Chinese agriculture university. Obtaining a pig body image by using a binocular vision system, extracting height information of a pig by using a frame difference method, binarizing the image according to the height information to obtain a pig body contour, screening body ruler detection key points by combining an optimized inflection point extraction algorithm based on a sunken structure, and calculating 5 individual ruler parameters of body length, body width, body height, hip width and hip height. However, the pig body ruler detection based on the binocular vision principle is to use the traditional color camera to measure the pig body ruler, is influenced by environment and light, and is easy to cause target contour extraction errors due to dirt on the pig body and high-light objects on the ground, so that the measurement errors of the pig body ruler can be increased.
SUMMERY OF THE UTILITY MODEL
The utility model provides a non-contact pig body chi parameter measurement system for solve or partially solve among the prior art at the domestic animal body chi defect that exists among the parameter measurement.
The embodiment of the utility model provides a non-contact live pig body chi parameter measurement system mainly includes: spacing fence support, degree of depth camera, RFID read write line, industry camera, signal transmission device, industrial computer and server, wherein:
the limiting fence bracket is arranged in a piggery channel in a live pig farm to form a live pig channel; the depth camera, the RFID reader-writer and the industrial camera are arranged on the limit fence bracket; the industrial camera is used for acquiring a first image containing pig face information; the depth camera is used for acquiring a second image containing the body length information of the live pig; the RFID reader-writer is used for determining the individual identification code of the live pig by reading the RFID chip on the live pig; the industrial personal computer is used for generating a pig body data file according to the first image and the second image; the signal transmission device is used for transmitting the pig body data file and the individual identification code of the live pig to the server through the signal transmission device; the server is used for acquiring the body size parameters of the live pigs according to the pig body data files and the individual identification codes of the live pigs.
Optionally, the depth camera may be multiple, and at least one of the depth camera is disposed above the hurdle bracket and at least one of the depth camera is disposed on a side of the hurdle bracket, where: the depth camera is arranged above the limiting fence bracket and is used for acquiring a top view containing the body length information of the live pigs; the depth camera arranged on the side of the limiting fence support is used for acquiring a side view containing the body length information of the live pigs.
Optionally, the server mainly includes a processor, and an operating memory and a FLASH memory connected to the processor; the FLASH memory is used for storing system software, programs for measuring body sizes and databases for storing pig body data files of different pigs.
Optionally, the embodiment of the present invention provides a non-contact pig body size parameter measurement system, which further comprises a display device. The display device is mainly used for displaying the individual body condition information, the age-in-day information and the body scale parameter curve of the live pigs generated according to the body scale parameters of different live pigs; and the system is also used for displaying physiological sign information, health condition information and breeding environment evaluation information of the live pigs, which are generated according to the peak value and the tendency index of the body size parameter curve.
Optionally, the measurement system may further comprise an input-output device; the input and output device is used for switching a display interface of the display device, realizing parameter setting of the measurement system and realizing output of the report.
Optionally, the body size parameters mainly include a body length parameter, a body width parameter, and a body height parameter.
Optionally, the distance between the installation point of the depth camera arranged above the limit fence bracket and the ground is about 170 cm; the distance between the mounting point of the depth camera arranged on the side of the limit fence bracket and the ground is about 110 cm; the closest distance of the mounting point of the industrial camera to the pig's face is about 50 cm.
Optionally, the measuring system may further include a ground scale device, which is disposed on the ground of the live pig passageway and below the limiting rail bracket; the device is used for acquiring the weight parameters of the live pigs and sending the weight parameters to the server through the signal transmission device.
Optionally, the measurement system provided by the embodiment of the utility model further comprises an internet of things cloud platform for storing pig body data files and individual identification codes of live pigs; the Internet of things cloud platform is further used for sending the pig body data file and the individual identification code of the live pig to the server according to the calling instruction.
Alternatively, the signal transmission device may be a wireless transmission device.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic structural view of a non-contact type pig body ruler parameter measuring system provided by the present invention; wherein: 1-a limit fence bracket; 2-a depth camera; 3-an RFID reader; 4-an industrial camera; 5. an industrial personal computer; 6-signal transmission means; 7-an internet of things cloud platform; 8-server.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts belong to the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", and the like, indicate the orientation or positional relationship indicated based on the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the system or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," and "fixed" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally formed; may be mechanically coupled, may be electrically coupled or may be in communication with each other; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meaning of the above terms in the present invention can be understood according to specific situations by those skilled in the art.
With the development of modern informatization and automation technical means, in particular to the deep application of sensors, the Internet of things and computer technology in the field of agriculture, new technical means and practical tools are brought for the non-contact acquisition and measurement of parameters of a pig body ruler and the reduction of stress response of pigs. The embodiment of the utility model provides an synthesize intelligent system information processing techniques such as integrated sensor, thing networking, computer vision, degree of depth study, build a non-contact live pig body chi parameter measurement system based on depth sensor, realize automatic, quick, stable, contactless measurement live pig body chi parameter, monitor its health, for animal husbandry production provides real-time accurate data support, promote modern agriculture's rapid development to for animal husbandry production management decision-making provides technical support and appurtenance. Specifically, as shown in fig. 1, the measuring system includes, but is not limited to, a stop bar support 1, a depth camera 2, an RFID reader/writer 3, an industrial camera 4, a signal transmission device 6, an industrial personal computer 5, and a server 8. The limiting fence bracket 1 is arranged in a pigsty channel in a live pig farm to form a live pig channel; the depth camera 2, the RFID reader-writer 3 and the industrial camera 4 are arranged on the limit fence bracket 1. The industrial camera 4 is used for collecting a first image containing pig face information; the depth camera 2 is used for acquiring a second image containing the body length information of the live pig; the RFID reader-writer 3 is used for determining the individual identification code of the live pig by reading the RFID chip on the live pig; the industrial personal computer 5 is used for generating a pig body data file according to the first image and the second image; the signal transmission device 6 is used for sending the pig body data file and the individual identification code of the live pig to the server 8. The server 8 is used for obtaining the body size parameters of the live pigs according to the pig body data files and the individual identification codes of the live pigs.
Specifically, as shown in fig. 1, the fence bracket 1 is erected into a rectangular parallelepiped channel shape. Wherein, RFID read write line 3 sets up in the import department of passageway, and is located the upper end of gag lever post support 1 to can be accurate discernment live pig on one's body the RFID chip and confirm this live pig's individual identification code as the standard. The depth camera 2 is arranged on the upper part and/or the side part of the limiting bar support, so that a second image containing the whole body length information of the live pig can be obtained. The industrial camera 4 may be disposed at an outlet of the channel, and when the live pig passes through the channel, the industrial camera faces the pig face direction to obtain the first image containing the complete pig face information. It should be noted that the structural shape of the fence bracket and the installation positions of the depth camera, the RFID reader, and the industrial camera shown in fig. 1 are only described as an embodiment, and are not intended to limit the scope of the embodiments of the present invention.
The industrial personal computer 5 can be arranged in the pigsty and can also be arranged outside the pigsty. Set up in the pig house can effectually avoid the corruption of complicated, moist environment in the pig house to equipment when industrial computer 5, improve equipment's life and stability. The depth camera 2, the RFID reader/writer 3, and the industrial camera 4 are all in communication connection with the industrial personal computer 5, and the communication connection may be through cable connection or wireless communication, which is not specifically limited in this embodiment.
The embodiment of the utility model provides a through predetermineeing the non-contact live pig body size parameter measurement system in the pig house passageway in the live pig plant, utilize the spacing fence support to build the live pig passageway, in every live pig time quantum through the live pig passageway, the first image that contains the pig face information of dynamic collection, the individual identification code that contains the second image of live pig body length information and live pig. Wherein the inlet and outlet of the channel are designed to allow only one-way passage.
Further, in the present embodiment, the first image (color image) acquired by the industrial camera 4 and the second image (three-dimensional data) acquired by the 3D depth camera are transmitted into the industrial personal computer 5 disposed in the farm.
Further, the first image and the second image can be analyzed on the industrial personal computer 5 by using data processing software, and the change condition of the three-dimensional surface data in a continuous period of time is calculated, so that a pig body data file of the live pig three-dimensional depth value is generated.
And further, calling a data preprocessing algorithm in the server, and sequentially extracting image frames in the video. Firstly, identifying a face image to determine the individual identity of the face image, and determining the position of a key point of a pig body image. And selecting an inner area of a barrier of the limit fence support in the shot pig body image as an interest area, and cutting the image of the interest area. And then, extracting the pig body image in the image of the interest region by using a differential method, wherein the pig body image in the shape of the pig individual is obtained by subtracting the foreground image and the background image. Further, binarization processing can be performed on the image after the difference image method by an Otsu method to obtain a binary image with the pig body as a target. And finally, calculating the body size parameters of the target live pig according to the acquired binary image.
The embodiment of the utility model provides a non-contact live pig body size parameter measurement system combines the characteristics of degree of depth camera and industry camera, fuses machine vision, image processing, deep learning and intelligent information processing, realizes the measurement of non-contact live pig body size parameter, utilizes the supplementary live pig of data-based means to breed, reduces artificial intervention and live pig's stress response, has improved the production standardization, information-based, intelligent and the automation level of live pig plant.
Based on the content of the above embodiment, as an optional embodiment, the number of the depth cameras 2 may be multiple, and at least one depth camera is disposed above the balustrade bracket 1 and at least one depth camera is disposed at the side of the balustrade bracket 1; the depth camera 2 arranged above the limiting fence bracket 1 is used for acquiring a top view containing the body length information of the live pigs; the depth camera 2 arranged on the side of the limiting fence bracket 1 is used for acquiring a side view containing the body length information of the live pigs.
Specifically, as shown in fig. 1, the number of the depth cameras 2 is set to three, one of which is disposed above the barrier frame 1; the other two are respectively arranged at two sides of the limit fence bracket 1 and are oppositely arranged into a Chinese character 'PIN' array. When a live pig passes through the live pig channel, the three depth cameras work simultaneously to collect the video of the live pig passing through, so that a second image capable of accurately representing the body ruler characteristics of the live pig is extracted from the three sections of videos.
The embodiment of the utility model provides a through setting up a plurality of degree of depth cameras, acquire simultaneously and gather top view and the side view that contains live pig body length information, through the combination analysis with top view and side view, can avoid live pig to have phenomenons such as askew head, low head when the passageway, perhaps the back is not under the condition such as straight form, no bending, the homoenergetic enough realizes the analysis and the measurement to the body chi parameter, has reduced the requirement to gathering the image, the effectual precision that has improved the detection. And simultaneously, the embodiment of the utility model provides an adopt the colored pig face image that acquires the industry camera to combine together with the 3D depth image that the degree of depth camera gathered, utilize the color image to determine the individual identity of target live pig to key point position of the main part image in the 3D depth image of can pinpointing has effectually improved the efficiency that detects and the precision that detects.
Based on the content of the foregoing embodiment, as an optional embodiment, the server 8 includes a processor, and an operating memory and a FLASH memory connected to the processor; the FLASH memory is used for storing system software, programs for measuring body sizes and databases for storing pig body data files of different pigs.
The embodiment of the utility model provides an utilize the industrial computer to carry out the preliminary treatment to the video that depth camera 2 and industrial camera 4 gathered, include and carry out the extraction of image from the video, will contain the first image of pig face information and carry out image processing with the second image that contains live pig body length information, acquire pig body data file. And finally, the pig body data files of all the pigs correspond to the individual identification codes of all the pigs by utilizing a program for body size measurement, which is pre-stored in the server, and the pig body data files are analyzed to obtain the body size parameters of all the pigs.
The embodiment of the utility model provides a through setting up the server, realized receiving, saving and handling the synthesis of the pig body data file of different live pigs and individual identification code information, need not to carry out solitary measurement to every live pig, the effectual efficiency that detects that has improved. Moreover, the server is arranged, so that the collected data can be stored, and a foundation is provided for the overall management and analysis of the culture condition.
Based on the content of the above embodiment, as an alternative embodiment, the measurement system may further include a display device; the display device is mainly used for displaying the individual body condition information, the age-in-day information and the body scale parameter curve of the live pigs generated according to the body scale parameters of different live pigs; the display device can also be used for displaying the physiological sign information, the health condition information and the breeding environment evaluation information of the live pigs, which are generated according to the peak value and the tendency index of the body size parameter curve.
Specifically, the non-contact live pig body size parameter measurement system provided by this embodiment can generate body condition information of corresponding live pig individuals and draw a curve of the day age and body size parameters according to the obtained body size parameters of different live pig individuals, and can provide quantitative basis for monitoring physiological signs of live pigs, monitoring health conditions and evaluating breeding environments according to indexes such as peak values and tendency of the curve, so as to achieve the purpose of improving the production efficiency and quality of live pig breeding in modern animal husbandry.
Specifically, the display device may be in communication connection with the server, and corresponding data analysis software is loaded in the server in advance, so as to display the body condition information of each live pig individual and the like by using the display according to the calculated body size parameter of each live pig.
Based on the content of the above embodiment, as an optional embodiment, the non-contact type pig body size parameter measuring system may further include an input/output device; the input and output device is mainly used for switching the display interface of the display device, realizing the parameter setting of the measurement system and realizing the output of the report.
For example, the curve of the body size parameter of each live pig can be observed on the display according to the actual observation requirement. When the overall reproductive environment evaluation information needs to be known, the interface can be switched by using the input and output device.
The embodiment of the utility model provides a non-contact live pig body chi parameter measurement system through setting up display device and input/output device, can make the state that the on-the-spot staff is timely, audio-visual connection is bred at present, is convenient for in time adjust the mode of breeding, has improved the degree of automation of breed, provides real-time accurate data support for the stockbreeding producer.
Based on the content of the above embodiments, as an optional embodiment, the body size parameters mainly include a body length parameter, a body width parameter, and a body height parameter.
The embodiment of the utility model provides a owing to used a plurality of degree of depth cameras, acquire the second image that contains live pig body length information under the different visual angles, for the body size parameter including body length parameter, body width parameter and body height parameter that acquires the live pig provides the basis, compare in the current measuring method that can only acquire the unilateral parameter in rapidly, the data that acquire are more complete, the pump can be effective amount to characterize the current state of target live pig.
Based on the content of the above embodiment, as an alternative embodiment, the distance from the installation point of the depth camera 2 arranged above the stop fence bracket 1 to the ground is about 170 cm; the distance between the installation point of the depth camera 2 arranged on the side of the limit fence bracket 1 and the ground is about 110 cm; the mounting point of the industrial camera 4 is approximately 50cm closest to the pig's face.
Specifically, in the present embodiment, in order to effectively acquire the detection data, the mounting point of the upper 3D depth camera 2 may be about 170cm from the ground according to the body type characteristics of the live pig. When the depth camera 2 is provided in plurality, the depth camera located at the side is about 110cm from the channel. The industrial camera 4 that collects the pig face information is kept at 50cm from the pig face. The 3D depth camera acquisition frequency was set at 10-20 frames/sec, the resolution of the video was 512 pixels by 424 pixels, and the data was recorded.
Based on the content of the above embodiment, as an optional embodiment, the system for measuring the body size parameters of the non-contact live pig further comprises a ground scale device; the floor scale device is arranged on the ground of the live pig channel and is positioned below the limiting fence bracket 1; the device is used for acquiring the weight parameters of the live pigs and sending the weight parameters to the server through the signal transmission device.
Specifically, when a live pig passes through a live pig channel formed by a limiting bar support, a ground scale device, a depth camera, an RFID reader-writer and an industrial camera are started, and a first image, a second image, an individual identification code and a weight parameter of a target live pig are obtained simultaneously. On the basis of the above embodiment, by acquiring the weight information of the live pig, the current state of the live pig can be more accurately analyzed, for example: the body fat information of the live pig can be analyzed.
Based on the content of the above embodiment, as an optional embodiment, as shown in fig. 1, the non-contact live pig body size parameter measurement system may further include an internet of things cloud platform 7 for storing a pig body data file and an individual identification code of a live pig; the Internet of things cloud platform 7 is further used for sending the pig body data file and the individual identification code of the live pig to the server according to the calling instruction.
In view of this, a plurality of non-contact live pig body size parameter measurement systems can be deployed at fence outlets of all piggeries, body size data collected by the non-contact live pig body size parameter measurement systems are collected to the Internet of things cloud platform in a unified mode, the Internet of things cloud platform stores the body size data, all data can be comprehensively analyzed through the field remote service platform, unified management of all piggeries is achieved, and cost and complexity of manual management are reduced. Meanwhile, comprehensive analysis can be further realized on the whole pig farm and even the whole live pig breeding industry. For example: can provide large-scale epidemic situation early warning, live pig breeding supply and demand relationship analysis and the like.
The embodiment of the utility model provides a think to combine through intelligent system information processing techniques such as internet of things, computer vision, deep learning, make full use of internet of things's data storage and data sharing advantage, realize automatic, quick, stable, contactless measurement live pig body size parameter, monitor its health, for animal husbandry production provides real-time accurate data support, promote modern agriculture's rapid development to for animal husbandry production management decision-making provides technical support and appurtenance.
Based on the content of the foregoing embodiments, as an alternative embodiment, the signal transmission device may be a wireless transmission device. The wireless transmission device may be a 2G module, a 3G module, a 4G module, a 5G module, a LORA module, or an NB-IoT module, and may be connected to a local area network or a public network to communicate with a server, which is not limited in this embodiment.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention in its corresponding aspects.
Claims (9)
1. The utility model provides a non-contact live pig body chi parameter measurement system which characterized in that includes: the system comprises a limit fence bracket, a depth camera, an RFID reader-writer, an industrial camera, a signal transmission device, an industrial personal computer and a server;
the limiting fence bracket is arranged in a pigsty channel in a live pig farm to form a live pig channel;
the depth camera, the RFID reader-writer and the industrial camera are arranged on the limit fence bracket;
the industrial camera is used for acquiring a first image containing pig face information;
the depth camera is used for acquiring a second image containing the body length information of the live pig;
the RFID reader-writer is used for reading an RFID chip on a live pig to determine an individual identification code of the live pig;
the industrial personal computer is used for generating a pig body data file according to the first image and the second image;
the signal transmission device is used for sending the pig body data file and the individual identification code of the live pig to the server;
and the server is used for acquiring the body size parameters of the live pigs according to the pig body data files and the individual identification codes of the live pigs.
2. The system of claim 1, wherein the depth cameras are multiple and at least one is disposed above the hurdle bracket and at least one is disposed to the side of the hurdle bracket;
the depth camera is arranged above the limit fence bracket and is used for acquiring a top view containing the body length information of the live pigs; and the depth camera arranged on the side of the limit fence bracket is used for acquiring a side view containing the body length information of the live pig.
3. The system of claim 2, further comprising a display device;
the display device is used for displaying the body condition information, the age of day information and the body scale parameter curve of the live pig individual generated according to the body scale parameters of different live pigs;
the display device is also used for displaying the physiological sign information, the health condition information and the breeding environment evaluation information of the live pigs, which are generated according to the peak value and the tendency index of the body size parameter curve.
4. The system of claim 3, further comprising an input and output device;
the input and output device is used for switching a display interface of the display device, realizing parameter setting of the measurement system and realizing output of a report.
5. The system of claim 2, wherein the body size parameters include a body length parameter, a body width parameter, and a body height parameter.
6. The system of claim 2, wherein the depth camera is mounted above the stop bar support at a point 170cm from the ground; the distance between the mounting point of the depth camera arranged on the side of the limit fence bracket and the ground is 110 cm; the closest distance between the mounting point of the industrial camera and the pig face is 50 cm.
7. The system of claim 1, further comprising a floor scale device; the ground scale device is arranged on the ground of the live pig channel and is positioned below the limiting fence bracket; the device is used for acquiring the weight parameters of the live pigs and sending the weight parameters to the server through the signal transmission device.
8. The system of claim 1, further comprising an internet of things cloud platform for storing the pig body data file and the individual identification code of the live pig;
the Internet of things cloud platform is further used for sending the pig body data file and the individual identification code of the live pig to the server according to a calling instruction.
9. The system of claim 1, wherein the signal transmission device is a wireless transmission device.
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| CN113670421A (en) * | 2021-08-25 | 2021-11-19 | 聊城大学 | Animal body chi of equus and weight rapid survey appearance |
| CN113762745A (en) * | 2021-08-24 | 2021-12-07 | 北京小龙潜行科技有限公司 | Live pig body shape assessment method and device based on machine vision |
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| CN113670421A (en) * | 2021-08-25 | 2021-11-19 | 聊城大学 | Animal body chi of equus and weight rapid survey appearance |
| CN114698567A (en) * | 2022-04-07 | 2022-07-05 | 广东省农业科学院动物科学研究所 | Accurate and efficient aquaculture Internet of things system and method for pig farm |
| CN114931112A (en) * | 2022-04-08 | 2022-08-23 | 南京农业大学 | Sow body ruler detection system based on intelligent inspection robot |
| CN114931112B (en) * | 2022-04-08 | 2024-01-26 | 南京农业大学 | Sow body ruler detection system based on intelligent inspection robot |
| CN116363141A (en) * | 2023-06-02 | 2023-06-30 | 四川省畜牧科学研究院 | Pregnant sow intelligent body type evaluation device and system |
| CN116363141B (en) * | 2023-06-02 | 2023-08-18 | 四川省畜牧科学研究院 | Pregnant sow intelligent body type evaluation device and system |
| CN117053875A (en) * | 2023-10-10 | 2023-11-14 | 华南农业大学 | Intelligent poultry phenotype measuring device and method |
| CN117053875B (en) * | 2023-10-10 | 2023-12-19 | 华南农业大学 | Intelligent poultry phenotype measuring device and method |
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