KR20230160642A - Livestock weighing apparatus and method - Google Patents

Abstract

A livestock weight measuring device and method are disclosed. The livestock weight measuring device includes a frame part including a frame forming a certain width, a drinking fountain or feeder for attracting livestock into the frame part, and a tracking part for identifying and tracking the movement of livestock in images captured by a camera. , It includes a weight measurement unit that measures the weight of livestock entering the frame unit.

Description

Livestock weighing apparatus and method}

Embodiments of the present invention relate to a device and method for automatically measuring the weight of livestock.

Recently, as the large-scale and automation of livestock farming has rapidly advanced worldwide, there is a demand for high productivity at low cost, and to this end, measuring weight in real time for each head or herd of livestock has emerged as an important factor.

In the case of the pig farming industry, Marketed pigs per Sow per Year (MSY) and Feed Conversion Ration (FCR) are used as the most important productivity indicators. In the domestic pig farming industry, the number of pigs shipped per year per sow is 17. ~18 animals, the feed requirement ratio is 3.4, which is significantly lower than the 25-28 animals and 2.7-2.8 in advanced livestock countries, so improving this is an urgent issue.

In addition, it is necessary to manage livestock diseases in real time by identifying the daily feed intake, drinking frequency, body temperature, and activity level for each individual and group. In addition, it is necessary to measure the back fat thickness frequently during the breeding period to manage the feeding, and when the shipping time approaches, standard pigs with a high shipping price (1++ grade slaughter weight 83 to 93 kg, back fat thickness 17 mm to 25 mm) must be shipped. To do this, you need to measure your weight accurately. In addition, in the case of breeding livestock (e.g., sows), the correlation between body weight and back fat thickness at each stage of breeding and breeding performance is very high, so real-time weight management can be said to be an extremely important factor in feeding management.

For this reason, most of the domestic pig farming industry has used a visual measurement method to check the weight of pigs with the naked eye, and only a few have used load cell-based weighing devices or automatic sorting machines. However, the visual method of measuring body weight with the naked eye cannot obtain reliable results due to large deviations depending on the skill level of the worker, and also has the problem of high production costs because it requires labor costs for multiple workers.

In addition, when measuring the weight of pigs using a weighing device or automatic sorting machine, the introduction cost is very high and it takes up a lot of specification space as it is a large-sized mechanical device, and due to the nature of the mechanical device made of metal, the metal is easily exposed to ammonia gas caused by excrement. It is corroded and has poor durability, so it cannot be used for a long time, and there are problems with the accumulation of excrement on the mechanical device and measurement errors due to the movement of the pig when measuring weight.

When using an automatic sorting machine, individual identification is impossible unless a means to recognize livestock individuals is provided, and a specific strong livestock may monopolize the drinking fountain or feeder to attract livestock into the sorting machine, resulting in the measurement of all livestock. There is a problem that does not exist. Additionally, when measuring back fat thickness with an ultrasonic diagnostic device, there is the inconvenience of having to contact and measure each individual livestock individually.

The technical problem to be achieved by embodiments of the present invention is to provide a device and method for automatically identifying and measuring the weight of a plurality of livestock in a livestock barn without the need to attach a separate means for identifying livestock individuals to the livestock. There is.

In order to achieve the above technical problem, an example of a livestock weight measuring device according to an embodiment of the present invention includes a frame unit including a frame forming a certain width; A drinking fountain or feeder for attracting livestock into the frame part; A trekking unit that identifies and tracks the movement of livestock in images captured by a camera; and a weight measurement unit that measures the weight of livestock entering the frame unit.

In order to achieve the above technical problem, an example of a method for measuring livestock weight according to an embodiment of the present invention includes the steps of providing identification information to livestock entering a frame part where a space of a certain width is formed; Determining the weight of the livestock; mapping and storing the weight of the livestock with the identification information; and tracking the movement of the livestock in real time based on images captured by a camera to determine whether the livestock has re-entered the frame unit.

According to an embodiment of the present invention, livestock can be automatically identified, weighed, and managed without attaching a separate identification means (for example, paint markings, tags, etc.) to the livestock. As another example, not only the weight of the livestock but also the thickness of the back fat of the livestock can be determined through a non-contact method. As another example, it is possible to prevent a strong individual from monopolizing a drinking fountain or feeder installed to lure livestock to a weighing device. As another example, since body weight can be measured non-contactly, accurate weight measurement may be possible regardless of the accumulation of livestock waste or the movement of livestock.

1 and 2 are diagrams showing an example of the overall structure of a livestock weight measuring device according to an embodiment of the present invention;
Figure 3 is a view showing the side of the livestock weight measuring device according to an embodiment of the present invention;
Figure 4 is a view showing the back of the livestock weight measuring device according to an embodiment of the present invention.
Figure 5 is a diagram showing an example of a drinking fountain (feeder) of a livestock weight measuring device according to an embodiment of the present invention;
Figure 6 is a diagram showing an example of an image measurement sensor unit according to an embodiment of the present invention;
Figure 7 is a diagram showing an example of a method for determining the thickness of back fat of livestock according to an embodiment of the present invention;
Figure 8 is a diagram showing a case where a livestock weight measuring device according to an embodiment of the present invention is installed in a livestock barn;
9 is a flowchart showing an example of a method for measuring livestock body weight according to an embodiment of the present invention;
Figure 10 is a diagram showing an example of a method for storing and managing weight information of livestock by a livestock weight measuring device according to an embodiment of the present invention;
Figure 11 is a flowchart showing an example of a method for preventing a specific entity from monopolizing the drinking fountain (feeder) of the livestock weight measuring device according to an embodiment of the present invention, and
Figure 12 is a diagram showing an example of a back fat prediction model for determining the back fat thickness of livestock according to an embodiment of the present invention.

Hereinafter, the livestock weight measuring device and method according to an embodiment of the present invention will be examined in detail with reference to the attached drawings.

Figures 1 and 2 are diagrams showing an example of the overall structure of a livestock weight measuring device according to an embodiment of the present invention, and Figure 3 is a diagram showing a side view of a livestock weight measuring device according to an embodiment of the present invention. , Figure 4 is a view showing the back of the livestock weight measuring device according to an embodiment of the present invention.

Referring to FIGS. 1 to 4 together, the livestock weight measuring device includes a frame unit 100, a guide unit 102, a drinking fountain (or feeder) 110, a supply control unit 115, and a camera 120. It includes a tracking unit that performs tracking, a weight measurement unit that includes an image measurement sensor (130), etc. Depending on the embodiment, the livestock weight measuring device may omit some components or may further include other components. In another embodiment, the livestock weight measuring device may further include a communication unit (not shown) for wired or wireless communication with an external device. Hereinafter, for convenience of explanation, the description will be made based on the livestock weight measurement device including all the components shown in FIGS. 1 to 4.

The frame unit 100 is implemented as a frame with a certain width to limit the movement of livestock within a certain range. For example, the frame unit 100 may be implemented as a structure that forms an internal space that is longer than the length of the livestock and wider than the width of the livestock. The structure or shape of the frame unit 100 may vary depending on the embodiment and is not limited to the shape of the present embodiment.

It may include a guide part 102 that protrudes at a certain height in the longitudinal direction in the center of the frame part 100 so that the livestock 150 can stand in the center of the frame part 100 without being biased in one direction. The height of the guide unit 102 can be set in various ways depending on the type of livestock 150 to be weighed. For example, when measuring the weight of a pig, the guide unit 102 may have a height shorter than the leg length of the pig. This embodiment shows a pig as an example of the livestock 150, but the livestock subject to body worm measurement may vary depending on the embodiment and is not limited to pigs. However, for convenience of explanation, the explanation below assumes that the livestock is a pig.

The drinking fountain (or feeder) 110 is located on one side of the frame unit 110 to induce entry of livestock 150 into the frame unit 100. The drinking fountain (or feeder) 110 may be fixedly installed on a wall or ceiling, etc. to prevent it from moving. However, in this case, when the livestock 150 that has entered the inside of the frame unit 100 tries to exit the frame unit 100 after consuming water, etc. from the drinking fountain (or feeder) 110, the drinking fountain ( or feeder) 110 may act as a factor that impedes the path. In particular, pigs are livestock that do not move backwards well, so the drinking fountain (or feeder) 110 may be an obstacle for the livestock 150 to go to the front of the frame unit 100.

In another embodiment, the drinking fountain (or feeder) 110 may be fixed with a chain 140 or a string. When the drinking fountain (or feeder) 110 is connected to the holder using a chain 140 or the like, the drinking fountain (or feeder) 110 can move in the forward direction. As an example, the drinking fountain (or feeder) 110 is connected to the holder with two chains 140 so as to be symmetrical left and right to prevent the drinking fountain (or feeder) 110 from shaking left and right, and also to prevent the drinking fountain (or feeder) 110 from shaking left and right. (or feeder) 110 may be connected to the holder with a single chain 140 in the outer direction of the frame portion 100 and installed so that it can only move in the outer direction of the frame portion 100. Therefore, after the livestock 150 consumes water, etc. from the drinking fountain (or feeder) 100, it can easily move out in the front direction of the frame portion 100 by pushing the drinking fountain (or feeder) 110, causing no inconvenience. Therefore, the measurement frequency can be increased. In addition, compared to a method in which the drinking fountain (or feeder) 110 is fixedly installed on the wall, it takes up less space in the barn and installation costs are reduced. As another example, the nipple of the drinking fountain (or feeder) 110 can be bent at a predetermined angle so that livestock can enter only one direction of the frame unit 100 and consume water, etc. An example of this is shown in Figure 5. .

The supply control unit 115 controls whether the drinking fountain (or feeder) is supplied. For example, in order to prevent a specific entity from monopolizing the drinking fountain (or feeding device), the supply control unit 1150 controls the supply of the drinking fountain (or feeding device) when the same entity enters the frame unit before a certain period of time has elapsed. It may not be provided. An example of a specific control method for this is shown in FIG. 11.

The trekking unit uses the camera 120 to identify and track livestock based on images captured in a certain space (for example, a livestock barn, etc.). The tracking unit may include a software module that analyzes captured images together with the camera 120. The software module of the tracking unit may be integrated with the camera 120 or may be implemented as a separate computing device (not shown). When the software module is implemented in a separate computing device (not shown) connected to the camera 120 by wire or wirelessly, the computing device (not shown) receives captured images from the camera in real time, analyzes the captured images, and controls the livestock. Identification and tracking process can be performed.

In one embodiment, the tracking unit assigns identification information to the livestock 150 that has entered the frame unit 100 and then tracks the movement of the livestock in real time based on images captured by the camera 120. If livestock stays within the shooting range of the camera 120, the trekking unit can distinguish multiple livestock through real-time tracking and know which identification information has been assigned to which livestock. Since there are various conventional algorithms for tracking multiple objects in an image, the tracking unit can be implemented using various conventional image-based object tracking algorithms to track livestock.

The weight measurement unit measures the weight of the livestock 150 entering the frame unit 100. The weight measuring unit can measure body weight using a contact method (for example, a weighing device installed on the bottom of the frame, etc.) or a non-contact method, and is not limited to any one method. However, in the case of the contact method, there is a disadvantage in that the accuracy of the measured weight is reduced due to movement of livestock or excrement, so the following will look at a method of measuring body weight using a non-contact method.

The weight detection unit of the non-contact method measures the external appearance of the livestock using at least one image measurement sensor unit 130 and determines the weight of the livestock based on the external data. The image measurement sensor unit 130 may be a sensor that captures a two-dimensional or three-dimensional image of livestock 150 entering the frame unit 100. For example, referring to FIG. 3, the image measurement sensor unit 130 is located one at the front and one at the rear with respect to the frame unit 100, and measures the livestock 150 located within the frame unit 100 from the front and rear. You can obtain a two-dimensional or three-dimensional image of the livestock's appearance by taking each photo.

In one embodiment, the weight determination unit may determine the weight using a weight model that defines the relationship between appearance data and weight. A weight model can be a function or a mapping table that defines the relationship between appearance data and weight. As another example, the weight model may be an artificial intelligence model that predicts weight based on appearance data. The software module of the weight measurement unit may be implemented together with the image measurement sensor unit 130 or may be implemented in a separate computing device (not shown) connected to the image measurement sensor unit 130 by wire or wirelessly. In another embodiment, the communication unit (not shown) may transmit the weight determined by the weight measurement unit to an external device.

The weight measurement department stores and manages the measured weight of the livestock along with the identification information given to the livestock by the trekking department. An example of a method for storing and managing the weight of livestock by assigning identification information to livestock is shown in FIG. 10.

Figure 5 is a diagram showing an example of a drinking fountain (feeder) of a livestock weight measuring device according to an embodiment of the present invention.

Referring to Figure 5, the nipple 112 of the drinking fountain (feeder) 140 is bent at a certain angle in the direction in which livestock enters the frame portion 100. Since the nipple 112 is bent inward of the frame portion 100, livestock must enter the frame portion 100 in a designated entry direction to ingest water, etc. from the drinking fountain (feeder) 110. Since drinking water is possible because it enters in a certain direction, it is possible to prevent the movement lines of livestock heading to the drinking fountain (feeder) 110 from becoming entangled with each other.

In addition, the position of the nipple 112 can be set to a certain height from the floor so that the livestock 150 has a predefined posture (for example, a posture of raising the head and drinking water). In this case, when measuring the external appearance data of livestock, the livestock takes the same posture in the same position, so accurate external data can be obtained, and as a result, the accuracy of weight measurement can be improved.

Figure 6 is a diagram showing an example of an image measurement sensor unit according to an embodiment of the present invention.

Referring to FIG. 6, the image measurement sensor unit 130 may include an image sensor 610 that captures a two-dimensional or three-dimensional image. As examples of image sensors that capture 3D images, various sensors that support stereo cameras, ToF cameras, structured light methods, light triangulation methods, etc. can be used. In another embodiment, in addition to the image sensor 610 that captures two-dimensional and/or three-dimensional images, it may further include a video camera 600 and/or a temperature sensor. The temperature sensor can measure the surrounding temperature or the body temperature of livestock.

For example, when the image measurement sensor unit 130 includes a two-dimensional sensor (e.g., a two-dimensional camera) that captures a two-dimensional image, the image measurement sensor unit 130 detects 2 of the livestock in the captured image. The dimensional area can be output as appearance data. When the image measurement sensor unit 130 includes a sensor that captures a three-dimensional image, the image measurement sensor unit 130 obtains a three-dimensional image of the livestock and then calculates the area and/or volume (volume) of the three-dimensional image. It can be output as data. As another example, the image measurement sensor unit 130 may distinguish the head or body of a livestock in a two-dimensional or three-dimensional image and output the area or volume of the head or body as appearance data. The method of generating a two-dimensional or three-dimensional image of an object using a two-dimensional or three-dimensional sensor and the method of distinguishing specific parts (head, body, legs, etc.) from livestock images are already widely known methods, so they are conventional methods. Various methods can be applied to this embodiment, and it is not limited to any one method.

Figure 7 is a diagram illustrating an example of a method for determining the thickness of back fat of livestock according to an embodiment of the present invention.

Referring to FIG. 7, the livestock weight measuring device may further include a fat thickness detection unit that determines the back fat thickness based on the isometric angle (θ ₂ ) of the livestock. The fat thickness detection unit may be implemented as a software module in a computing device. Isometric angle is the angle formed by two line segments when a line drawn from the animal's back to both sides at a predefined height meets the livestock.

When the weight measurement unit measures the weight of the livestock based on the external appearance data of the livestock, the fat thickness determination unit determines the isometric angle of the livestock from the external appearance data and calculates the back fat thickness according to the isometric angle. For example, in the case of pigs, the wider the isoscopic angle, the thicker the back fat, and the narrower the isoscopic angle, the thinner the back fat.

As an example, a function representing the relationship between isometry and back fat thickness can be defined in advance and then input isometry into the function to calculate back fat thickness. However, since the relationship between isometry and back fat thickness does not necessarily have a linear relationship, there are limitations in defining the exact relationship between isometry and back fat thickness using functions.

In another embodiment, the livestock weight measurement device can use an artificial intelligence model to more accurately calculate back fat thickness according to isometric angles. The artificial intelligence model for predicting back fat thickness is reviewed again in FIG. 12.

Figure 8 is a diagram showing a case where a livestock weight measuring device according to an embodiment of the present invention is installed in a livestock shed.

Referring to Figure 8, the livestock weight measuring device may be installed on one side of the livestock shed. For example, when installing a livestock weight measuring device on one wall of a livestock shed, a holder 160 can be installed on the wall, and an image measurement sensor 130 and a drinking fountain (or feeder) 110 can be installed on the holder. there is.

The camera 120 of the trekking unit may be installed on one side of the wall or ceiling to capture images of the entire livestock farm. In another embodiment, the trekking unit may overlap and photograph the livestock barn using a plurality of cameras to ensure that there are no blind spots within the livestock barn.

Figure 9 is a flowchart showing an example of a method for measuring livestock body weight according to an embodiment of the present invention. The livestock weight measuring device may include a computing device in which a software module for control is implemented along with structures such as the salpin frame unit 100 shown in FIGS. 1 to 4. The control method of this embodiment may be performed by a computing device.

Referring to Figure 9, the livestock weight measuring device determines whether livestock has entered the frame unit (S900). For example, a livestock weight measuring device can determine whether livestock has entered the frame through real-time tracking using images captured by a camera. As another example, the livestock weight measuring device can determine whether livestock has entered the frame unit through the image measurement sensor unit.

The livestock weight measuring device identifies livestock that has entered the frame unit (S910). For example, if livestock enters the frame for the first time, the livestock weight measuring device gives identification information to the livestock and tracks the livestock's location and movement in real time based on the captured video. As another example, if the livestock has previously entered the frame unit, the livestock weight measuring device can determine the identification information previously assigned to the livestock. In other words, since the location of the livestock is tracked in real time based on the captured video, when the livestock that has been given identification information re-enters the frame unit, the livestock weight measuring device can know the identification information of the livestock.

The livestock weight measuring device measures the weight of the livestock entering the frame unit, maps it to the livestock's identification information, and stores it (S920). Livestock weight measurement devices identify livestock through real-time tracking of livestock, so there is no need to paint the backs of livestock or attach separate tags to identify livestock.

This embodiment is an example and shows an example of providing identification information when a new livestock enters the frame unit. In another embodiment, the livestock weight measuring device distinguishes a plurality of livestock in the camera's captured image and determines the location of each livestock in real time, so when the entry of new livestock is recognized in the captured video, identification information is immediately provided to the newly entered livestock. can do.

When existing livestock leaves the camera's shooting range and then re-enters (for example, when they go out of the barn and then re-enter), the livestock weight measuring device can treat the existing livestock as new livestock and give identification information. As another example, so that the previous identification information can be given to existing livestock, the livestock weight measuring device presents the user with identification information for livestock that has disappeared from the captured video when new livestock enters the frame or the captured video, and the user You can select any one of the existing identification information. In other words, the livestock weight measuring device can provide a user interface that allows the user to provide identification information for each livestock.

Figure 10 is a diagram showing an example of a method for storing and managing weight information of livestock by a livestock weight measuring device according to an embodiment of the present invention.

Referring to FIG. 10, the livestock weight measuring device can store and manage various information such as livestock weight information (1010) and activity level (1020) by mapping livestock identification information (1000). For example, when the livestock weight measuring device measures the weight of livestock, it can map weight information 1010, including measurement date and weight, with livestock identification information 1000 and store it cumulatively. As another example, a livestock weight measuring device tracks the location and movement of livestock in real time, so it determines the amount of activity (1020), energy consumption, behavior patterns, etc., including the distance the livestock moves during a certain period of time, and provides weight information (1010) You can save and manage them together. Since livestock identification information (1000) and weight information (1010) are stored and managed cumulatively, health indicators such as disease signs can also be measured.

Figure 11 is a flowchart showing an example of a method for preventing a specific entity from monopolizing the drinking fountain (feeder) of a livestock weight measuring device according to an embodiment of the present invention.

Referring to Figure 11, the livestock weight measuring device identifies livestock that has entered the frame unit (S1100). The livestock weight measuring device determines whether the livestock has been re-entered before a predefined elapsed time based on the livestock's identification information (S1100). For example, when the livestock weight measuring device measures the weight of livestock that has entered the frame unit, it stores and manages it cumulatively as shown in Figure 10, so it is possible to determine how long ago the livestock entered the frame unit based on the identification information of the currently entered livestock. You can. The elapsed time may be set to various values depending on the embodiment.

The livestock weight measuring device controls the drinking fountain (feeder) not to supply drinking water, etc. through the supply control unit if the same livestock re-enters the frame unit before the predefined elapsed time (S1120). The livestock weight measuring device provides drinking water from the drinking fountain (feeder) only to livestock that entered the frame unit after an elapsed time (S1130), preventing certain strong individuals from monopolizing the drinking fountain (feeder). there is.

Figure 12 is a diagram showing an example of a back fat prediction model for determining the back fat thickness of livestock according to an embodiment of the present invention.

Referring to FIG. 12, the back fat prediction model 1200 is an artificial intelligence model that predicts and outputs the back fat thickness of livestock when external appearance data is input. The back fat prediction model 1200 can be implemented with various conventional artificial neural networks such as CNN (Convolutional Neural Network).

As an example, the back fat prediction model 1200 may be an artificial intelligence model that predicts and outputs the back fat thickness when the iso angle is input. In this case, the back fat prediction model 1200 can be learned using learning data including the isometric angle and back fat thickness.

In another embodiment, the back fat prediction model 1200 may be an artificial intelligence model that outputs back fat thickness when it receives external appearance data (i.e., 2-dimensional or 3-dimensional image, etc.) of livestock that is not isometric. In this case, the back fat prediction model 1200 can be learned using training data including appearance data and back fat thickness.

In another embodiment, the back fat prediction model 1200 is an artificial intelligence model that outputs the back fat thickness when the amount of activity (e.g., movement amount, feed intake, or energy consumption, etc.) is input along with the isometric angle (or appearance data). You can. The amount of activity is a value determined through real-time location tracking of livestock, as described in Figure 10. The back fat prediction model 1200 is learned with learning data including isometry (or appearance data), activity level, and back fat thickness.

So far, the present invention has been examined focusing on its preferred embodiments. A person skilled in the art to which the present invention pertains will understand that the present invention may be implemented in a modified form without departing from the essential characteristics of the present invention. Therefore, the disclosed embodiments should be considered from an illustrative rather than a restrictive perspective. The scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within the equivalent scope should be construed as being included in the present invention.

100: frame part 102: guide part
110: Drinking fountain (or feeder) 115: Supply control unit
120: Camera 130: Image measurement sensor unit

Claims (11)

A frame portion including a frame forming a certain width;
A drinking fountain or feeder for attracting livestock into the frame part;
A trekking unit that identifies and tracks the movement of livestock in images captured by a camera; and
A livestock weight measuring device comprising a weight measuring unit that measures the weight of livestock entering the frame unit. The method of claim 1, wherein the weight detection unit,
A livestock weight measuring device characterized in that the weight of the livestock is stored and managed by mapping it with the identification information of the livestock identified by the trekking unit. The method of claim 1, wherein the tracking unit,
A livestock weight measuring device characterized by assigning identification information to livestock newly entering the frame unit and tracking the movement of livestock to which the identification information has been assigned in real time through the captured video. According to clause 1,
The tracking unit determines whether the livestock that entered the frame unit re-entered the frame unit before a predefined elapsed time through real-time tracking of the livestock,
A livestock weight measuring device further comprising a supply control unit that stops supply of the drinking fountain or feeder when the same livestock re-enters the frame unit before the elapsed time. According to clause 1,
A livestock weight measuring device, characterized in that the nipple of the drinking fountain or feeder is bent at a predetermined angle in the inner direction of the frame portion to enable intake only in the inner direction of the frame portion. According to clause 1,
A livestock weight measuring device, characterized in that the drinking fountain or feeder is fixed with a chain or rope so that when the livestock pushes it, it is pushed outward from the frame portion. According to clause 1,
A livestock weight measuring device characterized in that it further includes a fat thickness detection unit that determines the back fat thickness based on the isometric angle of the livestock measured through at least one image measurement sensor unit. According to clause 1,
Back fat prediction model that predicts back fat thickness based on activity level and appearance data; and
A fat thickness detection unit that determines the back fat thickness of the livestock by inputting the livestock activity amount identified based on the movement of the livestock identified by the trekking unit and the appearance data of the livestock identified through the image measurement sensor unit into the back fat prediction model; A livestock weight measuring device further comprising: A step of assigning identification information to livestock entering a frame portion in which a space of a certain width is formed;
Determining the weight of the livestock;
mapping and storing the weight of the livestock with the identification information; and
A livestock weight measurement method comprising: tracking the movement of the livestock in real time based on images captured by a camera to determine whether the livestock has re-entered the frame unit. According to clause 9,
Measuring the appearance of livestock through at least one image measurement sensor unit; and
A livestock weight measurement method characterized in that it further comprises a step of determining back fat thickness based on the isometric angle determined based on the external appearance of the livestock. According to clause 9,
Determining whether livestock that has entered the frame unit re-enters the frame unit before a predefined elapsed time through real-time tracking of livestock; and
Unless the same livestock re-enters the frame unit before the elapsed time, providing supply to a drinking fountain or feeder located in the frame unit. A livestock weight measuring method comprising a.

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