WO2021085806A1

WO2021085806A1 - Method for providing livestock feeding management guide on basis of livestock specification standard

Info

Publication number: WO2021085806A1
Application number: PCT/KR2020/009859
Authority: WO
Inventors: 박지환; 천선일
Original assignee: (주)씽크포비엘
Priority date: 2019-10-31
Filing date: 2020-07-29
Publication date: 2021-05-06
Also published as: KR102355681B1; KR20210051860A

Abstract

Provided is a method, for providing a guide in accordance with a feeding management standard for livestock being bred, which is carried out on a computer system. The method comprises the steps of: storing a feeding management standard; receiving one or more first sensing data items from one or more sensors provided in a barn, wherein the first sensing data items are temperature and humidity; receiving one or more second sensing data items from one or more sensors provided on livestock, image data of the livestock, a plurality of biometric data items of the livestock and a plurality of genetic information items of the livestock, wherein the second sensing data items are current sensing data for measuring body composition and weight sensor data of a feed box, the image data of the livestock comprises lateral-side and rear-side images of the livestock, a spine process image of the livestock, an image from the spine processes to the transverse processes of the livestock, an image of the transverse processes of the livestock, an image of the flank protrusion of the livestock, an image of the hip joint protrusions and ischium protrusions of the livestock, an image between the ischia and hip joints of the livestock, an image between the hip joints of the livestock and an image from the tail head part to the ischium protrusions of the livestock, and the biometric data items comprise the age in months, breed, pregnancy state and gender information of the livestock; receiving real-life video data of the livestock, wherein the real-life video data comprises videos of livestock feeding, walking, sleeping and moving and a cleaning state of the barn; and calculating a body condition score (BCS) of the livestock on the basis of the image data of the livestock.

Description

How to provide livestock breeding management guide based on livestock specification standards

The present disclosure relates to a method of providing a livestock breeding management guide based on livestock specification standards.

In the situation where most of the feed eaten by livestock is imported from foreign countries, maximizing the productivity of livestock products by classifying nutrients without excess or shortage in livestock through scientific and precise specification is a very important issue in improving the competitiveness of the livestock industry. Advanced livestock countries have feed feeding guidelines suitable for their own breeding environment, such as the NRC in the United States, ARC in the UK, and JFS in Japan, and a country's feed feeding guidelines are sometimes considered as indicators of the level of livestock in that country. .

The Korean Livestock Specification Standard was established and distributed for the first time in 2002 as a feed supply guideline to increase the productivity of livestock. It aims to immunize livestock and establish a stable production base.

Korea has made a lot of efforts for 15 years in academia and research institutes to make a lot of development of the Korean livestock specification standard, but due to the limited number of data collected due to its short history, In comparison, it is true that there are many points to be improved. Increasing the precision of the specification standard may be a matter of how large data can be collected and how much data can be collected, but the spread of ICT technology has created a technical environment for collecting data.

However, more diverse items of data are expected to be necessary for not only productivity, but also for precision specification, livestock immunity, and stable production base, which was focused in the past, and research on what data affects it is necessary.

On the other hand, the Korean Livestock Specification Standard is a guide to help farmers raise livestock.It is difficult for farmers to raise livestock according to the standard, and the reality is that there are cases where each farmer has a breeding standard based on experience. Quite a few. As the direction of the revision of the Korean livestock specification standard is expanded for the purpose of providing precision specifications, livestock immunity, and a stable production base in addition to productivity, the difficulties that farmers face in raising according to the established livestock specification standards may increase.

Therefore, there is a need for farmers to easily apply livestock specification standards, receive guides suitable for the current situation of livestock, and provide methods for convenient and efficient breeding of livestock.

In addition, for precise specifications, it is necessary to provide a method for analyzing the growth and disease of livestock based on more diverse data.

According to one feature of the present disclosure, there is provided a method of providing a guide according to a specification management standard for livestock being reared, performed on a computer system. The method of the present disclosure comprises the steps of storing a specification management standard, receiving one or more first sensing data from one or more sensors installed in a livestock house-each of the first sensing data is temperature and humidity-and one or more installed in livestock One or more second sensing data from a sensor-The second sensing data is current sensing data for measuring body composition, weight sensor data of a feed container -, image data of the livestock, a plurality of biometric characteristic data related to the livestock-of the livestock The image data includes side and rear images of the livestock, an image of a spinal process of the livestock, an image of a yellow process in the spinal process of the livestock, an image of the yellow process of the livestock, an image of a jaw on the side of the livestock, and an image of the hip joint of the livestock. A sciatic process image, an image between the sciatic bone and the hip joint of the livestock, an image between the hip joint of the livestock, and an image of the sciatic process at the tail root of the livestock, and the biometric characteristic data includes the age of the livestock, breed, and pregnancy status. , And including sex information -, and receiving a plurality of genetic information about the livestock, real life video data of the livestock-feeding feed image, gait image, sleep image, moving image, cleaning state of the livestock Including-receiving, based on the image data of the livestock may include the step of calculating the body condition score (BCS) of the livestock.

According to an embodiment of the present disclosure, the step of providing a guide according to the specification management standard for providing guide contents determined according to the specification management standard based on the received biometric characteristic data of livestock and the calculated body fidelity index. It may further include.

According to an embodiment of the present disclosure, the content of the guide is generated using a machine learning prediction technique based on data on the livestock, and the data on the livestock is a current feed intake state of the livestock, and the intake of the livestock. Ingredients of one feed, the breeding area of the livestock, the health status of the livestock, and the gait type data of the livestock, and the result value is to classify the guide items and provide a guide according to the feeding management standard to be taken according to each judgment It may further include a step.

According to an embodiment of the present disclosure, by receiving an input from an expert analyzed based on real life video data of the livestock, first and second sensing data, image data of the livestock, and a plurality of biometric characteristic data related to the livestock, It may further include the step of providing the opinion of the expert.

According to an embodiment of the present disclosure, the step of deriving behavior information of the corresponding livestock based on the first and second sensing data, image data, and biometric characteristic information and determining abnormal behavior of the corresponding livestock may be further included. .

According to another feature of the present disclosure, a computer-readable recording medium containing one or more computer-readable instructions executable by a computer, wherein the one or more computer-readable instructions, when executed by the computer, cause the computer to: There is provided a computer-readable recording medium for performing any one of the above-described methods.

According to the present disclosure, farmers can easily apply livestock specification standards, receive a guide suitable for the current situation of livestock, and carry out livestock breeding conveniently and efficiently.

In addition, according to the present disclosure, it is possible to establish a precision livestock specification system.

In addition, according to the present disclosure, it is possible to find a problem situation of livestock such as diseases based on the precision livestock specification system.

In addition, according to the present disclosure, farmers and veterinarians who are related to livestock breeding can participate together to develop livestock productivity and build a platform capable of maximizing mutual benefit.

1 is a view schematically showing the overall configuration of a livestock breeding management guide platform 100 according to an embodiment of the present disclosure.

FIG. 2 is a functional block diagram showing an exemplary functional configuration of the livestock farm management server 150 of FIG. 1.

3 is a functional block diagram showing an exemplary functional configuration of the livestock farming terminal 130 of FIG. 1.

Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. Hereinafter, when it is determined that there is a possibility that the subject matter of the present disclosure may be unnecessarily obscured, detailed descriptions of already known functions and configurations will be omitted. In addition, it should be understood that the contents described below are only related to an embodiment of the present disclosure, and the present disclosure is not limited thereto.

The terms used in this specification are only used to describe specific embodiments and are not intended to limit the present disclosure. For example, a component expressed in the singular should be understood as a concept including a plurality of components unless the context clearly means only the singular. In addition, in the specification of the present disclosure, terms such as'include' or'have' are only intended to designate the existence of features, numbers, steps, actions, components, parts, or a combination thereof described in the specification. The use of the term is not intended to exclude the possibility of the presence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

In the embodiments described herein, a'block' or'unit' means a functional part that performs at least one function or operation, and may be implemented as hardware or software, or a combination of hardware and software. In addition, a plurality of'blocks' or'units' may be integrated into at least one software module and implemented as at least one processor, except for'blocks' or'units' that need to be implemented with specific hardware. .

In addition, unless otherwise defined, all terms used in this specification, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. Terms defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and are not interpreted by being excessively limited or extended unless clearly defined otherwise in the specification of the present disclosure. You should know.

Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

1 is a view schematically showing the overall configuration of a livestock breeding management guide platform 100 according to an embodiment of the present disclosure. As shown, livestock breeding management guide platform 100, a plurality of sensor sets (110a, 110b, ... 110n) consisting of n sensors, a plurality of cameras (120a, 120b, ... 120n), livestock Through the farm terminal 130, the communication network 140, the expert terminal 160, and the communication network 140, the sensor set (110a, 110b), cameras (120a, 120b, ... 120n), the livestock farm terminal ( 130), and a livestock farm management server 150 connected to the expert terminal 160.

According to an embodiment of the present disclosure, the sensor set 110a may be a single set consisting of n sensors of various types mounted in various places of the livestock barn to collect environmental information of the livestock barn. According to an embodiment of the present disclosure, each sensor constituting the sensor set 110a may include a temperature sensor for measuring the temperature of the house, and a humidity sensor for measuring the humidity of the house.

According to an embodiment of the present disclosure, the sensor set 110b may be a set consisting of n sensors of different types mounted on different livestock, such as cows, cows, pigs, and the like. According to an embodiment of the present disclosure, each sensor constituting the sensor set 110b applies a predetermined current to a living body (bovine body) and measures electrical resistance according to the predetermined current that can be used to analyze the body composition of the living body. It may be an electrical resistance sensor. According to an embodiment of the present disclosure, values measured by each sensor of a sensor set attached to one cow can be used to analyze the body composition value of the cow, that is, body water, body fat, and muscle mass, bone content, etc. have.

According to an embodiment of the present disclosure, each of the n sensors of the sensor set 110b may include different frequencies (eg, 5KHz, 1MHz, 20MHz, etc.) for each component analysis, but is limited thereto. Not). According to an embodiment of the present disclosure, each of the n sensors of the sensor set 110b is attached to a predetermined position of each cow (eg, a predetermined position on the back of a cow) to measure current, voltage, resistance, or impedance at the corresponding position. You can measure the value.

According to an embodiment of the present disclosure, each sensor of the sensor set (110a, 110b) is communicatively coupled with the communication network 140, and transmits each measured value to an external (eg, livestock farm management server 150). I can. As shown in this figure, the livestock breeding management guide platform 100 is shown to have two sensor sets (110a, 110b), but the present disclosure is not limited thereto. It should be noted that according to another embodiment of the present disclosure, a greater number of sensor sets attached to a greater number of livestock may be included in the livestock breeding management guide platform 100

According to an embodiment of the present disclosure, the camera 120 is for photographing the state of livestock managed by a livestock farm, and any electronic device such as an image photographing camera, a video photographing camera, and a CCTV camera having a wired or wireless communication function. Can be

According to an exemplary embodiment of the present disclosure, the camera 120 may photograph an image of the livestock itself, an image of a walk of the livestock, a sleep image, a motion image, an amount of feed consumed, a cleaning state of a livestock house, and the like. As shown in this figure, the livestock breeding management guide platform 100 is shown to have two cameras (120a, 120b), but the present disclosure is not limited thereto.

According to an embodiment of the present disclosure, the livestock farm terminal 130 is a terminal for a livestock farm manager, and may be any user electronic device having a wired or wireless communication function. It should be noted that the livestock farming terminal 130 may be various wired or wireless communication terminals including, for example, smart phones, tablet PCs, desktops, laptops, PDAs, digital TVs, and set-top boxes, and is not limited to a specific form. In this drawing, only one livestock farming terminal 130 is shown, but the present disclosure is not limited thereto.

According to an embodiment of the present disclosure, the farm manager may input and store/manage information related to each livestock managed by the farm through the livestock farm terminal 130. According to an embodiment of the present disclosure, the farm manager may input data on a plurality of images (eg, side and rear images, etc.) of each livestock managed by the farm on the livestock farm terminal 130, for example. According to an embodiment of the present disclosure, the farm manager is, for example, on the livestock farm terminal 130, a plurality of biometric characteristic data for each livestock managed by the farm, for example, when the livestock is a cow, the month age, breed, and pregnancy of each cow Status, and gender information, such as but not limited to, can be entered. According to an embodiment of the present disclosure, the farm manager is, for example, on the livestock farm terminal 130, a plurality of genetic information data about each cow managed by the farm, for example, the sub-genetic capacity of each cow, the sub-genetic capacity Fat thickness, such as belly longest muscle cross-section, sub-hereditary ability, etc., sub-hereditary capacity intramuscular fat, mother hereditary ability cold car weight, mother heritable ability, mother hereditary ability, fat thickness, etc., and mother heritable ability intramuscular fat degree, etc. Not) can be entered.

According to another embodiment of the present disclosure, the livestock farm terminal 130, from an external separate database (not specifically shown) through the communication network 140, biometric characteristic information and genetic information of each cow managed by the farm Etc. can be obtained. For example, in the case of Korean cattle, there is a database of Korean cattle managed by the government or local governments. According to an embodiment of the present disclosure, the farmhouse manager of the Korean cattle livestock farmer uses the livestock farmer terminal 130 to obtain himself/herself from an external Korean cattle database. You can get the necessary information about each cattle in the farmhouse (but the present disclosure is not limited thereto).

According to an embodiment of the present disclosure, the livestock farming terminal 130 may communicate with the livestock farming management server 150, that is, transmit and receive necessary information through the communication network 140. According to an embodiment of the present disclosure, the livestock farming terminal 130, through the communication network 140, provides various information related to each cow managed by the farm, such as image information, biometric characteristic information, genetic information, etc. Information may be transmitted to the livestock farm management server 150. According to an embodiment of the present disclosure, the livestock farming terminal 130 may receive information about the cattle from the livestock farming management server 150, for example, guide contents according to livestock specification standards, through the communication network 140. have. According to an embodiment of the present disclosure, the livestock farm terminal 130, through the communication network 140, from the livestock farm management server 150, information about the cattle, such as body composition value prediction information, grade prediction information, time series It is possible to receive grade change prediction information, and optimal shipping time information. According to an embodiment of the present disclosure, the livestock farming terminal 130 may display various types of information received from the livestock farming management server 150 through a display.

According to an embodiment of the present disclosure, the livestock farming terminal 130 may communicate with the expert terminal 160, that is, transmit and receive necessary information through the communication network 140. According to an embodiment of the present disclosure, the livestock farming terminal 130, through the communication network 140, provides various information related to each cow managed by the farm, such as image information, biometric characteristic information, genetic information, etc. Information may be transmitted to the expert terminal 160. According to an embodiment of the present disclosure, the livestock farming terminal 130 receives information about the cattle from the expert terminal 160, for example, a professional guide (prescription) for the corresponding livestock, through the communication network 140 can do.

According to an embodiment of the present disclosure, the communication network 140 may include any wired or wireless communication network, such as a TCP/IP communication network. According to an embodiment of the present disclosure, the communication network 104 may include, for example, a Wi-Fi network, a LAN network, a WAN network, an Internet network, and the like, and the present invention is not limited thereto. According to an embodiment of the present disclosure, the communication network 140 is, for example, Ethernet, GSM, EDGE (Enhanced Data GSM Environment), CDMA, TDMA, OFDM, Bluetooth, VoIP, Wi-MAX, Wibro and other various wired or wireless It can be implemented using a communication protocol.

According to an embodiment of the present disclosure, the livestock farm management server 150 may receive each measurement information from each sensor of the sensor sets 110a and 110b through the communication network 140. According to an embodiment of the present disclosure, the livestock farming management server 150 may transmit and receive necessary information with the livestock farming terminal 130 through the communication network 140.

According to an embodiment of the present disclosure, the livestock farm management server 150 receives each measurement and sensing data received from each sensor of the sensor sets 110a and 110b, and image data and biometric data for each cow corresponding thereto. Feature information may be received from the livestock farming terminal 130. According to an embodiment of the present disclosure, the livestock farm management server 150 may determine the livestock environment, such as temperature and humidity of the livestock, based on the received sensing data, image data, and biometric feature information. According to an embodiment of the present disclosure, the livestock farm management server 150 is based on the received sensing data, image data, and biometric characteristic information, based on the breeding environment of the corresponding livestock, for example, the type and amount of feed for the livestock, and the daily water intake. , It is possible to judge the cleaning status of the livestock where the livestock stays. According to an embodiment of the present disclosure, the livestock farm management server 150 may calculate the body fidelity index (Body, Condition Score: BCS) of the corresponding livestock based on the received sensing data, image data, and biometric characteristic information. have. According to an embodiment of the present disclosure, the livestock farm management server 150 may derive behavior information of a corresponding livestock based on the received sensing data, image data, and biometric characteristic information and determine abnormal behavior of the corresponding livestock. .

According to an embodiment of the present disclosure, the livestock farm management server 150 may include a guide generation model capable of guiding breeding according to a guideline according to a specification management standard. According to an embodiment of the present disclosure, the livestock farm management server 150 is a guide generation model that identifies the current state of livestock and generates a breeding guide suitable for the current state, based on big data collected by various methods. It may include.

According to an embodiment of the present disclosure, the expert terminal 160 is a terminal for a livestock expert, such as a veterinarian, and may be any user electronic device having a wired or wireless communication function. It should be noted that the expert terminal 160 may be various wired or wireless communication terminals including, for example, smart phones, tablet PCs, desktops, laptops, PDAs, digital TVs, and set-top boxes, and is not limited to a specific form. In this drawing, only one expert terminal 160 is shown, but the present disclosure is not limited thereto.

According to an embodiment of the present disclosure, a livestock expert may receive information related to each livestock managed by a corresponding farm through the expert terminal 160 and transmit the analyzed information. According to an exemplary embodiment of the present disclosure, an expert may receive data on a plurality of images (eg, side and rear images, etc.) of each livestock managed by a corresponding farm, on the expert terminal 160, for example. According to an embodiment of the present disclosure, a livestock expert is, for example, on the expert terminal 160, a plurality of biometric characteristic data for each livestock, for example, when the livestock is a cow, the month age, breed, pregnancy status, and sex information of each cow, etc. (But not limited by this). According to an embodiment of the present disclosure, a livestock expert is, for example, on the expert terminal 160, a plurality of genetic information data for each livestock, for example, sub-heritable ability of each cow, cold carcass weight, sub-heritable ability, longest near cross-sectional area, sub-heritage Capability back fat thickness, sub-hereditary capability intramuscular fat degree, mother hereditary capability cold car weight, mother hereditary capability double-longest muscle cross-section, mother hereditary capability back fat thickness, and mother hereditary capability intramuscular fat degree, etc., but are not limited thereto. I can. According to another embodiment of the present disclosure, the expert terminal 160, through the communication network 140, from an external separate database (not specifically shown), biometric characteristic information and genetic information of each cow managed by a corresponding farmhouse, etc. Can be obtained.

According to an embodiment of the present disclosure, the expert terminal 160 may communicate with the livestock farm management server 150, that is, transmit and receive necessary information through the communication network 140. According to an embodiment of the present disclosure, the expert terminal 160 stocks information related to each cow managed by a corresponding farm through the communication network 140, such as image information, biometric characteristic information, genetic information, etc. It can be received from the farm management server 150.

According to an embodiment of the present disclosure, the expert terminal 160 may display various types of information received from the livestock farm management server 150 through a display.

According to an embodiment of the present disclosure, the expert terminal 160 may communicate with the livestock farm management server 150, that is, transmit necessary information through the communication network 140. According to an embodiment of the present disclosure, the expert terminal 160 may transmit an expert's opinion and a professional guide (prescription) as a result of analyzing information received through the communication network 140. According to an exemplary embodiment of the present disclosure, the expert terminal 160 may receive and transmit an expert's opinion based on a result of the expert's analysis by synthesizing all livestock images, images, and feed feeding records from the expert. . For example, the expert may analyze the status of the livestock based on the feces image of the livestock, water intake information, and behavioral images, and input the analysis result using the expert terminal 160.

FIG. 2 is a functional block diagram showing an exemplary functional configuration of the livestock farming management server 150 shown in FIG. 1. As shown, the livestock farm management server 150, the communication unit 210, the livestock environment determination unit 220, the breeding environment determination unit 230, abnormal behavior determination unit 240, the body fidelity index (BCS) determination A unit 250 and a guide content generation unit 260 may be included.

According to an embodiment of the present disclosure, the communication unit 210 may support the livestock farm management server 150 to communicate with the outside through the communication network 140. According to an embodiment of the present disclosure, the communication unit 210 may receive data from the communication network 140 according to a predetermined protocol, and data is transmitted from the livestock farm management server 150 to the outside through the communication network 140. You can perform the necessary procedures to be transmitted.

According to an embodiment of the present disclosure, the livestock environment determination unit 220 may determine the environment of the livestock house based on, for example, temperature and humidity data. According to an embodiment of the present disclosure, the livestock environment determination unit 220 is, through the communication network 140 and the communication unit 210, sensing data received from the sensor set 110a of FIG. 1, that is, a temperature sensor installed in the livestock house. Alternatively, sensing data from the humidity sensor may be received. According to an embodiment of the present disclosure, the livestock environment determination unit 220 may periodically receive sensing data from a plurality of temperature sensors or humidity sensors installed in the livestock house through the communication network 140 and the communication unit 210. .

According to an embodiment of the present disclosure, the received sensing data may be used as an input value for machine learning to guide contents of a guide suitable for a current situation for livestock.

According to an exemplary embodiment of the present disclosure, the breeding environment determination unit 230 may determine the breeding environment based on, for example, the type and amount of feed feed, the amount of water intake per day, and the cleaning state data of the livestock house. According to an embodiment of the present disclosure, the breeding environment determination unit 230, through the communication network 140 and the communication unit 210, sensing data received from the sensor sets 110a and 110b of FIG. 1, that is, a given livestock or Data collected through sensors and cameras 120 installed around livestock may be received. Those skilled in the art are aware of various previously devised methods and various modifications to determine the type and amount of feed feed, the amount of water intake per day, and the cleaning state of the house, so the detailed description will be omitted below.

According to an embodiment of the present disclosure, the abnormal behavior determination unit 240 may determine whether or not the abnormal behavior is based on the behavior information of livestock. For example, the abnormal behavior determination unit 240 may determine whether the behavior of the livestock is out of the normal range based on the gait image, sleep data, and motion data of the livestock.

According to an embodiment of the present disclosure, the Body Condition Score (BCS) determination unit 250 may calculate the body integrity index based on the image of the livestock. Here, the body fidelity index is an index indicating the fidelity of the body.For example, in the case of cows, it is calculated as 1-5 points, where 1 is the worst physical condition, 5 means the best physical condition, and usually 3 points is a special problem. Judging that there is no state. The industry is using the body fidelity index as an evaluation criterion for maintaining the proper nutritional status of livestock. For example, in the industry, the body fidelity index is used for breeding efficiency improvement of livestock, milking cow management, fertility management, etc., and now farmers calculate the physical fidelity index by looking at the condition of cows based on their experience and calculating scores. have.

According to an embodiment of the present disclosure, the body fidelity index (BCS) determination unit 250 includes, for example, the appearance of the spinal process of a cow, the shape of the yellow process in the spinal process, the shape of the yellow process, the degree of jaw squeeze of the side, Body fidelity index can be calculated by analyzing images of hip and sciatic processes, between sciatic and hip joints, between hip joints, and sciatic processes at the tail root. In one embodiment, the body fidelity index (BCS) determination unit 250 analyzes the input image through a machine learning algorithm, calculates a score for each image, and calculates the score for each area (region) in each image. The final physical fitness index can be calculated using. Those skilled in the art are well aware of various methods and various modifications for analyzing images through machine learning algorithms, so detailed descriptions will be omitted.

According to an embodiment of the present disclosure, the guide content generation unit 260 includes a livestock environment determination unit 220, a breeding environment determination unit 230, an abnormal behavior determination unit 240, a body fidelity index (BCS) determination unit ( 250) can generate guide content based on the analysis results.

For example, when the BCS index of a specific calf is 1.5 as a result of analysis by the body fidelity index (BCS) determination unit 250, the guide content generation unit 260 Information on what actions to take in farms can be created as guide content. In one embodiment, when it is determined that the calf has not been provided with an appropriate feed based on the information generated by the breeding environment determination unit 230, the guide content generation unit 260 Guide information such as "You have to pay more than OO" can be generated and transmitted to the livestock farming terminal 130 through the communication unit 210. In another embodiment, when the guide content generation unit 260 determines that the calf has a low BCS index due to a disease based on the information generated by the abnormal behavior determination unit 240, “OOO vaccine should be administered to OOO. Guide information such as "may be generated and transmitted to the livestock farming terminal 130 through the communication unit 210.

According to an embodiment of the present disclosure, the guide content generation unit 260 may generate the guide content as determined according to the context or index without special analysis based on conditions based on the information of the livestock specification standard or the stored database.

According to another embodiment of the present disclosure, the guide content generation unit 260 includes the surrounding environment (cold and hot), the current feed intake state of the livestock, the ingredients of the feed currently consumed by the livestock, the breeding area of the livestock, the health state, and the feces state. The guide content suitable for the current situation can be generated by learning through machine learning using judgment information such as, gait type, etc. as an input value. For example, it is possible to learn by using judgment items as input values, classifying guide items, and mapping guide contents for each classification that may be taken according to each judgment.

According to an embodiment of the present disclosure, the storage unit 270 includes various types of information on a plurality of livestock managed by a farm, such as sensor information, image information, biometric characteristic information, and genetic information received from the livestock farm terminal 130. It may be a database that stores and the like. According to an embodiment of the present disclosure, the storage unit 270 may be a database that stores livestock breeding management standard information.

3 is a functional block diagram showing an exemplary functional configuration of the livestock farming terminal 130 shown in FIG. 1. As shown, the livestock farming terminal 130 includes a communication unit 310, a feature data input unit 320, and a display unit 330.

According to an embodiment of the present disclosure, the communication unit 310 may support the livestock farming terminal 130 to communicate with the outside through the communication network 140. According to an embodiment of the present disclosure, the communication unit 310 may receive data from the communication network 140 according to a predetermined protocol, and data is transmitted from the livestock farm terminal 130 to the outside through the communication network 140 If possible, you can perform the necessary procedures.

According to an embodiment of the present disclosure, the feature data input unit 320 includes various types of data input devices including a predetermined data input device, such as a keyboard, a touch pad, a touch screen, a mouse, a scanner, a trackball, and a camera. can do. According to an embodiment of the present disclosure, through the feature data input unit 320, the farm manager may input and store/manage information related to each livestock managed by the farm. According to an embodiment of the present disclosure, the farmhouse manager may input data on a plurality of images (eg, side and rear images, etc.) regarding each cow managed by the farmhouse on the small feature data input unit 320, for example. . According to an embodiment of the present disclosure, the farmhouse manager, for example, on the characteristic data input unit 320, a plurality of biometric characteristic data about each livestock managed by the farmhouse, such as the age of the cow, breed, pregnancy status, and sex information, etc. (But not limited by this) can be entered. According to an embodiment of the present disclosure, the farm manager is, for example, on the feature data input unit 320, a plurality of genetic information data about each cow managed by the farm house, for example, the sub-genetic capacity of each cow, the sub-genetic capacity Fat thickness, such as belly longest muscle cross-section, sub-hereditary ability, etc., sub-hereditary capacity intramuscular fat, mother hereditary ability cold car weight, mother heritable ability, mother hereditary ability, fat thickness, etc., and mother heritable ability intramuscular fat degree, etc. Not) can be entered.

According to another embodiment of the present disclosure, the livestock farm terminal 130, from an external separate database (not specifically shown) through the communication network 140, biometric characteristic information and genetic information of each livestock managed by the farm. Etc. can be obtained. For example, in the case of Korean cattle, there is a database of Korean cattle managed by the government or local governments. According to an embodiment of the present disclosure, the farmhouse manager of the Korean cattle livestock farmer uses the livestock farmer terminal 130 to obtain himself/herself from an external Korean cattle database. You can get the necessary information about each cattle in the farmhouse (but the present disclosure is not limited thereto).

According to an embodiment of the present disclosure, the display unit 330 may include various display devices such as LCD, LED, and touch screen. According to an embodiment of the present disclosure, the display unit 330 includes various types of information received from the livestock farm management server 150 through the communication network 140 and the communication unit 310, for example, on the aforementioned livestock farm management server 150. It is possible to receive and display the acquired guide content. According to an embodiment of the present disclosure, the display unit 330 may receive guide information on a specific livestock from the livestock farm management server 150 through the communication network 140 and the communication unit 310, and receive the received information. It can be visualized and displayed on the display of the display unit 330. According to an embodiment of the present disclosure, the display unit 330 may receive information from the livestock farm management server 150 through the communication network 140 and the communication unit 310, and display the received information through the display. I can.

As will be appreciated by those skilled in the art, the present disclosure is not limited to the examples described herein, and various modifications, reconfigurations, and substitutions may be made without departing from the scope of the present disclosure. For example, the various techniques described herein may be implemented by hardware or software, or a combination of hardware and software. Accordingly, a specific aspect or part of an analysis machine for software safety analysis according to the present disclosure may be implemented as one or more computer programs executable by a general-purpose or dedicated microprocessor, micro-controller, or the like. A computer program according to an embodiment of the present disclosure includes a storage medium readable by a computer processor, such as EPROM, EEPROM, a nonvolatile memory such as a flash memory device, a magnetic disk such as an internal hard disk and a removable disk, a magneto-optical disk, and It can be implemented in a form stored in various types of storage media, including a CDROM disk. In addition, the program code(s) may be implemented in assembly language or machine language, and may be implemented in a form transmitted through electrical wiring, cabling, optical fiber, or any other type of transmission medium.

In this specification, although exemplary embodiments have been mainly described with reference to various drawings, other similar embodiments may be used. It is intended to cover all modifications and changes belonging to the true spirit and scope of the present disclosure by the following claims.

110: sensor

120: camera

130: livestock farm terminal

140: communication network

150: livestock farm management server

160: expert terminal

Claims

As a method of providing a guide according to the specification management standard for livestock in breeding performed on a computer system,

Storing the specification management standard,

Receiving one or more first sensing data from one or more sensors installed in a livestock house-each of the first sensing data is temperature and humidity,

One or more second sensing data from one or more sensors installed in livestock-The second sensing data is current sensing data for measuring body composition, weight sensor data of a feed container -,

The image data of the livestock, a plurality of biometric characteristic data related to the livestock- The image data of the livestock is a side and rear image of the livestock, an image of a spine process of the livestock, an image of a yellow process in the spine process of the livestock, the livestock The image of the yellow process of the cattle, the image of the jaw of the side of the livestock, the image of the hip and sciatic process of the livestock, the image between the sciatic bone and the hip joint of the livestock, the image between the hip joint of the livestock, the image of the sciatic process at the tail root of the livestock Including,

The biometric characteristic data includes information on the age, breed, pregnancy status, and sex of the livestock -, and receiving a plurality of genetic information about the livestock,

Receiving real life video data of the livestock-including feed feeding images, gait images, sleep images, moving images, and cleaning status of the livestock house,

Calculating a body condition score (BCS) of the livestock based on the image data of the livestock,

A method of providing a guide according to the specification management standard including a.
The method of claim 1,

According to the specification management standard, further comprising the step of providing a guide according to the specification management standard that provides guide contents determined according to the specification management standard based on the received biometric characteristic data of livestock and the calculated body fidelity index. How to provide a guide.
The method of claim 1,

The above method is

Further comprising the step of providing a guide according to the specification management standard,

The content of the guide is generated using a machine learning prediction technique based on the data on the livestock, and the data on the livestock is the current feed intake status of the livestock, the ingredients of the feed consumed by the livestock, and the breeding of the livestock. A method of providing a guide according to the specification management standard, which is the data of the region, the health status of the livestock, and the gait type of the livestock, and the result value is the guide item according to the specification management standard to be taken according to each judgment. .
The method of claim 3,

The step of receiving an expert's input analyzed based on the real life video data of the livestock, first and second sensing data, the image data of the livestock, and a plurality of biometric characteristic data related to the livestock and providing the expert's opinion A method of providing a guide according to the specification management standard that further includes.
The method of claim 4,

A method of providing a guide according to a specification management standard, further comprising the step of deriving behavior information of a corresponding livestock based on the first and second sensing data, image data, and biometric characteristic information and determining abnormal behavior of the corresponding livestock.
A computer-readable recording medium containing one or more computer-readable instructions executable by a computer, wherein the one or more computer-readable instructions, when executed by the computer, cause the computer to: A computer-readable recording medium for carrying out the method according to any one of the preceding claims.