Intelligent livestock feeding system and method

Abstract

The invention discloses an intelligent livestock feeding system and method, and the method comprises the steps: obtaining the form size information and weight information of livestock after the livestock enters a feeding channel based on the intelligent livestock feeding system; a breeding database obtains feeding data, shape and size information and weight information of livestock from an industrial personal computer, and a feeding model is constructed and continuously optimized for each livestock based on big data analysis and a machine learning algorithm; after the livestock arrives near the feeding device, the feeding device sends ear tag information to the industrial personal computer, the industrial personal computer obtains a feeding scheme of the livestock from a breeding database according to the ear tag information, and the industrial personal computer is used for controlling the feeding device to feed according to the feeding scheme; the industrial personal computer is used for controlling the automatic water dispenser to supply water automatically. According to the embodiment of the invention, highly-intelligent precise breeding and health monitoring of livestock postures are realized, and the breeding efficiency and the livestock health level can be effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital farming, in particular to a livestock intelligent feeding system and method. BACKGROUND

[0002] In the current cattle industry, traditional feeding methods mainly rely on manual experience and cannot accurately control the feed intake of each cow. Cows at different growth stages, different body weights and health conditions require different nutrients, but traditional manual feeding is difficult to provide personalized supply, which not only causes feed waste, but also affects the growth and health of the cows

[0003] For the body condition monitoring of cows, there is currently a lack of effective means. Farmers can only roughly observe the fatness of the cows by the naked eye and cannot accurately obtain the body size data of the cows, making it difficult to detect abnormal body conditions of the cows early and miss the best intervention and treatment opportunity, affecting the overall quality of the cow herd and the breeding efficiency.

[0004] In terms of water drinking of cows, fixed water troughs are usually provided for the cows to drink freely, without scientific supply according to the actual feed intake of the cows. This may lead to insufficient drinking water of the cows affecting digestion and health, or excessive drinking water causing water resource waste and breeding environment humidity, increasing the risk of disease transmission.

[0005] Therefore, it is urgent to invent a livestock intelligent feeding method to solve the problems of insufficient intelligent degree, difficult body condition monitoring and unscientific drinking water management of existing livestock intelligent feeding methods. SUMMARY

[0006] Therefore, the embodiments of the present application provide a livestock intelligent feeding system and method to at least partially solve the problems in the prior art.

[0007] Other characteristics and advantages of the present application will become apparent from the following detailed description, or will be learned by practice of the present application.

[0008] In order to achieve the above-mentioned purpose, the embodiments of the present application provide the following technical solutions:

[0009] According to a first aspect of the embodiments of the present application, a livestock intelligent feeding system is provided, the system comprising:

[0010] a feeding channel, a feeding device, an information acquisition device, an industrial computer, an automatic drinking water device and a breeding database;

[0011] The feeding device is arranged at the outlet end of the feeding channel;

[0012] The information acquisition device comprises an image acquisition device, a weighing sensor and an rfid ear tag reading and writing antenna;

[0013] The image collector and the weighing sensor are arranged at the entrance end of the feeding channel, and the image collector and the weighing sensor are connected with the industrial computer, the image collector is used for acquiring the morphological size image of the livestock and sending the morphological size image to the industrial computer, and the weighing sensor is used for acquiring the weight information of the livestock and sending the weight information of the livestock to the industrial computer;

[0014] The rfid ear tag read-write antenna is arranged at one side close to the exit end in the feeding channel, the rfid ear tag read-write antenna is connected with the feeding device, and the rfid ear tag read-write antenna is used for reading the ear tag information of the livestock and sending the ear tag information to the feeding device.

[0015] The breeding database is connected with the industrial computer, the breeding database is used for acquiring the feeding data, morphological size information and weight information of the livestock from the industrial computer, and constructing and continuously optimizing the feeding model for each livestock based on big data analysis and machine learning algorithm;

[0016] The industrial computer is connected with the feeding device, and the industrial computer is used for controlling the feeding device to discharge according to the feeding scheme acquired from the breeding database after receiving the ear tag information fed back by the feeding device.

[0017] The automatic drinking device is connected with the industrial computer, and the automatic drinking device is used for automatically supplying water to the drinking trough under the control of the industrial computer.

[0018] Further, the feeding device comprises a feeding controller and a feed weighing sensor.

[0019] The feeding controller is connected with the rfid ear tag read-write antenna and the industrial computer respectively, the feeding controller is used for sending the received ear tag information to the industrial computer, and discharging under the control of the industrial computer.

[0020] The feed weighing sensor is connected with the industrial computer, and is used for monitoring the feed feeding amount and the livestock feeding amount in real time, and feeding the feed feeding amount and the livestock feeding amount to the industrial computer.

[0021] Further, the system further comprises a radar sensor, the radar sensor is arranged at the entrance end of the feeding channel, the radar sensor is connected with the industrial computer, and the radar sensor is used for starting the industrial computer to control the image collector and the weighing sensor to operate.

[0022] Further, the image collector comprises a depth camera and a general camera.

[0023] The depth camera is used for acquiring three-dimensional point cloud data of the livestock, and the general camera is used for acquiring the image of the livestock.

[0024] Further, the automatic drinking device comprises a liquid level sensor arranged in the drinking trough.

[0025] The liquid level sensor is used to monitor the water level of the drinking trough in real time, and the water supply is adjusted according to the water level of the drinking trough.

[0026] The liquid level sensor is also used to monitor the drinking water of the livestock, and the drinking water of the livestock is stored in the breeding database through the industrial computer.

[0027] According to a second aspect of the embodiment of the present application, an intelligent livestock feeding method is provided, which comprises:

[0028] Based on the intelligent livestock feeding system according to any one of the above;

[0029] After the livestock enters the feeding channel, the image collector is used to acquire the livestock image, and the livestock image is sent to the industrial computer for processing to obtain the shape size information of the livestock.

[0030] The weight sensor is used to acquire the weight information of the livestock, and the weight information is sent to the industrial computer.

[0031] The feeding data, shape size information and weight information of the livestock are acquired from the industrial computer by the breeding database, and the feeding model is constructed and continuously optimized for each livestock based on big data analysis and machine learning algorithm.

[0032] After the livestock reaches the vicinity of the feeding device, the rfid ear tag reading and writing antenna is used to read the ear tag information of the livestock, and the ear tag information is sent to the feeding device.

[0033] The feeding device sends the ear tag information to the industrial computer, and the industrial computer acquires the historical body data and feeding scheme of the livestock from the breeding database according to the ear tag information, wherein the feeding scheme is generated by the feeding model corresponding to the livestock in the breeding database.

[0034] The industrial computer is used to control the feeding device to discharge according to the feeding scheme.

[0035] The industrial computer is used to control the automatic drinking device to automatically supply water.

[0036] Further, the industrial computer is used to control the automatic drinking device to automatically supply water, which comprises:

[0037] The industrial computer is used to control the automatic drinking device to automatically supply water according to the preset ratio of feed and water and the feeding amount of the livestock fed back by the feeding device.

[0038] Receiving the livestock water consumption quantity fed back by the automatic water drinking device, and storing the livestock water consumption quantity to the breeding database.

[0039] Further, the method further comprises:

[0040] Calculating the body size parameter of the livestock by using the industrial computer according to the three-dimensional point cloud data obtained by the depth camera of the image collector;

[0041] Performing feature analysis by using the body size parameter in combination with the livestock image collected by the ordinary camera of the image collector to obtain a feature analysis result, and the feature analysis result is used to judge whether the body state of the livestock is normal;

[0042] Comparing the feature analysis result with the historical body state data to obtain a body state change trend of the livestock;

[0043] Storing the feature analysis result and the body state change trend to the breeding database for long-term growth condition analysis of the livestock.

[0044] Further, the feeding data comprises the feeding amount, water consumption amount and feeding time of the livestock.

[0045] Further, the method further comprises:

[0046] Performing real-time analysis on the collected livestock data by using the breeding database, and obtaining the health condition of the livestock according to the feeding data and the body state change trend of the livestock;

[0047] If the health condition of the livestock is abnormal, an alarm information is sent to the user.

[0048] The livestock intelligent feeding system and method provided by the embodiment of the present application realize the individualized feeding and water drinking management of each livestock, effectively improve the feed utilization rate, reduce the breeding cost, and promote the healthy growth of the livestock. Through the health detection of the livestock, the embodiment of the present application can timely find the body state abnormality of the livestock, provide a basis for disease prevention and treatment, reduce the disease transmission risk, and thus improve the overall health level of the livestock. The embodiment of the present application effectively reduces the manual intervention in the breeding process, improves the breeding efficiency, can adapt to the demand of modern breeding, and improves the intelligent level of the breeding industry. BRIEF DESCRIPTION OF DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of the provided drawings.

[0050] Figure 1 A structural schematic diagram of a livestock intelligent feeding system is provided for an embodiment of the present application.

[0051] Figure 2 A flowchart of a livestock intelligent feeding method is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0052] In order to make the personnel in the technical field better understand the present application scheme, the technical scheme in the embodiment of the present application will be described clearly and completely in the following with reference to the drawings in the embodiment of the present application. Obviously, the described embodiment is only a part of the embodiment of the present application, not all. Based on the embodiment in the present application, all other embodiments obtained by the person skilled in the art without creative labor should belong to the scope of protection of the present application.

[0053] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0054] Figure 1 A structural schematic diagram of a livestock intelligent feeding system is provided for an embodiment of the present application.

[0055] As shown in Figure 1 The livestock intelligent feeding system includes a feeding channel, a feeding device, an information acquisition device, an industrial computer, an automatic drinking water device and a breeding database.

[0056] Specifically, the feeding device is arranged at the outlet end of the feeding channel.

[0057] The information acquisition device includes an image collector, a weighing sensor and an rfid ear tag read-write antenna. The image collector and the weighing sensor are both arranged at the inlet end of the feeding channel. The image collector and the weighing sensor are both connected with the industrial computer. The image collector is used to acquire the morphological size image of the livestock and send the morphological size image to the industrial computer. The weighing sensor is used to acquire the body weight information of the livestock and send the body weight information to the industrial computer.

[0058] The rfid ear tag read-write antenna is arranged at one side near the outlet end in the feeding channel. The rfid ear tag read-write antenna is connected with the feeding device. The rfid ear tag read-write antenna is used to read the ear tag information of the livestock and send the ear tag information to the feeding device.

[0059] The breeding database is connected with the industrial computer, and the breeding database is used for obtaining the feeding data, shape size information and weight information of the livestock from the industrial computer, and constructing and continuously optimizing a feeding model for each livestock based on big data analysis and machine learning algorithm, so as to provide a more scientific basis for precise feeding.

[0060] Specifically, the breeding database can be used to continuously collect data such as the weight, body shape, feeding amount, water consumption, and feeding time habit of the cattle. By using big data analysis and machine learning algorithm, a personalized feeding model for each cow is automatically generated. According to the data such as the daily and monthly diet amount and weight change of the cattle, the model continuously calculates and samples, and adjusts and optimizes in real time. For example, by analyzing the feeding rules of the cattle in different growth stages and different seasons, and the relationship between weight gain and feed intake, the nutritional needs of each cow in the future period of time are accurately predicted, so as to guide the precise feeding.

[0061] The breeding database can also be used for real-time analysis of the collected data. When it is found that the feeding amount and water consumption of the cattle are continuously lower than the normal level, in combination with other data such as body shape changes, it is judged that the cattle may have health problems, and alarm information is sent to the user in time. For example, if the feeding time of a cow is significantly shortened for two consecutive days, the feeding amount is reduced by more than 30%, the water consumption is reduced by more than 20%, and the body size parameters show that the weight decreases slightly, and the body shape index is abnormal, the system will determine that the cow may be ill, and immediately notify the breeder through short message, APP push and other ways, so as to check and treat in time.

[0062] The industrial computer is connected with the feeding device, and the industrial computer is used to control the feeding device to discharge according to the feeding scheme obtained from the breeding database after receiving the ear tag information fed back by the feeding device.

[0063] The automatic water drinking device is connected with the industrial computer, and the automatic water drinking device is used to automatically supply water to the water trough under the control of the industrial computer. The automatic water drinking device comprises a liquid level sensor arranged in the water trough; the liquid level sensor is used to monitor the water level of the water trough in real time, adjust the water supply according to the water level of the water trough, and automatically stop water supply when the water level reaches the set value; when the water level is too low, the water is automatically replenished; the liquid level sensor is also used to monitor the water consumption of the livestock, and store the water consumption of the livestock to the breeding database through the industrial computer.

[0064] The feeding controller is connected with the rfid ear tag read-write antenna and the industrial computer, and the feeding controller is used to send the received ear tag information to the industrial computer, and discharge under the control of the industrial computer. The feed weighing sensor is connected with the industrial computer, and is used to monitor the feed feeding amount and the livestock feeding amount in real time, and feed the feed feeding amount and the livestock feeding amount back to the industrial computer, so as to ensure that the feeding amount meets the set standard.

[0065] The aforementioned image acquisition device includes a depth camera and a regular camera. The depth camera is used to acquire three-dimensional point cloud data of livestock, while the regular camera is used to acquire images of livestock.

[0066] Preferably, the system further includes a radar sensor, which is located at the entrance of the feeding channel and connected to an industrial control computer. The radar sensor is used to start the industrial control computer to control the operation of the image acquisition unit and the weighing sensor.

[0067] Figure 2 The diagram shows a flowchart of an intelligent livestock feeding method provided by an embodiment of the present invention.

[0068] Based on the intelligent livestock feeding system described above, feeding channels, feeding devices, information acquisition devices, industrial control computers, automatic drinking devices, and related equipment for the livestock breeding database are installed in suitable locations within the cattle shed. The image acquisition device, weighing sensor, RFID ear tag reader / writer antenna, and feeding controller are calibrated and debugged to ensure normal operation. Parameters such as the feed-to-water ratio, standard feeding amount, and body condition assessment threshold are set and entered into the industrial control computer. Simultaneously, the cattle breeding database is initialized, establishing the data storage structure and analysis model framework.

[0069] like Figure 2 As shown, the intelligent livestock feeding method according to an embodiment of the present invention may include steps S100, S200, S300, S400, S500 and S600.

[0070] In step S100, after the livestock enter the feeding channel, an image acquisition device is used to acquire images of the livestock, and the images are sent to the industrial control computer for processing to obtain the morphological and dimensional information of the livestock.

[0071] In step S200, the weight information of the livestock is obtained using a weighing sensor and then sent to the industrial control computer.

[0072] In step S300, the livestock feeding data, morphological size information and weight information of the livestock are obtained from the industrial control computer by the breeding database, and a feeding model is built and continuously optimized for each animal based on big data analysis and machine learning algorithms.

[0073] Specifically, the above feeding data includes the amount of feed consumed, the amount of water consumed, and the time of feeding.

[0074] We continuously collect data on cattle's weight, body condition, feed intake, water consumption, and feeding habits using a livestock database. Then, using big data analytics and machine learning algorithms, we automatically generate personalized feeding models for each cow. These models are continuously calculated and sampled based on daily and monthly data on feed intake and weight changes, and are adjusted and optimized in real time.

[0075] For example, by analyzing the feeding habits of cattle at different growth stages, different seasons, and the relationship between weight gain and feed intake, the nutritional needs of each cow in the future can be accurately predicted, thereby guiding precise feeding.

[0076] In step S400, after the livestock reaches the vicinity of the feeding device, the ear tag information of the livestock is read by the rfid ear tag read-write antenna, and the ear tag information is sent to the feeding device.

[0077] In step S500, the feeding device sends the ear tag information to the industrial computer, and the industrial computer obtains the historical body condition data and the feeding scheme of the livestock from the breeding database according to the ear tag information.

[0078] Specifically, the above steps include:

[0079] The above-mentioned feeding scheme is generated by the feeding model corresponding to the livestock in the breeding database

[0080] In step S600, the industrial computer is used to control the feeding device to discharge according to the feeding scheme, and the industrial computer is used to control the automatic waterer to automatically supply water.

[0081] Specifically, the industrial computer is used to control the automatic waterer to automatically supply water, including:

[0082] The industrial computer is used to control the automatic waterer to automatically supply water according to the preset ratio of feed and water and the feeding amount of the livestock fed back by the feeding device, receive the water consumption of the livestock fed back by the automatic waterer, and store the water consumption of the livestock in the breeding database.

[0083] Preferably, the above method further includes:

[0084] The industrial computer is used to calculate the body size parameters of the livestock according to the three-dimensional point cloud data obtained by the depth camera of the image collector;

[0085] The feature analysis result is obtained by using the body size parameters in combination with the livestock image collected by the ordinary camera of the image collector, and the feature analysis result is used to judge whether the body condition of the livestock is normal;

[0086] The body condition change trend of the livestock is obtained by comparing the morphological size information and the historical body condition data;

[0087] The feature analysis result and the body condition change trend are stored in the breeding database for long-term growth condition analysis of the livestock.

[0088] Preferably, the above method further comprises: using the breeding database to analyze the collected livestock data in real time, obtaining the health condition of the livestock according to the feeding data and the body state change trend of the livestock; and if the health condition of the livestock is abnormal, sending an alarm information to the user. For example, if a cow's feeding time is significantly shortened for two consecutive days, the feeding amount is reduced by more than 30%, the water consumption is reduced by more than 20%, and the body size parameter shows that the body weight decreases slightly, and the body state index is abnormal, the system will determine that the cow may be ill, and immediately notify the breeder through short message, APP push and other ways, so as to timely check and treat.

[0089] The industrial computer performs preliminary processing on the collected data such as the weight, body state, feeding amount and water consumption of the cow, and transmits the data to the breeding database for storage and deep analysis. The breeder can access the breeding database through a computer or a mobile terminal to view the detailed data of each cow and understand the growth condition and health trend of the cow. According to the data analysis result, the feeding scheme and breeding management strategy are adjusted to further optimize the breeding effect. For example, by analyzing the growth data of the whole cow group, it is found that the weight of the cow increases slowly at a certain stage, and the feed formula and feeding time can be adjusted accordingly; for the abnormal data of individual cows, health check and intervention are carried out in time.

[0090] In addition, the system is regularly maintained, the equipment running condition is checked, the sensor and the feeding device are cleaned, and the accuracy and stability of the system are ensured. At the same time, the storage capacity and running efficiency of the cow breeding database are paid attention to, and data backup and system optimization are carried out in time.

[0091] The intelligent feeding system and method for livestock provided by the embodiment of the present application realize the individualized feeding and water management of each livestock, effectively improve the feed utilization rate, reduce the breeding cost, and promote the healthy growth of the livestock. Through the health detection of the livestock, the embodiment of the present application can timely find the body state abnormality of the livestock, provide a basis for disease prevention and treatment, reduce the disease transmission risk, and thus improve the overall health level of the livestock. The embodiment of the present application effectively reduces the manual intervention in the breeding process, improves the breeding efficiency, can adapt to the demand of modern breeding, and improves the intelligent level of the breeding industry.

[0092] Those skilled in the art should be able to understand that in one or more of the above examples, the functions described in the present application can be implemented in a combination of hardware and software. When the software is applied, the corresponding functions can be stored in a computer readable medium or transmitted as one or more instructions or codes on a computer readable medium. The computer readable medium includes computer storage medium and communication medium, wherein the communication medium includes any medium that facilitates the transfer of computer programs from one place to another. The storage medium can be any available medium that can be accessed by a general or special purpose computer. Although the present application has been described in detail above with general description and specific embodiments, some modifications or improvements can be made to the present application on the basis of the present application, which is obvious to those skilled in the art. Therefore, these modifications or improvements made without departing from the spirit of the present application are within the scope of the present application.

[0093] The above description is only the preferred embodiment of the present application, and does not limit the present application in any form. Those skilled in the art can make some simple modifications, equivalent changes or modifications to the disclosed technical content, which are within the scope of the present application.

Claims

1. Livestock intelligent feeding system, characterized in that, The system comprises a feeding channel, a feeding device, an information acquisition device, an industrial computer, an automatic water drinking device and a breeding database; The feeding device is arranged at the outlet end of the feeding channel; The information acquisition device comprises an image acquisition device, a weighing sensor and an rfid ear tag read-write antenna; The image acquisition device and the weighing sensor are arranged at the inlet end of the feeding channel, and are connected with the industrial computer; the image acquisition device is used to acquire the shape and size image of the livestock and send the shape and size image to the industrial computer, and the weighing sensor is used to acquire the weight information of the livestock and send the weight information to the industrial computer; The rfid ear tag read-write antenna is arranged on one side near the outlet end in the feeding channel, and is connected with the feeding device; the rfid ear tag read-write antenna is used to read the ear tag information of the livestock and send the ear tag information to the feeding device; The breeding database is connected with the industrial computer, and is used to acquire the feeding data, shape and size information and weight information of the livestock from the industrial computer, and construct and continuously optimize the feeding model for each livestock based on big data analysis and machine learning algorithm; The industrial computer is connected with the feeding device, and is used to control the feeding device to discharge according to the feeding scheme acquired from the breeding database after receiving the ear tag information fed back by the feeding device; The automatic water drinking device is connected with the industrial computer, and is used to automatically supply water to the water trough under the control of the industrial computer; The automatic water drinking device comprises a liquid level sensor arranged in the water trough; The liquid level sensor is used to monitor the water level of the water trough in real time, and adjust the water supply according to the water level of the water trough; The liquid level sensor is also used to monitor the water drinking amount of the livestock, and store the water drinking amount of the livestock to the breeding database through the industrial computer; The industrial computer is used to control the automatic water drinking device to automatically supply water according to the preset proportion of feed and water and the feeding amount of the livestock fed back by the feeding device.

2. The intelligent livestock feeding system of claim 1, wherein, The feeding device comprises a feeding controller and a feed weighing sensor; The feeding controller is connected with the rfid ear tag read-write antenna and the industrial computer respectively, and is used to send the received ear tag information to the industrial computer and discharge under the control of the industrial computer; The feed weighing sensor is connected with the industrial computer, and is used to monitor the feed feeding amount and the feeding amount of the livestock in real time, and feed back the feed feeding amount and the feeding amount of the livestock to the industrial computer.

3. The smart livestock feeding system of claim 1, wherein, The system further comprises a radar sensor arranged at the inlet end of the feeding channel, which is connected with the industrial computer and is used to start the industrial computer to control the image acquisition device and the weighing sensor to operate.

4. The intelligent livestock feeding system of claim 1, wherein, The image acquisition device comprises a depth camera and a general camera; The depth camera is used to acquire three-dimensional point cloud data of the livestock, and the general camera is used to acquire images of the livestock.

5. A livestock intelligent feeding method, characterized in that, The method comprises: The livestock intelligent feeding system based on any one of claims 1 to 4; After the livestock enters the feeding channel, an image collector is used to acquire a livestock image, and the livestock image is sent to an industrial computer for processing to obtain livestock form size information; A weighing sensor is used to acquire livestock weight information, and the weight information is sent to the industrial computer; The feeding database acquires livestock feeding data, form size information, and weight information from the industrial computer, and constructs and continuously optimizes a feeding model for each livestock based on big data analysis and machine learning algorithms; After the livestock reaches the vicinity of the feeding device, an rfid ear tag reading and writing antenna is used to read the ear tag information of the livestock, and the ear tag information is sent to the feeding device; The feeding device sends the ear tag information to the industrial computer, which acquires historical body condition data and a feeding plan for the livestock from the breeding database according to the ear tag information, wherein the feeding plan is generated by the feeding model corresponding to the livestock in the breeding database; The industrial computer controls the feeding device to discharge according to the feeding plan; The industrial computer controls the automatic water drinking device to automatically supply water.

6. A method of intelligent feeding of livestock as claimed in claim 5, wherein, The industrial computer controls the automatic water drinking device to automatically supply water, comprising: The industrial computer controls the automatic water drinking device to automatically supply water according to the preset ratio of feed to water and the feeding amount of the livestock fed back by the feeding device; The industrial computer receives the water drinking amount of the livestock fed back by the automatic water drinking device and stores the water drinking amount of the livestock in the breeding database.

7. A method of intelligent feeding of livestock as claimed in claim 5 wherein, The method further comprises: The industrial computer calculates the body size parameters of the livestock according to the three-dimensional point cloud data acquired by the depth camera of the image collector; The industrial computer performs feature analysis on the livestock image collected by the ordinary camera of the image collector using the body size parameters to obtain a feature analysis result, wherein the feature analysis result is used to determine whether the body condition of the livestock is normal; The industrial computer compares the form size information and the historical body condition data to obtain a body condition change trend of the livestock; The industrial computer stores the feature analysis result and the body condition change trend in the breeding database for long-term growth condition analysis of the livestock.

8. The method of claim 5, wherein the animal is a pig. The feeding data includes the feeding amount, water drinking amount, and feeding time of the livestock.

9. The method of claim 5, wherein the animal is a pig. The method further comprises: The breeding database performs real-time analysis on the collected livestock data to obtain the health condition of the livestock according to the feeding data and the body condition change trend of the livestock; If the health condition of the livestock is abnormal, an alarm information is sent to the user.

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