Image recognition-based accurate nutritional feeding method and system for cattle and sheep

Abstract

The invention relates to the technical field of animal husbandry, in particular to a cattle and sheep precise nutrition feeding method and system based on image recognition, the system comprises an equipment part and a processing system, the equipment part is in signal connection with the processing system, and the processing system comprises a cattle and sheep information management unit and a personalized feeding unit. The personalized feeding unit comprises a stage feeding subunit, a dynamic feeding subunit and a disease detection feeding subunit, and the disease detection feeding subunit comprises a nose tip monitoring module, a behavior acquisition module, a physical sign acquisition module and a disease feeding adjustment module; the method comprises the following steps: S1, data collection and database establishment; S2, data updating; and S3, personalized feeding. According to the method, information such as growth stages and nutritional requirements of the cattle and the sheep is managed, monitoring and evaluation of health states of the cattle and the sheep are combined, more scientific and reasonable daily ration formulas and feeding strategies are formulated, appropriate nutritional support is provided for the cattle and the sheep, and health problems of the cattle and the sheep are rapidly judged and solved.

Description

Technical Field

[0001] The present invention relates to the technical field of animal husbandry, and in particular to a method and system for precise nutritional feeding of cattle and sheep based on image recognition. Background Art

[0002] In the current animal husbandry, especially in the cattle and sheep farming field, in order to improve feeding efficiency and production benefits, a feeding method with a high degree of mechanization and automation is generally adopted.

[0003] However, despite the convenience brought by mechanized and automated feeding methods, in actual breeding, many farms often formulate cattle and sheep diets based on experience or traditional feeding standards, lacking precise control of the nutritional needs of cattle and sheep at different growth stages. This extensive feeding method may not only lead to feed waste, but also affect the normal growth and health of cattle and sheep due to insufficient or excessive nutrition, ultimately reducing breeding efficiency.

[0004] In addition, the particularity of sick cattle and sheep poses a major challenge to precision feeding. As the health status of sick cattle and sheep is affected, their appetite, digestive ability and nutritional needs will change significantly. However, the existing feeding system is often unable to capture these changes in time and make reasonable feeding adjustments accordingly, which may result in the sick cattle and sheep being unable to obtain appropriate nutritional support, which in turn aggravates the condition and even leads to death.

[0005] Therefore, it is necessary to propose a method and system for precise nutritional feeding of cattle and sheep based on image recognition, which can realize accurate monitoring and evaluation of the growth stage, health status and nutritional needs of cattle and sheep, so as to formulate more scientific and reasonable diet formulas and feeding strategies, and improve feed utilization and breeding efficiency. Summary of the invention

[0006] To solve the above problems, the present invention provides a method and system for precise nutritional feeding of cattle and sheep based on image recognition. By managing information such as the growth stage and nutritional needs of cattle and sheep, and combining the monitoring and evaluation of the health status of cattle and sheep, more scientific and reasonable daily diet formulas and feeding strategies are formulated to provide cattle and sheep with appropriate nutritional support, and to quickly judge and solve the health problems of cattle and sheep.

[0007] In order to achieve the above-mentioned purpose, the technical scheme of the present invention is as follows: a precise nutritional feeding system for cattle and sheep based on image recognition, comprising an equipment part and a processing system, the equipment part and the processing system are connected by signal, the equipment part comprises a nose camera, a vital sign camera, a behavior camera and a plurality of electronic ear tags, the nose camera is installed on the feeding trough of cattle and sheep, and the electronic ear tags are worn on the ears of each cattle and sheep; The processing system includes a cattle and sheep information management unit and a personalized feeding unit for managing basic information of each cattle and sheep; The personalized feeding unit includes a phase feeding subunit, a dynamic feeding subunit and a disease detection feeding subunit; The stage feeding subunit is used to adjust different feed ratios for feeding according to the different growth stages of cattle and sheep; Dynamic feeding subunit, used to adjust different feed ratios for feeding according to the actual growth conditions of cattle and sheep; The disease detection and feeding subunit includes a nose monitoring module, a behavior collection module, a physical sign collection module, and a disease feeding adjustment module; The nose tip monitoring module is used to receive the nose tip images of cattle and sheep collected by the nose tip camera and determine the proportion of water drops in the image. When the ratio of the water drop area to the nose tip area of ​​the corresponding cattle and sheep is greater than or equal to 55%, it indicates that the gastrointestinal health of the cattle and sheep is good. On the contrary, when the ratio of the water drop area to the nose tip area of ​​the corresponding cattle and sheep is less than 55%, it indicates that the health risk level of the cattle and sheep is higher than the threshold. The nose tip monitoring module records the electronic ear tag information of the cattle or sheep and sends a monitoring signal to conduct further detection and analysis on the cattle or sheep. A behavior collection module is used to receive monitoring signals and monitor the behavior information of the corresponding cattle or sheep through a behavior camera according to the recorded electronic ear tag information; The vital sign collection module is used to receive monitoring signals and collect the vital sign changes of the corresponding cattle or sheep through the vital sign camera according to the recorded electronic ear tag information; The sick feeding adjustment module is used to judge and analyze the abnormalities in the information based on the changes in the physical signs and behavioral information of the cattle or sheep. When the cattle or sheep have multiple abnormalities, the feeding management personnel are reminded to conduct health checks on the cattle and sheep and adjust the total amount of feed and the ratio of feed.

[0008] Further, the cattle and sheep information management unit includes a data collection and database establishment module and a data update module; The data collection and database establishment module is used to collect the age, weight, growth stage, body length and body width of each cattle or sheep, and establish an individual information data group corresponding to the number of cattle or sheep, and match it with the electronic ear tags of the corresponding cattle or sheep through wireless radio frequency identification technology; The data update module is used to collect the physical characteristics of each cattle and sheep through the physical sign camera, and update the age, weight, growth stage, body length and body width data of the cattle and sheep in a 24-hour cycle.

[0009] Furthermore, the growth stages of cattle and sheep include newborn cattle and sheep, weaning cattle and sheep, and fattening cattle and sheep.

[0010] Furthermore, in the stage feeding sub-unit, the age and growth stage data in the individual information data group corresponding to the electronic ear tags of cattle and sheep are extracted, and cattle and sheep at different growth stages are fed with different feed ratios. For newborn cattle and sheep, roughage is mainly fed, and the roughage is chopped before feeding; for weaning cattle and sheep, the ratio of coarse feed to concentrate is 1:1, and the coarse feed is chopped and mixed into the concentrate for feeding; for fattening cattle and sheep, the ratio of coarse feed to concentrate is 4:1, and raw materials containing protein, minerals, vitamins and trace elements are added to the concentrate.

[0011] Furthermore, in the dynamic feeding subunit, the changing trends of each data in the individual information data group of each cattle and sheep are recorded, and the growth efficiency of each cattle and sheep is calculated by comparing the growth parameters of different cattle and sheep, and the feed ratio is adjusted according to the growth efficiency.

[0012] Furthermore, in the dynamic feeding subunit, growth parameters include body length growth rate, body width growth rate, body weight growth rate and feed consumption.

[0013] Furthermore, in the behavior collection module, the behavior information includes the eating time, standing time, groaning frequency, rumination start time, rumination duration and movement posture of cattle and sheep, and the movement posture includes drooping ears, hooves kicking the belly and repeatedly shaking the head.

[0014] Furthermore, in the physical sign collection module, physical sign changes include changes in body width of cattle and sheep due to abdominal expansion, changes in body length of cattle and sheep due to back arching, and body temperature change data.

[0015] Furthermore, in the sick feeding adjustment module, abnormal behavioral indicators include a 35% or more reduction in eating time of cattle and sheep, a 40% or more reduction in standing time, a 3-4 times increase in groaning frequency, a 30% or more reduction in rumination time, a 20% or more reduction in rumination times, or abnormal behavior; abnormal physical sign indicators include a 10%-15% increase in body width of cattle and sheep, a 2%-3% decrease in body length of cattle and sheep, or a body temperature of cattle and sheep rising to above 40.4°C.

[0016] A method for accurate nutritional feeding of cattle and sheep based on image recognition, which is based on the above-mentioned accurate nutritional feeding system for cattle and sheep based on image recognition, comprises the following steps: S1, data collection and database establishment: collect the age, weight, growth stage, body length and body width of each cattle or sheep, and establish an individual information data group corresponding to the number of cattle or sheep, and match the individual information data group with the electronic ear tag of the corresponding cattle or sheep; S2, data update: collect the body characteristics of each cattle and sheep through the physical sign camera, and update the age, weight, growth stage, body length and body width data of cattle and sheep in a 24-hour cycle; S3, personalized feeding: personalized feeding for each cattle and sheep, including: S3-1, feeding by stage: according to the age and growth stage of cattle and sheep, different feed ratios are used to feed cattle and sheep at different growth stages. For newborn cattle and sheep, coarse feed is mainly fed, and the coarse feed is chopped before feeding; for weaning cattle and sheep, the ratio of coarse feed to concentrate is 1:1, and the coarse feed is chopped and mixed into the concentrate for feeding; for fattening cattle and sheep, the ratio of coarse feed to concentrate is 4:1, and raw materials containing protein, minerals, vitamins and trace elements are added to the concentrate; S3-2, adjust feeding according to growth conditions: Use data analysis tools to analyze the data in the individual information data group of cattle and sheep, and calculate the growth efficiency of each cattle or sheep by comparing the growth rate of body length, body width, weight and feed consumption of different cattle and sheep. Then adjust the feed ratio of the corresponding cattle or sheep according to age and growth stage; S3-3, Feeding adjustment for sick cattle and sheep: Conduct disease testing on each cattle and sheep to determine whether they have gastrointestinal diseases. After confirming the disease, feed adjustment is made, including: S3-3-1, nose tip image acquisition: The nose tip image of each cattle or sheep is collected through the nose tip camera and transmitted to the nose tip monitoring module to determine the proportion of water droplets in the image. When the ratio of the water droplet area to the nose tip area of ​​the corresponding cattle or sheep is greater than or equal to 55% calculated by analyzing the nose tip image, it indicates that the gastrointestinal health of the cattle or sheep is good. On the contrary, when the ratio of the water droplet area to the nose tip area of ​​the corresponding cattle or sheep is less than 55%, it indicates that the health risk level of the cattle or sheep is higher than the threshold. The nose tip monitoring module records the electronic ear tag information of the cattle or sheep and sends a monitoring signal to conduct further monitoring and analysis of the cattle or sheep. S3-3-2, cattle and sheep behavior collection: After receiving the monitoring signal, the behavior collection module monitors the corresponding cattle or sheep's eating time, standing time, groaning frequency, rumination start time, rumination duration, and movement posture through the behavior camera according to the recorded electronic ear tag information. The movement posture includes drooping ears, hooves kicking the belly, and repeated shaking of the head; S3-3-3, Collection of Vital Signs of Cattle and Sheep: After receiving the monitoring signal, the vital sign collection module collects the vital sign changes of the corresponding cattle or sheep through the vital sign camera according to the recorded electronic ear tag information. The vital sign changes include changes in body width due to abdominal expansion, changes in body length due to back arching, and body temperature changes; S3-3-4, disease confirmation and feeding adjustment: The disease feeding adjustment module conducts abnormal analysis on the cattle or sheep based on the collected behavioral indicators and physical signs. After confirming that the cattle or sheep is sick, it reminds the feeding management personnel to conduct health checks on the cattle and sheep, and adjusts the total amount of feed fed, the proportion of concentrate feed in the feed ratio, and the vitamin content in the concentrate feed.

[0017] The above scheme has the following beneficial effects: 1. This solution, through the design of disease detection and feeding sub-units, can continuously and real-time monitor the health status of cattle and sheep, and capture changes in nose moisture, abnormal behavior patterns, and fluctuations in physical sign data. Once an abnormality is detected, the system will intelligently adjust the feeding plan based on these abnormal data, and remind the breeder to conduct health checks and treatments, which will help to quickly respond to health problems of cattle and sheep, prevent the disease from worsening, and ensure the health and production benefits of cattle and sheep.

[0018] 2. Healthy cattle and sheep usually have moist noses with evenly distributed water droplets, because their nasolabial glands function normally and can continuously secrete nasal sweat. When cattle and sheep are sick, the degree of moisture and the proportion of water droplets on their noses may change. For example, during the development of the disease, cattle and sheep may experience reduced nasal sweat, dryness, or sweat that does not form beads. These changes are usually related to imbalanced temperature regulation, abnormal water metabolism, or decreased physiological function caused by certain diseases. Therefore, observing the moisture level and water droplet proportion of cattle and sheep's noses can timely detect their health problems. When the noses of cattle and sheep are dry and free of water droplets, it indicates that they may have problems such as gastrointestinal health. At this time, the nose monitoring module will immediately send a detection signal, collect more information about the health status of cattle and sheep through the physical sign camera and behavior camera, and provide a more comprehensive and accurate health assessment for the breeders through the comprehensive data information, thereby ensuring that the breeders can identify potential health problems in a timely and accurate manner and take effective intervention measures.

[0019] 3. This program can customize the most suitable feeding plan for cattle and sheep according to their growth stage and eating conditions. In terms of staged feeding, different proportions and types of feed are provided according to the different growth stages of cattle and sheep to meet their nutritional needs at different stages. In terms of dynamic feeding, the growth parameters and eating conditions of cattle and sheep are monitored in real time, and the feed ratio and feeding amount are dynamically adjusted according to these data to ensure that cattle and sheep always get the best nutritional support, which not only improves feeding efficiency, but also helps to improve the production performance and health of cattle and sheep.

[0020] 4. By designing a cattle and sheep information management unit, this solution can establish an independent individual information data set for each cattle or sheep, including its age, weight, growth stage, body length and body width information. This not only helps us to have a more comprehensive understanding of the health status and production performance of each cattle and sheep, but also provides strong support for the refined management of breeders. Breeders can formulate more targeted feeding plans and management strategies based on these data, thereby improving the orderliness and efficiency of feeding.

[0021] 5. This plan provides different feed ratios for cattle and sheep at different growth stages. Since cattle and sheep have different nutritional requirements at different growth stages, different feed ratios are designed for them according to their growth stages and nutritional requirements. The targeted feed ratio design helps to meet the nutritional requirements of cattle and sheep at different stages and promote the healthy growth and development of cattle and sheep. At the same time, it also helps to improve feed utilization and reduce feeding costs.

[0022] 6. This solution, by updating the information of cattle and sheep in real time, can ensure that the breeders always have the latest health status and production performance data of cattle and sheep, which is crucial for making decisions such as formulating feeding plans, adjusting feeding plans, and responding to emergencies. It helps managers make more scientific and reasonable decisions, thereby improving the efficiency and benefits of the entire breeding process.

[0023] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the operation of a personalized feeding unit in an embodiment of the precise nutritional feeding system for cattle and sheep based on image recognition of the present invention; Figure 2 It is a schematic diagram of the operation of the cattle and sheep information management unit in the embodiment of the cattle and sheep precise nutrition feeding system based on image recognition of the present invention; Figure 3 It is a schematic flow chart of an embodiment of the method for precise nutritional feeding of cattle and sheep based on image recognition of the present invention. DETAILED DESCRIPTION

[0025] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] The following is further described in detail through specific implementation methods: Embodiment 1:

[0028] As attached Figure 1 and Figure 2 As shown: a precise nutritional feeding system for cattle and sheep based on image recognition, including an equipment part and a processing system, the equipment part and the processing system are signal connected, the equipment part includes a nose camera, a vital sign camera, a behavior camera and several electronic ear tags, the nose camera is installed on the cattle and sheep feeding trough, the current conventional cattle or sheep feeding method usually lays the feed behind the cattle pen, and waits for the cattle and sheep to extend their heads from the feeding trough on the cattle pen to eat, so the selection of the installation position of the nose camera fully considers the natural behavior habits of cattle and sheep when eating, and ensures that the camera can capture a clear image of the nose of the cattle and sheep; the electronic ear tags are worn on the ears of each cattle and sheep, the design of the electronic ear tags is not only light and imperceptible, ensuring the naturalness and comfort of the daily activities of cattle and sheep, but also improves the uniqueness of each cattle and sheep, and the signal connection with the processing system enables each cow to have a unique identifier, which is conducive to the subsequent personalized feeding formulation for each cow, reducing resource waste and improving breeding efficiency.

[0029] The processing system includes a cattle and sheep information management unit and a personalized feeding unit for managing the basic information of each cattle and sheep.

[0030] The cattle and sheep information management unit includes a data collection and database establishment module and a data update module.

[0031] The data collection and database establishment module is used to collect the age, weight, growth stage, body length and width of each cattle and sheep, and to establish an individual information data group corresponding to the number of cattle or sheep. It is then matched with the electronic ear tags of the corresponding cattle or sheep through wireless radio frequency identification technology. The design of one electronic ear tag corresponding to the information of one cattle or sheep provides basic data support for subsequent feeding management, and also lays a solid foundation for the accurate identification and tracking management of cattle and sheep.

[0032] The data update module is used to collect the physical characteristics of each cattle and sheep through the vital sign camera, and update the age, weight, growth stage, body length and body width data of the cattle and sheep on a 24-hour basis, ensuring the timeliness of the cattle and sheep information, enabling the system to accurately capture the growth trends and changes in nutritional needs of cattle and sheep, and providing a strong basis for subsequent personalized feeding strategy adjustments.

[0033] The personalized feeding unit includes a phase feeding subunit, a dynamic feeding subunit and a disease detection feeding subunit.

[0034] The stage feeding subunit extracts the age and growth stage data from the individual information data group corresponding to the electronic ear tags of cattle and sheep, and feeds cattle and sheep at different growth stages with different feed ratios. The growth stages of cattle and sheep include newborn cattle and sheep, weaning cattle and sheep, and fattening cattle and sheep. The growth stages of cattle are divided according to the feeding amount, which can ensure that they can obtain the most appropriate nutritional support at each growth stage.

[0035] For newborn cattle and sheep, roughage is the main feed, which is chopped up before feeding. This feeding method helps newborn cattle and sheep gradually adapt to solid food and promotes the development of their digestive system.

[0036] For weaned cattle and sheep, the ratio of coarse feed to concentrated feed is 1:1, and the coarse feed is chopped up and mixed into the concentrated feed for feeding. This method not only meets the comprehensive nutritional needs of weaned cattle and sheep, but also avoids problems such as indigestion caused by sudden changes in feeding methods.

[0037] For fattening cattle and sheep, the ratio of roughage to concentrate is 4:1, and raw materials containing protein, minerals, vitamins and trace elements are added to the concentrate. This feeding method helps fattening cattle and sheep gain weight quickly, and can also improve their meat quality and health.

[0038] The dynamic feeding subunit records the changing trends of each data in the individual information data group of each cattle and sheep, and calculates the growth efficiency of each cattle and sheep by comparing the growth parameters of different cattle and sheep, including the growth rate of body length, body width, weight and feed consumption. It can not only reflect the growth status of cattle and sheep, but also reflect their nutritional needs and growth potential, and adjust the feed ratio according to the growth efficiency. For example, for cattle and sheep with higher growth efficiency, it may be recommended to increase high-protein, high-energy feed to promote their faster growth; for cattle and sheep with lower growth efficiency, it may be recommended to reduce the supply of certain nutrients, or add certain additives that help improve digestion and increase feed utilization.

[0039] The disease detection and feeding subunit includes a nose monitoring module, a behavior collection module, a vital sign collection module and a disease feeding adjustment module.

[0040] A nose tip monitoring module is used to receive nose tip images of cattle and sheep collected by nose tip cameras, and to determine the proportion of water droplets in the image. When the nose tip image is analyzed and the ratio of the water droplet area to the nose tip area of ​​the corresponding cattle and sheep is calculated to be greater than or equal to 55%, it indicates that the gastrointestinal health of the cattle and sheep is good. On the contrary, when the ratio of the water droplet area to the nose tip area of ​​the corresponding cattle and sheep is less than 55%, it indicates that the health risk level of the cattle and sheep is higher than a threshold value. The health risk level is divided into healthy and abnormal, and the threshold value is a threshold value of healthy and abnormal. When the health risk level of a cattle or sheep is higher than the threshold value, that is, when the health risk level reaches an abnormal health risk level, the nose tip monitoring module records the electronic ear tag information of the cattle or sheep and sends a monitoring signal to conduct further detection and analysis on the cattle or sheep. The behavior collection module is used to receive monitoring signals and monitor the behavior information of the corresponding cattle or sheep through the behavior camera according to the recorded electronic ear tag information. The behavior information includes the eating time, standing time, groaning frequency, rumination start time, rumination duration, and movement posture of the cattle and sheep. The movement posture includes drooping ears, hooves kicking the belly, and repeated shaking of the head.

[0041] The vital sign collection module is used to receive monitoring signals and collect the vital sign changes of the corresponding cattle or sheep through the vital sign camera according to the recorded electronic ear tag information. The vital sign changes include changes in the body width of cattle and sheep caused by abdominal expansion, changes in body length of cattle and sheep caused by back arching, and body temperature change data.

[0042] The sick feeding adjustment module is used to judge and analyze the abnormalities in each information according to the physical sign changes and behavioral information of the cattle or sheep. The abnormal behavioral indicators include a reduction of more than 35% in the eating time of cattle and sheep, a reduction of more than 40% in the standing time, a 3-4 times increase in the frequency of groaning, a reduction of more than 30% in the rumination time, a reduction of more than 20% in the number of ruminations, or abnormal behavior (i.e. abnormal movements, including drooping ears, hooves kicking the belly, and repeated shaking of the head); abnormal physical sign indicators include an increase of 10%-15% in the body width of cattle and sheep, a decrease of 2%-3% in the body length of cattle and sheep, or an increase in the body temperature of cattle and sheep to above 40.4°C. When the cattle or sheep have multiple abnormalities, the feeding management personnel are reminded to conduct health checks for the cattle and sheep and adjust the total amount of feed and the ratio of feed.

[0043] Embodiment 2:

[0044] As attached Figure 3 As shown, the difference from Example 1 is that a method for precise nutritional feeding of cattle and sheep based on image recognition is based on the precise nutritional feeding system for cattle and sheep based on image recognition described in Example 1, and comprises the following steps: S1, data collection and database establishment: collect the age, weight, growth stage, body length and body width of each cattle or sheep, and establish an individual information data group corresponding to the number of cattle or sheep, and match the individual information data group with the electronic ear tag of the corresponding cattle or sheep; S2, data update: collect the body characteristics of each cattle and sheep through the physical sign camera, and update the age, weight, growth stage, body length and body width data of cattle and sheep in a 24-hour cycle; S3, personalized feeding: personalized feeding for each cattle and sheep, including: S3-1, feeding by stage: according to the age and growth stage of cattle and sheep, different feed ratios are used to feed cattle and sheep at different growth stages. For newborn cattle and sheep, coarse feed is mainly fed, and the coarse feed is chopped before feeding; for weaning cattle and sheep, the ratio of coarse feed to concentrate is 1:1, and the coarse feed is chopped and mixed into the concentrate for feeding; for fattening cattle and sheep, the ratio of coarse feed to concentrate is 4:1, and raw materials containing protein, minerals, vitamins and trace elements are added to the concentrate; S3-2, adjust feeding according to growth conditions: Use data analysis tools to analyze the data in the individual information data group of cattle and sheep, and calculate the growth efficiency of each cattle or sheep by comparing the growth rate of body length, body width, weight and feed consumption of different cattle and sheep. Then adjust the feed ratio of the corresponding cattle or sheep according to age and growth stage; S3-3, Feeding adjustment for sick cattle and sheep: Conduct disease testing on each cattle and sheep to determine whether they have gastrointestinal diseases. After confirming the disease, feed adjustment is made, including: S3-3-1, nose tip image acquisition: The nose tip image of each cattle and sheep is collected by the nose tip camera and transmitted to the nose tip monitoring module to determine the proportion of water drops in the image. The algorithm processing of identifying water drops through the image is specifically as follows: first, using contrast enhancement, sharpening and other image enhancement techniques to improve the contrast between the water drops and the background, making the water drops more clearly visible, and then using edge detection technology (such as Canny edge detection) to detect the edge of the water drops, calculate the area of ​​the water drop region and the total area of ​​the entire cattle and sheep nose, and finally calculate the proportion of water drops; When the ratio of the water drop area to the corresponding nose area of ​​cattle and sheep calculated by analyzing the nose image is greater than or equal to 55%, it indicates that the gastrointestinal health of cattle and sheep is good. On the contrary, when the ratio of the water drop area to the corresponding nose area of ​​cattle and sheep is less than 55%, it indicates that the health risk level of cattle and sheep is abnormal. The nose monitoring module records the electronic ear tag information of the cattle or sheep and sends a monitoring signal to further monitor and analyze the cattle or sheep. In the actual life of cattle and sheep, when collecting nose images, it is inevitable to encounter some impurities and weeds adhering to the nose, or the nose of cattle and sheep touches other objects before collecting images, resulting in a decrease in the accuracy of judging water drops on the nose. Therefore, it is not realistic to analyze the disease status of cattle and sheep through nose image collection and nose wetness (water drop ratio). Therefore, this scheme designs nose wetness as the beginning of disease detection. After sending the monitoring signal, the subsequent monitoring of cattle and sheep behavior and cattle-like signs is carried out to assist in determining whether cattle and sheep are sick, improve the accuracy of detection, and reduce the probability of misjudgment. S3-3-2, cattle and sheep behavior collection: After receiving the monitoring signal, the behavior collection module monitors the corresponding cattle or sheep's eating time, standing time, groaning frequency, rumination start time, rumination duration, and movement posture through the behavior camera according to the recorded electronic ear tag information. The movement posture includes drooping ears, hooves kicking the belly, and repeated shaking of the head; S3-3-3, Collection of Vital Signs of Cattle and Sheep: After receiving the monitoring signal, the vital sign collection module collects the vital sign changes of the corresponding cattle or sheep through the vital sign camera according to the recorded electronic ear tag information. The vital sign changes include changes in body width due to abdominal expansion, changes in body length due to back arching, and body temperature changes; S3-3-4, disease confirmation and feeding adjustment: The disease feeding adjustment module conducts abnormal analysis on the cattle or sheep based on the collected behavioral indicators and physical signs. After confirming that the cattle or sheep is sick, it reminds the feeding management personnel to conduct health checks on the cattle and sheep, and adjusts the total amount of feed fed, the proportion of concentrate feed in the feed ratio, and the vitamin content in the concentrate feed.

[0045] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A precise nutritional feeding system for cattle and sheep based on image recognition, characterized in that: It includes an equipment part and a processing system. The equipment part and the processing system are connected by signals. The equipment part includes a nose camera, a vital sign camera, a behavior camera and several electronic ear tags. The nose camera is installed on the feeding trough of cattle and sheep, and the electronic ear tags are worn on the ears of cattle and sheep. The processing system includes a cattle and sheep information management unit and a personalized feeding unit for managing basic information of each cattle and sheep; The personalized feeding unit includes a phase feeding subunit, a dynamic feeding subunit and a disease detection feeding subunit; The stage feeding subunit is used to adjust different feed ratios for feeding according to the different growth stages of cattle and sheep; Dynamic feeding subunit, used to adjust different feed ratios for feeding according to the actual growth conditions of cattle and sheep; The disease detection and feeding subunit includes a nose monitoring module, a behavior collection module, a physical sign collection module, and a disease feeding adjustment module; The nose tip monitoring module is used to receive the nose tip images of cattle and sheep collected by the nose tip camera and determine the proportion of water drops in the image. When the ratio of the water drop area to the nose tip area of ​​the corresponding cattle and sheep is greater than or equal to 55%, it indicates that the gastrointestinal health of the cattle and sheep is good. On the contrary, when the ratio of the water drop area to the nose tip area of ​​the corresponding cattle and sheep is less than 55%, it indicates that the health risk level of the cattle and sheep is higher than the threshold. The nose tip module records the electronic ear tag information of the cattle or sheep and sends a monitoring signal to conduct further detection and analysis on the cattle or sheep. A behavior collection module is used to receive monitoring signals and monitor the behavior information of the corresponding cattle or sheep through a behavior camera according to the recorded electronic ear tag information; The vital sign collection module is used to receive monitoring signals and collect the vital sign changes of the corresponding cattle or sheep through the vital sign camera according to the recorded electronic ear tag information; The sick feeding adjustment module is used to judge and analyze the abnormalities in the information according to the changes in the physical signs and behavioral information of the cattle or sheep, and promptly remind the feeding management personnel to conduct health checks on the cattle and sheep and adjust the total amount of feed and the ratio of feed.

2. The image recognition-based precise nutritional feeding system for cattle and sheep according to claim 1, characterized in that: The cattle and sheep information management unit includes a data collection and database establishment module and a data update module; The data collection and database establishment module is used to collect the age, weight, growth stage, body length and body width of each cattle or sheep, and establish an individual information data group corresponding to the number of cattle or sheep, and match it with the electronic ear tags of the corresponding cattle or sheep through wireless radio frequency identification technology; The data update module is used to collect the physical characteristics of each cattle and sheep through the physical sign camera, and update the age, weight, growth stage, body length and body width data of the cattle and sheep in a 24-hour cycle.

3. The image recognition-based precise nutritional feeding system for cattle and sheep according to claim 2, characterized in that: The growth stages of cattle and sheep include newborn cattle and sheep, weaning cattle and sheep, and fattening cattle and sheep.

4. The image recognition-based precise nutritional feeding system for cattle and sheep according to claim 3, characterized in that: In the stage feeding sub-unit, the age and growth stage data in the individual information data group corresponding to the electronic ear tags of cattle and sheep are extracted, and cattle and sheep at different growth stages are fed with different feed ratios. For newborn cattle and sheep, roughage is mainly fed, and the roughage is chopped before feeding; for weaning cattle and sheep, the ratio of coarse feed to concentrate is 1:1, and the coarse feed is chopped and mixed with the concentrate for feeding; for fattening cattle and sheep, the ratio of coarse feed to concentrate is 4:1, and raw materials containing protein, minerals, vitamins and trace elements are added to the concentrate.

5. The image recognition-based precise nutritional feeding system for cattle and sheep according to claim 4, characterized in that: In the dynamic feeding subunit, the changing trends of each data in the individual information data group of each cattle and sheep are recorded. By comparing the growth parameters of different cattle and sheep, the growth efficiency of each cattle and sheep is calculated respectively, and the feed ratio is adjusted according to the growth efficiency.

6. The image recognition-based precise nutritional feeding system for cattle and sheep according to claim 5, characterized in that: In the dynamic feeding subunit, growth parameters include body length growth rate, body width growth rate, body weight growth rate and feed consumption.

7. The image recognition-based precise nutritional feeding system for cattle and sheep according to claim 6, characterized in that: In the behavior collection module, the behavior information includes the eating time, standing time, groaning frequency, rumination start time, rumination duration, and movement posture of cattle and sheep, and the movement posture includes drooping ears, hooves kicking the belly, and repeated shaking of the head.

8. The image recognition-based precise nutritional feeding system for cattle and sheep according to claim 7, characterized in that: In the vital sign collection module, vital sign changes include changes in body width of cattle and sheep due to abdominal expansion, changes in body length of cattle and sheep due to back arching, and body temperature data.

9. The image recognition-based precise nutritional feeding system for cattle and sheep according to claim 8, characterized in that: In the sick feeding adjustment module, abnormal behavioral indicators include a 35% or more reduction in eating time, a 40% or more reduction in standing time, a 3-4 times increase in groaning frequency, a 30% or more reduction in rumination time, a 20% or more reduction in rumination frequency, or drooping ears, hooves kicking the belly, or repeated head shaking of cattle and sheep; abnormal physical sign indicators include a 10%-15% increase in body width, a 2%-3% decrease in body length, or a body temperature of cattle and sheep rising to above 40.4°C.

10. A method for accurate nutritional feeding of cattle and sheep based on image recognition, which is based on the accurate nutritional feeding system for cattle and sheep based on image recognition according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1, data collection and database establishment: collect the age, weight, growth stage, body length and body width of each cattle or sheep, and establish an individual information data group corresponding to the number of cattle or sheep, and match the individual information data group with the electronic ear tag of the corresponding cattle or sheep; S2, data update: collect the body characteristics of each cattle and sheep through the physical sign camera, and update the age, weight, growth stage, body length and body width data of cattle and sheep in a 24-hour cycle; S3, personalized feeding: personalized feeding for each cattle and sheep, including: S3-1, feeding by stage: according to the age and growth stage of cattle and sheep, different feed ratios are used to feed cattle and sheep at different growth stages. For newborn cattle and sheep, coarse feed is mainly fed, and the coarse feed is chopped before feeding; for weaning cattle and sheep, the ratio of coarse feed to concentrate is 1:1, and the coarse feed is chopped and mixed into the concentrate for feeding; for fattening cattle and sheep, the ratio of coarse feed to concentrate is 4:1, and raw materials containing protein, minerals, vitamins and trace elements are added to the concentrate; S3-2, adjust feeding according to growth conditions: Use data analysis tools to analyze the data in the individual information data group of cattle and sheep, and calculate the growth efficiency of each cattle or sheep by comparing the growth rate of body length, body width, weight and feed consumption of different cattle and sheep. Then adjust the feed ratio of the corresponding cattle or sheep according to age and growth stage; S3-3, Feeding adjustment for sick cattle and sheep: Conduct disease testing on each cattle and sheep to determine whether they have gastrointestinal diseases. After confirming the disease, feed adjustment is made, including: S3-3-1, nose tip image acquisition: The nose tip image of each cattle or sheep is collected through the nose tip camera and transmitted to the nose tip monitoring module to determine the proportion of water droplets in the image. When the ratio of the water droplet area to the nose tip area of ​​the corresponding cattle or sheep is greater than or equal to 55% calculated by analyzing the nose tip image, it indicates that the gastrointestinal health of the cattle or sheep is good. On the contrary, when the ratio of the water droplet area to the nose tip area of ​​the corresponding cattle or sheep is less than 55%, the health risk level of the cattle or sheep is higher than the threshold. The nose tip module records the electronic ear tag information of the cattle or sheep and sends a monitoring signal to conduct further monitoring and analysis of the cattle or sheep. S3-3-2, cattle and sheep behavior collection: After receiving the monitoring signal, the behavior collection module monitors the corresponding cattle or sheep's eating time, standing time, groaning frequency, rumination start time, rumination duration, and movement posture through the behavior camera according to the recorded electronic ear tag information. The movement posture includes drooping ears, hooves kicking the belly, and repeated shaking of the head; S3-3-3, Collection of Vital Signs of Cattle and Sheep: After receiving the monitoring signal, the vital sign collection module collects the vital sign changes of the corresponding cattle or sheep through the vital sign camera according to the recorded electronic ear tag information. The vital sign changes include changes in body width due to abdominal expansion, changes in body length due to back arching, and body temperature data; S3-3-4, disease confirmation and feeding adjustment: The disease feeding adjustment module conducts abnormal analysis on the cattle or sheep based on the collected behavioral indicators and physical signs. After confirming that the cattle or sheep is sick, it promptly reminds the feeding management personnel to conduct health checks on the cattle and sheep, and adjusts the total amount of feed fed, the proportion of concentrate feed in the feed ratio, and the vitamin content in the concentrate feed.

Images