36 results about "Cattle herd" patented technology

The present invention 10 provides a system and method of monitoring and tracking a plurality of physical variables from a remote location. The invention 10 utilizes a plurality of radio frequency identification transponders 20 each coupled with a sensor for measuring physical data. The transponders 20 are powered by a radio frequency reader/interrogator 60 that provides radio frequency excitation to the transponders 20 and receives and demodulates back-scattered signals therefrom. The invention 10 is particularly advantageous in monitoring temperature in cattle herds as an aid to early diagnosis of bovine respiratory disease.

The invention discloses a breeding method for selecting high-production-performance A2A2 homozygous genotype dairy cattle based on pedigree information simplification. By performing dairy cattle production performance measurement, pedigree data and phenotype data of dairy cattle individuals are collected, on the basis of a father beta casein genotype result, genetic evaluation is performed, breeding values of the milk yield, the butterfat yield, the milk protein yield and the milk protein rate are obtained, and high-yield A2A2 homozygous individuals are obtained through analysis by calculatingan individual high production index HPI. According to the method, by applying daily DHI data for large group screening, the workloads of the actual cattle farm production process are greatly lowered;the A2A2 homozygous individuals in the cattle herd can be rapidly, conveniently and accurately screened out.

The invention discloses a mad cattle disease detection and timely anesthesia flight micro-robot. The mad cattle disease detection and timely anesthesia flight micro-robot comprises a data collecting unit, a data transmission unit and a data storage unit which are connected with a controller, and further comprises a wireless communication unit and a flight unit. The controller is used for carrying out analysis and processing on physiological information, specifically, the collected physiological information is compared with pre-stored mad cattle disease parameter indexes in a one-to-one mode, and the physiological information exceeding the mad cattle disease parameter value is sent to the client side. Thus, the defect that real-time and full-automatic monitoring on cattle herds and timely control over cattle infected with the mad cattle disease cannot be achieved in the prior art, the cattle herd state information is monitored fully automatically in real time, and people can find out mad cattle and infected cattle in time and take measures in time.

The invention discloses a cattle face recognition method, which comprises the steps of collecting image data of cattle to obtain a cattle face data set, obtaining four feature extraction models according to the cattle face data set, a first feature extraction network and a second feature extraction network, and obtaining four groups of features according to the cattle face data set and the four feature extraction models; designing an integrated network to cooperate with the four feature extraction models to form a complete cattle face recognition network, inputting the four groups of features into the integrated network, and training the integrated network; performing cattle face recognition according to the cattle face recognition network and the cattle face data set; for cattle herds with limited individuals, the method can obtain high recognition accuracy and is high in applicability.

The invention discloses a breeding method for improving the reproductive rate of beef cattle and relates to the technical field of livestock breeding. The method comprises the methods of (1) cattle herd structure adjustment, wherein the adjustment at the end of a year is 80% of basic cattle, 10% of reserved cattle and 10% of bred cattle, (2) breeding control including (a) the selection of high-quality breeding cattle, (b) the nutritional supply of female beef cattle, (c) reproductive disease control, (d) estrus identification and breeding insemination, (3) fetus protection after insemination including feeding management, environmental control and appropriate exercise, (4) pregnancy check and re-examination and secondary insemination, performing pregnancy check after 20 days to 1 month of female cattle insemination, and performing complementary insemination non-pregnant female cattle, and (5) delivery and postpartum care. According to the method, the purpose of improving the reproductive rate of the beef cattle is achieved by the strict control of the living environment of the pregnant cattle, timely insemination and post-natal care and the strengthened management of the aspects ofmaternal health, conception rate, and complementary insemination for non-pregnancy.

The invention discloses a grazing method adopting precise daily ration and a fence system used by the grazing method. The method includes the steps of A, grazing the herd in the fence system; B; calculating grassland yield; C, calculating cattle herd daily feed intake; D, determining the grazing area of the fence system according to the grassland yield and the cattle herd daily feed intake; E, allowing the fence system to move automatically after the grazing of each day, and determining the current-day grazing area of the fence system according to the grass yield and cattle herd daily feed intake calculated in real time; F, circulating the step E to achieve grazing adopting precise daily ration. The fence system comprises a watering place and a solar power supply device connected with fence groups. The method has the advantages that under the premise that the natural grazing habits of the herd are followed, the self-propelled fence is arranged to perform planned grazing, grassland utilization rate can be increased, herd management cost can be lowered, forage-animal balance can be optimized, herd nutritional requirements can be satisfied favorably, herd disease infection rate can belowered, and the like.

The invention provides a hybridoma cell line and a preparation method thereof, monoclonal antibodies, an application and a kit, and relates to the technical field of animal genetic engineering. The hybridoma cell line secreting the anti-Hp protein monoclonal antibodies is a combination of a hybridoma cell line of CCTCC NO:C2017119 and a hybridoma cell line of CCCC NO:C201858. The invention also discloses the anti-Hp protein monoclonal antibodies. The monoclonal antibodies are selected from monoclonal antibodies secreted by the matched hybridoma cell line of CCTCCNO: C2017119 and monoclonal antibodies secreted by the matched hybridoma cell line of CCCCNO:C201858. The antibodies secreted by the two hybridoma cell lines are used for preparing the ELISA kit for early pregnancy detection in dairy cows. The ELISA kit has good sensitivity and high specificity, and facilitates earlier detection of early pregnancy in cattle herd.

The invention provides a traditional Chinese medicine combination for preventing bovine pasteurellosis. The traditional Chinese medicine combination is an orally-taken preparation prepared by active pharmaceutical ingredients comprising, by weight, 40 parts to 80 parts of honeysuckle, 40 parts to 80 parts of fructus forsythiae, 20 parts to 60 parts of burdock, 40 parts to 80 parts of isatis roots, 40 parts to 80 parts of subprostrate sophora, 30 parts to 70 parts of the root bark of the peony tree, 60 parts to 100 parts of dried radix rehmanniae, 40 parts to 80 parts of scutellaria baicalensis, 30 parts to 70 parts of coptis chinensis, 40 parts to 80 parts of pollen, 30 parts to 70 parts of oriental wormwood, 30 parts to 70 parts of gardenia, 40 parts to 80 parts of blackberry lily, 30 parts to 70 parts of puffball, 30 parts to 70 parts of mint and 10 parts to 50 parts of liquorice. The bulk pharmaceutical chemicals of the traditional Chinese medicine combination are wide in source, low in cost, easy to obtain, safe and reliable. The traditional Chinese medicine combination is small in toxic and side effect, free of medicine tolerance and stable in treatment effect, significantly lowers the average incidence of bovine pasteurellosis in the same cattle herd, has the good preventing effect on bovine pasteurellosis, and is a good trauma medicine which is safe, high in quality and stable.

The invention discloses a bovine spongiform encephalopathy detection flying mini-robot. The bovine spongiform encephalopathy detection flying mini-robot comprises a data collection unit, a data transmission unit and a data storage unit which are connected with a controller, and further comprises a wireless communication unit and a flying unit. The controller analyzes and processes physiological information and specifically conducts the steps that the collected physiological information is compared with prestored bovine spongiform encephalopathy parameter indexes one to one, and sends the physiological information exceeding bovine spongiform encephalopathy parameter values to a client side. Thus, the problems that in the prior art, a cattle herd cannot be monitored automatically in real time and cattle having the bovine spongiform encephalopathy cannot be controlled in time are solved, cattle herd state information is monitored automatically in real time, mad cattle and infected cattle are found in time, and measures are taken in time.

The invention discloses a cattle herd monitoring method, which comprises the following steps of: detecting belching of cattle, setting a threshold value according to the feeding time of the cattle, comparing the threshold value with a detected numerical value, and further judging whether the feeding and growth of the cattle need to be intervened or not. According to the cattle herd monitoring method provided by the invention, various behaviors of cattle are detected, and a comprehensive, objective and detailed management and control method is set, so that cattle herds can be monitored in realtime, the yield of milk and the survival rate of the cattle are increased, and the economic benefit is increased.

The invention discloses a cattle herd structure determination method and device and a computer readable storage medium, and the method comprises the steps: obtaining a current cattle herd structure, obtaining the current cattle information and preset parameters according to the current cattle herd structure, wherein the current cattle information comprises the number of calves, the number of dry dairy cattle and the number of lactating cattle, and the preset parameters comprise an annual reproduction rate, a calving interval, a calf dead birth rate, a calf survival rate and a calf survival rate; according to the current cattle information and preset parameters, determining a first cattle flock structure after a preset prediction duration, the first cattle flock structure comprising age distribution of cattle. According to the invention, the obtaining difficulty of the cattle herd structure is reduced.

The invention discloses a simple cattle breeding method. The method includes steps: 1) site selection, to be more specific, selecting a gentle slope lowered gradually from south to north, wherein the gentle slope requires a surrounding clean water source and needs to be away from factories and people's residence by 800-1900mm, soil texture of the selected gentle slope needs to be sandy loam with a large area of green vegetation, and the temperature of the selected gentle slope needs to be kept at 18-37 DEG C throughout the year. By reasonable section of a farming area, possibility of foreign germ infection of cattle herds is reduced; by epidemic prevention of the cattle herds, bacteria generation can be effectively avoided, and accordingly influences on the cattle herds are avoided; by selection of a cattle house at a place away from crowds, influences caused by excrements and the like generated in a cattle breeding process to people's residential districts can be effectively avoided while cattle can be protected from being interfered by people.

The invention provides a DC-SMKD-based lightweight cattle herd detection method and equipment, and the method comprises the steps: carrying out the depth separable convolution of a classical model, reducing the size of the model, obtaining a student model, carrying out the knowledge distillation of each layer of features outputted by the student model and a teacher model through SmoothL1Loss, enabling the student model to learn the multi-layer feature information of the teacher model YOLOv5x, and enabling the learning efficiency of the student model to be improved. Feature loss after separable convolution is made up, relatively complete cattle body features in a teacher model can be acquired, and cattle herd detection accuracy is improved.

In order to overcome the defects in the prior art, the invention provides a Yunnan middle cattle breed conservation and breeding method which comprises the following steps: S1, carrying out large-range large cattle breed selection; S2, establishing a basic cattle herd for the cattle meeting calculation score basic requirements; selecting the second-generation cattle with the high calculation score to establish a second-generation cattle herd, and eliminating the cattle herd with the calculation score lower than the basic requirements to an observation cattle herd; S3, raising and breeding bulls in the second-generation cattle herd with cows A in the second-generation cattle herd and cows B-X of other excellent cattle breeds, carrying out preferential reservation, and eliminating the rest of the cows to the observation cattle herd; S4, numbering and raising the cattle in the observation herd, obtaining the calculation scores of all the cattle regularly, preferentially transferring the cattle to a breeding cattle herd of the Yunnan middle cattle or an improved cattle herd B-X of the Yunnan middle cattle, and transferring the cattle which do not meet the requirements to a beef cattle feeding area for feeding. According to the method, raising result evaluation is carried out on the breed conservation and breeding cattle based on a calculation evaluation mode, stability is high, and the obtained cattle are good in quality.

The invention discloses a cattle herd monitoring system. The system comprises a first vibration detector, a first timer, a first controller, a first clock, a first communicator, a second vibration detector, a second timer, a counter, a second clock, a second controller, a second communicator, an alarm device, a third controller and a third communicator, wherein the first vibration detector, the first timer, the first controller, the first clock and the first communicator are located at a cattle lower jaw; the second vibration detector, the second timer, the counter, the second clock, the second controller and the second communicator are located at a cattle left neck venous groove; the alarm device, the third controller and the third communicator are arranged on a cowshed. According to thecattle herd monitoring system, the vibration detectors, the timers and the like are arranged on the cattle lower jaw and the cattle left neck venous groove so that the body conditions of cattle can beobjectively and accurately monitored, a cattle herd is monitored in real time, the yield of milk and the survival rate of the cattle are increased, and economic benefits are improved.

The invention discloses a cattle herd feeding management method and system, and the method comprises the steps: inputting a budget parameter, generating standard lactation curves of different birth times according to a wood model and a lactation curve model parameter level, and simulating and deducing the daily cattle herd structure change on the basis of a cattle herd and according to a cattle herd breeding logic model; generating milk yield per day of each cattle through the cattle herd breeding logic model and the lactation curve model; on the basis of the milk yield and the cattle herd structure and in combined with a feed model, calculating the demand quantity of various materials; and obtaining the income according to the milk yield in an income cost model, obtaining the cost according to the demand quantity of the materials, obtaining the average per unit yield according to the lactation curve of each cow, and finally matching financial accounting. According to the method and system, the problems of inaccurate production performance budget, inaccurate material purchase and low fund use efficiency and accuracy in dairy cow production are solved, and the black hole cost of pasture management is greatly reduced.

The invention provides a secure Massive MIMO system resource allocation method based on an intelligent reflecting surface. The method comprises the following steps: establishing a secure Massive MIMO system model based on the intelligent reflecting surface; initializing a quantum long-horned cattle herd; determining the quantum position and fitness of the left beard and the right beard of each quantum long-horned beetle in the quantum long-horned beetle herd; updating the quantum speed, speed and quantum position of each quantum long-horned beetle in the quantum long-horned beetle herd; updating the local optimal quantum position of each quantum long-horned beetle and the global optimal quantum position of the whole quantum long-horned beetle herd, and updating the step length, the inertia weight and the distance between the left and right beetles; judging whether the maximum number of iterations is reached or not, and outputting the optimal resource allocation method; according to the invention, a quantum cattle herd search mechanism is designed, the system capacity is maximized while the eavesdropping capacity is limited by applying an intelligent reflecting surface, and the safety performance and the resource utilization rate of the Massive MIMO system are improved.

The invention discloses a method for evaluating, detecting and/or predicting beef quality traits of yaks, which is based on the combination of three molecular marker SNP sites related to the meat quality traits of yaks; wherein the three molecular marker SNP sites are respectively located at the 81354300th site, the 81353982th site and the 81353910th site of the 7th chromosome of the cattle genome of ARS-UCD 1.2 ver. It is further found that the genotype is significantly related to the pH 45 min value and the backfat thickness character, a method for evaluating, detecting and/or predicting the beef quality character of the cattle is established, a theoretical basis is provided for early breeding of high-quality beef cattle, and a foundation is laid for constructing core cattle herds with the high-quality beef quality character.