44 results about "Herd" patented technology

The present invention relates miRNA biomarkers from milk. e.g. exosome-derived microRNA from milk, as indicators of welfare in bovines. In particular, the present invention relates to the identification of heat stress in bovines allowing to propose management actions to improve productive animal welfare at the individual or the herd levels.

The present disclosure discloses an intelligent management method and management system of a natural pasture using multi-machine collaboration of UAVs, which belongs to the technical field of UAVs. The method includes: by a UAV group, obtaining pasture environment information, automatically planning a global grazing path, and performing automatic driving and grazing according to a user-defined grazing time, a starting point and an end point; during the process, collecting and analyzing herd activity images, and planning local grazing paths to assist in the automatic driving; and meanwhile, collecting vegetation coverage image data of a grazing area to further assist in the grazing.

Techniques and mechanisms for preventing resource starvation and service throttling during container orchestration system operations are provided. In a Kubernetes-based container orchestration system, pluggable mechanisms are applied to pod and / or associated container creation and operation at the direction of a cluster controller to prevent resource overloading and service throttling during thundering herd problems encountered by components of a Kubernetes cluster. A special-purpose plugin may be provided that causes creation of a pod and / or associated container according to a prescribed order to prevent caching overload and resulting thundering herd problems during pod and / or associated container creation and startup.

This invention discloses the application of SNP molecular markers based on the STPG1 gene promoter in assessing bull semen quality. The SNP molecular markers include SNP2: g.-1220 T>C, where bulls with the CT genotype have significantly higher sperm motility and a significantly lower sperm abnormality rate than those with the CC genotype. In addition to SNP2, the invention also includes SNP1: g.-1234 G>A and SNP3: g.-1211 C>T. There are six haplotypes among SNPs 1-3. Compared to other haplotype combinations, bulls with H5H2 exhibit the highest sperm motility, while bulls with H3H2 exhibit the lowest sperm abnormality rate. These SNP molecular markers can serve as potential genetic markers for early identification of bull semen quality, which can not only improve breeding efficiency and reduce costs but also significantly enhance the overall reproductive performance of the herd.

Provided, according to one aspect of the present invention, is a method for analyzing incidents in a herd including a plurality of individual animals, the method comprising the steps of: grouping a plurality of individual animals on the basis of at least one criterion and extracting a reference behavior pattern for each group; generating information related to whether a current behavior is abnormal for each group with reference to the reference behavior pattern; and generating information related to an incident on the basis of the information related to whether the current behavior of each group is abnormal.

The invention relates to the field of molecular biology, and discloses a haplotype marker for dairy cow milk production butter-fat percentage character breeding and application of the haplotype marker, the haplotype marker is composed of three SNP sites in a strong linkage imbalance state, and the three SNP sites are located in a Block1 haplotype block region of a 10 # chromosome NC037337.1 of a dairy cow ARS-UCD1.2 genome; the three SNP sites are as follows: SNP1: g.59680573 A > C, SNP2: g.59743173 G > C, and SNP3: g.59743414 C > T; the dominant haplotype of the haplotype marker is H2, and the allele combination of the haplotype marker is SNP1-A, SNP2-G and SNP3-C; the homozygous H2H2 of the dominant haplotype H2 is significantly related to the high milk fat percentage character of milk production of dairy cows. The bottleneck of the traditional technology is solved, and the breeding accuracy is remarkably improved; the screening detection technical scheme is stable and reliable and has a wide application range; the milk production quality of groups is improved, and the industrial economic value is enhanced.

Techniques for measuring greenhouse gas emissions of ruminants after administration of a feed additive include receiving, by a server computer and within a reference period of time during which a cattle farm operates, feed ingredient usage data for each cattle type. The feed ingredient usage data includes an amount of feed provided for each cattle type and an identification of feed additives included in the feed. The feed additive is configured to reduce the emissions of greenhouse gases produced by each cattle in a herd that consumes the feed. The server computer also determines an estimated total amount of controllable greenhouse gas emissions of the cattle farm operation using a total controllable greenhouse gas emission model for the reference time period of the cattle farm operation with the feed ingredient usage data as an input to the model, which can be used to request carbon credits.

A livestock management system for detecting, tracking, and responding to livestock location and physical parameters, and for determining livestock behavior and physical conditions correlated thereto. The system generally includes a plurality of tags and sensors attached to and implanted in a plurality of livestock, one or more local sensors, a management platform, and a remote computer system. Each tag receives, processes and maintains data regarding the location, activity and physical parameters of a livestock to which it is attached and locally determines the behavior and physical conditions of the livestock. The tags communicate with other nearby tags and sensors locally via dynamic mesh networks and with the management platform and remote computer system via longer range wireless networks. The management platform processes the tag data and produces herd-related data. The remote computer uses the tag data to generate and update livestock behavior and condition models for download to the tags.

This invention discloses an industrial park optimization scheduling method based on the wild horse herd algorithm, comprising: establishing a multi-energy resource model of the park and an objective function oriented towards minimizing the overall expected operating cost of the industrial park; constructing a multivariate joint probability distribution model of wind power, photovoltaic power, and load using the R-Teng Copula method to quantify source-load uncertainty and generate multiple typical scenarios; establishing a two-layer optimization model, with the upper layer taking the minimization of the overall expected operating cost of the industrial park as the global optimization objective, and the lower layer dividing the park into several aggregation units with the minimization of the operating cost of each unit as the local optimization objective; performing sub-problem optimization for each aggregation unit based on the wild horse herd algorithm and ADMM; and achieving optimized scheduling based on the charging and discharging power of energy storage units, the demand response reduction power of flexible units, and the output value of distributed units in each aggregation unit obtained through optimization.

The invention discloses a grass and livestock integrated intelligent management system and method with cooperation of grass original ecology protection and production. The system integrates a space-air-ground integrated monitoring network, a hybrid communication network, a cloud platform and an intelligent analysis model, and realizes comprehensive acquisition, transmission, analysis and decision of grassland environment, pasture growth and livestock behavior data; a scientific grazing scheme and graded early warning are generated through dynamic grassland bearing capacity evaluation, a livestock group optimization grazing strategy and a grass and livestock balance early warning model, and decision making, feedback collection and continuous model optimization are performed by means of an intelligent mobile terminal and an intelligent electronic fence system; according to the invention, the problems of disjunction of monitoring and execution, imbalance of grass and livestock and the like in traditional grassland management are solved, and intelligent cooperation and dynamic balance of ecological protection and animal husbandry production are realized.

Provided is a dynamics prediction system that can predict the dynamics of a livestock group, which is a herd of livestock, in a form reflecting differences between individuals. The dynamics prediction system comprises: a storage unit that stores livestock group information including individual information of livestock constituting the livestock group, which is a herd of livestock, the number of individuals constituting the livestock group, health condition information of the individuals constituting the livestock group, and life-cycle information of the livestock; and a dynamics prediction unit that predicts the dynamics of the livestock group, including a change in the number of individuals, on the basis of the livestock group information stored in the storage unit. At least a portion of the number of individuals and the health condition information is managed on the basis of data acquired via sensors in the environment of the livestock.

An intelligent feed waste collection vehicle based on vision detection, belonging to the field of livestock machinery technology, includes a mobile chassis capable of moving along a preset path on the ground; a collection mechanism including a collection frame, a rolling main brush, a bidirectional auger, and a collection motor, wherein the collection frame is located at the front end of the mobile chassis, and the rolling main brush is rotatably mounted in the collection frame for brushing away feed waste on the ground; a conveying mechanism, one end of which is connected to the collection frame and is inclined upward behind the bidirectional auger; a storage bin, which is mounted on the mobile chassis, with the inlet of the storage bin corresponding to the output end of the conveying mechanism; and a feed waste detection module, including an image acquisition module and an image processing module. This collection vehicle firstly avoids manual operation, can know the feed waste status in different areas of the pen after the dairy cows have eaten, and accurately record it, which is beneficial for assessing the palatability of TMR formula, dairy cow feeding behavior, and even the health status of the herd.

The invention discloses a method and a system for improving functions of household alpine grassland. Investigating the current situation of the grassland by taking a family as a unit, and dividing the grassland into seven succession states according to an alpine grassland passive-active degradation succession theory; the grassland is improved by adopting rotation grazing, grazing reduction, interval pasturing, pasture population nutrition regulation, grass felt surface layer cracking and manual intervention recovery technologies; according to the annual grassland productivity, the number and structure of livestock groups are adjusted, and a function improvement technical system is constructed by combining family economy and grassland income dynamics. The method has the advantages that quantitative diagnosis of the degradation stage is realized by means of multi-parameter indexes and clustering analysis; through a long-term control test, screening effective technical combinations in each degradation stage; a family pasture ecological economic evaluation model is introduced, and an ecological target and herdsman income increase are both considered; a complete technical chain of diagnosis, testing, optimization and decision making is formed, dynamic adjustment can be achieved, and technology popularization standardization and adaptability unification are achieved.

The invention discloses a livestock group identity authentication method based on deep learning and target tracking, and relates to the field of modern intelligent livestock breeding, and the method comprises the following steps: obtaining livestock group image data, carrying out the preprocessing, and generating a labeled data set; training a target detection model, and outputting a detection result containing the position of the detection frame of the livestock group individual, the category confidence and the apparent feature vector; inputting a detection result into a target tracking model, continuously tracking the livestock group individuals, and outputting a unique identity identifier of each tracked individual and detection frame information corresponding to the unique identity identifier; individual areas are extracted from the original image sequence, and identity authentication of livestock group individuals is realized in combination with a pre-trained feature extraction network; and performing performance evaluation, and outputting an identification accuracy rate, a recall rate and an average precision index. According to the method, automatic and accurate identity authentication of the livestock group individuals is realized, and the efficiency and reliability of livestock group identity management in an actual scene are remarkably improved.

The present application relates to the technical field of intelligent collars, in particular to a distributed intelligent collar for monitoring the activity range of sheep herds. The intelligent collar comprises an intelligent terminal, a first fixing band and a second fixing band fixedly connected to the two sides of the intelligent terminal, an adjusting buckle fixedly connected to one end of the second fixing band, a collar band arranged in the adjusting buckle, and a buckling mechanism arranged between the collar band and the first fixing band. The buckling mechanism comprises a first connecting plate and a second connecting plate rotatably connected to one end of the first connecting plate. The buckling mechanism can distinguish between the instantaneous impact caused by the daily activities of sheep and the continuous pulling force caused by the hooking of foreign objects on the collar. When the sheep is firmly hooked by foreign objects and struggles to break free, the buckling mechanism actively disassembles to separate the collar from the sheep's neck, thereby avoiding suffocation and death caused by the tightening of the collar and reducing the economic losses of the breeder. The separation of the buckling mechanism is a mechanical unlocking, which can reduce the damage of the collar during the pulling process.

The utility model relates to the technical field of breeding equipment discloses a kind of guiding weighing pass devices for sheep, including base, the middle part of base top end is fixedly connected with protection frame, the left and right ends of protection frame are fixedly connected with protective fence, the inward one end of protective fence is fixedly connected with rotating seat, the inner wall of rotating seat is rotatably connected with rotating rod, the inward one end of rotating rod is fixedly connected with first fence gate, the top end of base is provided with first drive component in four corners, the left and right ends of protection frame are connected with second fence gate by second drive component, the inner wall of base top end is provided with weighing platform. In the utility model, first fence gate and second fence gate on both sides are closed and opened alternately, can be separated to sheep, and can guide sheep herd with protective fence, so that sheep can be sequentially and continuously weighed on the weighing platform inside the protection frame, without repeatedly pulling by artificial to avoid sheep running due to fright.

This invention provides a molecular marker associated with sheep weight traits and its application. Primers were designed based on the TNNT1 gene sequence to extract DNA from sheep blood. Through PCR amplification, DNA sequencing, and sequence analysis, a G / C polymorphism site was found at 176 bp of the amplified fragment. Further analysis using AQP primers detected the polymorphism site in 918 Hu sheep and established a least-squares model to analyze the association between genotype and weight traits. Ultimately, the TNNT1 gene fragment amplified by this invention was determined to serve as a molecular marker associated with sheep weight traits. By detecting the genotype of this molecular marker, this invention allows for the selection of GG homozygous sheep for breeding in the core herd, which can improve sheep weight and contribute to increased economic benefits.

A livestock management system for detecting, tracking, and responding to livestock location and physical parameters, and for determining livestock behavior and physical conditions correlated thereto. The system generally includes a plurality of tags and sensors attached to and implanted in a plurality of livestock, one or more local sensors, a management platform, and a remote computer system. Each tag receives, processes and maintains data regarding the location, activity and physical parameters of a livestock to which it is attached and locally determines the behavior and physical conditions of the livestock. The tags communicate with other nearby tags and sensors locally via dynamic mesh networks and with the management platform and remote computer system via longer range wireless networks. The management platform processes the tag data and produces herd-related data. The remote computer uses the tag data to generate and update livestock behavior and condition models for download to the tags.

The present invention relates miRNA biomarkers from a bulk milk sample, e.g. exosome-derived microRNA, as indicators of welfare in bovines. In particular, the present invention relates to the identification of heat stress in bovines allowing to propose management actions to improve productive animal welfare at the herd level.

This application relates to the field of data monitoring technology, specifically to an environmental monitoring method, system, and medium for intelligent livestock farms. The method includes: collecting temperature and humidity data for each cattle shed at various times; pre-setting a time window and obtaining a temperature anomaly value based on the correlation between temperature and humidity data; obtaining a herd thermal activity index based on the fluctuation characteristics of temperature and humidity data within the time window for each cattle shed; obtaining an average temperature level based on the distance between each cattle shed and other cattle sheds, combined with the temperature data; obtaining a representative temperature value based on the difference between the temperature data for each cattle shed at various times and the corresponding average temperature level; and obtaining the monitoring results of the temperature data at the corresponding time. This application aims to improve the accuracy of environmental data monitoring in cattle farming.

The application belongs to the technical field of image processing, and provides a beef cattle herd density anomaly early warning method based on multi-camera data fusion. The multi-camera data fusion technology is used to convert the beef cattle herd pixel data into two-dimensional coordinates in a unified coordinate system, form the global movement trajectory of beef cattle, divide the field area according to grid units, calculate the density of each grid, determine the crowding degree according to the density size, calculate the eigenvalue of the grid, introduce a logistic regression model, monitor the grid with a high eigenvalue and label it, combine the grid data and the global movement trajectory, calculate the risk probability, make early warning arrangements according to the risk probability level, count the false alarm and missed alarm situations, and retrain the model to complete the closed-loop iteration.

The utility model discloses water drinking equipment for breeding turmeric, which relates to the technical field of turmeric breeding and comprises a base and a stirring part arranged on the base, and a water drinking part is arranged on the stirring part. By arranging the liquid inlet part and the stirring part, when the sheep suffer from diseases, medicine or nutrient substances can be quickly and uniformly supplied to each sheep through drinking water, the diseases of the sheep flock can be solved through quick reaction, and loss expansion is prevented; through the arrangement of the water drinking part, real-time supply and real-time cut-off of a water source can be provided for the sheep through autonomous touch of the sheep, drinking water is prevented from being exposed outdoors for a long time to breed bacteria, the drinking water quality of the sheep is further guaranteed, and the health of the sheep flock is guaranteed; meanwhile, water resources are saved, and the feeding cost is reduced.

This invention discloses an intelligent health early warning method and system for cattle based on body temperature and acceleration, belonging to the field of smart animal husbandry and animal health monitoring technology. The method includes: Step 1, collecting body temperature and acceleration data of cattle in the herd; Step 2, preprocessing the body temperature and acceleration data, and calculating the time-domain and frequency-domain characteristics of the cattle based on the preprocessed data; Step 3, constructing and training a health prediction model, inputting the time-domain and frequency-domain characteristics of the cattle into the trained health prediction model, and outputting a health index for the cattle; Step 4, constructing a CUSUM control chart based on the cattle's health index and a benchmark health index, and triggering a health early warning when the cumulative deviation exceeds a preset threshold. This method, through joint preprocessing of body temperature and behavioral data and design of the model input structure, improves the stability and timeliness of early disease warning, and has good practical value and promising prospects for promotion.

The invention relates to a natural reserve resource multi-target optimization method and device, a storage medium and equipment, and the method comprises the steps: obtaining multi-source remote sensing data of a target natural reserve, and achieving the prediction of aboveground biomass data and plant crude protein data of the target natural reserve through a pre-trained prediction model; on the basis of a second-generation non-dominated sorting genetic algorithm, the optimal planning information of the target protection area is obtained according to the biological data, the aboveground biomass data, the plant crude protein data, the decision-making target and the constraint conditions of the target protection area; data support is provided for planning of a livestock group structure, the number of wild animals and artificial grassland planting information of a target protection area, the balance problem of multiple targets of human settlement-grassland-wild animal-livestock balance of the natural protection area is solved, and sustainable development of the natural protection area is promoted.

This invention discloses a method for quantitative feeding of donkeys applied in the field of animal husbandry. This method uses RFID identification technology to open feeding positions, achieving one feeding position per donkey. Based on this, the feeding time, feeding speed, and uneaten amount of each donkey are monitored, and the feeding amount for the next meal is dynamically adjusted. Compared with the prior art, this method can effectively achieve precise feeding of individual donkeys, avoiding feed waste caused by overeating or anorexia. At the same time, the one-donkey-one-feeding method effectively protects the weaker individuals in the donkey herd. Furthermore, by setting the feeding position as a semi-enclosed and independent area, it can not only effectively avoid mutual interference between donkeys during feeding, but also effectively prevent the dominant donkeys from taking the feeding positions of the weaker donkeys after they have finished eating. Physical means can be used to drive away the donkeys that are fighting for food. Compared with the prior art, this method can protect the weaker donkeys that need to be given extra nutrition or medication.

A livestock management system consisting of wearable GPS / IoT trackers assigned to the animals, edge controllers and cloud services that run AI models to analyze behavior and provide recommendations on grazing patterns, a virtual fence module to define and enforce dynamically adaptable geofences via interfaces attached to animals, and a metaverse visualization interface for remote monitoring and control of boundaries and herd movements.

The present invention relates miRNA biomarkers from a biological sample, e.g. extracellular vesicle-derived microRNA, as indicators of welfare in bovines. In particular, the present invention relates to the identification of social stress in bovines allowing to propose management actions to improve productive animal welfare at the individual or the herd levels.

This invention discloses a method and system for determining livestock presence in a pen based on non-contact measurement, relating to the field of livestock management technology. First, depth and visible light images of the grazing herd are acquired, and then image fusion and segmentation are performed sequentially to obtain several segmented regions. The images of these segmented regions are input into a livestock recognition model to determine whether the target within the segmented region is livestock. The segmented regions where livestock are identified are designated as the livestock's location. For each livestock location region, midpoint measurement, distance calculation, and triangulation are performed sequentially to obtain the geographical coordinates of the midpoint within each region. Based on the geographical coordinates of the midpoint of each livestock location region and the location of a virtual electronic fence, the relationship between points and lines is used to determine whether the livestock is within the virtual electronic fence's range. This invention employs non-contact measurement technology, improving the free movement of livestock and effectively reducing the cost and labor intensity of pasture management, while accurately determining the livestock's pen presence status.

The utility model relates to the technical field of sheep house ventilation, in particular to a pre-filtering and purifying air duct for sheep house ventilation, which comprises an air inlet cover mounted on the outer wall of a sheep house, the rear end face of the air inlet cover is open, the air inlet cover is communicated with the inside of the sheep house, a fan is mounted at the front end of the air inlet cover, and an air pipe is mounted at an air inlet of the fan. A filtering part is mounted at the front end of the air pipe; an inserting frame is inserted into the inserting groove, and a dust filtering net is fixed in an opening of the inserting frame; limiting assemblies are installed on the right end face of the shell and located on the front side and the rear side of the outer plate. When the draught fan is started, external airflow enters the shell, when the airflow passes through the multiple dust filtering nets, particulate matter such as dust in the airflow is intercepted and filtered, and the filtered airflow directly enters the sheep house through the air pipe and the air inlet cover; according to the design, the ventilation efficiency of the sheep house is guaranteed, external dust and other impurities are prevented from entering the sheep house, and therefore the air quality in the sheep house is guaranteed, and the health of sheep flocks is guaranteed.