28 results about "Animal groups" patented technology

A system for tracing a Group of Members (GoM) of an animal population throughout a process including moving the GoM between a plurality of Physically Separate Locations (PSLs), the system comprising a processing circuitry configured to: obtain a plurality of sets of identifiers of the GoM, each obtained by readings of Identification Devices (IDs), wherein (a) each ID of the IDs is attached to, and uniquely identifies, a respective member of the GoM, (b) the identifiers in each of the sets are read (i) at a respective given PSL of the PSLs, (ii) by a respective given ID reader of a plurality of ID readers; (c) one or more partial sets of the sets do not include one or more respective missing identifiers of at least one member of the GoM; and add the missing identifiers to the respective partial sets along with a confidence score.

A system for estimating greenhouse gas emission in an environment housing an animal population, the system comprising: one or more monitoring devices configured to monitor parameters of members of the animal population; a data repository comprising one or more records, each of the records (i) being associated with a respective member of the members, and (ii) including one or more parameters of the respective member as monitored by at least one of the monitoring devices over time; and a processing circuitry configured to: obtain at least a subset of the records, the subset being associated with a group of members of the animal population; determine one or more greenhouse gas emission affecting parameters based on the subset; estimate an amount of greenhouse gas emission in the environment utilizing the greenhouse gas emission affecting parameters; and perform an action utilizing the estimated amount of greenhouse gas emission in the environment.

The invention discloses a multi-source array animal intelligent monitoring and driving method and system based on target recognition, and relates to the technical field of animal prevention and control, and the method comprises the steps: based on the collection data of a multi-source sensor array, extracting the distribution behavior parameters of animal individuals, obtaining an individual behavior feature data set, and obtaining an individual behavior feature data set; according to the number of back-and-forth movement times of the animal individuals in the monitoring boundary area, the single staying duration and the ratio of the entering depth to the exiting frequency, an animal heuristic behavior judgment result is generated; according to the animal heuristic behavior judgment result and the historical driving event record, calculating adaptability parameters of the group to acousto-optic driving stimulation, setting an adaptability critical threshold judgment standard, and generating an animal group driving adaptability evaluation result; and generating a driving control signal containing the starting instruction and the adjusting parameter. The method has the advantages of animal heuristic behavior recognition and driving adaptability evaluation, and solves the problem of poor long-term prevention and control effect in the prior art.

The invention provides a sensing system for determining a parameter of an animal group, wherein the sensing system comprises a scale, a distance sensor and a controller; wherein the scale comprises a measurement surface adapted to receive an animal of a group of animals, and wherein the distance sensor has a field of view directed towards the measurement surface; wherein the scale is configured to measure a weight of each respective animal of the group of animals received on the measurement surface, and to output a respective weight signal indicative of the measured weight; wherein the distance sensor is configured to measure a height of each respective animal of the group of animals received on the measurement surface, and to output a respective height signal indicative of the measured height; wherein the controller is configured to obtain each respective weight signal and each respective height signal, and determine a parameter of the group of animals based on the measured weight and the measured height.

The invention provides an intelligent behavior identification and analysis method and system. The method comprises the following steps: segmenting preprocessed video stream data by using a semantic segmentation technology to obtain animal monomers, and respectively extracting spatial-temporal characteristics and overall dynamic characteristics of an animal group; inputting the spatio-temporal characteristics and the breeding environment semantic information into a monomer behavior semantic recognition model to obtain monomer behavior semantic characteristics, performing spatio-temporal correlation analysis on each monomer behavior semantic characteristic to calculate behavior interaction strength among different animal monomers, and constructing a group behavior correlation matrix according to each behavior interaction strength; and inputting the overall dynamic characteristics and the group behavior association matrix into a group behavior semantic recognition model to obtain a group behavior classification result, and generating prompt information. According to the method, key associated information such as group stress and ingestion competition can be effectively captured, and accurate identification and analysis of individual behaviors in a group behavior scene are realized.

The invention discloses a real-time measurement method for the total heat production rate of an animal group. The method comprises the following steps: detecting the concentration of specific gas in an accommodating space of the animal group; the specific gas concentration curve is analyzed, whether a measurement window period is entered or quitted is determined, and the measurement window period refers to a time period in which the external environment influence is kept relatively constant and is at a low level; in the measurement window period, determining the concentration change rate of the specific gas in real time; calculating the volume generation rate of the specific gas according to the concentration change rate and the effective gas volume of the accommodating space; and calculating the total heat production rate of the animal group in the accommodating space according to the volume production rate of the specific gas. The method for measuring the heat production rate is low in cost, high in accuracy and suitable for measurement in a commercial production environment.

The present invention provides a method for farming cephalopods in a group in an artificial rearing environment, the method including farming the group of cephalopods so that, in a predetermined period immediately after hatching of the cephalopods, the group is not merged with other groups, or even if merged with other groups, the number of merging does not exceed three times.

The embodiment of the invention provides an animal social analysis method and device, electronic equipment and a medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: extracting a global video frame sequence from a real-time multi-view video of an animal group; performing real-time group behavior recognition, individual behavior recognition and animal posture recognition on the global video frame sequence, and performing social contact pointing analysis on the animal group according to group social contact behavior categories, single animal behavior categories and target animal posture data obtained through real-time recognition to obtain group social contact pointing data; and according to the group social behavior category, the single animal behavior category and the group social pointing data, social information integration is carried out to obtain target animal social data. According to the embodiment of the invention, the social directivity analysis is carried out according to the group social behavior category, the single animal behavior category and the target animal posture data, so that the social directivity of the animal group social behavior can be accurately judged in real time, and the efficiency and precision of animal social analysis are improved.

The invention relates to the technical field of anti-parasitic implants, and discloses a population wild animal PLGA-based long-acting slow-release anti-parasitic implant, which is composed of the following components in parts by weight: a PLGA carrier, an anti-parasitic composite drug, an auxiliary agent, a skin penetration enhancer, a biological adhesive, a stabilizer, a pH regulator, a plasticizer and an antioxidant. The implant disclosed by the invention can meet the prevention and treatment requirements of the group-living wild animals through functional synergy of all the components: on one hand, the long-acting slow-release performance greatly reduces the administration frequency, the animals do not need to be frequently captured, the interference on group life of the group-living animals is reduced, meanwhile, the investment of manpower and material resources is reduced, and the implant is suitable for large-scale group prevention and treatment; and on the other hand, the implant has excellent physical properties and biocompatibility, and does not cause obvious inflammation or stress response in vivo.

The invention relates to the technical field of animal epidemic disease prevention and control management, and particularly discloses an animal epidemic disease health risk evaluation method and system, and the technical key points are that the method comprises the steps: firstly, collecting multi-source data of animal health monitoring, laboratory detection, environmental factors, epidemiology and the like, and carrying out the standardization processing of the data; key factors such as immune level, health deviation degree, environmental stress degree and epidemiological risk are extracted; by establishing a multi-factor comprehensive risk evaluation model, quantitative calculation is carried out on epidemic disease risks of animal groups, and dynamic updating and self-learning optimization of risk indexes are realized in combination with time sequence correction and machine learning correction; the system structurally comprises a data acquisition module, a data processing module, a risk assessment module and a result output module, and can realize risk grade division, visual display and cross-terminal early warning push. When the risk reaches a medium-high level, the system can be linked with ventilation, disinfection and isolation measures of the farm to form a closed loop of evaluation, early warning and disposal.

The present application relates to wild animal monitoring data prediction and simulation technical field, specifically relates to a kind of wild animal migration path prediction method based on environmental factor data and monitoring point data, S1: the digital extraction of point and path information system is carried out;S2: obtain digital orthophoto map DOM and preprocessing.S3: environmental factor data is sorted out;S4: environmental factor data and wild animal group appear and disappear point and its migration path data integration form wild animal group migration database;S5: using the way of constructing resource selection probability-resource oriented path algorithm (RSF-RGPA), migration path simulation model is established;S6: based on the model obtained in S5 analysis point, constantly iteration, to the end, form path;The present application is integrated by systematically environmental factor data and wild animal appear and disappear point data, the present application uses the resource selection probability-resource oriented path algorithm (RSF-RGPA) constructed, greatly improve the accuracy of migration path prediction.

The invention discloses a research method for improving depression by influence of movement on hippocampus, and relates to the field of medical science. Comprising the following steps: grouping experimental animals and constructing a model, selecting animal groups, and establishing a CUMS depression model; performing swimming exercise intervention, setting training parameters, and performing intervention by using an inhibitor; sample collection and molecular detection: anesthetizing animals, taking hippocampus tissues, and carrying out ferroptosis index detection, protein and gene expression analysis and neuron morphology observation on the hippocampus tissues; data analysis and mechanism verification are carried out, and behavioristics and molecular index correlation analysis and path blocking experiments are carried out respectively. According to the invention, the ferroptosis mechanism is associated with the motion anti-depression effect for the first time, the hub effect of the Nrf2 / SLC7A11 / GPX4 pathway is disclosed, behavioristics, molecular biology and ultrastructure analysis are integrated, a multi-dimensional verification system is established, quantifiable motion intervention parameters are provided, and a basis is provided for formulating a clinical motion prescription.

The invention provides an animal ear tag group communication system, the system comprises a plurality of animal ear tags and a receiving node, each animal ear tag comprises a first energy storage unit, a second energy storage unit, an energy collection module and a control unit, and the control unit is used for carrying out cooperative power supply control on the first energy storage unit and the second energy storage unit. A communication strategy is executed according to the scheduling instruction of the receiving node or the local sensing state; wherein the receiving node dynamically divides the plurality of animal ear tags into different communication groups according to the received state information of the plurality of animal ear tags by broadcasting synchronization information or issuing a scheduling instruction so as to realize group-level communication scheduling. According to the technical scheme, the novel animal ear tag system has a high-energy-efficiency power supply framework, environment and behavior perception capability and a self-adaptive group communication scheduling mechanism, so that high-efficiency, reliable and intelligent communication management of large-scale animal groups is realized while long-term endurance is guaranteed.

The application discloses a kind of multi-source array animal intelligent monitoring drive method and system based on target identification, it is related to animal prevention and control technical field, the method includes: based on the acquisition data of multi-source sensor array, extract the distribution behavior parameter of animal individual, obtain individual behavior characteristic data set, and according to the number of back and forth movement of animal individual in monitoring boundary area, single stay duration, the ratio of entry depth and exit frequency, generate animal exploratory behavior determination result;According to animal exploratory behavior determination result and historical drive event record, calculate the adaptability parameter of group to sound and light drive stimulus, and set adaptability critical threshold determination standard, generate animal group drive adaptability evaluation result;Generation includes the drive control signal of starting instruction and adjustment parameter.The application has the advantages of animal exploratory behavior identification and drive adaptability evaluation, solves the problem that prior art long-term prevention and control effect is not good.

The invention relates to the technical field of air conditioning, in particular to an intelligent control method for a livestock farm ventilation system, and the method comprises the steps: obtaining various environment parameter data of each region in a livestock farm in a current monitoring time period and the position data of each bred animal; determining an environment unstable target time period in the current monitoring time period based on the intersection condition of the various environment parameters in the unstable time period in the current monitoring time period; based on the position data of each bred animal in the environment instability target time period, analyzing animal group behavior abnormality, and determining a group behavior abnormality factor in the environment instability target time period; and on the basis of the change instability of various environmental parameter data in the environmental instability target time period and in combination with the group behavior abnormal factors, the regional ventilation requirements in the environmental instability target time period are determined, and then a ventilation system in the farm is controlled for air conditioning. The accuracy of ventilation adjustment of each area in the farm is effectively improved.

Disclosed are various approaches for determining an animal feed formulation. In some implementations, a system may obtain data that provides characteristics of an animal population located at a site. The system may identify a target growth schedule for the animal population. The system may use a data processing model to predict nutrition requirements for tissue growth in the animal population, using the target growth schedule and the characteristics of the animal population, as the model predicts nutrition requirements based on projected nitrogenous energy requirements for the tissue growth. The system may identify a feed formulation producible from a combination of animal feed ingredients to satisfy the nutrition requirements for tissue growth. The system may generate a data output for use of the feed formulation with the animal population, the data output indicating the identified feed formulation producible from the combination of animal feed ingredients.

The invention discloses a small animal group reading identification system and method based on the high-frequency RFID technology, and relates to the technical field of radio frequency identification, and the system comprises RFID tags, each small animal is provided with one RFID tag; the box body is used for bearing small animals; the reader-writer antenna at least comprises a coil pair sleeved outside the box body; and the RFID reader-writer is used for identifying, reading and writing the RFID tag through the reader-writer antenna. According to the invention, a three-dimensional uniform magnetic field is constructed through coil pairs with coincident axes and current in the same direction, and a 13.56 MHz + / -7kHz high-frequency RFID tag is matched, so that a signal blind area can be effectively eliminated, multi-tag conflict is avoided, and stable and efficient group reading of small animals is realized.

This invention discloses a location detector for specific sounds, comprising a sound collection box containing a sound cavity; several directional sound pickup horns are distributed on the outer peripheral wall of the sound collection box, each horn containing a pickup port, and the transmission hole of each pickup port is connected to the sound cavity; a sound recognition unit is disposed within the sound cavity; a selective sound shielding unit, which can rotate around the center of the sound cavity, is disposed within the sound cavity. The selective sound shielding unit is a ring with a notch, and an open opening is formed at the notch of the selective sound shielding unit. The rotation of the selective sound shielding unit causes the open opening to successively correspond to each pickup port. This invention designs a sound detector capable of recognizing and roughly determining the location of "specific sounds," thereby realizing the monitoring function of animal groups.

The invention relates to a multi-gene pyramiding breeding method suitable for animal populations, the method adopts a minimum rotation maximum complementation (mRMC) gene pyramiding method, compared with the prior art, all individuals in the population can stably carry n target genes (ideal populations) at the same time by needing fewer generations, the number of generations is reduced, the number of generations is reduced, the number of generations is reduced, and the number of generations is reduced. And it is ensured that the group still contains n families. According to the method, the gene polymerization efficiency is effectively improved, and the method shows superiority in the aspects of controlling the population inbreeding level, maintaining the population genetic diversity, maintaining the background character genetic progress and the like. The method. The method can be combined with breeding technologies such as genome selection, marker-assisted selection, comprehensive selection indexes and the like, provides an efficient, controllable and programmable general technical framework for polygene pyramiding breeding of livestock and poultry such as pigs, cattle, sheep, chickens and the like, and has important application value for accelerating the molecular design breeding process and breeding new varieties with high resistance and high yield.

A system for animal population activity verification may include a user device configured to receive one or more chore completion inputs, a barn node configured to identify an interaction between the barn node and the user device, and a barn hub communicatively coupled to the barn node. In embodiments, the barn hub is configured to: identify a spatial relationship between the barn hub and the user device; receive identified interaction data; and receive the one or more chore completion inputs. In embodiments, the system further includes a server configured to: receive the one or more chore completion inputs, the identified interaction data, and identified spatial relationship data; store a transaction log in memory; and identify one or more incomplete chores of the list of chores based on at least one of the one or more chore completion inputs, the identified interaction data, and the identified spatial relationship data.

A rotary milking platform (3) comprises a plurality of stalls (5) and an RFID animal identifying system (9) for identifying animals entering the stalls (5) of the platform (3). A microprocessor (14) reads signals from an image capturing device (15) and computes a feature vector from the captured image of each animal. A plurality of reference feature vectors comprising respective matrices of metrics already derived from images of the respective animals captured by the image capturing device (15) are stored and cross-referenced with the identity of the respective animals. The microprocessor (14) compares computed feature vectors of each animal with the stored reference feature vectors until a best match has been determined with one of the reference feature vectors. The identity of the animal of that matching reference feature vector is then determined as the identity of the animal of that computed feature vector. The determined identity of the animal in the relevant stall (5) is compared with the identity of the animal determined for that stall (5) by the RFID system (9). On a favourable comparison the identity of the animal determined from the captured image of that animal is confirmed as the identity of the animal. In the event of a conflict between the two identities being determined, a conflict alert signal is produced.

Management of the health status of an animal colony using a plurality of blood collection cards and the analysis of dried blood from members of the colony that has been collected on the cards. Members of the colony may be removed from the colony as a result of the analysis.

The utility model provides accurate animal feed feeding equipment, which relates to the technical field of feeding equipment and comprises a bottom plate, an annular trough and a feed storage tank, and upright posts are symmetrically and fixedly mounted at the top of the bottom plate. By arranging the adjusting structure composed of the first motor, the lead screw, the sliding plate and the adjusting plate, the discharging speed of the discharging pipe can be accurately controlled, so that the feeding amount of feed is accurately adjusted according to the actual requirements of animals, feed waste is avoided, and the feeding efficiency is improved. By arranging a dispersing structure composed of a second motor, a second gear, a first gear, a feed guide pipe and a feed receiving funnel, in the feed falling process, the second motor drives the second gear to rotate, the feed guide pipe is driven to rotate due to the fact that the second gear is meshed with the first gear, and the feed is evenly dispersed to all positions of the annular feed trough through the feed receiving funnel; the problem that feed is unevenly accumulated in the annular trough is effectively solved, the phenomenon that animals eat unevenly due to scrambling for food is reduced, and the balance of growth and development of animal groups is guaranteed.

The utility model provides a trace element licking brick with a multi-layer composite structure, which comprises a licking brick body, the licking brick body is formed by splicing at least one licking brick layer, and the licking brick layer contains at least one trace element; the upper end face of the block layer is provided with a strip-shaped protruding structure, and the lower end face of the block layer is provided with a concave groove matched with the strip-shaped protruding structure in shape. According to the trace element licking brick with the multi-layer composite structure, the licking brick layers with different trace elements are spliced to form the licking brick with the multi-layer composite structure, and the components and the number of the licking brick layers in the licking brick can be adjusted according to the requirements of different animal groups; the nutritional requirements of different animal groups or the same animal group in different growth stages and physiological states are met, and the use efficiency of the lick brick is improved.

The present disclosure relates to determining a biological tissue structural marker for diagnosis of a disease using a biological tissue characterization technique. A method for determining a structural marker for a diagnosis of a disease can include measuring a first molecular structure of a biological tissue of a first population of animals, after a carcinogenic or pathogenic substance was introduced into the first population. A second molecular structure of the biological tissue of a second population of animals can be measured, wherein the second population did not receive the carcinogenic or pathogenic substance. A first and a second structural marker of the molecular structures of the biological tissue of the first and second populations, respectively, can be identified and compared to determine that the first structural marker is indicative that the biological tissue of the first population of animals was affected by the disease.

The invention discloses an intelligent agent-based animal health monitoring and early warning method and system. The method comprises the steps of obtaining an animal group video; individual identification and continuous tracking are carried out on each frame of image, and the position and motion track information of each animal is generated; analyzing a behavior mode of the animal, identifying a specific behavior, and recording related data; in combination with professional knowledge in a veterinarian knowledge base, a large model inference engine is used for comprehensively evaluating the health condition of the animal, and when an abnormal condition is found, a corresponding early warning signal is sent out; related video clips and key frames are selected, and identifiers and interpretation characters are added; sending early warning information; useful information is automatically screened out according to newly collected data samples, automatic labeling and incremental training are conducted through the information, and a target detection model and a behavior recognition model are optimized. According to the method, the defects of a traditional manual monitoring method and the prior art are overcome, and the refinement and intelligence level of breeding management is improved.

The embodiment of the invention provides a positioning method and device based on an animal group, equipment, a medium and a product. The method comprises the following steps: receiving a loss message sent by a main positioning module; wherein the lost message is a message sent when communication between the main positioning module and a target auxiliary positioning module fails; in response to the loss message, generating first flight guidance information according to the position of the main positioning module, and controlling the unmanned aerial vehicle to fly to a search initial position according to the first flight guidance information; and according to the first search direction, generating second flight guidance information, and according to the second flight guidance information, controlling the unmanned aerial vehicle to search a target animal bound with the target auxiliary positioning module. According to the embodiment of the invention, the method achieves the positioning of the animal through the cooperation of the main positioning module and the auxiliary positioning module, reduces the power consumption of the positioning device, reduces the cost, and improves the positioning effect.