62 results about "Livestock management" patented technology

Disclosed is an Artificial Intelligence (AI)-based livestock management system and a livestock management method therefor. According to the inventive concept, it is possible to determine whether the animal has abnormal symptoms by learning the standard livestock stall management data and analyzing the body temperature information and behavior information of livestock from livestock image data obtained in real time from livestock such as cattle, thus giving the manager confidence.

The invention relates to the technical field of grass and livestock management, and provides a grass and livestock balance regulation and control method and system based on a light energy utilization model inversion difference value, and the method comprises the steps: obtaining environment detection data, grassland ecological characteristic parameters and historical grazing data of a target grassland; according to the environment detection data, utilizing a pre-constructed light energy utilization model to calculate and obtain inversion biomass distribution of the target grassland; establishing a biomass estimation model according to the historical grazing data and pre-constructed actual measurement quadrat data, and obtaining actual aboveground biomass distribution of the target grassland according to the grassland ecological characteristic parameters and the biomass estimation model; calculating biomass difference distribution data; determining grassland grazing intensity distribution data of the target grassland according to the biomass difference distribution data; and based on the grassland grazing intensity distribution data, dividing the target grassland into a plurality of grazing sub-regions with different bearing capacity grades, and carrying out grass and livestock balance regulation and control. According to the invention, the accuracy of grassland grazing intensity evaluation can be improved, and precise regulation and control of grass and livestock balance can be realized.

The invention provides a cattle behavior recognition method based on a three-axis attitude angle, and belongs to the technical field of intelligent animal husbandry management. According to the method, three-axis attitude angle signals such as the yaw angle (Yaw), the pitch angle (Pitch) and the roll angle (Roll) of the head of a cattle are collected in real time through a gyroscope sensor arranged in wearable equipment such as a cattle ear tag. The method does not depend on images, accelerometers, microphones or other modalities, only based on attitude angle signals, multiple algorithms such as a time sequence sliding window, frequency domain analysis, weighted scoring, sudden change detection and state transition modeling are utilized, and multiple typical behaviors such as ingestion, rumination, water drinking, bed lying, limping, licking, fright jumping and low activity are recognized. The method is suitable for multiple cattle breeds such as dairy cattle, beef cattle and buffalo, has the advantages of low power consumption, lightweight calculation, low deployment cost, accurate identification and the like, and is convenient for realizing behavior monitoring and health management of large-scale cattle individuals. The algorithm path can be flexibly selected, but a core input signal is only limited to attitude angle data, so that the technical boundary of the patent protection of the method is formed.

The invention relates to the technical field of animal husbandry monitoring, in particular to a livestock physiological behavior monitoring method and system. The method comprises the following steps: acquiring a three-area pressure matrix through a pressure sensing pad; performing dynamic path identification and camera adjustment according to the three-region pressure matrix to obtain dynamic path tracking data; performing livestock mechanical gait analysis according to the dynamic path tracking data to obtain a gait mechanical characteristic spectrum; acquiring basic information of livestock; performing individual gait time sequence segmentation according to the gait mechanics characteristic spectrum to obtain segmented aligned gait data; according to the basic information of the livestock and the segmented alignment gait data, self-adaptive gait threshold calculation is carried out, and an individualized abnormal threshold set is obtained; and performing abnormal gait pattern recognition according to the individualized abnormal threshold set to obtain a gait deviation index matrix. The scientificity and reliability of livestock management and animal husbandry production efficiency are remarkably improved through the regional pressure sensing technology and the biological tracking camera shooting technology.

The utility model relates to the field of animal monitoring equipment, and provides an electronic ear tag which comprises a female tag, a male tag, a positioner, a temperature measuring probe, a heart rate sensor, a control mainboard and a wireless communication module, the female tag is provided with an installation cavity, the positioner and the wireless communication module are both located in the installation cavity, and the male tag is provided with a needle head. The needle head is used for puncturing an ear of a livestock and is inserted into the female tag; the temperature measuring probe and the heart rate sensor are respectively mounted on one side, facing the male tag, of the female tag; the positioner, the temperature measuring probe and the heart rate sensor are electrically connected with the control main board, and the control main board is electrically connected with the wireless communication module. The temperature measuring probe and the heart rate sensor are directly and tightly contacted with the ears of the livestock, so that the accuracy of monitoring the body temperature and the heart rate of the livestock is ensured; the control mainboard sends the position information, the body temperature information and the heart rate information of the livestock to the livestock management terminal in real time through the wireless communication module, so that multi-dimensional health monitoring is carried out on the livestock, and the high requirement of modern animal husbandry for livestock health management is met.

An autonomous herding system using a fleet of vehicles to manage and retrieve stray animals, combining technologies from U.S. Patents US 12102060 and US 12153451. The system employs autonomous vehicles equipped with optical-LiDAR sensors, GPS, and machine-learning image recognition to detect and guide strays back to the herd. Vehicles operate in two modes: roundup, for gathering scattered animals, and herding, for maintaining cohesion and directing movement. Positioned in traditional formations (point, swing, flank, drag), they use strategic movements, visual cues, and audio signals to influence herd behavior based on flight zone and point-of-balance principles. A trail boss module coordinates vehicle actions, ensuring efficient herd control. The system includes a battery replacement station for continuous operation, automatically swapping depleted batteries. This integration streamlines livestock management, reducing labor costs while improving animal and handler safety.

The invention belongs to the field of animal husbandry management, and particularly relates to a livestock online weighing error analysis method based on state classification and time-frequency characteristics. According to the scheme, firstly, an original weighing signal is subjected to modal decomposition to obtain a weight prediction value, and a reference error is calculated in combination with a static weighing value; secondly, extracting time-frequency domain characteristic parameters after self-adaptive windowing processing is carried out on the signals, and exploring the relation between the time-frequency domain characteristic parameters and reference errors in different active states; and finally, establishing a state classification model and two types of error prediction models, and performing hyper-parameter optimization on the error prediction models by using a myxobacteria optimization algorithm. In practical application, the state classification model is utilized to perform state classification on the weighing object, and the specified error prediction model is called in combination with the classification result to realize weighing error prediction. According to the invention, the problems of insufficient precision and poor generalization of the existing scheme are overcome; the method can be used for compensating the error of the online weighing platform so as to promote the development of fine breeding.

This invention discloses a parameter acquisition and analysis system for the breeding chicken rearing process, relating to the field of intelligent livestock management technology. The invention includes: a cage identification and retrieval unit for obtaining the identification code of each breeding chicken and the corresponding parameter information for each type of monitoring item; a breeding chicken acquisition and identification unit for acquiring the identification code and parameters for each breeding chicken, obtaining the identification code of each breeding chicken in the current round of parameter acquisition and the corresponding parameter information for each type of monitoring item; and a code correction unit for comparing the identification code of each breeding chicken in the current round of parameter acquisition with the code set of the breeding cage to obtain the identification code to be corrected; and obtaining the corrected identification code of the breeding chicken by matching the difference between the identification code to be corrected and other identification codes in the current and previous rounds of parameter acquisition for each type of monitoring item. This invention improves the accuracy of breeding chicken parameter acquisition during the breeding chicken rearing process.

A disposable diagnostic device system is disclosed for rapid detection of biomolecules in biological or environmental samples. The device can include an inlet port, microfluidic channels, and one or more sealed detection chambers containing reagents for nucleic acid or protein analysis. Sample introduction and cap closure can drive fluid into the detection chambers, where amplification reactions such as LAMP, SDA, NASBA, TMA, HDA, RPA, or related methods can occur. Detection may be performed by fluorescence, absorbance, or electrochemical measurement using integrated optical components and sensors. The chambers can be vented through gas-permeable membranes to ensure proper filling and mixing with dried or liquid reagents. The device can incorporate onboard electronics, including heaters, temperature sensors, photodetectors, and circuitry powered by a single battery, with optional NFC communication for wireless data transfer. Results may be displayed on the device or transmitted to a smartphone or electronic health system. The system can provide low-cost, portable, point-of-care testing with turnaround times of less than one hour, eliminating reliance on centralized laboratories. Applications can include veterinary diagnostics, livestock management, environmental monitoring, human diagnostics, and companion animal testing, enabling rapid and accessible screening for pathogens at the point of need.

A free-range livestock management server apparatus acquires information related to an individual animal or a location; identifies the individual animal based on acquired information; identifies location based on acquired information; grasps condition of individual animal or the location based on acquired information; monitors an abnormal condition of the individual animal or the location based on acquired information; sorts the information related to identified individual animal, identified location, grasped condition, and monitored abnormal condition for the identified individual animal or the identified location to associate each piece of the information with the identified individual animal or the identified location; stores the sorted and associated information; determines urgency of information related to abnormal condition of the individual animal or the location among the stored information based on a preset criterion; and creates notification information based on the information determined urgent to transmit the notification information to a predetermined terminal(s).

The invention discloses a flexible graphene RFID ear tag antenna based on informatization animal husbandry management. The flexible graphene RFID ear tag antenna comprises a substrate, a tag antenna and a radio frequency identification chip, the tag antenna comprises a symmetrical annular dipole with double radiation arms bent inwards, a feed structure based on T-shaped matching and a complete circular ring located on the inner side. The tag antenna and the radio frequency identification chip are arranged on the substrate; the symmetrical annular dipole arms with the double radiation arms bent inwards comprise an outer layer ring and an inner layer ring, and the connecting line between the center point of the spacing distance between the symmetrical annular dipole arms with the double radiation arms bent inwards and the center point of the ring is a symmetrical line. The intersection point of the symmetric line and the outer layer ring is symmetrically provided with feed structures based on T-type matching along the symmetric line to form short circuit branches, and the intersection point serves as a feed port to be connected with the radio frequency identification chip. The device can be used for informatization livestock management, and has the characteristics of miniaturization, light weight, flexibility and corrosion resistance.

Foldable or flexible ear tags for animals are disclosed herein. An example ear tag includes a flexible member configured to adapt to an interior of an ear of an animal, a solar panel housed on a protruding segment of the flexible member, the solar panel is configured to maintain an upward-facing orientation for sunlight exposure when the electronic ear tag is attached to the ear, an electronics assembly mounted on a rigid member of the electronic ear tag, the electronics assembly having a controller having a processor and memory for receiving and processing data from a location sensor, and a biometric sensor that are in contact with the ear, and a strap extending from the flexible member, the strap being configured to fit over a top of the ear to prevent rotation of the electronic ear tag when a securement member is inserted through the strap, the ear, and the flexible member.

The invention discloses a natural grassland productivity accurate monitoring method and device based on highly fused inversion. The method comprises the following steps: in response to a monitoring instruction, acquiring distance observation data of a target herbaceous plant acquired by distance measurement equipment; calculating average height data of a plurality of plants in the target area by utilizing a processor on the basis of a geometrical relationship between the distance measuring equipment and the target plant in combination with preset point information on the target plant and an empirical height equation; and fusing the height and the multispectral image features in the target area, and generating natural grassland productivity data of the target area by adopting a preset productivity fusion inversion model. By fusing the vegetation physical structure parameters and the multispectral ecological information, high-precision, near-real-time and low-cost monitoring of the productivity of the natural grassland is realized, and reliable technical support is provided for grassland ecological health assessment and animal husbandry refined management.

The invention relates to the technical field of livestock breeding intellectualization, and discloses an intelligent breeding system and method for full-barn feeding cashmere goats. The method comprises the following steps: collecting position coordinates and attitude information of down producing goats in a breeding house, and collecting environmental parameters of a plurality of position points; identifying a sheep flock subset with a local aggregation situation according to the position coordinates, and synchronously obtaining environmental parameters associated with the geographic position of the subset; deducing an expected behavior evolution trend of the sheep flock subset under the action of the environmental parameters in combination with the attitude information and the associated environmental parameters; judging whether the distribution of the whole cashmere goats needs to be subjected to global intervention or not according to the trend; when it is judged that intervention is needed, the movement guiding priority of each cashmere goat is calculated; and generating a differentiated path guide strategy for each goat based on the priority and executing the strategy to adjust the distribution state of the down producing goats in the shed. According to the invention, active prediction and personalized accurate guidance of sheep flock behaviors are realized, and the intelligent level of breeding management and animal welfare are improved.

A livestock management system includes a first type of livestock tag, a second type of livestock tag, and a computing device. The first type of livestock tag includes both a first long-range wireless transceiver and a first short-range wireless transceiver and is attached to a first livestock animal. The second type of livestock tag, which is attached to a second livestock animal, includes second short-range range transceiver that transmits a unique tag identifier associated with the second type of livestock tag to the first short-range wireless transceiver; the second type of livestock tag is incapable of transmitting a long-range wireless transmission. The computing device receives the unique tag identifier of the second type of livestock tag from the first type of livestock tag via long-range wireless transmission from the first long-range wireless transceiver.

A method is provided for coupling a mobile device to a robot device on a livestock farm. The mobile device has an NFC chip device, and the robot device is for animal-related operations and has a robot control system. The method comprises providing an external, programmable NFC chip, using the mobile device to open an app store or website having a downloadable robot control program for the robot device, downloading and starting the robot control program, and also establishing a connection between the mobile device and the robot device, detecting robot devices within a connection range, and selecting the robot device and, if necessary, logging in to it. By scanning the external NFC chip again with the mobile device, the NFC chip is automatically programmed by the robot control program with generated fill-in instructions and data which, in the event of a subsequent NFC contact with the mobile device, automatically start the robot control program and establish the active connection. A livestock farm and a robot control program for the method are also provided.

A system and method of livestock management comprising a device disposed in a livestock animal. The device comprises a network interface, a housing defining a cavity, a weighted element, a power supply, a data processing unit, a temperature sensor and an accelerometer. The temperature sensor acquires temperature data of the livestock animal. The accelerometer acquires movement data of the livestock animal. The cavity includes a data processing system having at least one processor and memory. The data processing system is coupled with the power source and communicatively coupled with the temperature sensor and the accelerometer. The data processing system transmits, via the network interface, temperature data and movement data. The cavity includes an activation receiver to receive activation signal to activate the data processing system. A livestock management server receives and analyzes the data, along with any data from any additional data sources, and provides output to a user interface.

The invention provides an implementation method of a livestock health intelligent management system. The system comprises a positioning device, a sensing device and a management device. The positioning equipment is uniformly distributed in a livestock activity area, the sensing equipment is worn on livestock, and the management equipment monitors livestock physiological data collected by the sensing equipment. Management personnel can monitor and manage the physical health parameters of each livestock individual in real time through the system, and meanwhile, a livestock real-time positioning function is provided, so that the intelligent level of health management is remarkably improved. The technical scheme of the invention has a wide application prospect in the field of livestock management.

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.

Various examples described herein are directed to systems and methods for providing a treatment substance to an animal. A server may receive from a user computing device an indication of the animal to be treated. The server may access an indication of a treatment substance to be provided to the animal and receive from the user computing device, a first current location of the user computing device. The server may determine that the first current location of the user computing device is more than a threshold distance from an expected location of the animal and, based on the determining that the first current location of the user computing device is more than a threshold distance from the expected location of the animal, send an alert message to an administrative user device.

Tools for smart farming, including devices, management systems and methods of livestock management are provided.

The application provides a kind of intelligent livestock animal positioning method and system based on big dipper positioning, it is related to intelligent livestock and satellite positioning technical field, the original positioning data reported on big dipper positioning terminal worn on livestock animal is obtained in the application;According to the speed change mode of livestock animal, the continuous trajectory points in the original positioning data are classified, and the moving point set and the stationary point set are obtained;The moving point set is input into the motion constraint model for position correction;The trajectory points in the stationary point set are combined with vegetation distribution data and analyzed, and the candidate trajectory point subset is screened out;Fusion multispectral data compensates the propagation deviation of big dipper signal in vegetation cover environment, and the accurate calibration of candidate trajectory point position is completed;Finally, the corrected trajectory points and the calibrated candidate trajectory points are fused to generate behavior space-time trajectory, which can effectively improve the positioning accuracy of livestock animals in pasture environment and provide reliable data support for precise livestock management.

1. The name of the design product: electronic ear tag for livestock. 2. The use of the design product: the design product is used for livestock management and information recording. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The utility model discloses an intelligent ear tag device used for livestock raising monitoring data, through an RFID unit, each animal obtains a unique identity label, individual tracking and management are facilitated, a positioning module tracks animal positions in real time and optimizes pasture layout and grazing strategies, a temperature sensing module continuously monitors body temperature, and the intelligent ear tag device is used for monitoring livestock raising data. Key data are provided for early warning of diseases, the physiological parameter sensing module monitors health conditions in real time and assists culturists in discovering and processing health problems in time, the main control unit summarizes data of all sensors and sends the data to the upper computer through the communication module, remote monitoring is achieved, the management efficiency is greatly improved, and the management cost is reduced. According to the device, the accuracy and the real-time performance of animal husbandry management are enhanced, the animal health monitoring capability and the data collection and transmission efficiency are also remarkably improved, and a solid foundation is laid for intelligent management of animal husbandry.

Provided is a livestock management support method performed by a livestock management support system. The livestock management support system performs: a step of calculating a candidate rearing parameter for improving an objective function, on the basis of at least a part of a rearing parameter and rearing data which is acquired for livestock reared based on the rearing parameter; and a step of outputting the candidate rearing parameter.

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 invention provides a livestock weight prediction method and system, and the method comprises the steps: segmenting a livestock region from a livestock image of livestock to be subjected to weight estimation through an image segmentation model, and converting the livestock region into a convolution feature map through a feature extraction module; inputting the convolutional feature graph into a body size coupling learning network to obtain various body size features of the livestock to be subjected to weight estimation output by the body size coupling learning network; inputting the various body size characteristics into a fusion module in the body size coupling learning network to obtain the body weight characteristics of the livestock to be subjected to weight estimation output by the fusion module; and predicting the weight of the livestock to be subjected to weight estimation through a full connection layer according to the weight characteristics of the livestock to be subjected to weight estimation. The body size information is utilized to guide the deep network to obtain more accurate body weight feature expression, the weight estimation precision is improved, the method can be widely applied to large-scale farms, an efficient solution is provided for intelligent and non-contact livestock management, and the method has high practical value and popularization prospects.

The utility model provides an automatic cattle channel grouping device for a pasture, which relates to the technical field of livestock management and comprises a base, side plates are fixedly mounted on the upper side of the outer surface of the base close to one end, a top plate is fixedly arranged at the top of the side plates, rotating shafts are rotatably mounted on the other side of the upper surface of the base close to two corners, and the top plate is fixedly arranged at the top of the rotating shafts. Partition plates are fixedly installed on one sides of the outer surfaces of the two rotating shafts correspondingly, a sliding groove is formed in one side of the base, when a cow enters the upper side of the base, data are transmitted to a first telescopic rod through a pressure plate, the first telescopic rod can control sliding of a rack according to the weight of the cow, and therefore first gears on the tops of the two rotating shafts rotate in the same direction; and therefore, the two partition plates on one side of the rotating shaft can rotate in the same direction, and the cattle on the base can enter different areas.

This utility model discloses an automatic weighing and pensing device for livestock and veterinary use, comprising: a pensing frame with cleaning openings on the lower part of its two side surfaces; an electronic platform scale installed inside the lower end of the pensing frame; a weighing instrument installed at the center of one end of the pensing frame; a zeroing button installed on the vertical frame at one end of the pensing frame; a pensing ramp installed at one end of the pensing frame, with guardrails installed at both ends of its upper surface, one of which has an input panel installed; and a retractable gate mechanism located at the four corners inside the pensing frame. This utility model utilizes the retractable gate mechanism to avoid touching livestock and causing stress, while optimizing space design and reducing the occupied area. Furthermore, the automatic zeroing of the weighing when the gate is opened effectively ensures weighing accuracy and reduces errors. The input panel allows for the associated storage of weighing data for refined livestock management.