110 results about "Animal welfare" patented technology

The invention belongs to the technical field of environment regulation and control, and discloses a livestock breeding environment dynamic prediction and regulation and control method based on machine learning. Comprising the following six key steps: firstly, preprocessing multi-source data, and constructing a standardized feature data set; secondly, performing time sequence feature extraction and environment-biological response correlation analysis to obtain a multi-factor interaction network; then, constructing a dynamic coupling model of the environmental parameters and the production efficiency; a multi-target reinforcement learning regulation and control model is constructed based on the animal husbandry production efficiency prediction space; predictive environmental parameter regulation and risk assessment are carried out in combination with real-time monitoring data; and finally, intelligent environment intervention is executed, and a regulation and control strategy is iteratively optimized through production index feedback. According to the method, the breeding environment is converted from passive response to active prediction, complex correlation understanding between environmental factors and biological indexes is established, and multi-target balance optimization of production efficiency, energy consumption and animal welfare is achieved.

The invention provides a method for identifying abnormal behaviors and death states of chickens based on attitude angles, which comprises the following steps of: continuously acquiring three-axis attitude angle signals (namely a pitch angle Pitch, a yaw angle Yaw and a roll angle Roll) by using an inertial sensing device worn on the body surface of a chicken, constructing a low-frequency behavior track sequence, and identifying the abnormal behaviors and the death states of the chicken according to the low-frequency behavior track sequence; and through a set posture change threshold value, posture stability judgment, frequency distribution analysis and a posture imbalance recognition algorithm, whether the chicken is in the states of dysphoria, abnormally static, prostration, stiff head raising or death or not is judged. The method does not depend on acceleration or six-axis fusion signals, has the advantages of being low in power consumption, high in adaptability, easy and convenient to deploy and the like, and is suitable for continuous health monitoring and death early warning management of chicken individuals in a large-scale farm. The method has the characteristics of clear signal input boundary, accurate recognition mechanism, economical system deployment and the like, and the digital management efficiency and the animal welfare guarantee level of poultry breeding are remarkably improved.

The present invention relates to a collapsible brooder structure designed to enhance the efficiency and convenience of poultry housing. The brooder features a unique folding mechanism that allows for easy assembly and disassembly, facilitating compact storage and transport. Central to the invention are a top lid with ventilation openings and secure locking mechanisms, foldable left and right-side portions that divide into halves for collapse, and a segmented bottom portion with folding lines for inward folding. The structure also includes a front portion with a two-door mechanism, providing access while ensuring security with a locking system. A removable tray with vertical edges fits snugly at the bottom, supporting poultry and facilitating maintenance. This innovative design addresses space, transport, and usability challenges in poultry farming, offering a versatile, scalable solution for efficient poultry rearing across various farming scales, thereby improving operational efficiency and animal welfare.

The present invention relates to miRNA biomarkers from milk, such as exosome-derived microRNAs from milk, as an indicator of welfare in bovine animals. In particular, the present invention relates to the identification of heat stress in bovine animals, allowing management measures to be proposed to improve productive animal welfare at individual or veterinary levels.

The present invention relates miRNA biomarkers and in particular to a combination of miRNA biomarkers, 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 individual or the herd levels.

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 invention discloses a laying hen breeding simulation system based on digital twinning, and relates to the technical field of intelligent breeding, and the system comprises a data collection unit which is used for obtaining multi-dimensional state parameters and outputting the multi-dimensional state parameters to a biological state quantification unit; the biological state quantification unit is used for resolving an individual metabolic rate index and a group aggregation entropy; the time delay characteristic analysis unit is used for quantifying and generating a biological response time delay complexity index; the regulation and control instruction generation unit is used for calculating a temperature demand reference value and further generating a final temperature set target value; and the model self-optimization unit is used for predicting a biological state at the next moment, comparing the biological state with an actual observation state after regulation and control execution, generating a prediction error, and carrying out iterative updating on preset weights and coefficients in the system. According to the method, by accurately quantifying the biological state and response characteristics of the laying hens and combining model self-optimization, accurate, flexible and continuous self-perfect intelligent environment regulation and control are achieved, and the breeding benefits and animal welfare are remarkably improved.

The invention provides an animal experiment time-limited feeding method and system. The animal experiment time-limited feeding method and system are applied to an intelligent door control system comprising a feeding box body, an electric control door control channel, a multi-mode sensor array and an intelligent control unit. According to the method, monitoring data streams of animal states and behaviors are obtained through a multi-modal sensor array; implementing execution control of the time-limited feeding mode based on the monitoring data stream and preset parameters; outputting a personalized time-limited feeding intervention strategy based on the execution data and the monitoring data stream; and management and analysis of experimental data are realized through the data management module. The invention further provides a corresponding time-limited feeding system, the system has dynamic adaptability, comprehensive monitoring dimension, high flexibility and deep data integration capacity, the problems that in the prior art, manual control accuracy is poor, intelligent adaptability and data deep mining are lacked are solved, and the system is suitable for large-scale popularization and application. And the accuracy, scientificity and animal welfare level of animal experiments are improved.

This invention discloses a dog lifting device (10) for animals particularly for big breed canine or dogs as a support during medical or surgical procedures but more particularly to a dog lifting device (10) which permits large and heavy dogs to be lifted with relative ease during periods of medical and surgical procedures, temporary or permanent paralysis. The dog lifting device (10) comprises a frame (12), a motored hoist (22) secured to the frame (12), an actuator (24) connected to the motored hoist (22) and a lifting rope (26) operably connected to the actuator (24) with a pulley (26) that translates the horizontal force from the motored hoist (22) to the lifting rope (26) which makes the dog lifting device (10) efficient, safe and easy to use with due regard to animal welfare.

The application discloses a kind of livestock breeding management method and system applying reinforcement learning, it is related to the technical field of animal husbandry, the system is composed of several function modules, including: multi-source perception fusion module, obtains multi-source data by sensor, and the fusion point cloud generated by time-space alignment and point-by-point fusion to multi-source data;Instance segmentation and motion feature guided multi-level association tracking are executed on the fusion point cloud, and multi-dimensional individual features are extracted based on multi-level association tracking;According to the fusion point cloud, the semantic map of pasture gridding is synchronously constructed;Group driving decision module, with the multi-agent of the multiple mobile robots deployed, the multi-dimensional individual features and the semantic map are constructed into state space, the animal welfare risk index is designed based on the state space, and the reward function with navigation safety as weighted item, through multi-agent deep deterministic policy gradient algorithm, obtain the group driving strategy for driving livestock to the group area.

The invention discloses a slaughtered poultry continuous conveying, hanging and fixing device, and relates to the field of poultry processing industry, the slaughtered poultry continuous conveying, hanging and fixing device comprises a hanging piece and a conveying mechanism used for conveying the hanging piece, the hanging piece is provided with a placing part used for placing processed products, and the hanging piece is provided with a baffle capable of rotating relative to the hanging piece; a limiting part used for preventing the machined product from slipping is arranged on the portion, close to the hanging piece, of the baffle, and the whole hanging piece can rotate relative to the conveying mechanism. According to the continuous conveying, hanging and fixing device for slaughtering poultry, the baffles are arranged on the hanging pieces, and the limiting parts on the baffles are used for enhancing the hanging stability of processed products, so that the conveying efficiency of the processed products can be improved on the premise that the hanging stability of the processed products is guaranteed to a certain extent; the overall hanging time of poultry processed products is further shortened, and the related requirements of the slaughtered animal welfare criterion are better met.

The utility model discloses a non-toppling type confrontable abundant feeding device for herbivorous animals, which comprises a non-toppling type base with a hemispherical structure, a stand column shaft is vertically arranged at the center of the surface of the non-toppling type base, and the stand column shaft is detachably connected with the non-toppling type base; the stand column shaft is sleeved with a feeding barrel, and food leaking holes are formed in the outer wall of the feeding barrel. A plurality of branch-shaped stand column suites are further arranged on the stand column shaft above the feeding barrel. According to the feeding device, the non-toppling confrontable base is designed to be of a semi-spherical structure and has the function similar to a tumbler, the whole feeding device can swing back and forth, and when an animal pokes the abundant feeding device to swing, the semi-spherical non-toppling base can also drive the stand column shaft to finally return to the vertical position; the flexibility and interestingness of animal ingestion can be improved, the activities of animals are effectively enriched, the occurrence of engraving behaviors is reduced, and the animal welfare is improved.

The invention discloses an intelligent command and behavior management system for a dog, and relates to the technical field of pet intelligent management, the system comprises a wearable intelligent collar, a cloud server, a user terminal and an optional intelligent interaction device; the wearable intelligent necklace integrates a behavior data acquisition module, a positioning data acquisition module, a behavior intervention module, a wireless communication module and a central control module, and can acquire multi-dimensional data of dogs in real time and execute intervention actions; a pet behavior model library and a parameter optimization module are arranged in the cloud server, intelligent behavior recognition is achieved, and adaptive parameter adjustment is intervened; the user terminal realizes dog state visualization and remote instruction issuing, and the intelligent interaction device completes forward excitation linkage. According to the invention, remote intelligent command, automatic behavior correction and health monitoring of dogs are realized, positive excitation and scientific negative excitation are combined, the training efficiency and human-dog interaction experience are improved, animal welfare is considered, and the system is suitable for daily management and professional training of pet dogs and working dogs.

The invention relates to a beef cattle breeding shed with an automatic manure scraping function, and relates to the technical field of livestock breeding. Comprising a barn body, a cattle bed area, a primary collection ditch and a main manure ditch, and further comprises a suspension type manure scraping device and a trigger type intelligent control system, wherein the primary collection ditch and the main manure ditch are located on the rear side of the cattle bed area; the bottom elevation of the primary collection ditch is higher than that of the main manure ditch, and a plurality of flow guide holes are uniformly distributed in a baffle between the primary collection ditch and the main manure ditch; the ground of the cattle bed area has a gradient towards the primary collecting ditch; the suspended manure scraping device is mounted on the side wall of the fence house main body and is positioned right above the main manure ditch; and the trigger type intelligent control system is used for detecting environment conditions in the barn main body and the main manure ditch and controlling the suspension type manure scraping device to operate according to detection data. According to the system, efficient, energy-saving and intelligent manure cleaning is achieved, the environment of the cowshed is remarkably improved, animal welfare is improved, and source reduction and resource utilization of breeding manure are facilitated.

This invention relates to the fields of animal behavior, animal welfare, and mental health conditioning, specifically a music conditioning system and method for pets and laboratory animals. It is a pure PC-based software system, including an audio editing and playback control module, a music library management module, and a music playback module. The output of the audio editing and playback control module is connected to the input of the music playback module, and the music library management module and the audio editing and playback control module have a bidirectional data connection. This invention precisely matches different animals through three parameters: pitch shifting, speed adjustment, and volume adjustment, significantly improving audio compatibility. The effects of emotional stabilization, anxiety relief, and sleep promotion are significantly better than general music. One-click templates are suitable for quick home use. Customizable visual editing is suitable for pet hospitals, laboratory animal centers, and research institutions to establish standardized programs. Waveform graphs, spectrograms, and acoustic spectrograms are displayed synchronously in real time, allowing users to intuitively judge the audio structure. Adjustment accuracy is improved by more than 80%, requiring no professional audio knowledge.

The application relates to the field of aquatic disease prevention and control, and discloses a Chinese soft-shelled turtle skin rot disease prevention and control method and system. The method is characterized in that a high-definition underwater camera array and a near-infrared spectrum sensing unit are deployed to collect real-time turtle body surface texture images and reflected spectrum data, and identity recognition and behavior parameter extraction are combined to input a double-flow time sequence neural network model for risk probability evaluation. When the risk value of three consecutive periods exceeds a threshold value, a slide rail type isolation hatch is automatically triggered to guide high-risk individuals to be isolated without contact, and a water quality regulation mechanism is linked to block the spread of pathogens. Through multi-modal perception, individualized tracking and intelligent decision-making closed loop, the application realizes super-early warning and precise intervention of skin rot disease, reduces the incidence rate and stress damage, improves the breeding efficiency and animal welfare, and has strong adaptability and engineering popularization value.

The invention pertains to an automated system (20) designed for animal welfare. The system includes heat-detecting imaging devices (210) and an animal welfare robot (200) with a waste collector (220). The imaging devices (210) detect (401) waste (301) material, animals (312), and bedding material (304), and send data (211) to a computational device (400). The computational device (400) processes the data to locate (401) positions of animals (312), waste (301), and bedding material (304). The animal welfare robot (200) receives instructions from the computational device (400) to move and collect waste (301, 222, 500, 223) material from beddings (302) without disturbing animals (312) or colliding with any structures (333). The robot (200) also distributes (230) bedding material (304). The system (20) is designed to operate the robot (200) according to an animal welfare policy for movements (314). The robot is also configured to collect (220) waste (301) from animals (312), distribute (230, 232, 233) bedding material (304), and dump waste (301) at a designated dump area (304).

The application provides a beef full-chain traceability and quality evaluation method and system based on identification sensing, relates to the technical field of intelligent breeding and food quality traceability, and solves the technical problem that the existing technology cannot realize multi-source data fusion analysis and cross-stage quality mapping in the whole breeding process. The method specifically comprises: acquiring multi-source data of cattle; judging the behavior state of the cattle by calculating the activity intensity feature based on the behavior data; estimating the core temperature of the cattle based on the body surface temperature, activity intensity feature and temperature and humidity; calculating the animal welfare index based on the core temperature, activity intensity feature and environmental data; obtaining the fat content and protein content of the beef sample through Raman spectrum detection, and constructing the mapping relationship between the animal welfare index and the fat content and protein content; obtaining the meat quality evaluation index by weighted summation of the fat content and protein content, generating beef product full-link traceability information and visualizing the information. The application is used for beef quality traceability.

The invention discloses a zoo integrated management method and system based on a dual prediction model, the system is constructed based on a four-layer network architecture, animal behavior physiological features and facility environment state features are extracted by collecting data corresponding to deployed sensors, and the data are transmitted to a cloud computing center for processing; and based on the feature data, the cloud computing center predicts the animal health state, the facility remaining service life RUL and the fault through an AI prediction model, and performs cross-domain correlation analysis on the two prediction results. According to the scheme, the early warning precision and timeliness are improved, animal welfare and health guarantee are improved, and meanwhile system deployment and adaptability are optimized.

The present application relates to a kind of dairy cow visible eye white percentage measurement method.The present application is realized by introducing image recognition and intelligent analysis technology, the automatic positioning and proportion calculation of visible eye white area in dairy cow eye image, improve the accuracy, repeatability and operability of measurement, overcome the problems such as low efficiency, strong subjectivity, data difficult to standardize caused by relying on manual observation and manual measurement in prior art, and then provide reliable data support for dairy cow emotion recognition, heat stress monitoring and animal welfare evaluation, promote the development of this kind of research to standardization, large-scale direction.

The invention discloses an intelligent AI biological signal acquisition and analysis system, and belongs to the technical field of biological signal acquisition and analysis. Comprising an experiment preparation module used for animal category determination and parameter presetting, module state detection and environment setting; the experiment target state maintaining module is used for anesthesia management, respiration management, physiological index monitoring, injection position and medicine absorption judgment, animal welfare evaluation and ethical examination suggestion; the experimental data automatic analysis module is used for carrying out real-time data analysis and experimental report generation; the voice and gesture recognition module is used for receiving a voice instruction and a gesture instruction of a user to intelligently control each module; and the remote control module is used for a user to remotely monitor each module through a mobile terminal. According to the invention, the time and error of manually setting parameters are reduced, the animal can be ensured to be in the optimal experiment state, the experiment operation is standardized, and the experiment efficiency and the result accuracy are integrally improved.

The invention discloses a method for culturing calculus bovis by utilizing flora, which is characterized in that cattle gall bladders obtained by slaughtering are used as reaction containers, so that the animal welfare problem caused by living body surgery is completely avoided. A plurality of key steps of bilirubin generation, cholesterol conversion, matrix formation and the like are synergistically completed by adopting functional complementary synthetic flora, and the components of the generated product are closer to a complex system of natural calculus bovis. The breeding is carried out in a closed bioreactor with controllable parameters, uncontrollable factors such as individual cattle difference and feeding environment are eliminated, and the product quality is highly stable and uniform. Automatic monitoring and feedback control are achieved in the whole cultivation process, and technological parameters are accurate and adjustable. The used strains are all non-pathogenic or food-grade safe strains, and the whole process is sterile, free of exogenous pathogen pollution and antibiotic residue risks, and high in biological safety.

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.

The invention discloses a livestock and poultry stress relieving method and system based on olfaction-tactile synergy, and relates to the technical field of intelligent breeding, and the method comprises the steps: collecting behavior, sound, physiology and thermal imaging data of livestock and poultry through a multi-modal sensor, and extracting multi-dimensional feature vectors; calculating a stress comprehensive score by using a multivariate state estimation model and judging a stress level; generating an olfactory and tactile collaborative intervention strategy based on a large language model in combination with the current state and historical data; after intervention is executed, the effect is evaluated in real time through a time sequence deep learning model, and the strategy is dynamically adjusted based on feedback until stress is relieved. The problems that an existing stress intervention mode is single and the effect is limited are solved, multi-mode stress recognition, intelligent collaborative decision making and closed-loop self-adaptive intervention are achieved, and the accuracy, timeliness and animal welfare level of stress relief are remarkably improved.

Milk quality can be compromised by physiological conditions affecting dairy mammals, notably mastitis. Mastitis is an inflammatory disease of the mammary gland that may pose significant health and economic challenges. To address this, a system is proposed for monitoring at least one mammal to predict the onset of a clinical condition, such as, for example, mastitis. The system may be configured to sense one or more characteristics descriptive of mammal-related information, receive sensor data corresponding to those characteristics, and process the data to forecast the onset of mastitis within an upcoming time interval. Early detection enables timely intervention, promoting animal welfare and preserving milk quality.

The invention relates methods for assessing a risk of antibiotic resistance of a microbial community, comparing a risk of antibiotic resistance caused by a plurality of antibiotic resistance genes of a first microbial community and a plurality of antibiotic resistance genes of a second microbial community, stratifying subjects for the treatment with an agent that increases welfare and / or health status of the subject, assessing the effect of a treatment on the antibiotic resistome of a subject or a group of subjects, and the use of the methods for the assessment of animal welfare, animal health, animal performance and / or feed conversion rate (FCR). The present invention also relates to electromagnetic signal, data processing systems, computer programs, and / or apparatuses for carrying out the methods of the invention.

The present invention relates to a highly efficient smart fan system which is developed for farms and barns. The smart fan system according to the invention facilitates remote fault management and fan control in fan systems, aiming to ensure animal welfare. The goal is to increase milk productivity and improve animal health by enhancing animal welfare and air quality.

This invention discloses a method and system for alleviating livestock and poultry stress based on olfactory-tactile synergy, belonging to the field of smart farming technology. The method includes: collecting livestock and poultry behavior, sound, physiological, and thermal imaging data through multimodal sensors to extract multidimensional feature vectors; calculating a comprehensive stress score and determining the stress level using a multivariate state estimation model; generating an olfactory-tactile synergistic intervention strategy based on a large language model combined with current state and historical data; evaluating the effect in real time after intervention using a temporal deep learning model, and dynamically adjusting the strategy based on feedback until stress is alleviated. This invention solves the problems of existing stress intervention methods being singular and having limited effectiveness, achieving multimodal stress identification, intelligent collaborative decision-making, and closed-loop adaptive intervention, significantly improving the accuracy, timeliness, and animal welfare level of stress relief.

This invention discloses a method for predicting sow farrowing using vulvar physiological temporal representation and prototype correction, belonging to the field of intelligent pig farming. The implementation steps are as follows: Collect vulvar image data of the sow standing from 7 days before the expected farrowing date to the day of farrowing and preprocess the data; train the segmentation model YOLOv8 to obtain a vulvar segmentation mask; design a feature extraction network to extract vulvar physiological representations; construct vulvar physiological temporal representation variables using these representations; input the representation variables into a classification network, and predict farrowing based on the classification results. This invention utilizes computer vision technology to segment and extract features from the sow vulva in a low-cost, contactless manner for farrowing prediction. This facilitates timely and accurate monitoring of the sow's farrowing status by farmers, reduces reliance on manual observation, meets the requirements of animal welfare and precision livestock farming, and lays the foundation for research on farrowing prediction based on the physiological representation of the sow vulva.

The present invention belongs to the field of flexible sensing and biosignal processing technology and provides a method and system for identifying the health status of newborn lambs based on flexible piezoelectric sensors. The method comprises: acquiring a subset of newborn lamb biometric features and identifying a final newborn lamb status identification model. The final newborn lamb status identification model is constructed through the following steps: preparing the flexible piezoelectric sensor, acquiring and extracting superimposed biosignals, determining a health index calculation formula and health index intervals, adjusting a first variable parameter, optimizing the input matrix, adjusting a second variable parameter, and selecting the model. The present invention utilizes flexible piezoelectric sensors to non-invasively acquire newborn lamb biosignals, reducing the difficulty of data collection. By constructing the final newborn lamb status identification model, the method accurately identifies the health status of unknown newborn lambs, contributing to improved animal welfare and farm economic efficiency.