15 results about "Flock" patented technology

This invention relates to the field of migratory bird distribution detection technology, specifically disclosing a method for detecting migratory bird distribution in wetland protected areas based on image sensors, including the following steps: Step S1: Divide the protected area into several sub-regions, set up image acquisition points in each sub-region, acquire migratory bird images in real time, identify the instantaneous number of migratory birds in the images, and simultaneously record the acquisition timestamp and acquisition coordinates; Step S2: Construct a spatiotemporal counting matrix based on the number of migratory birds at different times at each acquisition point, with acquisition coordinates as rows and time as columns, and obtain several basic spatiotemporal patterns and the corresponding linear weights of each pattern through matrix decomposition; Step S3: Based on the change of the linear weights of each basic spatiotemporal pattern over time, identify the migration events of migratory bird flocks between sub-regions, combine the migration events with the spatial distribution preference vectors of each pattern, determine the migratory bird flock gathering areas and migration channels, and generate the final distribution detection results.

This invention discloses a method and system for analyzing the health status behavior of poultry flocks from images, relating to the fields of computer vision and smart farming technology. The method includes: firstly, acquiring monitoring images and extracting the poultry's location coordinates; secondly, dividing the poultry into an active first target set and an inactive second target set based on displacement features; thirdly, constructing a discrete topological network using the first target set to generate candidate spatial gap regions and identifying edge targets; fourthly, generating a biological rejection intensity index based on the head orientation vector of the edge targets, and determining stable rejection regions based on temporal stability; and fifthly, outputting a health anomaly warning when the center of the stable rejection region and the coordinates of the second target set satisfy spatial matching conditions. This invention effectively solves the problem of distinguishing between physiological quiescence and pathological stagnation in high-density farming by analyzing the group's biological rejection behavior to pinpoint abnormal individuals, thus improving monitoring accuracy.

This invention discloses a method, apparatus, equipment, and storage medium for the synergistic blocking of harmful substances in chicken houses. The method includes collecting environmental parameters, physiological states of the flock, and pathogen information from the chicken house; sending the collected information to an intelligent decision-making system; and when parameters exceed thresholds or pathogenic agents are detected, the intelligent decision-making system generates a synergistic control strategy and triggers a coordinated response: a light disinfection system activates a specific wavelength light source to form an effective disinfection area; a ventilation system guides airflow into the effective disinfection area; a drinking water disinfection system adds effective disinfectants and immune enhancers to the drinking water; and the intelligent decision-making system dynamically adjusts the parameters. In this embodiment, the light disinfection system, ventilation system, and drinking water disinfection system not only achieve the effect of a single disinfection method, but also work together to significantly reduce the risk of highly contagious diseases in the flock, ensuring the normal growth of the chickens and avoiding economic losses caused by diseases.

The present application relates to the technical field of image data processing and object positioning and identification, in particular to a method for identifying and analyzing the geographic position of bird flocks by high-definition cameras, comprising: deploying multiple high-definition cameras, collecting video streams in real time and synchronously recording the spatial position parameters and attitude parameters of each camera itself; using an improved YOLOv8 model to detect bird targets in the video; the improvement includes introducing P2 layer feature maps from Backbone and adding corresponding P2 detection heads in the detection head, while removing the P5 detection head. By improving the YOLOv8 model, the present application introduces the P2 detection head to enhance the small target recognition capability, and fuses the observation angles of multiple cameras, uses spatial geometric solution and dynamic clustering technology, and finally outputs the accurate three-dimensional coordinates of the bird flock in the real world. While significantly improving the positioning accuracy and recognition rate, the present application has the advantages of strong system robustness, low deployment cost and easy expansion.

The application relates to a bird flock animation video generation method and system. The method comprises the following steps: constructing a group motion simulation model, and generating three-dimensional space motion trajectory data of each individual in a virtual bird flock changing over time according to the group motion simulation model; constructing a preset state conversion model, and determining a current visual performance state based on the preset state conversion model; for each individual at each time point, generating a two-dimensional image according to the three-dimensional space motion trajectory data and the visual performance state; and combining two-dimensional image frames generated at multiple time points into a video animation. The application closely combines high-fidelity biomechanical group trajectory simulation, individual dynamic visual state simulation based on a Markov process, and a high-quality visual element library, so that a large-scale bird flock animation video with rich details and dynamic reality can be efficiently generated.

This invention relates to the field of poultry farming technology, and more particularly to a method for detecting abnormal feed intake in poultry and a feed additive for poultry farming. The method includes: acquiring continuous images of a target poultry flock within a monitoring period and preprocessing the continuous images; identifying the feeding behavior of individual target poultry based on the continuous images of the target poultry flock, and then constructing the basic behavioral characteristics of the target individuals; extracting the physiological state characteristics of the target individuals based on the continuous images of the target poultry flock; acquiring environmental parameters in real time and constructing an environmental anomaly index based on the environmental parameters, and then establishing a feeding anomaly judgment model for the target individuals by combining the basic behavioral characteristics and physiological state characteristics of the target individuals, and outputting the feeding judgment result; constructing a regional anomaly index for the target poultry flock based on the feeding status of the target individuals, and then issuing an anomaly alarm to the user. This invention effectively improves the efficiency and accuracy of detecting abnormal feed intake in poultry.

The application discloses a multi-scale bird flock target counting and positioning method based on double-branch fusion and dynamic mask. First, a three-step fusion process of "mask filtering-point set merging-fast deduplication" is constructed, which combines the detection frame center point with the regression bird point, both of which have the advantages of accurate detection and positioning of large-scale bird target recognition, and fully utilize the characteristics of strong small target detection and counting of the regression branch DC-Net. Then, the DualGenBlock double-path feature generation module and the ScaleFuser attention fusion module are proposed, which combine dynamic weight adjustment and hierarchical hollow convolution to improve the small target bird feature capture ability and the density map generation accuracy on the basis of lightweight. Finally, the mask generation logic of adaptive calculation of expansion ratio according to the detection frame area is proposed, which realizes accurate shielding of the detected area through the dynamic correlation of the detection frame area and the expansion ratio, and solves the problem of excessive shielding or insufficient shielding of the fixed size mask.

This invention belongs to the field of synthetic biology technology and relates to a poultry bio-compound microbial agent based on high-throughput screening in synthetic biology and its application. This invention constructs a microbial strain library from intestinal environment samples of high-yielding poultry flocks. Under simulated poultry intestinal conditions, high-throughput fermentation and sequencing are used to evaluate the metabolites, pathogenicity inhibition ability, and tolerance of a large number of strains and strain combinations in parallel, screening for functional strain combinations with synergistic effects. Then, the strain ratio and dosage are optimized through poultry animal experiments to produce a poultry bio-compound microbial agent for use in feed or drinking water. The compound microbial agent of this invention can significantly improve poultry growth performance and reduce mortality rates with reduced or no antibiotic use, making it suitable for large-scale green farming promotion.

This application discloses a precise bird strike prevention and control method and system based on aircraft flight location. The method collects real-time aircraft flight data and bird flock activity data, processes the data to extract features, and uses an LSTM model to predict the future trajectory of the bird flock and generate a position probability cloud map. Simultaneously, it dynamically constructs a three-dimensional safety channel centered on the aircraft based on different flight phases; then, it calculates the collision risk probability between the aircraft's future position and the bird flock probability cloud, compares it with a preset threshold to classify the risk level, and finally triggers graded bird deterrence measures based on the risk level. This application achieves precise protection "wherever the flight goes, protection follows," solving the problems of incomplete bird strike prevention and resource waste in existing technologies. It constructs a comprehensive, dynamic, and targeted bird strike prevention system, effectively improving the intelligence level and efficiency of airport bird strike prevention.

The invention concerns an Applicator for the application of a decorative, a caring and / or a pharmaceutical substance to the at least substantially hairless skin, with a substantially rigid applicator body, the application surface of which carries a flock which gives it a softer tactile impression compared to the application surface in the unflocked state, characterised in that the flocking is formed by an array of elastically deformable microelements which are arranged substantially in a defined manner and extend substantially in a defined manner away from the application surface, which are preferably distant from each other, and which protrude outwards from the application surface by a maximum amount of about 10 mm, preferably about 5 mm, more preferably about 2.5 mm and in that the microelements are arranged in straight rows which are parallel to the longitudinal axis of the applicator, and at least two adjacent rows have a different number of microelements.

The application provides a henhouse environment control method and system, and belongs to the technical field of intelligent control. The method comprises the following steps: matching preset environment parameter thresholds with secondary micro-partition data based on chicken growth stage data to obtain partition basic environment control data corresponding to each secondary micro-partition; correcting the partition basic environment control data based on henhouse external environment data to determine partition target environment control data corresponding to each secondary micro-partition; extracting partition environment data in the secondary micro-partition data and comparing and calculating the partition environment data with the partition target environment control data to determine partition environment deviation data of each secondary micro-partition; and determining partition regulation mode data corresponding to each secondary micro-partition based on the partition environment deviation data. The application can improve the environment control level of large-scale chicken breeding and ensure the health of chicken flocks.

Various proxies can be used to qualitatively or quantitatively assess welfare of a poultry flock. For example, as shown and described herein, one or more of a video-based monitoring technique or audio-based monitoring technique can be used. Such monitoring can include a video-based (e.g., image based) technique where indicia of movement of individual members of the flock are automatically tracked. In addition, or instead, an audio-based technique can be used, such as for classification of vocalization. Various metrics can be stored or reported using such techniques and one or more alerts can be generated, such as indicative of flock welfare or a change in flock welfare. Techniques described herein can include identifying paths traversed by respective members of a flock (e.g., individual animals), and then extracting indications such as corresponding to a distribution of such paths. Such paths can be defined by corresponding movement trajectories associated with individual members.

The application discloses an automatic feeding system for self-adapting chicken growth, and belongs to the technical field of livestock breeding equipment. In order to solve the problem that the height of the existing feed line cannot be adjusted automatically and cannot adapt to the dynamic change of the chicken population, the application comprises a liftable feed line, a lifting mechanism for driving the feed line to lift, ultrasonic sensors installed along the length direction of the feed line at intervals, and a controller. The controller is configured to obtain M continuous distance measurement values within a sliding time window for the ultrasonic sensors, calculate the variance, determine that there is a feeding state target when the variance is less than a preset stability threshold, take the mean value of the window as a candidate height value, eliminate the candidate values with a distance value difference from the ground reference distance value less than a preset ground threshold to obtain effective chicken back height values, statistically obtain the average back height of the current chicken population from all the effective chicken back height values, and finally calculate the target feed line height and control the lifting mechanism to adjust the feed line. The application is mainly used in chicken farms to realize self-adaptive adjustment of the height of the feed line.

This invention provides a method for assessing chicken aging based on the PDCD10 gene transcript and its application, belonging to the field of biodetection technology. This invention provides the application of the PDCD10 gene transcript as a marker of chicken aging, and the nucleotide sequence of the cDNA corresponding to the PDCD10 gene transcript is shown in SEQ ID No. 1. The PDCD10 gene transcript of this invention exhibits a continuous and linearly decreasing expression characteristic with increasing age in multiple chicken tissues, showing a consistent molecular change pattern across tissues during aging, which can more accurately reflect the overall physiological aging state of chickens, improving the stability and reliability of chicken aging assessment. This invention can be used for the graded assessment and dynamic monitoring of the aging state of chicken flocks, providing a molecular-level reference for flock management, culling timing selection, and adjustment of feeding strategies during the breeding process.

This utility model discloses a feed spreading device, relating to the field of livestock equipment, including a support mechanism, a feeding mechanism, and a spreading mechanism. The support mechanism includes a first support part and a second support part for connecting to an external structure; the feeding mechanism is connected to the first support part and includes a feeding cylinder with an inlet and an outlet, and a stirring assembly is installed inside the cylinder; the spreading mechanism is located below the feeding cylinder, and its spreading component is rotatably connected to the support mechanism, the spreading component including an elliptical spreading disc and radially distributed spreading plates on the disc. This device, through the cooperation of the elliptical spreading disc and the radially distributed spreading plates, utilizes centrifugal force to achieve differentiated throwing and uniform distribution of feed, which can widely and evenly cover the livestock area, avoid feed accumulation, reduce the difference in feed intake among breeding poultry, and improve the uniformity of feed acquisition for the entire flock.