5 results about "Livestock management" patented technology

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.

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.

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

This invention discloses a method and system for pig body posture perception based on point cloud completion, belonging to the field of livestock and poultry intelligent perception and 3D point cloud processing technology. This invention acquires 3D point clouds of the pig's body surface from a single viewpoint using a 3D sensor. After denoising, background cropping, downsampling, and coordinate normalization, a standardized missing point cloud is obtained. The missing point cloud is input into a pre-trained Transformer encoder-decoder point cloud completion model. Through a feature interaction learning module combining local geometric and global structural features, and combined with an inverted residual multilayer perceptron module, high-precision completion of the missing regions is achieved. Based on the completed point cloud, 3D reconstruction of the pig's body posture is completed, and multi-dimensional analysis including body size measurement, health classification, and posture recognition is performed. The results are visualized and synchronized to a smart livestock management system. This invention adopts a single-view, low-cost deployment, adapts to the non-rigid deformation of pigs, has high completion accuracy, and strong anti-occlusion ability, making it suitable for pig health monitoring in large-scale smart livestock farming.