13 results about "Pasture management" patented technology

The present application relates to the technical field of sound recognition, and particularly relates to a sound recognition system for sheep feeding behavior. The technical scheme comprises a sound collection module, a voice enhancement module, a voiceprint feature extraction module, a multi-modal classification module, a data fusion unit, the sound collection module is arranged on a wearable device on the neck of a sheep, is provided with an anti-wind-noise directional microphone array, and is used for collecting environmental sound signals in real time; the voice enhancement module is connected with the sound collection module. The present application realizes accurate recognition and analysis of sheep feeding behavior, effectively solves the problems of sound signal processing in a complex environment, individual and group monitoring, privacy protection and energy supply, not only improves the intelligent level and efficiency of pasture management, reduces labor costs, but also can timely find health problems of sheep, protect the health of the sheep, protect the privacy of sheep data, and improve the energy utilization efficiency of equipment.

The invention discloses a prediction method for dairy cow production health index measurement. The prediction method comprises the following steps: data acquisition: acquiring multi-source data of a target dairy cow; data preprocessing and feature engineering: cleaning, standardization and feature generation processing are performed on the multi-source data, a feature set used for model input is generated based on the processed data, and feature generation comprises generation of heterogeneity correction factors used for correcting management differences between pastures; health character correlation analysis: inputting the standardized feature data set into a pre-trained health character correlation analysis model, and outputting a plurality of health problem prediction probabilities; and health index prediction: the plurality of health problem prediction probabilities and the heterogeneity correction factor are jointly input into a health index calculation model, a comprehensive health index is obtained through calculation, and the heterogeneity correction factor is explicitly introduced into the health index calculation model and is used for correcting prediction deviation caused by pasture management differences.

The embodiment of the invention provides a pasture decision management system and method, and belongs to the technical field of pasture management. The system comprises an equipment end used for collecting multi-modal data and sending the multi-modal data to an edge end; the edge end is used for performing behavior recognition by adopting a behavior recognition model based on the dairy cow image data to obtain dairy cow behavior category data; based on the cow audio data, performing sound classification by adopting a sound classification model to obtain cow barking category data; performing abnormal value filtering and aggregation processing based on the sensor data to obtain aggregated data; the multi-modal data, the dairy cow behavior category data, the dairy cow sound category data and the aggregated data are sent to a cloud end; the cloud is used for storing the knowledge graph; updating the knowledge graph based on the data sent by the edge end; and generating a management decision based on the updated knowledge graph. The system is used for overcoming the defects in existing pasture intelligent decision making.

The invention relates to thymol-containing hoof bath lotion and a preparation method thereof, the hoof bath lotion comprises the following components in percentage by mass: greater than or equal to 22% of thymol, 22%-27% of a non-aqueous solvent, 10%-12% of a transdermal absorbent, 21%-27% of a surfactant, 0.01%-1.0% of a coloring agent, 0.01%-1.0% of a complexing agent and the balance of water, the surface active agent comprises a first surface active agent, a second surface active agent and a third surface active agent, and the number of the transdermal absorbents is at least two. The hoof bath lotion is high in safety, good in stability and free of obvious irritation, hoof diseases in different stages can be effectively prevented and controlled, the administration condition can be visually marked, omission or repeated administration is avoided, and pasture management is facilitated.

The utility model relates to an integrated lactating animal drinking water system of a rotating disc type milking machine, which comprises a storage pressure-adjustable diverter used for storing and adjusting water pressure and water quantity of the system; one end of the flow dividing main pipe is connected with the storage pressure-adjustable flow divider, and the other end of the flow dividing main pipe is connected with the flow dividing branch pipe; the pressure stabilizing flow divider is used for uniformly distributing the water flow of the flow dividing main pipe to the flow dividing branch pipes on the branches; one end of the flow dividing branch pipe is connected with the pressure stabilizing flow divider, and the other end of the flow dividing branch pipe is communicated with one end of the flow monitoring connecting pipe; the connecting pipe with the flow monitoring function is used for monitoring the water drinking amount in real time and feeding back the water drinking amount to the storage pressure-adjustable flow divider; the water drinking bowl is used for providing drinking water for lactating animals. The system has the advantages that the problem of separation of milking and drinking processes in the prior art is solved, the pasture management efficiency and the animal welfare level are remarkably improved, the operation cost is reduced, and powerful support is provided for fine operation of a modernized pasture.

The invention provides a cattle face identity recognition method for a strong shielding scene, and belongs to the technical field of computer vision and intelligent pasture management, and the method comprises the steps: extracting a cattle face region; carrying out cutting and standardization preprocessing on a detection result; inputting the cattle face image into a visual model subjected to low-rank adaptation LoRA adjustment and optimization to obtain a unitized feature embedding vector; calculating an angular distance classification score; calculating the similarity and constructing an open set judgment rule with a unified threshold value, and updating trainable parameters according to combined loss at the same time; a unified threshold value and a prototype library are solidified; and performing descending-order retrieval and judgment on the query samples according to the similarity and the unified threshold. According to the method, the problems that in a real pasture scene, due to cattle face feature representation degradation and score calibration distortion caused by structured shielding and illumination posture changes, the closed set recognition accuracy is reduced, open set unknown individual rejection is unreliable, a threshold value is difficult to stably migrate, and false receiving degradation occurs to a traditional model under strong shielding are solved.

The invention relates to a pasture behavior monitoring method based on image recognition, and the method comprises the steps: collecting pasture image data, and carrying out the animal tracking; in the animal tracking process, behavior characteristic data of animals are extracted; identifying animal behaviors based on the behavior feature data; and carrying out abnormal behavior detection on an animal behavior recognition result. According to the invention, real-time and automatic tracking and behavior identification of pasture animals can be realized, the monitoring efficiency and accuracy are significantly improved, and the labor cost is reduced; animal behaviors are accurately analyzed by using the deep learning model, various behavior states can be quickly identified, abnormal behaviors can be early warned in time, and objective data support is provided for pasture management.

The invention relates to a remote pasture monitoring method based on a 5G network, and the method comprises the steps: employing a plurality of camera devices to shoot a target in a pasture, and obtaining video information; the camera device is powered by solar energy and wind energy, and is provided with a driving circuit for turning on a white light lamp to collect colorful video information; encoding the video information by using an encoder, and transmitting the encoded video information to a remote monitoring end by using a 5G network; and decoding the coded video information based on a decoder of the remote monitoring end, and displaying the decoded video information. Through the pasture remote monitoring method which is more efficient, reliable, low in cost and high in adaptability, the pasture management efficiency and quality are improved.

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.

The utility model relates to the technical field of animal husbandry equipment, and discloses an electric stabbing fence structure for grassland grazing management in an animal husbandry, which comprises a plurality of supporting seats arranged side by side at intervals, a plurality of barbed wires are uniformly distributed on all the supporting seats along the height direction of the supporting seats, the barbed wires are detachably connected onto the supporting seats, and the barbed wires are arranged on the supporting seats. The barbed wires located on the tops of all the supporting seats are induction alarm barbed wires, the barbed wires located on the lower portions of all the supporting seats are electric pulse electrified steel wires, the induction alarm barbed wires are electrically connected with an induction alarm device, and the electric pulse electrified steel wires are electrically connected with an electric pulse generator. The single electric pulse electrified steel wire capable of being electrified is adopted, cost is greatly saved, the cost of the thorn fence is saved by one third compared with that of an electric fence, and under the non-electrified condition, the thorn fence can surround livestock more easily compared with the steel wire.

The invention belongs to the technical field of dairy cow mastitis monitoring, and particularly relates to a dairy cow mastitis multi-mode end cloud joint defense early warning system. The system comprises a risk preliminary screening module used for analyzing collected data through a low-energy-consumption behavior detection method, and completing preliminary screening of mastitis risks and marking of high-risk individuals; the high-risk cattle identification and matching module is used for carrying out matching and identity confirmation on sick high-risk cattle through a cattle body identification method and collecting corresponding video image data; the multi-modal data fusion and diagnosis module is used for fusing and enhancing the motion signals, the body temperature and the video image data features to diagnose mastitis; and the cloud visual monitoring and early warning platform collects all monitoring data, analysis results and early warning information and is used for assisting a manager in early intervention. The method has the characteristics that the early detection rate of the cow mastitis and the pasture management efficiency can be remarkably improved.

The invention provides a cattle video checking system and method for pasture management, and the system comprises an edge end and a cloud end, the edge end collects a cattle herd video stream through a camera, extracts cattle features including appearance, motion and posture features, and generates a local track fragment with a timestamp and spatial information based on an improved ByteTrack algorithm; and the cloud receives the features and the trajectory fragments and then carries out multi-modal feature fusion, constructs a complete cattle trajectory covering the pasture, implements spatio-temporal logic and multi-source data cross verification, and finally generates an inventory report containing cattle number and activity trajectory abstracts. According to the invention, non-contact, automatic and high-accuracy cattle checking is realized, and the efficiency and reliability of pasture management are improved.

The invention relates to the technical field of mobile robot environment perception and autonomous navigation, in particular to a laser radar positioning and three-dimensional reconstruction method adaptive to a pasture complex environment. The partition size and the segmentation threshold value can be dynamically adjusted according to the topographic features of rugged pasture roads, steps, abrupt slopes and the like, so that the over-segmentation rate, the under-segmentation rate and the omission ratio are remarkably reduced; ground point rapid segmentation under a complex terrain, global point cloud accurate registration under a degraded scene and loopback detection based on a space geometric descriptor are realized, and the pose estimation precision and the three-dimensional map construction capability of the mobile robot in unstructured scenes such as pasture and meadow can be obviously improved. The method is suitable for the related fields of intelligent pasture management, grass and livestock balance monitoring and intelligent animal husbandry.