324 results about "Beef cattle" patented technology

The invention belongs to the technical field of bioinformatics, particularly relates to a computer simulation and regulation method and system for beef cattle fat metabolism, and aims to solve the problems of excessive fat deposition, low feed conversion efficiency, difficulty in multi-objective optimization and the like in existing beef cattle breeding. A multi-scale biological network model is constructed, a computer simulation and prediction engine is developed, an intelligent intervention strategy optimization engine is designed, and implementation and feedback optimization are carried out. By reducing unnecessary fat deposition, improving the feed conversion efficiency and improving the beef quality, the economic benefit of beef cattle breeding is remarkably improved, the requirements of consumers for high-quality and safe beef products are met, and the method has important value for promoting intelligent upgrading and sustainable development of the beef cattle industry.

The invention relates to the technical field of intelligent breeding, and discloses a beef cattle identification method based on multi-scale segmentation optimization and multi-modal data fusion, which comprises the following steps: acquiring beef cattle multi-modal image data, carrying out time-space synchronization and fusion to construct a fusion image, carrying out preprocessing of illumination invariant transformation and multi-scale pyramid construction, and carrying out multi-scale segmentation optimization and multi-modal data fusion on the fusion image; generating an enhanced image, inputting the enhanced image into a depth-guided attention segmentation network to extract double-branch foreground features, generating an initial segmentation probability graph, optimizing a segmentation mask in combination with a conditional random field model and a motion consistency constraint, finally extracting multi-dimensional features from the mask, inputting the multi-dimensional features into a multi-classification support vector machine to perform individual classification reasoning, and obtaining a final segmentation result. And obtaining a beef cattle individual identification result. Therefore, the foreground and background segmentation method applied to the intelligent breeding scene for beef cattle individual recognition is provided, the beef cattle individual recognition precision is improved, and meanwhile the management requirements of commercial breeding for high precision, high stability and multi-scene adaptability are met.

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 behavior feature recognition, in particular to a beef cattle oestrus state monitoring method based on dynamic gait analysis. According to the method, multi-source data acquisition, such as dynamic gait video and body temperature data, video preprocessing, such as frame extraction, denoising, abnormal frame recognition and restoration, target tracking, dynamic gait characteristic parameter extraction, such as step length, step frequency, step speed, joint angle change and body gravity center offset, and life data acquisition, such as diet, body weight change and drinking water. A large oestrus monitoring and recognition model integrating attitude analysis, behavior analysis, living state analysis and an integration module is constructed, and after training and iterative optimization, accurate judgment of oestrus, non-oestrus and wig oestrus states of beef cattle is achieved in combination with ear tag identity recognition. By monitoring the dynamic gaits and behavior modes of the beef cattle and combining daily life data of the beef cattle, the problem of misjudgment caused by wig oestrus is greatly avoided, and the monitoring accuracy is improved.

The invention belongs to the technical field of animal molecular markers, and particularly relates to an SNP molecular marker for beef cattle flavor character breeding and application of the SNP molecular marker. The invention proposes that genotype polymorphism of 84181318bp and 84181699bp on chromosome 3 of an international bovine reference genome AR-UCD1.2 version is related to the character of the content of the beef arachidonic acid for the first time, the genotype polymorphism can be used for evaluating the content of the beef arachidonic acid, and beef cattle with specific genotypes at the two sites has relatively high content of the beef arachidonic acid. The site can be used as a molecular marker for evaluating the content of the arachidonic acid in the beef cattle, early prediction and auxiliary screening of beef cattle individuals with excellent meat quality and flavor characters, and a theoretical basis and a technical support are provided for breeding of the beef cattle with high content of the arachidonic acid in the beef cattle.

The invention relates to the technical field of beef cattle breeding, and particularly provides a beef cattle meat percentage prediction method and system based on dynamic physiology and AI three-dimensional body size fusion, and the method comprises the following steps: obtaining the real-time three-dimensional body size data of a target beef cattle, inputting a pre-training AI weight estimation model to obtain the real-time weight data, and carrying out the timestamp association; acquiring dynamic physiological data, and integrating the dynamic physiological data with the body size and weight data associated with the time sequence into a multi-source time sequence data set; multi-source data space-time alignment is completed through a time sequence attention fusion model, time sequence causal association of body weight, physiology and body size changes is mined through an attention mechanism, and a fusion association feature set is generated; and inputting the feature set into a meat percentage prediction model, and outputting a result containing a meat percentage prediction value and a causal association basis. The method breaks through the limitation of traditional static prediction, dynamic high-precision prediction is realized, the causal basis can support the breeding decision, and the precise breeding level and breeding benefits are improved.

The invention provides a six-axis inertial data behavior identification universal platform method for cattle, pigs, sheep and other livestock, and is suitable for behavior monitoring and management scenes of various livestock and poultry animals. The method comprises the steps of animal identity and species recognition, corresponding behavior recognition template loading, six-axis data feature extraction, behavior judgment and state recognition, recognition result output, platform interface butt joint and the like. Uniform adaptation and efficient processing of different animal types and sampling strategies (including fixed frequency, intermittent sampling, event triggering and the like) are achieved through a modular structure and a parameterized configuration mode. The platform supports continuous expansion of newly added species and behavior templates, can be deployed on edge equipment or a cloud server, has low power consumption, high compatibility and cross-scene applicability, and is suitable for intelligent management requirements of health monitoring, oestrus recognition, abnormity early warning and the like of livestock such as dairy cattle, beef cattle, live pigs, sheep, goats and the like in a farm.

The invention discloses a beef cattle behavior recognition method driven by a multi-modal data fusion model. The method comprises the following steps: constructing a beef cattle behavior recognition video data set and a nine-axis acceleration text data set; constructing a comparative learning behavior recognition network and performing data processing to obtain fusion features; network training; constructing a time sequence dynamic pyramid contrast learning behavior recognition network, and performing data processing to obtain time sequence dynamic multi-modal fusion features; and beef cattle behavior identification is carried out by using the double-identification network. According to the embodiment of the invention, by introducing the comparative learning behavior recognition network and the time sequence dynamic pyramid comparative learning behavior recognition network, high-precision behavior recognition is realized in a real breeding environment, low calculation burden is also considered, and the system can flexibly and efficiently adapt to complex task requirements of various breeding scenes through combination of the two; according to the invention, both precision and efficiency are considered, the accuracy and robustness of identification are improved, and an efficient and stable behavior identification solution is provided.

The feed trough comprises a feeding trough and a feed feeding device, the feed feeding device comprises a feed box arranged above the feed trough, a discharge port is formed in the lower end of the side, close to the feed trough, of the feed box, and a feed outlet is formed in the lower end of the side, close to the feed trough, of the feed box. A feed supply mechanism used for controlling the feed in the feed box to be discharged through the discharge port is arranged at the discharge port, a pressure sensor is installed at the bottom of the feed box and used for detecting the weight of the feed in the feed trough, and when the feed is poured into the feed box, the pressure sensor detects the weight of the feed in the feed box; when the feed in the feed box reaches a certain weight, the controller controls the feed supply mechanism to discharge the feed in the feed box through the discharge port, and the driving mechanism drives the feed box to move back and forth in the length direction of the feeding trough, so that the feed is uniformly put into all positions of the feed trough, local accumulation of the feed in the feed trough is avoided, and the feed feeding efficiency is improved. The beef cattle can conveniently eat.

The invention belongs to the technical field of image processing, and provides a cattle herd density abnormity early warning method based on multi-camera data fusion, which utilizes a multi-camera data fusion technology to convert cattle herd pixel data into two-dimensional coordinates in a unified coordinate system to form a beef cattle global movement track, and meanwhile, divides a field area according to grid units to form a beef cattle density abnormity early warning system. Calculating the density of each grid, delimiting the degree of congestion according to the density, calculating the characteristic values of the grids, introducing a logistic regression model, monitoring and labeling the grids with high characteristic values, combining the grid data and the global motion track, calculating the risk probability, making early warning arrangement according to the level of the risk probability, and counting the false alarm and missing alarm conditions. And retraining the model to complete closed-loop iteration.

The invention relates to the technical field of livestock measurement, in particular to a beef cattle body size intelligent measurement device and method, in the beef cattle body size intelligent measurement device and method, hoof joint point pixel coordinates are converted and angle differences are calculated in combination with a lexicographical sequence block reordering algorithm, identity binding codes are accurately generated, uniqueness and stability of beef cattle individual recognition are ensured, and the accuracy of beef cattle body size measurement is improved. The method effectively reduces the identification confusion risk when multiple beef cattle are measured at the same time, generates a simulation sample through local pixel block rendering and generative adversarial network, screens a sample according with a threshold according to authenticity scores, improves the sample richness, optimizes the coverage of a model training set, extracts body size fields and position coding values, and calculates correlation coefficients between fields. Low-correlation field pairs are removed, only high-correlation fields are reserved for cross combination, a modeling sample pool is constructed, the representativeness of samples and variable combination diversity are enhanced, and the fitting precision and popularization capability of a body size estimation model are improved.

The invention relates to the technical field of image analysis, in particular to a beef cattle feed intake intelligent monitoring and analysis method based on a video stream, which comprises the following steps of: converting a single-frame beef cattle house RGB image in the video stream into a logarithmic chroma space; according to the method, the chromaticity space conversion is performed on the single-frame cowshed RGB image and the illumination and reflection components are separated, so that the shadow interference can be suppressed, the feeding trough area is more stable in the image, the shadow suppression feeding trough image is divided into overlapped blocks, and local structure features and visual saliency features are calculated to generate a priority matrix; the local enhancement process can be adjusted according to actual feature distribution instead of a single global index, the flexibility and accuracy of the local area in contrast adjustment are improved, the self-adaptive contrast limit amplitude is set for different blocks in combination with the enhancement priority matrix, the distinction degree of the feed area and the background is improved, and the contrast adjustment accuracy is improved. And the texture and boundary features in the region are more prominent.

The present application relates to the technical field of beef cattle feeding, and discloses a feeding device for beef cattle feeding and a use method thereof, which comprises a bottom plate, a positioning frame is fixedly installed at the top of one side of the bottom plate, a quantitative feeding mechanism is arranged on the two sides of the positioning frame, an adjustable guardrail assembly is arranged on one side of the positioning frame, a stomach tube fixing assembly is arranged on the outside of the positioning frame, and the quantitative feeding mechanism is arranged on one side of the positioning frame. The quantitative feeding mechanism is used for quantitative discharge of drinking water, liquid medicine, solid medicine and feed by means of a quantitative water supply assembly, a liquid medicine quantitative supply assembly, a solid medicine quantitative supply assembly, a quantitative feed supply assembly and a mixed feeding assembly, and then the drinking water, the liquid medicine, the solid medicine and the feed are mixed and delivered to the stomach of the diseased cattle through a stomach tube. When multiple diseased cattle are encountered, the diseased cattle can be automatically fed by the device instead of manual feeding, so that the work burden of the breeders is greatly reduced.

The utility model discloses a feed mixer for beef cattle breeding, which comprises a rack, a mixing drum for placing feed and a driving device for providing mixing power, the driving device comprises a rolling component for driving the mixing drum to rotate, an adjustable cylinder for adjusting the inclination angle of the rolling component and a control switch, the adjustable air cylinder is arranged to control the inclination angle of the swing support, and the inclination angle of the stirring roller can be flexibly adjusted according to the type and particle size of mixed feed, so that the rolling stirring and mixing effect is improved; by means of the double-roller structure, feed in the stirring roller can be continuously turned over by 360 degrees, stirring dead angles are eliminated, various kinds of feed can be fully stirred and mixed, therefore, the breeding requirement of beef cattle is met, and the device is convenient to operate, high in mixing effect, low in energy consumption and good in practicability.

The application relates to the technical field of beef cattle breeding, and particularly discloses a compound preparation for promoting the feed intake, daily weight gain and improving the meat quality of beef cattle and application thereof, which is prepared from the following components in percentage by volume: 40% of micro-ecological preparation, 30% of hawthorn, 10% of medicated leaven, 10% of malt, 5% of areca nut and 5% of dried tangerine or orange peel; the compound preparation is prepared from microorganisms and multiple natural Chinese herbal medicines in a specific and scientific matching ratio; experiments prove that the compound preparation can increase the feed intake of beef cattle by 11.33%, increase the daily weight gain by 16.16%, and significantly shorten the breeding cycle; meanwhile, the contents of aspartic acid, threonine, glutamic acid, alanine, valine, isoleucine, leucine, tyrosine, phenylalanine, lysine, arginine and proline in the muscle are significantly increased, the nutritional quality and flavor taste of beef are effectively improved, the preparation is natural, residue-free and side-effect-free, the preparation method is simple, the cost is low, and the preparation has extremely high practical value and popularization prospect.

The invention relates to the technical field of animal husbandry low-carbon breeding and precise breeding, in particular to a beef cattle carbon emission data intelligent analysis and breeding decision making system based on artificial intelligence, which comprises a phenotype and carbon efficiency fusion unit, obtains dynamic methane release waveform and rumination rhythm data through an implantable rumen capsule, calculates a carbon efficiency ratio correction value, and calculates a carbon efficiency ratio correction value; the gene editing target prediction unit is used for analyzing waveform key mutation characteristics by using a deep convolution-attention hybrid model, matching an epigenetic marker database, and positioning and hierarchically regulating target genes of carbon effect; a guide ribonucleic acid sequence, a homologous recombination repair template and a base editing scheme are respectively designed aiming at high, medium and low regulation potency targets and are synchronized to a cattle gene editing platform and a phenotype feedback optimization unit, methane release waveforms of offspring are collected in real time, target potency parameters are corrected, accurate positioning and differential editing of carbon effect related genes are realized, and a cattle gene editing result is obtained. The beef cattle low-carbon breeding efficiency is improved.

The invention discloses a preparation method and application of a novel southern beef cattle fermentation bed, belongs to the technical field of beef cattle breeding, and aims to solve the problems that a fermentation bed is easy to harden in a southern high-humidity environment, the utilization rate of agricultural wastes is low and intelligent regulation and control of the fermentation bed are lacked. The novel southern beef cattle fermentation bed comprises an anti-leakage base layer, a fermentation main body layer and an intelligent monitoring assembly, and the fermentation main body layer adopts southern special agricultural waste sugarcane tail leaf straw and mulberry twig straw as padding and is matched with an adsorption conditioner and a compound microbial agent which are matched in a layered mode; a fermentation bed intelligent control system is linked through a LoRa wireless technology, an LSTM algorithm is combined to identify a fermentation stage and a DDPG model is combined to generate a regulation and control strategy, and an intelligent aeration device and a mechanical turning device are controlled to optimize the fermentation environment of the southern novel beef cattle fermentation bed. According to the invention, beef cattle manure in-situ degradation, agricultural waste resource utilization and beef cattle breeding environment intelligent regulation and control can be realized, pollution is reduced, breeding ecology and economic benefits are improved, and the method is suitable for large-scale breeding of beef cattle in the south.

The invention discloses a beef cattle fermentation bed as well as a preparation method and application thereof, and belongs to the technical field of fermentation beds. The invention aims at deeply discussing the influence of the adding proportion of the rape straws on the fermentation effect of the beef cattle fermentation bed, and systematically researching the change rule of the physical and chemical indexes of the fermentation bed when the rape straws and the sawdust in different proportions are mixed as the fermentation bed padding. By monitoring and analyzing the physicochemical indexes of the fermentation bed, scientific basis and technical support are provided for optimizing the formula of the fermentation bed, improving the fermentation efficiency and promoting the sustainable development of the livestock and poultry industry.

The utility model provides beef cattle breeding sewage treatment equipment. Comprising a treatment pond, a discharging opening is formed in the bottom end of the treatment pond, a limiting groove is formed in the inner side of the treatment pond, a sliding rod is fixedly installed on the inner side of the limiting groove, a sliding block is slidably connected to the surface of the sliding rod, and an impurity filtering plate is fixedly installed on the surface of the sliding block. According to the sewage treatment device disclosed by the utility model, the limiting groove, the sliding rod, the sliding block, the impurity filtering plate, the spring, the backing ring, the baffle plate, the motor, the cam, the connecting plate, the sleeve, the ejector rod, the buffer pad and the connecting seat are arranged, so that excrement and large-volume impurities in sewage can be firstly intercepted before sewage treatment; and the motor is started to drive the impurity filtering plate to do high-frequency up-and-down reciprocating motion along the limiting groove, so that impurities intercepted on the surface of the impurity filtering plate can be quickly shaken off under the action of vibration and the inclined plane, and the cleaning efficiency of the impurity filtering plate can be improved.

The invention provides a preparation method of silphium perfoliatum beef cattle breeding feed, and relates to the field of beef cattle feed. The silphium perfoliatum beef cattle breeding feed mainly consists of the following raw materials in parts by weight: 40-60 parts of silphium perfoliatum dry powder; 20 to 40 parts of crop straw powder; 5 to 15 parts of an energy supplement; 1-5 parts of a mineral premix; 0.1 to 1 part of a vitamin premix; the protein content of the silphium perfoliatum dry powder is not lower than 24%, and the crude fiber content of the silphium perfoliatum dry powder is not higher than 18%. The feed is prepared by taking silphium perfoliatum planted without chemical fertilizers and pesticides as a core, performing pretreatment of kneading, drying and crushing, matching straw fine powder in proportion, adding energy supplements, mineral substances and the like for compounding, stirring and granulating. Application shows that the feed is balanced in nutrition, can improve the daily average weight gain of beef cattle, reduce the morbidity, optimize the beef quality and reduce the breeding cost, and is suitable for large-scale beef cattle breeding.

The invention discloses a beef cattle growth prediction method based on multi-source breeding data mining, and relates to the technical field of intelligent agriculture, and the method comprises the steps: carrying out the data cleaning and integration processing of an original multi-modal data set, complementing the missing values in the multi-source breeding original data through a weighted filling method, and carrying out the integrated processing of the data; carrying out dual detection and labeling in combination with a business rule and a statistical method, and outputting an abnormal feature matrix; inputting the abnormal feature matrix into a pre-trained deep neural network, automatically learning and calculating attention scores of different features on the future growth trajectory and the economic benefit target of the beef cattle, and generating the future growth trajectory and the economic benefit index of the beef cattle; the management scheme is optimized in the virtual environment through the reinforcement learning agent, personalized and scientific management suggestions are provided, and the breeding efficiency and economic benefits are improved.

The invention discloses a particle crushed concentrated feed for ruminants and a preparation method thereof, and belongs to the technical field of feed processing, and the preparation process comprises the following steps: crushing and uniformly mixing the raw materials, feeding the uniformly mixed materials into a granulator, tempering by steam, granulating after tempering, and carrying out vacuum freeze drying on the granules to obtain the particle crushed concentrated feed for ruminants. Carrying out ultrasonic treatment, then feeding the granules into a granule crusher for crushing, and finally carrying out screening treatment through a double-layer vibrating screen to obtain middle-size-fraction granules; through the preparation process, the porosity of the feed can be increased, the palatability of the feed and the nutrient retention rate of the feed can be improved, the digestibility of beef cattle to the feed can be improved, and a vacuum freeze-drying and ultrasonic crushing process, a ring die granulator for granulation and a screening process in a specific particle size range are combined, so that the feed quality is improved. The uniformity of the material granularity can be improved, the granularity difference of particles is eliminated, and the pulverization condition of the feed is reduced, so that the net energy utilization efficiency of the feed is improved.

The utility model relates to the technical field of cattle house ventilation, and provides cattle house ventilation equipment for beef cattle breeding, which is convenient for automatically adjusting the air circulation speed according to the conditions of a cattle house, has stronger flexibility, and comprises a mounting ring, a fixed frame, a rotating ring and a variable-speed ventilation assembly, the fixed frame is detachably connected to the mounting ring through the mounting assembly, and the rotating ring is detachably connected to the mounting ring through the rotating ring. A plurality of first connecting plates are fixedly connected to the fixing frame, a fixing plate is fixedly connected between the first connecting plates, a plurality of second connecting plates are fixedly connected to the fixing frame, a fixing cylinder is fixedly connected between the second connecting plates, a rotating ring is rotatably arranged between the fixing plate and the fixing cylinder in a sleeving mode, and the rotating ring is rotatably arranged on the fixing cylinder in a sleeving mode. A plurality of third connecting plates are fixedly connected between the rotating rings, a plurality of ventilation fan blades are fixedly connected to the rotating rings, and the variable-speed ventilation assembly is arranged on the fixed cylinder and comprises a rotating shaft, a connecting rod, a driven gear, a displacement seat and a rotating rod.

This invention relates to the field of smart agriculture technology, specifically disclosing a livestock farming KPI automatic generation system and method based on multi-source data governance. The method includes: S1, decomposing the beef cattle ecological farming industry chain into links, defining multi-dimensional parameters for each link, and determining the technical feasibility range of each parameter; S2, receiving target input from the terminal, including quarterly beef sales targets, carbon emission quotas, and water resource budgets; constructing an objective function based on the target input; calculating initial KPI values ​​at the link level based on the objective function; S3, after completing an execution cycle, acquiring the actual completion data of each link, comparing it with the initial KPI target values ​​generated in step S2, calculating the deviation rate, and dynamically correcting the KPI target for the next cycle according to preset rules. The technical solution of this invention can coordinate multiple resource constraints and achieve adaptive adjustment of indicators.

Provided herein are methods of: increasing milk production in dairy cows post-parturition, improving milking behavior in dairy cows, increasing marbling in carcasses of beef steers, increasing backfat in carcasses of beef steers, and improving USDA quality of carcasses of beef steers.

The utility model is applicable to the technical field of agricultural machinery, and provides a feed treatment device for beef cattle breeding, which comprises a base, a box body and a support frame, the stirring rod is rotationally mounted in the box body and is used for mixing various feeds; the driving chain wheel is arranged at the top of the supporting frame; the chain is arranged on the driving chain wheel in a sleeving mode, and the two ends of the chain penetrate through the supporting frame in a sliding mode; the feeding boxes are arranged on the base, fixing plates are fixedly installed in the feeding boxes, and the fixing plates are fixedly connected with the two ends of the chain correspondingly; and the driving mechanism is arranged on the supporting frame and is used for driving the group of feeding boxes to move up and down. According to the feed treatment device for beef cattle breeding, through cooperation of the chain and the driving mechanism, automatic feed feeding operation is achieved, and the stirring efficiency and operation convenience are improved.

The invention relates to the technical field of image processing, and discloses a steppe pasture beef cattle behavior recognition method based on quadruped robot vision, and the method comprises the steps: firstly receiving a steppe pasture image collected by an image collection device disposed on a quadruped robot; then feature extraction and cattle behavior detection are carried out on the grassland pasture image through the trained cattle behavior recognition model, a cattle behavior recognition result is obtained, and a movement instruction is generated according to the behavior recognition result to control the quadruped robot to move; the trained cattle behavior recognition model is obtained based on improvement of a Yolo v11s model; the Yolo v11s model comprises a backbone network, a neck network and a detection head which are connected in sequence, and the backbone network comprises a StarNet network, an SPPF module and a C2PSA module which are connected in sequence; in the neck network, a feature pyramid structure is replaced by a multi-scale feature focusing extraction network; replacing the detection head with a self-adaptive decomposition and alignment detection head; therefore, multiple beef cattle can be detected at the same time, and the behavior recognition precision of the cattle in the grassland is improved.

The present application belongs to the technical field of feeding management, and particularly relates to a feeding method for relieving stress reaction of long-distance transportation of cattle. The present application realizes the purpose of the present application by feeding the cattle in need of long-distance transportation in the early stage and feeding the cattle with special feeding scheme during and after transportation. The present application is mainly realized by a new idea of compounding herbaceous plants and pasture with high safety factor. It is found through experiments that the herbaceous plants and pasture combined as the feed of the cattle during long-distance transportation can effectively relieve the stress reaction of long-distance transportation of beef cattle.

The invention relates to the technical field of feed fermentation equipment, and discloses feed fermentation equipment and a fermentation method of ensilage for beef cattle breeding, the feed fermentation equipment comprises a storage tank main body, an upper rotating ring is mounted at the top of the storage tank main body, and a limiting support mechanism is mounted in the upper rotating ring. The upper mounting ring and the lower mounting ring are driven by the lifting mechanism to move upwards, and when the upper mounting ring and the lower mounting ring move upwards, the film storage barrels in the upper mounting ring and the lower mounting ring can stretch out to extend; after a new storage section is extended out of the storage thin film barrel, the ensilage can be added into the storage thin film barrel again, the storage thin film barrel is driven to rotate through the lower mounting ring, and the ensilage in the storage thin film barrel is stored in multiple sections; not only can the storage quality of the silage be improved, but also large-scale infection caused by partial decay of the silage in the storage process can be effectively prevented.

The utility model relates to the technical field of crushing, in particular to feed crushing equipment for beef cattle breeding, which improves the crushing effect of the equipment on feed, facilitates subsequent feed feeding operation on beef cattle, and improves the practicability of the equipment. A feeding door is formed in the bottom area of the outer side wall of the smashing bin, a discharging door is installed at the top end of the smashing bin in a communicating mode, a plurality of first blades are transversely and fixedly installed in the smashing bin, two sliding plates are symmetrically installed on the inner side wall of the smashing bin in a penetrating and sliding mode, and a first connecting plate is fixedly installed on the side, located in the smashing bin, of each sliding plate. The two first connecting plates are fixedly connected through second connecting plates, a plurality of second blades are fixedly installed between the two second connecting plates in parallel, and the outer side wall of the rotating disc is rotationally connected with the bottom end of one sliding plate through a rotating rod. And a second crushing mechanism is arranged in the crushing bin.