1996 results about "Livestock breeding" patented technology

The invention provides a livestock breeding risk intelligent assessment method and system based on multi-source data fusion, and the method comprises the steps: collecting livestock individual vital sign data, breeding environment parameters, management behavior data and risk-related historical data through Internet of Things equipment, and carrying out the data preprocessing to form a standardized multi-source data set; extracting risk features of individual, group and environment levels based on the data set, and fusing the risk features to form a multi-dimensional risk feature library; utilizing machine learning to construct a differentiated risk assessment model; analyzing the incidence relation between the risk factor and the actual event through the Bayesian network to calibrate the model; realizing livestock risk grade dynamic division and early warning based on the calibrated risk scoring system; and finally, generating intervention suggestions for risk quantitative evaluation, risk prevention and control decision and loss evaluation. According to the method, accurate evaluation of livestock breeding risks is realized, decision support is provided for breeding safety management, and the method has relatively high application value.

The invention discloses a livestock health state real-time monitoring method and system based on the Internet of Things, and the method comprises the steps: collecting livestock biological data and environment parameters through a biological chip ear tag and an environment sensor, and carrying out the preprocessing, and obtaining a standardized multi-dimensional livestock data flow; in combination with image data provided by a video monitoring system, identifying livestock individuals and analyzing behavior features, and fusing biological data and visual data to generate livestock individualized feature vectors; constructing an individualized health baseline model in combination with historical health records; comparing the deviation degree between the current state and the health baseline through an anomaly detection algorithm, and identifying a potential health problem; early warning is performed according to the abnormity severity level, intervention suggestions are generated, early warning information is pushed to the breeding personnel through multiple channels, and response measures and results are recorded to form closed-loop management. According to the invention, accurate real-time monitoring of the health state of the livestock is realized, the accuracy and timeliness of anomaly detection are improved, the breeding risk is reduced, and the production efficiency of animal husbandry is improved.

The invention discloses an intelligent livestock breeding traceability method and system, and the method comprises the steps: building an overall framework of the intelligent livestock breeding traceability system based on a micro-service architecture, and employing Spring Cloud Al ibaaba as a micro-service technology stack; livestock physiological data and environmental parameters are collected through Internet of Things equipment, and a livestock electronic file is established; an AI intelligent analysis engine is constructed, and livestock health state evaluation, oestrus prediction and abnormal behavior recognition are achieved; the whole life cycle data of livestock from breeding to selling is recorded based on the block chain technology, and a full-chain traceability system is constructed. The method further comprises the functions of integrating a financial service interface, designing a multi-terminal collaborative application platform, constructing a matchmaking transaction platform and the like. According to the invention, the problems of data islanding, incomplete traceability system, low intelligent level, insufficient system expandability and the like in the prior art are solved, and the accuracy, traceability and system stability of livestock breeding are improved.

The invention relates to the technical field of spectrum water quality detection, in particular to a livestock breeding water quality detection method which comprises the following steps: acquiring absorption spectrum data of a livestock breeding water body, and acquiring a short-time fluctuation difference value of livestock breeding water at each measurement moment on each wave band absorption spectrum; the method comprises the following steps: based on the deviation between short-time fluctuation difference values of livestock breeding water in each wave band and other wave bands, acquiring short-time interference characteristic values of the livestock breeding water in absorption spectra in each wave band at each measurement moment, and combining spectral data differences of each measurement moment and a plurality of previous measurement moments in the same wave band; determining a water quality change coefficient of the absorption spectrum of each wave band; and according to the water quality change coefficient in combination with the short-time interference characteristic value, obtaining a water quality pollution evaluation value of the livestock breeding water at each measurement moment so as to judge the water quality condition of the livestock breeding water. The detection accuracy of the water quality of the livestock breeding water can be improved.

The invention relates to the cross technical field of computers and livestock breeding, and discloses an intelligent nutrition mode management method and system based on HAP multi-modal data, and the method comprises the steps: obtaining the multi-source heterogeneous HAP data of livestock, and carrying out the feature extraction and feature fusion of the multi-source heterogeneous HAP data; utilizing a controllable generative adversarial network to generate enhanced HAP feature data and an HAP feature data sequence simulating a physiological process; early abnormal signals are detected through an abnormal detection algorithm, and multi-modal attribution analysis is carried out; continuously optimizing the nutrition demand prediction model and the feeding strategy optimization model; according to the method, by effectively utilizing the neglected unstructured information in the past and combining the multi-modal fusion analysis, the early-stage discovery capability of the weak signal for indicating the physiological abnormality or nutritional imbalance of the livestock and poultry is improved.

The invention discloses a cattle manure automatic cleaning device and method for a cattle farm, and relates to the technical field of livestock breeding intelligent equipment.The method comprises the steps that a hexagonal monitoring grid is established based on excretion coordinates, a manure accumulation thermodynamic diagram is established through a three-dimensional space point cloud reconstruction method, and according to thermodynamic value intensity distribution in the manure accumulation thermodynamic diagram, the manure accumulation thermodynamic diagram is obtained; marking a to-be-cleaned area; according to the to-be-cleaned area, dynamically analyzing faeces conductivity characteristics by adopting an electromagnetic eddy current detection method, and generating a cattle faeces viscosity index and a cleaning difficulty coefficient through a multi-physics coupling algorithm in combination with environmental parameters; and according to the excrement viscosity index and the cleaning difficulty coefficient, a control instruction set of the cleaning device is generated through a dynamic adjustment algorithm. According to the invention, by constructing the hexagonal monitoring grid and the excrement accumulation thermodynamic diagram, spatial modeling of excrement distribution and intelligent marking of the cleaning area are realized.

The invention discloses a livestock feed proportioning method based on livestock growth, and relates to the technical field of feed proportioning, and the livestock feed proportioning method comprises the following steps: collecting the body temperature and motion track data and environmental temperature and humidity data of livestock individuals, monitoring the concentration of amino acids in digestive tracts, preprocessing the collected data, and generating a standardized biological data set; analyzing the compensation amount of vitamins and trace elements according to the metabolic fingerprint spectrum, and constructing a multi-objective optimization function in combination with an individual growth curve; solving the multi-objective optimization function through a quantum annealing algorithm, and matching local raw material inventory data of block chain evidence storage to generate an optimization strategy; and executing the optimization strategy and detecting the mixing uniformity, and when the mixing uniformity index exceeds a preset mixing uniformity threshold, starting the compensation device to adjust the optimization strategy. According to the invention, through a cooperation mechanism of dynamic nutritional requirement identification and multi-constraint optimization, the precise regulation and control capability of livestock breeding is significantly improved.

The invention relates to the field of livestock breeding, in particular to a cattle body size performance measurement system based on a binocular camera, which comprises a binocular camera acquisition module, a posture recognition and key point extraction module, a point cloud processing module, a posture correction module and a data processing and optimization module. According to the invention, the binocular camera is combined with an advanced algorithm, so that the measurement efficiency in the cattle breeding process is greatly improved; through cooperative work of multiple modules, reliable data support is provided for cattle breeding; manual measurement is not needed in the whole process, manual operation errors are avoided, the labor intensity of workers is reduced, meanwhile, stress reactions of cattle caused by manual fixing and measurement are reduced, and healthy growth of the cattle and scientization and humanization of breeding management are facilitated; the system can adapt to different light conditions, cattle body types and motion states, can stably and accurately complete body size performance measurement tasks no matter in an indoor breeding environment or in an outdoor pasture environment, and has a wide application prospect.

The invention provides a livestock breeding state monitoring method and system, and relates to the technical field of data processing, and the method comprises the steps: setting an RFID chip and a health monitoring sensor on each animal body; acquiring a multi-modal sensor data sequence of the animal in the time window; preprocessing the sensor data sequence; respectively extracting hidden states of various sensor data sequences through a long-short term memory neural network; based on a self-attention mechanism, adding a self-attention weight to the hidden state at each moment; obtaining intermediate monitoring results corresponding to the various sensor data sequences according to the hidden states and the self-attention weights of the various sensor data sequences; an independent channel is configured for each intermediate monitoring result in the full-connection network; based on a channel attention mechanism, adding a channel attention weight for each channel; and based on the weight of each channel, summarizing various intermediate monitoring results, and determining a comprehensive monitoring result.

The invention relates to the technical field of livestock breeding, in particular to an intelligent feed optimal proportioning method based on pig herd nutrition analysis, which comprises the following steps: S1, collecting stress index data of a pig herd; s2, analyzing the stress level and the stress source of the swinery; s3, dynamically adjusting nutritional requirement parameters according to the stress level and the stress source, and determining nutrients needing to be adjusted under different stress conditions; s4, making corresponding stress mitigation measures based on the stress source and the stress intensity; s5, generating an optimal feed formula meeting the nutritional requirements of the swinery under the stress condition; and S6, converting the optimal feed formula into a production instruction, and sending the production instruction to feed production equipment. By dynamically adjusting the nutritional requirements of the swinery under different stress conditions and combining intelligent feed production equipment, precise feed formula optimization and efficient production are achieved, the feed utilization rate and the swinery health level are improved, and meanwhile the breeding cost is reduced.

The invention relates to an agricultural robot, and discloses an animal husbandry pushing robot autonomous navigation method based on a laser radar, which comprises a microsecond-level multi-sensor time synchronization architecture based on an FPGA (Field Programmable Gate Array); in a navigation layer, seamless switching between the GNSS and the laser SLAM is realized by constructing a virtual fusion observation value by utilizing extended Kalman filtering and a self-adaptive dynamic weight algorithm; in the sensing layer, an RGB-I multi-mode model fused with laser reflectivity and a biological micro-motion detection technology are adopted, and feed and biological obstacles are accurately distinguished; and in the execution layer, flexible self-adaptive material pushing is achieved in combination with material groove edge fitting and force-position hybrid control, and the navigation precision, the operation quality and the safety of the material pushing robot in the all-weather and unstructured pasture environment are effectively improved.

The invention relates to the technical field of conveying devices, in particular to a double-cavity feed conveying method for livestock breeding, which comprises the following steps: SS01, arranging and presetting a conveying device, arranging the conveying device at a specified conveying place, and adjusting the conveying stroke of the conveying device according to the conveying height and conveying stroke requirements of feed after the conveying state is arranged, SS02, conveying, when the conveying device works, drying and screening of the feed are synchronously achieved, and the feed is conveyed to the designated height. The double-cavity conveying device has the beneficial effects that when the double-cavity conveying device works, double-cavity conveying of the conveying device can be achieved through the arrangement of the conveying cavity and the discharging guide cavity, and before the double-cavity conveying device achieves double-cavity conveying, the relative positions of the telescopic cylinder and the rotary cylinder and the inner cylinder can be adjusted by driving the lead screw lifting module according to the conveying length requirement, so that the double-cavity conveying device achieves double-cavity conveying. And therefore, the conveying stroke and the conveying height of the conveying device are adjusted, and the application scenes of the conveying device are effectively increased.

The invention discloses a livestock and poultry health state intelligent evaluation method based on multi-sensor fusion and an AI prediction model, and belongs to the technical field of livestock breeding, and the method comprises the following steps: setting multiple types of sensors in a livestock and poultry breeding area, collecting multi-source data such as temperature, humidity, carbon dioxide concentration, ammonia gas concentration, illumination intensity, weight and current, and carrying out the analysis of the data; wherein the weight data is obtained through the weighing platform, and the current data is used for sensing the operation state of drinking, ingestion, ventilation or lighting equipment; various types of sensors such as temperature and humidity sensors, carbon dioxide sensors, ammonia gas sensors, illumination sensors, weight sensors and current sensors are deployed in livestock and poultry breeding areas, all-directional data acquisition of environments and behavior states is realized, and dynamic modeling and feature extraction of key behavior nodes are realized by introducing a deep neural network structure of a gating circulation unit and an attention mechanism.

The invention discloses an automatic feeding device for livestock feeding, and belongs to the technical field of livestock breeding, the automatic feeding device comprises a bottom plate, a feeding trough is fixed on the side surface of the top end of the bottom plate, a material containing cylinder is arranged right above the feeding trough, and a moving assembly in transmission connection with a servo motor is arranged at the top end of the bottom plate; a discharging barrel communicating with the interior of the material containing barrel is fixed to the bottom end of the material containing barrel, a cleaning assembly is arranged outside the discharging barrel, and a material mixing assembly is arranged inside the material containing barrel; fodder in the material containing barrel falls into the feeding trough at a constant speed through the moving assembly, so that uniform feeding is conducted on the interior of the feeding trough, the utilization rate of the fodder is increased, the feeding cost is reduced, and the overall feeding efficiency is improved; feed is uniformly mixed through the material mixing assembly, auxiliary feed conveying and auxiliary discharging are carried out through the material mixing assembly, the problem of discharging blockage is avoided, the discharging speed of plastic is effectively increased, and it is ensured that good feeding can be conducted all the time.

The invention provides a multi-sensor cooperative stress-free three-dimensional body size measurement method and system for sheep, and belongs to the technical field of livestock breeding, and the method comprises the following steps: collecting the point cloud data of the sheep from multiple perspectives, and carrying out the preprocessing of the collected point cloud data; performing registration and three-dimensional reconstruction according to the preprocessed point cloud data to obtain a sheep three-dimensional point cloud model; performing point cloud repair and attitude correction on the three-dimensional point cloud model of the sheep to obtain a final three-dimensional point cloud model of the sheep; and inputting the three-dimensional point cloud model of the sheep into the trained deep learning model for semantic segmentation and key point detection, and measuring body size parameters of the sheep. According to the multi-sensor cooperative stress-free three-dimensional body size measurement method and system for the sheep, full-life-cycle automatic accurate measurement of body size parameters of the sheep is realized, so that manual intervention is reduced, the stress risk of the sheep is reduced, the measurement precision and efficiency are improved, and technical support is provided for intelligent breeding.

The utility model discloses an auger type automatic feeding line, and relates to the technical field of livestock breeding. The feeding stockline comprises a feeding stockline body, the feeding stockline body comprises a machine shell, a motor is arranged on the left side of the machine shell, a spiral blade is arranged in the machine shell, discharging barrels are fixed to the lower wall of the machine shell in the length direction of the machine shell at equal intervals, moving rods are inserted into the discharging barrels, an air cylinder is arranged behind the machine shell, and a trough is formed below the discharging barrels. The air cylinder drives the moving rod to move back and forth in a reciprocating mode to stir feed to achieve the effect of avoiding blocking, the feed in the feed box can be weighed through the weighing sensor, the step of conveying the weighed feed to the feed box is omitted, and the effect of simplifying operation steps is achieved.

The invention discloses a method for promoting skeletal muscle development and application, and belongs to the technical field of biology. The invention provides a method for promoting skeletal muscle development, an AMPK / p38MAPK pathway is regulated and controlled by activating PPARalpha, the way of activating the PPARalpha is to give a PPARalpha agonist GW7647, and the regulation and control of the AMPK / p38MAPK pathway is shown as reduction of AMPK and P38 phosphorylation levels. Experiments show that the expression of MyoD, MyoG and Pax7 in skeletal muscle can be remarkably improved by activating PPARalpha, the phosphorylation level of AMPK and P38 is inhibited, and therefore muscle fiber proliferation and myoblast proliferation are promoted. The technology can be applied to livestock breeding to improve meat yield or develop drugs for treating skeletal muscle atrophy, and has remarkable economic and clinical values.

The invention relates to the technical field of livestock breeding environment monitoring, regulation and control, and discloses a livestock breeding environment gas dynamic monitoring system. The system comprises a data acquisition module for acquiring data by using a multi-source gas sensor; the gas component analysis module is used for analyzing the data based on a mixed spectrum decomposition algorithm to generate a gas component characteristic matrix; the environment regulation and control decision module inputs the matrix into a multi-mode collaborative decision model to generate a regulation and control instruction; the optimization model construction module is used for constructing a multi-constraint dynamic optimization model to optimize ventilation equipment parameters; and the hierarchical control execution module is used for executing the regulation and control instruction through a hierarchical architecture. The system can comprehensively monitor breeding environment gas, accurately regulate and control ventilation equipment, achieve gas concentration equalization and energy consumption minimization, improve the breeding environment quality, reduce the breeding cost and push intelligent development of the livestock breeding industry.

The invention discloses an extreme thermophilic charcoal complex microbial inoculant and application thereof in aerobic composting of pig manure, and belongs to the technical field of microorganisms. The invention firstly discloses a strain of thermophilic thermophilic bacteria N1209, and secondly discloses an extreme thermophilic biochar complex microbial inoculant, which comprises geobacillus thermoglucosidase BGSC 95A1, bacillus licheniformis ZR-1, the thermophilic thermophilic thermophilic bacteria N1209 and geobacillus stearothermophilus L5. The extremely thermophilic biochar complex microbial inoculant has the characteristic of high temperature resistance, compared with a single microbial inoculant, produced amylase, protease and lipase are higher in activity and show synergistic advantages, decomposition of pig manure can be remarkably promoted, the extremely thermophilic biochar complex microbial inoculant has advantages in the aspects of nitrogen element retention and CH4 and N2O emission reduction in the pig manure composting process, and the extremely thermophilic biochar complex microbial inoculant can be applied to the field of pig manure composting. And a new method is provided for treatment of livestock breeding wastes.

A temperature control device for livestock raising having a temperature setting function according to one aspect of the present disclosure may comprise: a housing; a first connector disposed on one side of the housing, and to which an input cable connected to an input power source is coupled; a plurality of second connectors provided on one side of the housing and coupled to an output cable connected to the heater assembly to supply electrical power, in which the livestock fence is divided into a plurality of regions and each region is equipped with the temperature sensor and the heater assembly, the heater assembly comprising a plurality of heaters; a third connector which is provided on one side of the housing and to which a plurality of sensor cables respectively connected to the plurality of temperature sensors are coupled; and a temperature controller configured to control electrical power supplied to the plurality of heater assemblies.

The invention relates to the field of animal husbandry feeding control, in particular to an automatic feeding method and system based on electromagnetic valve flowmeter data, and the method comprises the steps: collecting a historical water pressure time sequence of a drinking water pipeline; static characteristics and dynamic characteristics of all water pressure characteristics of the water pressure time sequence are calculated, and a feeding error is calculated according to the target feeding water quantity and the actual feeding water quantity collected during feeding every time; the water pressure features are clustered, corresponding initial weights are distributed to the static features and the dynamic features in the clustering process, an evaluation function is constructed according to the difference of feeding errors in each cluster after clustering is completed, and when the evaluation function value reaches the minimum value, an optimal clustering result is obtained; according to the optimal clustering result, the water volume during real-time feeding is adjusted so as to complete water drinking management of the livestock. According to the method, the water quantity during real-time feeding is adjusted according to the optimal clustering result, and a more accurate feeding strategy can be formulated according to different conditions.

The invention discloses an automatic treatment system for livestock breeding sewage, and relates to the technical field of livestock breeding, the automatic treatment system comprises a machine shell and a separation assembly, a bracket is fixed on one side of the machine shell, and the separation assembly is connected to one side of the machine shell; the separation assembly comprises a motor, a stirring rod, a first synchronous wheel, a synchronous belt, a second synchronous wheel, a filter cartridge and a spiral blade. Sewage can flow into the filter cylinder through the sewage inlet pipe and the adjusting pipe, solid impurities such as excrement in the sewage can be separated through the filter holes in the filter cylinder, waste liquid can flow to the lower portion of the machine shell through the filter cylinder, and the waste liquid can flow to the lower portion of the machine shell after being added with chemicals through the chemical adding pipe on the side portion of the machine shell. A motor is started to enable a stirring rod to quickly mix the waste liquid and the medicine, and in the process, the stirring rod can drive a filter cartridge to rotate through a first synchronous wheel, a synchronous belt and a second synchronous wheel, so that solid impurities can be turned over, and the waste liquid can flow out through the solid impurities at the bottom.

The invention relates to the technical field of smart agriculture, and discloses a livestock breeding environment real-time monitoring method, which comprises the following steps: an edge computing node deployed in a livestock farm collects a multi-mode sensing signal and executes edge preprocessing; analyzing the preprocessed signal by using a lightweight feature extraction model and constructing a comprehensive health stress index; edge cloud cooperative training based on federal learning is executed, and the cloud server carries out global model aggregation; generating an updated environment regulation and control strategy, and synchronizing the updated environment regulation and control strategy to an edge computing node through an edge network; and the environment regulation and control strategy is combined with the comprehensive health stress index to generate and execute a regulation and control instruction for environment control equipment in the edge Internet of Things. According to the invention, the limitation of one-sided information of a single data source can be broken through, low delay and high reliability of environment regulation and control are guaranteed, and fine management and intelligent decision-making of livestock breeding are realized.

The invention relates to the technical field of intelligent livestock breeding, and discloses an Euler sheep body condition score automatic identification system and method based on machine vision. Comprising an automatic identification system, and the automatic identification system comprises a region division module, an image acquisition module, an image preprocessing module, a feature extraction module, a multi-dimensional body condition scoring model and a data output and decision support module. Through the arrangement of the automatic identification system, non-contact automatic acquisition and analysis of Euler sheep body characteristics can be realized through integration of a computer vision technology, a deep learning algorithm and an image processing technology, and a multi-dimensional body condition scoring model is constructed in combination with physiological characteristics and growth stages of the Euler sheep. The method is used for accurately evaluating the fat condition, the health state and the fattening potential of the Tibetan sheep. The system can be applied to large-scale cultivation management, precise nutrition regulation and control and efficient fattening strategy formulation of Tibetan sheep in plateau pasturing areas, and provides intelligent technical support for improving Tibetan sheep cultivation benefits and meat quality.

The invention discloses a hog house environment regulation and control method based on AI visual analysis, and relates to the technical field of livestock breeding. The defects in the prior art are overcome. The method specifically comprises the following steps: monitoring internal environment parameters of a pig house and behavior postures of pigs in real time; analyzing the current perceptual comfort level of the pig by using a behavior-environment correlation model; and dynamically regulating and controlling the temperature control environment facility in the hog house according to the analysis result, wherein the monitoring mode of the internal environment parameters of the hog house is realized through an Internet of Things sensor network uniformly distributed at each key position in the hog house. The AI vision and the Internet of Things technology are fused, a closed-loop control system of pig behavior posture-environment parameter-growth performance is established, the pig behavior posture serves as a decision-making basis for regulating and controlling the environment in the pig house, the regulation and control response speed is effectively increased, parameters such as the temperature and humidity in the pig house are intelligently adjusted, and the control efficiency is improved. The pigs are in the best state 24 hours a day, and the production benefits are improved.

The invention provides engineering lyase Art-15 with broad-spectrum antibacterial activity, antibacterial peptide NZ2114 and bacteriophage lyase PlySs2 are subjected to functional fusion through an optimally designed flexible linker, and an efficient bactericidal effect on Staphylococcus aureus (Staphylococcus aureus) and Streptococcus spp.) is achieved. The engineering lyase Art-15 has the advantages that the engineering lyase Art-15 has broad-spectrum antibacterial activity, the antibacterial peptide NZ2114 and the bacteriophage lyase PlySs2 are subjected to functional fusion through the optimally designed flexible linker, and the engineering lyase Art-15 has broad-spectrum antibacterial activity; the lyase Art-15 overcomes the defects of narrow host spectrum and insufficient splitting activity of the lyase through a synergistic destruction mechanism of targeting bacterial cell wall peptidoglycan. Experiments show that the minimal inhibitory concentration (MIC) of the lyase Art-15 on staphylococcus aureus in vitro is lower than 2 mu g / mL, the minimal inhibitory concentration of the lyase Art-15 on streptococcus agalactiae is lower than 1 mu g / mL, the minimal inhibitory concentration of the lyase Art-15 on streptococcus dysgalactiae is lower than 2 mu g / mL, and the sterilization rate of the lyase Art-15 can reach 97% or above within 30 minutes by 2 times of MIC. The lyase Art-15 disclosed by the invention has important application value in the fields of drug-resistant bacterium infection treatment, medical instrument disinfection and livestock breeding.

The invention relates to the technical field of livestock breeding, in particular to a cow dung collecting and cleaning all-in-one machine which comprises a vehicle body, a material collecting box, a liquid collecting box, a filter plate, a material blocking frame, a feeding plate, a discharging plate and a material scraping plate, the vehicle body is fixedly connected with the material collecting box, the liquid collecting box and the filter plate are fixedly connected into the material collecting box, liquid extruded out of cow dung can enter the liquid collecting box through the filter plate, and the liquid blocking frame is arranged in the liquid collecting box. A material blocking frame is fixedly connected to the filter plate, a feeding plate used for pushing the extruded cow dung into the material collecting box is arranged in the material blocking frame, a scraping plate is fixedly connected to the feeding plate, the scraping plate is used for pushing the cow dung to be extruded into the extrusion operation space, a discharging plate is slidably connected to the filter plate, and an opening allowing the cow dung to be pushed out of the filter plate is formed in the discharging plate. According to the machine, the cow dung can be extruded and dewatered in the cow dung collecting and cleaning process, a user can conveniently and directly ferment, store or transfer the dewatered cow dung after collecting is completed, and the cow dung treatment process is simplified.

The invention discloses a production process of grain amaranth fermented feed, and belongs to the technical field of livestock breeding. The method comprises the following steps of raw material preparation, raw material pretreatment, ingredient mixing, fermentation inoculant inoculation, sealed fermentation, fermentation post-treatment and effect verification optimization, by optimizing the production process of the grain amaranth fermented feed, the nutritional value and palatability of the feed are improved, it is ensured that antinutritional factors of grain amaranth are effectively degraded, and the yield of the grain amaranth is improved. Key nutritional ingredients in the raw materials are fully reserved and efficiently absorbed by pigs, the feed intake, the weight gain rate and the feed conversion rate of the pigs are remarkably increased, the content of crude fibers is reduced, the availability of nutrient substances is enhanced, the flavor and the texture of pork are improved, lactic acid bacteria are efficiently utilized and fermentation conditions are accurately controlled in the fermentation process, and the production cost is reduced. The residues of undigested protein and cellulose in the pig manure are reduced, the emission of harmful gases such as ammonia gas and hydrogen sulfide is reduced, and the air quality and sanitary conditions of a farm are improved.

The utility model discloses an egg collecting device for livestock breeding, which belongs to the field of livestock breeding and comprises a breeding cage, an egg collecting slide way is arranged below the breeding cage, and a conveying device is arranged at the outlet end of the egg collecting slide way. Compared with the prior art, the egg collecting device has the advantages that the anti-collision net is installed at the outlet end of the egg collecting sliding way, sliding eggs are decelerated through the anti-collision net, the steering table is driven to rotate by 180 degrees through rotation of the servo motor, so that the anti-collision net is steered, the eggs are ejected out through the telescopic device, the eggs fall onto the conveying device, and the egg collecting device is convenient to use. Therefore, speed reduction and transfer of the eggs are completed.

The invention relates to the technical field of biology, in particular to a primer combination for identifying Leyping spotted pigs and an identification method of the primer combination, six specific SNP molecular markers (SNP1-SNP6) are obtained through whole genome screening, six pairs of specific PCR primers are designed and developed on the basis of the sites, the nucleotide sequences of the primers are shown as SEQ ID NO.1-12, and the primer combination is used for identifying the Leyping spotted pigs. And when the genotypes of the to-be-detected sample at the SNP1-SNP6 sites are CC, TT, TT, AA, CC and GG respectively, the to-be-detected sample can be confirmed as a purebred individual of the Licping spotted pig. Compared with a traditional phenotype identification method, the molecular marker detection system established by the invention has the advantages of high detection efficiency, good accuracy and flux. The technical scheme provided by the invention provides important technical support for genetic resource conservation, variety purity identification and genetic improvement of the Leyping spotted pigs, and has remarkable application value in the field of livestock breeding.