1004 results about "Pig breeding" patented technology

The invention discloses a pig breeding intelligent management and control system based on multi-modal data monitoring, and belongs to the technical field of pig breeding management, and the system comprises a data collection and individual recognition module which comprises an RFID ear tag, an inspection robot, an environment sensor and an intelligent feeder, and is used for determining the identity information of a pig individual based on the data collected by the RFID ear tag and the inspection robot, associating the collected multi-modal data of the live pigs in the pig house, and uploading the multi-modal data to edge computing equipment through an MQTT protocol for preprocessing; the feature extraction module extracts physiological and behavior features of live pigs by using a multi-modal deep learning fusion model; the key breeding index analysis module constructs a live pig health index and an environment quality index; the abnormity early warning module adopts a CUSUM control chart to accumulate index deviation and respond to abnormity; the management regulation and control model constructs a Markov decision process by minimizing energy consumption and maximizing health indexes, intelligently adjusts the rotating speed of a fan and a feeding strategy, and realizes precise environmental control and feeding optimization.

The invention relates to the technical field of molecular biology and molecular markers, in particular to an SNP (Single Nucleotide Polymorphism) molecular marker located on a porcine chromosome 14 and related to porcine reproductive traits and application. The SNP site of the SNP molecular marker located on the No.14 chromosome of the pig and related to the reproductive traits of the pig corresponds to the Cgt at the 105043272th site on the No.14 chromosome of the international pig reference genome version 11.1; t mutation is carried out, and the polymorphism of the basic group at the site affects the porcine reproductive traits; wherein the reproductive performance of pigs with CC and TC genotypes is superior to that of pigs with TT genotypes. By optimizing the dominant alleles of the SNP molecular marker, the frequency of the dominant alleles can be increased generation by generation, the reproductive performance of pigs is improved, and the genetic improvement progress of the pigs is accelerated, so that the economic benefit of pig breeding is effectively improved.

The invention discloses a real-time cost management and control method and system for a pig raising enterprise. The method comprises the following steps: collecting structured data of a whole breeding period of boars, piglets and pork pigs in real time; based on the structured data, real-time cost indexes of the boars, the piglets and the pork pigs are calculated through a preset algorithm; comparing the real-time cost index with a theoretical standard value based on experimental field data; comparing the real-time cost index with a future cost threshold predicted by machine learning; when the real-time cost index exceeds the theoretical standard value or the future cost threshold value, it is judged that the cost is abnormal; and executing a corresponding exception adjustment operation according to the type of the exception cost. According to the invention, the technical problems of fragmentization of data acquisition, lagging of cost accounting, insufficient anomaly detection precision and low manual response efficiency in the prior art are solved.

The invention relates to a pig breeding environment early warning management system and method based on the Internet, and the system comprises a data collection and processing module which is used for collecting the environment data of a pig house, the state data of pigs and the operation data of equipment, and carrying out the data processing; the data transmission and communication module is used for transmitting the data acquired by the data acquisition and processing module and sending early warning information to culture personnel; the model construction module is used for constructing an environment prediction model, a disease prediction model and a risk prediction model, and training the three models in combination with the data acquired by the data acquisition and processing module; the early warning management and analysis module is used for inputting the real-time data acquired by the data acquisition and processing module into the three models of the model construction module, analyzing corresponding early warning conditions and performing early warning management; the method is applied to the system. According to the invention, the overall level of the breeding industry is improved through a mode of adapting to the large-scale and intensive trend of pig breeding based on the Internet.

The invention discloses a black pig breeding disease intelligent monitoring management method based on big data, and relates to the technical field of animal husbandry intelligent management and animal disease monitoring, and the method comprises the following steps: obtaining multi-dimensional data information of pigs in a black pig breeding scene in real time through a sensor network, a video monitoring system and a physiological information collection device; the multi-dimensional data collected in real time is preprocessed and standardized, and the original data quality and the data analysis effectiveness are improved. According to the invention, by introducing an adaptive adjustment mechanism, the problem of pathological data loss caused by excessive elimination of abnormal values in the prior art is solved, and accurate retention and dynamic tracking of early disease signals of pigs are realized. The method integrates multi-dimensional feature extraction and intelligent evaluation, has pathological trend perception and processing strategy adaptive adjustment capabilities, effectively improves the early recognition sensitivity and discrimination accuracy of a disease early warning system, and provides more scientific health management support for farms.

The invention discloses an intelligent detection and traceability system and method for pig farm breeding data, relates to the technical field of pig farm monitoring, and aims to solve the technical problems that breeding risks are difficult to estimate and hidden dangers exist in pork quality safety due to the lack of a traceability method and a management system in current pig farm breeding. Comprising a multi-type sensor network, a video monitoring system, a wireless communication network, and data encryption and secure transmission. According to the invention, a traceability system for live pigs from breeding to slaughtering can be established, a convenient traceability query function is provided for consumers through a block chain traceability system and a decision support system, and targeted breeding decision support is provided for farmers. According to the invention, pig farm breeding data can be collected and analyzed comprehensively, accurately and intelligently, and stored and inquired through the block chain traceability platform; and real-time early warning and decision support can be provided for live pig production and breeding of farmers. According to the invention, the modernization and intelligence level of the pig breeding industry can be effectively improved.

The invention relates to the technical field of artificial intelligence, in particular to an intelligent pig raising and selling platform data analysis system integrated with a 4G camera, and aims to solve the problems of data semantic segmentation and space-time mismatching of an existing heterogeneous sensing system. The system comprises an intelligent sensing node deployed in a breeding place and a cloud data analysis platform. The intelligent sensing node integrates an individual identification unit, a multi-modal visual acquisition unit and an edge calculation unit, and realizes data source fusion and information extraction; the data analysis platform constructs individual digital twins, and performs multi-dimensional intelligent analysis through growth prediction, health anomaly detection, market transaction decision and other models. According to the scheme, accurate prediction and optimization decision making of the live pig individual full life cycle data are realized, and powerful support is provided for fine breeding management, health early warning and intelligent transaction.

The invention relates to the technical field of pig breeding, in particular to an SNP molecular marker for identifying pork quality, a primer and application of the SNP molecular marker, the nucleotide sequence of the molecular marker is shown as SEQ ID NO.1, N at the 140th site of the sequence is an SNP site, and the polymorphism is T or C; the unfreezing water loss rate and intramuscular fat content of the pork with the CC genotype are higher than those of the pork with the TT genotype and CT genotype, and the molecular marker can be used for detecting the difference of pork quality and is applied to continuous breeding of the Songhua black pigs and early breeding in production.

The invention relates to a molecular marker which is located at the 47023718th basic group from the 5tail end on a No.16 chromosome of a pig reference genome Sscrofa11.1 and is related to a pig internal farrowing litter weight standard deviation. The invention describes a primer pair and a kit for detecting the molecular marker, and application of the primer pair and the kit in identifying the size of the standard deviation of the litter weight in the pig, screening pig varieties or genetic breeding of the pig. The pig internal litter weight standard deviation of the AA genotype individual is 2.79 kg, the pig internal litter weight standard deviation of the GG genotype individual is 4.38 kg, and the AA genotype individual is obviously smaller than the GG type individual, namely, the pig resilience of the AA genotype individual is higher than that of the GG individual. The AA type individuals are selected, and the pigs with small standard deviation of litter weight and high restoring force in the pigs can be obtained. According to the method, the problem of determining the pig resilience in actual production is effectively solved, the breeding cost is reduced, the pig internal litter weight standard deviation is effectively reduced, so that the pig resilience is improved, the method is high in accuracy and low in detection cost, automatic detection can be realized, and the method has very high practical application value in the aspect of pig breeding.

The invention belongs to the technical field of animal breeding, and particularly relates to application of a detection reagent of an SNP (Single Nucleotide Polymorphism) molecular marker related to pork tenderness. An SNP site exists at the 232bp position from the 5'end of the sequence, the polymorphism is G / A, three genotypes of GG, GA and AA are shown, G allele is dominant allele, and the meat tenderness of a GG type individual is obviously higher than that of an AA type individual. The invention further develops a reagent for detecting the SNP molecular marker, the reagent can be used for pig assisted breeding, pig breeding or pork tenderness identification, and a method for identifying the pork tenderness is developed, which is beneficial to accelerating genetic breeding and early-stage seed selection of boars with high-quality meat traits.

The invention belongs to the technical field of feed additives, and particularly relates to slow-release fat powder for pigs and a preparation method of the slow-release fat powder. The slow-release fat powder for pigs comprises an intragastric adhesion-slow release layer, a small intestine forepart bile acid response controlled release layer and a small intestine posterior microbe response controlled release layer. The prepared slow-release fat powder for the pigs is good in stability, accurate release of different nutritional ingredients in different parts of gastrointestinal tracts of the pigs can be achieved, and powerful support is provided for sustainable development of the pig raising industry.

The invention discloses a pig breeding screening method and system based on a body type database, and particularly relates to the technical field of pig breeding screening. The system comprises a multi-modal sign data acquisition and integration module for collecting and standardizing heterogeneous data sources such as phenotypic signs, genomics and environmental parameters of breeding pigs in real time, and a multi-dimensional biological characteristic modeling and analysis module for analyzing a nonlinear action mechanism among genetic markers, phenotypic characteristics and environmental factors, the genetic potential intelligent judgment module is used for quantitatively evaluating spatial expression potential and intergenerational transmission probability of genetic advantages of the breeding pigs through a deep learning algorithm; and the intelligent screening and dynamic monitoring module is used for establishing a multi-dimensional threshold dynamic regulation and control mechanism to realize accurate elimination decision and continuous optimization of a germplasm resource library. According to the method, the screening accuracy is remarkably improved by designing multi-source data fusion and online optimization capability, meanwhile, mistaken elimination is reduced through a redundant superior species temporary storage management module, and collaborative improvement of population genetic diversity and environmental adaptability is ensured.

The invention relates to a primer of an RBP4 gene molecular marker related to pig weak litter number character and application of the primer, and belongs to the technical field of biology. The RBP4 gene molecular marker is located at the 105043789th base of chromosome 14 of a pig reference genome Sscrofa11.1 version, the base is mutated into A or G, and the genotypes are A / A, A / G and G / G. The number of weak piglets of the G / G genotype pigs is lower than that of the A / G and A / A genotype individuals, and the number of weak piglets of the A / G genotype pigs is lower than that of the A / A genotype individuals. According to the present invention, the forward and reverse primer pair is used to amplify the fragment containing the molecular marker site, and the amplification product is subjected to Sanger sequencing so as to rapidly and accurately identify the genotype of the individual; the molecular marker is used as a genetic marker for pig breeding to breed pigs with less weak piglets; the method can efficiently and accurately detect the weak piglet number character, improves the survival rate of healthy piglets of a pig herd, and has an important value for breeding and production of pigs.

The invention relates to a porcine reproductive and respiratory syndrome virus (PRRSV) dimer nucleocapsid (N) protein (PRRSV N-dimer) and application thereof. The PRRSV N-dimer is formed by connecting N protein amino acid sequences in series through (GGGGS) 3linker. According to the invention, a GGGGS 3linker nucleotide sequence is connected in series with a PRRSV NADC30-like strain N protein gene sequence to construct a prokaryotic expression vector, and a recombinant PRRSV N-dimer is expressed in escherichia coli. Through SDS-PAGE (Sodium Dodecyl Sulfate Polyacrylamide Gel Electrophoresis) and Western-blot detection, the recombinant PRRSV N-dimer obtains soluble expression and can be subjected to a specific reaction with PRRSV positive serum; through detection by a freeze thawing method and an ELISA (Enzyme-Linked Immunosorbent Assay) method, compared with a PRRSV monomer N protein (PRRSV N-monomer), the PRRSV N-dimer protein can be stably preserved, and the immunoreactivity is better. A PRRSV antibody indirect enzyme-linked immunosorbent assay (iELISA) detection method is established on the basis of a PRRSV N-dimer, and can be applied to diagnosis and monitoring of PRRSV infection.

The invention discloses a pig breeding monitoring and behavior intervention method and system based on improved YOLOv11, and relates to the technical field of intelligent breeding, and the method comprises the steps: collecting video data in a pig house in real time through a camera, carrying out the preprocessing, and extracting a key video frame; an improved YOLOv11 algorithm is adopted to construct a pig behavior detection model, key video frames are input into the model for feature extraction, multi-scale features are fused to enhance the recognition capability, a feature map used for behavior classification is generated, and accurate recognition of pig behaviors is achieved through a detection head; and judging whether a pig fighting behavior occurs in a short period according to the pig microscopic behavior characteristics, if so, triggering fighting early warning, when the pig fighting behavior is detected, triggering an intervention mode, and screening an intervention adjustment method from a management decision library according to the pig behavior state and the environment state. According to the invention, accurate identification and active management of pig behaviors are realized, and the identification capability of pig microscopic behaviors in a complex breeding environment is significantly improved.

The invention provides an ecological pig raising system based on intelligent monitoring and precise feeding, and belongs to the technical field of intelligent monitoring and precise feeding. According to the scheme, multiple types of sensors are deployed in a breeding environment, environment parameters are continuously collected, the collected environment parameters are preprocessed and preliminarily analyzed, and the environment parameters are analyzed to be detected; the processed environment parameters are sent to the central processing unit through the network transmission device, the central processing unit analyzes and evaluates the health state of the pigs, an individualized feeding plan is made according to the health state of the pigs, the behaviors of the pigs are monitored in real time, and abnormal conditions are responded. The problems that the quality of the breeding environment cannot be comprehensively known, and the safety and stability of data transmission cannot be guaranteed are solved.

The invention relates to a primer of a GAREM1 gene molecular marker related to the average daily gain character of pigs and application of the primer, and belongs to the technical field of biology. The GAREM1 gene molecular marker is located at the 116131455th basic group of chromosome 6 of a pig reference genome Sscrofa11.1 version, the basic group is mutated into A, and the genotypes are A / A and A / T. The average daily gain of A / T genotype pigs is higher than that of A / A genotype individuals. According to the present invention, the forward and reverse primer pair is used to amplify the fragment containing the molecular marker site, and the amplification product is subjected to Sanger sequencing so as to rapidly and accurately identify the genotype of the individual; the molecular marker can be used as a genetic marker for pig breeding to breed pigs with proper weight; the method can be used for efficiently and accurately detecting the average daily gain character of the pigs, and has an important value for breeding and production of the pigs.

The utility model relates to the technical field of dam spreading pig breeding, and discloses a pig house comprehensive environment automatic measuring device, which comprises a hanger rail and a breeding inspection machine, and the breeding inspection machine comprises a conveyor running on the hanger rail and an inspection box; an inspection camera, a programmable logic controller, an image analysis module, a sound recognition module, an environment sensing module, a communication module and a power supply module are mounted on the inspection box; the environment sensing module comprises a temperature and humidity sensor, an ammonia gas sensor and a carbon dioxide sensor; the environment parameters, such as temperature, humidity, ammonia gas and carbon dioxide concentration, of the pig house are monitored in real time through the sensors and automatically adjusted according to needs so as to maintain the optimal breeding environment, the breeding environment is optimized, healthy growth of pigs is promoted, diseases are reduced, the breeding quality is improved, an automatic system reduces dependence on manual inspection and management, and the breeding efficiency is improved. And the labor cost is reduced.

The invention relates to the technical field of intelligent breeding and logistics optimization control, and solves the technical problems of high energy consumption, unstable efficiency, unbalanced distribution, lack of an intelligent scheduling mechanism and the like in feed conveying of a multi-storey pig farm. The method comprises the following steps: acquiring static parameters (physical characteristics of feed, physical attributes of a conveying system and a pig house structure) and dynamic parameters (real-time feeding requirements, equipment and material states and external environment factors); establishing a multi-objective optimization model of a collaborative optimization energy consumption model E (x), a time model T (x) and a conveying balance degree model U (x); solving by adopting a genetic algorithm with a special design crossover and mutation operator to obtain an optimal scheduling scheme; in the execution process, a closed-loop self-learning calibration mechanism is started, actual power is measured through a current sensor, and when the deviation between predicted energy consumption and actual energy consumption exceeds a preset threshold value, efficiency parameters in the energy consumption model are reversely corrected through a gradient descent method; the weight coefficients of the three models are dynamically adjusted according to the real-time electricity price and the inventory state. The system adopts a three-layer architecture of a perception and data acquisition layer, a decision and control core layer and an execution layer. According to the method, multi-target collaborative optimization and intelligent adaptive scheduling are realized, the total energy consumption is effectively reduced, the transmission time is shortened, the distribution balance degree is improved, and the energy consumption prediction accuracy is remarkably improved.

The utility model relates to the technical field of pig breeding auxiliary devices, and discloses a pig breeding cub breeding box which comprises a box body, a turning plate, a cub breeding frame, a push-pull assembly and a lock catch assembly. A through opening and a push-pull opening are formed in the outer side of the box body, and the turning plate is rotationally installed in the through opening. The piglet feeding box has the advantages that piglets have a rest and grow in the box body and the corner plates and enter and exit from the box body through the entrance and exit for daily feeding, when disinfection and cleaning are needed, only the rotating sleeve needs to be rotated firstly, so that the rotating sleeve is separated from the fixing plate, the plate body can be turned over and opened from the box body, and the interior of the box body is exposed; the handle is rotated forwards, the handle is separated from the inserting groove, then the angle plate is pulled out through the handle, the angle plate is pulled out of the box body, the box body and the angle plate can be conveniently, comprehensively and rapidly cleaned, rapid sterilization is conducted in cooperation with the disinfection assembly, the cleaning difficulty and disinfection dead corners are reduced, and the sanitary condition during piglet breeding is improved.

The utility model discloses a feed mixing and stirring device for pig breeding. The feed mixing and stirring device comprises a mixing assembly, the stirring assembly comprises a hollow annular groove, a rotating disc, a gear ring, a driven gear, a supporting shaft, a driving gear, a rotating shaft, a rotating motor, a first stirring rod and a second stirring rod, the hollow annular groove is formed in the outer side of the bottom end of the cover plate, the rotating disc is rotationally connected to the inner position of the hollow annular groove, and the gear ring is fixedly connected to the bottom end of the rotating disc. The driven gear is meshed with the inner side of the gear ring. A stirring assembly is arranged, a rotating motor drives a rotating shaft to rotate, the rotating shaft drives a driving gear to rotate, the driving gear drives a gear ring to rotate reversely through a driven gear, and a second stirring rod at the bottom end of the driving gear and a first stirring rod at the bottom end of the gear ring rotate forwards and backwards in a feed barrel correspondingly; the feed is prevented from rotating along with the first stirring rod, and the stirring efficiency of the feed is improved.

The utility model discloses a water drinking device for raising pigs, which comprises a bottom plate, the top of the bottom plate is fixedly connected with a water tank and a supporting seat, the top of the supporting seat is fixedly connected with a water tank, a connecting plate is fixedly connected between the water tank and the water tank, and a quantitative water injection structure is arranged above the connecting plate and between the water tank and the water tank. A water circulation structure is arranged below the connecting plate and located between the water tank and the water tank, and the top of the water tank is fixedly connected with a water inlet. Clear water is injected into the water tank through the quantitative water injection structure, freshness of drinking water is guaranteed, after pigs drink water, residual water in the water tank is recycled and filtered through the water circulation structure, large impurities are blocked through the screen, cleaning is convenient, meanwhile, tiny impurities and bacteria in water are filtered through the filter plate, water is guaranteed to be clean, and the water quality is guaranteed to be clean. And the filtered water returns to the water tank again for next use, so that the water resource is saved, and the problems of residual water and impurities in the water tank are avoided.

The invention discloses a future pork pig group weight estimation method and system based on multi-model fusion, and the method comprises the steps: obtaining a historical structural data set of a pork pig breeding complete period, and employing a multi-modal fusion evaluation method of field priori knowledge weighted evaluation, data-driven feature importance calculation and an automatic code analysis tool. Extracting a key factor set influencing the weight of the pork pig, then based on the historical structured data set and the key factor set, respectively constructing an expert rule reasoning model, a data-driven prediction model and a code generation type dynamic model to predict the weight of the pork pig, inputting each model based on real-time data, and outputting a prediction value; weights are dynamically distributed according to historical errors, results are fused, abnormal values are removed in combination with discrete degree detection, and a final fusion prediction value is generated. The technical problem of improving the weight estimation accuracy of the pork pig group in the prior art is solved.

The invention discloses automatic manure cleaning and harmful gas detection equipment and method for a pig house, and relates to the field of pig breeding. The equipment comprises a robot, a control system, a manure cleaning device, a visible light camera, a multispectral camera and a harmful gas monitoring module, the visible light camera and the multispectral camera respectively obtain a visible light image and a multispectral image of the ground of the hog house unit; the control system identifies excrement based on the visible light image, plans an excrement cleaning path through deep reinforcement learning, and controls the excrement cleaning device to clean the identified excrement according to the excrement cleaning path; meanwhile, based on the visible light image and the multispectral image of the ground of the hog house unit, the health monitoring result of the hog in the hog house unit is output through a support vector machine. The harmful gas monitoring module monitors the concentration of harmful gas in the hog house unit in real time; the control system gives an alarm when the harmful gas concentration monitored in real time is larger than a concentration threshold value. The automation degree of hog house management can be improved, and the labor cost is reduced.

The invention belongs to the technical field of animal breeding, and particularly relates to application of a detection reagent of an SNP (Single Nucleotide Polymorphism) molecular marker related to pork quality traits. Basic groups at 208bp and 217bp from the 5'end of the sequence have synchronous C / T mutation, the sequence shows three genotypes of CC, CT or TT, T allele is dominant allele, and the intramuscular fat content of the TT type pig is greater than that of the CC type pig. The invention further develops a reagent for detecting the SNP molecular marker, the reagent can be used for pig assisted breeding, pig breeding, pork quality character identification or pork quality character screening, and a method for identifying the intramuscular fat content of pork and screening pork with rich intramuscular fat is developed.

The invention provides application of a pig STR molecular marker combination in pig individual identification, a kit and an identification method, relates to the technical field of biology, and develops an STR molecular marker combination for accurate identification of pig individual identification by applying a whole genome association analysis method for 18 wild boar varieties and 42 domestic pig varieties. By detecting the combination, individual identification and genetic identification can be accurately and efficiently carried out on a to-be-detected pig sample, and when the minimum set number of the selected STR marker is 6, individual distinguishing can be carried out. According to the scheme provided by the invention, by comprehensively analyzing the STR typing result, the parent-child margin determination and individual identification of the pig can be effectively carried out, so that the pedigree accuracy in pig breeding work can be improved, the breeding process is accelerated, and the method has good application prospects and economic values.

The invention belongs to the technical field of intelligent breeding and robots, and particularly relates to a pig house robot health monitoring and early warning system for a pig raising platform. The system aims to solve the problem of early warning lag caused by discontinuity of existing monitoring data. The system comprises a static sentinel node subsystem which is used for continuously collecting data at high frequency, generating an abnormal score and sending a triage request; the mobile diagnosis and service unit subsystem is used for performing autonomous diagnosis after receiving the request, acquiring individual accurate data and generating a report; and the central control and prediction subsystem is used for fusing data, constructing a space-time atlas model, predicting epidemic disease transmission and generating prospective early warning. By means of the system, 7 * 24-hour uninterrupted monitoring of swinery is achieved, data faults are solved, common screening-fine diagnosis cooperation is formed, a space-time diagram neural network is used for providing prospective early warning, and an epidemic disease prevention and control gateway is remarkably advanced.

The application relates to the technical field of ecological pig breeding, and through the structural setting of a breeding component, ecological pig breeding work is facilitated; a third control motor controls the rotation of a conducting belt, ecological pigs can move, stains are transmitted through the conducting belt, can be guided to the guide and discharge pipe and the grid guide and discharge seat for guiding and discharging, a pressurizing control seat controls the extension and retraction adjustment of a scraper through a hydraulic connection seat, so that the scraper can contact the conducting belt to clean the surface of the conducting belt, and an electric control hydraulic telescopic rod changes the height of a support rack through extension and retraction, so that the support rack drives the bottom supporting plate to move, so that the conducting belt, the fixed side block and the third control motor can move in coordination, facilitating maintenance work; through the structural setting of a massage processing component, ecological pig massage work is facilitated; a massage sleeve rod rotates on a bearing seat through a rotating control rod, can contact the ecological pigs to massage the ecological pigs.

The invention provides a multi-robot cooperative manure cleaning method and system and electronic equipment. The system comprises a communication server subsystem, a driving robot subsystem, an inspection robot subsystem, a manure cleaning robot subsystem, a main controller system, an environment monitoring robot subsystem, a two-dimensional code positioning subsystem and a disinfection robot subsystem. The method comprises the following steps: acquiring environment information in a live pig breeding area and position information of at least one excrement through an inspection robot; acquiring a cleaning path of the excrement cleaning robot according to the environment information and the position information of the at least one excrement, wherein the cleaning path passes through the position of the excrement; and finally, the manure cleaning robot is controlled to clean manure in the pig breeding area based on the cleaning path. The excrement in the breeding area is automatically cleaned, so that the breeding convenience is improved, the working efficiency is improved, and the labor cost of breeding is reduced.

The invention belongs to the technical field of molecular biotechnology and molecular markers, and particularly relates to an SNP molecular marker located on a pig RBFOX1 gene locus and related to ingestion behavior characters and application of the SNP molecular marker. An SNP site of the SNP molecular marker corresponds to the 35094559 Ggt on a chromosome 3 of a reference sequence of an international pig reference genome version 11.1; t mutation. By optimizing the dominant alleles of the molecular marker, the frequency of the dominant alleles can be increased generation by generation, the average daily ingestion times of pigs can be reduced, the average ingestion time of each time can be increased, and the feed conversion efficiency of the pigs can be improved. The breeding of the excellent boars with the characters is beneficial to accelerating the progress of genetic improvement of the boars and improving the economic benefits of pig breeding.