567 results about "Pasture" patented technology

The invention discloses an SNP molecular marker related to the conception rate of young cows, a detection product and application of the SNP molecular marker, and belongs to the technical field of dairy cow breeding markers. The SNP molecular marker is chr6: g. 103355581Cgt, and the SNP molecular marker is a molecular marker. The method comprises the following steps of: taking a bovine reference genome version UMD3.1 as a standard for a coordinate position, numbering Assessment in NCBI (National Center of Biotechnology Information) as GCF000003055.6, and numbering a chromosome as AC 000163.1; the young cows are cows which are 12-24 months old and do not lay calves. By detecting the genotype of the SNP site, the conception rate condition can be effectively judged, parent individuals with the higher young cow conception rate can be screened, early selection of genotype individuals with the high young cow conception rate is achieved, the frequency of the genotype with the high young cow conception rate in a dairy cow group is increased, and the reproduction rate of the dairy cow group is increased; the service life of cows is prolonged, the treatment cost is saved, the breeding cost is reduced, and the pasture income is increased.

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 provides a marine ranch water quality management method and system, electronic equipment and a storage medium, and the method comprises the steps that a water quality monitoring device, an edge computing terminal and a water quality adjusting device are arranged on a navigation mark in a marine ranch in advance, and the edge computing terminal obtains water quality parameter data of the marine ranch at a plurality of continuous moments; the water quality parameter data is collected through a water quality monitoring device, and if the water quality parameter predicted value exceeds a preset water quality normal range, a target adjusting amount is determined based on the water quality parameter predicted value; the water quality adjusting device adjusts the water quality according to the target adjusting quantity; near-end water quality prediction and water quality deterioration accident treatment can be completed at the navigation mark, the defect that water quality data cannot be monitored in real time and water quality deterioration accidents cannot be treated in time due to the fact that the time interval of Beidou satellite data transmission is long is overcome, and ecological risks and economic losses are effectively reduced.

The invention relates to the technical field of energy system optimization and low-carbon economy crossing, in particular to a low-carbon agricultural and pastoral park energy system operation evaluation method considering electricity-carbon transaction, which comprises the following steps: S1, constructing an agricultural and pastoral park energy system operation model based on the energy supply and demand characteristics and morphological structure of an agricultural and pastoral park; s2, calculating the carbon emission intensity of the main network based on a carbon emission flow theory, and establishing an actual carbon emission responsibility model of the agricultural and pastoral park; s3, based on the carbon emission responsibility model of the agricultural and pastoral park energy system and the operation model of the agricultural and pastoral park energy system, in combination with the influence of renewable energy power generation on the total carbon emission amount, establishing an agricultural and pastoral park energy system economic operation evaluation model considering the electricity-carbon transaction; and S4, solving the economic operation evaluation model of the agricultural and pastoral park energy system, obtaining an optimal operation strategy of the agricultural and pastoral park comprehensive energy system, and realizing operation of the agricultural and pastoral park comprehensive energy system. The total amount of carbon emission is effectively reduced, and the economic cost caused by carbon emission is reduced.

The invention provides a cattle type state analysis method and device, computer equipment and a storage medium, and belongs to the field of farming and pasture breeding, and the method comprises the steps: constructing a plurality of different pre-training models and a multi-feature fusion decision model, fusing the parameters of the plurality of different pre-training models in the multi-feature fusion decision model through an LoRA technology, and obtaining a multi-feature fusion decision model; obtaining a target model; training the target model to obtain a cattle type state analysis model; obtaining the temperature, image, voiceprint and historical record data of cattle in a farm and pasture field; and respectively inputting the temperature, the image, the voiceprint and the historical record data into a cattle state analysis model, and outputting a cattle prediction state. Thus, it is ensured that the state information of the cattle is comprehensively captured from multiple dimensions, features from different modes are rapidly fused, the problem of isolated analysis of single-mode data is solved, and the accuracy and real-time performance of recognition are improved.

The invention discloses intelligent pasture livestock health monitoring equipment. The equipment comprises a vital sign monitoring mechanism worn on the legs of livestock, a behavior monitoring mechanism worn on the neck of the livestock and an environment monitoring mechanism vertically extending and arranged on the pasture ground; the vital sign monitoring mechanism comprises a vital sign monitoring fixing ring, a vital sign monitoring supporting shell with an upward opening is connected to the vital sign monitoring fixing ring, and a plurality of body temperature monitoring sensors are connected into the vital sign monitoring supporting shell; a pulse monitoring through hole penetrating in the radial direction of the physical sign monitoring fixing ring is formed in the side face of the physical sign monitoring fixing ring, and a pulse monitor is arranged at the pulse monitoring through hole; the behavior monitoring mechanism comprises a conventional monitoring camera, a high-speed monitoring camera and an infrared monitoring camera; the equipment can accurately collect various physiological data of livestock, such as body temperature, heart rate, respiratory rate and the like, as well as behavior data, such as activity amount, ingestion time, rumination times and the like, so that the accuracy and reliability of the data are ensured, and an accurate basis is provided for evaluating the health condition of the livestock.

The utility model discloses a small square bale double-bale-outlet picking and baling machine which comprises a machine frame, a conveying and feeding device, a driving device, a gear box, a compressing and cutting device, a baling chamber and a baling needle device, and the conveying and feeding device, the driving device, the gear box, the compressing and cutting device, the baling chamber and the baling needle device are arranged on the machine frame. A vertical moving cutter is further arranged in the middle of the rear end face of the compressing and cutting-off device, a vertical fixed cutter device and a bale separating plate located behind the vertical fixed cutter device are further arranged on the inner side of the bale pressing chamber, and when the compressing and cutting-off device is controlled to do reciprocating motion, the vertical moving cutter on the compressing and cutting-off device and the vertical fixed cutter device in the bale pressing chamber form a shearing effect. The device is used for horizontally and vertically cutting pasture or crop straw synchronously, and bundling and compressing the cut pasture or crop straw into square bundles. When forage grass or crop straw is harvested, the combined operation of picking, conveying, feeding, compressing, baling, bundling and the like can be completed, two bales can be output at a time, a large bale can also be output, and the bale density and the operation efficiency are improved.

The invention relates to the technical field of carbon footprint accounting, in particular to a marine ranch carbon footprint accounting system and method, and the system comprises a data collection module which is used for collecting carbon emission and carbon fixation related data in the stages of construction, operation, maintenance and breeding; the carbon emission accounting module is used for calculating carbon emission of construction materials, energy consumption and equipment operation in stages; the carbon immobilization accounting module is used for obtaining the total carbon immobilization amount by calculating the carbon immobilization capacity of the cultured species; the life cycle prediction module is used for predicting the change trend of carbon emission and carbon fixation in the future based on the historical data and the growth or attenuation rate; the correction module dynamically adjusts a prediction result in combination with actual monitoring data; and the report generation module is used for outputting a full-life-cycle carbon footprint trend chart and a carbon neutralization target suggestion. According to the system, accurate accounting of the carbon footprint of the whole life cycle of the marine ranch is realized, the defects in the prior art are overcome, and a scientific basis is provided for carbon neutralization path planning of the marine ranch.

The invention discloses a bacterial synbiotic beneficial to growth promotion of pasture in saline-alkali soil and application of the bacterial synbiotic. The bacterial synbiotic is a combination of bacterial strains NAU-RHO, NAU-MIC2 and NAU-FLA4 with 4-guanidinobutyric acid. The bacterial strains NAU-MIC2, NAU-FLA4, NAU-RHO are respectively classified and named as microbacterium laeviniform, Flavobacterium anhuiense and Rhodococcus oxyrhenium, and the research result shows that the bacterial synbiotics can be used for improving the salt tolerance and growth promoting effects of the bacteria on the medicago sativa and promoting the high yield of the medicago sativa in the saline-alkali soil.

The invention relates to the technical field of Internet of Things, in particular to a dynamic monitoring and management system for promoting the grass and livestock conversion rate of grazing Tibetan sheep. The system comprises an upper computer and a lower computer, data intercommunication is realized between the upper computer and the lower computer, and the upper computer comprises a data storage module, a data analysis module, a model generation module and a visualization module; the lower computer comprises a sample label unit and a data acquisition unit. According to the method, through a three-in-one label system, a grassland nutrition space distribution diagram obtained through remote sensing inversion is associated with the grazing track and the weight increment of a single sheep wearing a GPS positioning ring in real time, and online calculation of the single-sheep-level grass and livestock conversion rate is achieved in the alpine pasture of the Qinghai-Tibet Plateau for the first time; the system can automatically discriminate the grassland type having the highest contribution to the weight gain of the Tibetan sheep with specific gender and age and the dominant grass species composition, and generates an electronic fence with nutrition scores to guide herdsmen to accurately move grasses.

The invention relates to a sand-fixing and water-retaining agent and a method for preventing and repairing grassland desertification by using the same. The sand-fixing and water-retaining agent is mainly prepared by compounding the following components: polyglutamic acid, a compound biological enzyme preparation and compound vitamins. The method comprises the following steps: (1) enclosing: enclosing a potential desertification grassland area and forbidding grazing; (2) spraying a water-retaining agent and sowing grass seeds: blending the sand-fixing and water-retaining agent with water according to the size of a potential desertification grassland area in summer of the first year, and immediately sowing the grass seeds after spraying operation; and (3) recuperating: repeating the operation of the step (2) within 2-4 years from the next year, and reseeding grass seeds in an area which is not recovered in the previous year. The sand-fixing and water-retaining agent is friendly to grassland environment, harmless to animals and plants and low in cost. The method disclosed by the invention is simple and convenient to operate, the pasture grows and recovers quickly, and the purpose of preventing grassland desertification is achieved.

The invention relates to a grass seed mixed sowing machine for grassland, which comprises a mixing tank, rollers are arranged at the edge of the lower end of the mixing tank, a connecting cylinder is arranged on the outer side wall of the mixing tank, a seed storage container is arranged at the upper part of the inner wall of the connecting cylinder, and a partition plate is arranged in the seed storage container. A partition plate is arranged in the seed storage container and divides the seed storage container into two seed storage grooves, a discharging hole is eccentrically formed in the bottom wall of each seed storage groove, a rotating shaft is rotationally connected to the center of the bottom wall of each seed storage groove, the rotating shafts are sleeved with sleeves, the lower ends of the sleeves are in lap joint with the side wall of the mixing groove, and cam rings are arranged on the outer walls of the sleeves; the upper end of the sleeve is in lap joint with a turntable, a lower guide cylinder is eccentrically arranged on the turntable, the lower end of the lower guide cylinder is hinged with an end cover, and the end part of the end cover is provided with a circular bulge which is in close contact with the cam surface of the cam ring; two kinds of forage grass seeds can be mixed in proportion, the advantages of different kinds of forage grass are fully played, the defects of the forage grass are avoided, and the purpose of advantage complementation is achieved.

The invention provides an ecological pasture cow breeding and health management method and system based on meteorological data, and relates to the technical field of cow breeding and health management. The method comprises the steps of collecting meteorological data and dairy cow breeding basic data in real time; key meteorological factors influencing cow breeding are extracted; defining a meteorological appropriate threshold value corresponding to each breeding stage; cattle herd screening adaptive to weather is realized; selecting a time period with proper temperature to carry out hybridization operation; formulating meteorological guarantee schemes according to pregnancy stages; and quantifying the influence of meteorological conditions on the breeding core indexes, and optimizing a breeding plan and resource allocation based on an evaluation result. Through a perfect dairy cow breeding management process, the breeding resource utilization efficiency is improved, a traceable and iterable analysis framework is provided for breeding plan optimization, the precise and efficient development of ecological pasture breeding management is promoted, the cost of a pasture is reduced, and meanwhile, the population quality and economic benefits are improved.

The invention belongs to the technical field of intelligent animal husbandry and biosensing, and discloses a health assessment system and method based on cattle rumination voiceprint recognition, and the system comprises an intelligent necklace terminal, an edge calculation unit and a cloud health assessment engine. The intelligent necklace integrates voiceprint collection, jaw movement perception and environment compensation units, and obtains ruminant voiceprint, jaw movement and environment data of cattle in real time; the edge calculation unit optimizes voiceprint signals through a dynamic noise suppression module in combination with environmental parameters, and synchronously analyzes voiceprint and motion features by using a feature joint extraction module; and the cloud end adopts a lightweight hybrid model to perform state classification on ruminant voiceprints, fuses motion features and environmental data to generate health indexes, and triggers early warning or links a feed library to generate an accurate feeding scheme. The cattle digestion health real-time monitoring system realizes cattle digestion health real-time monitoring through non-intrusive voiceprint sensing and multi-modal data analysis, and is especially suitable for pasture accurate management, disease early warning and feeding strategy optimization.

The invention discloses a pennisetum purpureum CpERF37 transcription factor and cold-resistant application thereof, and relates to the technical field of plant genetic engineering. According to the invention, the Pennisetum purpureum-sourced ERF transcription factor CpERF37 is cloned and functionally identified for the first time, and heterologous expression verification in a model plant arabidopsis thaliana proves that the Pennisetum purpureum-sourced ERF transcription factor CpERF37 has a remarkable effect on improving the low-temperature tolerance of plants, and functional gene resources related to low-temperature stress response are enriched. The method not only has theoretical innovation, but also has a definite application prospect, and can provide effective gene resources and technical support for cold-resistant improvement of pasture and crops.

The invention provides a marine ranch water environment bearing capacity assessment method, and belongs to the field of water environment assessment. According to the method, satellite remote sensing data, buoy monitoring data, breeding management data and weather forecast data are fused, a physical-ecological coupling dynamic model is established, the dynamic response of a hydrodynamic process and ecological variables is simulated, and an ELM-SVR combined model is adopted to calculate a water environment bearing capacity index. According to the method, the problems of data missing and low model precision in a traditional method are solved, and the accuracy of water environment bearing capacity evaluation is improved. Meanwhile, the breeding scale and mode can be adjusted according to the evaluation result, and continuous harmony of the environment and breeding is achieved. The method is beneficial to improving the economic benefits of the marine ranching and protecting the marine ecological environment, and has important practical value.

The invention discloses an ecological breeding management method and system for animal husbandry, and relates to the technical field of animal husbandry intelligent management, and the method comprises the steps: dividing a breeding region into a plurality of functional blocks, and collecting environment monitoring data and livestock behavior data; calculating an environmental suitability index based on the environmental monitoring data; establishing an epidemic disease risk assessment model in combination with the environmental monitoring data and the livestock behavior data, and calculating an epidemic disease risk index; determining an alternating priority according to the environmental suitability index and the epidemic disease risk index, and carrying out the optimal distribution and migration scheduling of the livestock through a global optimization model; performing three-stage treatment on the livestock manure to obtain an organic fertilizer, determining a fertilization sequence and a fertilization amount of each pasturing functional block by establishing a soil improvement demand evaluation model, and performing soil improvement; and monitoring an ecological restoration state and realizing rotation grazing management. According to the invention, collaborative optimization management is realized, a complete circulating chain is established, and the management efficiency and sustainable development capability of ecological breeding of animal husbandry are effectively improved.

The invention belongs to the technical field of intelligent feeding for cow breeding, and discloses a cow feed proportioning optimization method based on artificial intelligence. Body weight, movement, heart rate, temperature and humidity and feed component sensors are arranged in dairy cow individuals and a breeding environment, physiological data and environmental data are collected, and the physiological data and the environmental data are transmitted to edge computing equipment and a cloud platform through a wireless network to be preprocessed and stored. And the artificial intelligence analysis module is used for generating a personalized feed formula of each cow based on a machine learning and / or deep learning model in combination with an optimized objective function, and carrying out environmental adaptability adjustment according to temperature, humidity and feed component changes. The system controls the automatic feeding equipment to perform quantitative feeding according to the heads, and utilizes feedback data of milk amount, body weight and exercise amount to update health state indexes and continuously correct feed proportion. On the premise of meeting individual nutritional requirements of dairy cows, the feed utilization rate and the production performance are improved, the feed cost and the disease risk are reduced, and the feed is suitable for fine management of large-scale pastures.

The present application relates to the technical field of electrical safety, and more particularly to a low-voltage fire test system and method for forestry and animal husbandry areas, comprising a low-voltage power distribution cabinet, a power supply system, a wave recording system and a fault simulation area; the fault simulation area is used for simulating the fault of overhead lines with different diameters or insulation characteristics in various types of overhead line fault simulation tests according to pre-set test conditions; the power supply system is used for outputting alternating current with three-phase voltage when simulating different types of overhead line faults; the low-voltage power distribution cabinet is used for detecting the three-phase voltage of the bus and the three-phase current of the outgoing line under different overhead line fault types, so that the wave recording system detects whether there is arc breakdown and obtains corresponding fault simulation information. The present application can effectively analyze the short-circuit arc condition in the fault process by testing various fault types of overhead transmission lines and plant combustion, thereby reducing the probability of fire caused by power distribution network faults in forestry and animal husbandry areas.

The invention discloses a live livestock real-time counting method and system based on video stream analysis, and belongs to the field of machine vision. The method is suitable for open pasture livestock counting. Firstly, visible light, hyperspectrum and navigation data are synchronously collected through an unmanned aerial vehicle; then, performing spectral unmixing on the hyperspectral data by using a preset spectral feature library to generate a target abundance graph representing the existence probability of the livestock; thirdly, fusing probability information of the visible light image block and the target abundance map through a cross-modal self-attention mechanism so as to identify the target livestock and obtain pixel coordinates of the target livestock; then, converting the pixel coordinates into unique geographic coordinates by using the navigation data; and finally, motion trail prediction and matching are carried out on the livestock in the geographic space so as to realize deduplication tracking of individuals, and accurate counting is completed through statistics of the updated livestock coordinate database, so that the real-time counting accuracy of the living livestock in the open pasture can be improved.

The invention relates to the technical field of animal husbandry management, and discloses a livestock breeding system and method based on a multi-sensor fusion technology and intelligent equipment, and the livestock breeding method comprises the steps: monitoring pasture environment parameters, livestock behaviors and resource consumption data in real time, and obtaining a livestock breeding data set through the multi-sensor fusion technology; constructing a pasture Internet of Things real-time monitoring network to collect and transmit a livestock breeding data set in real time; the pasture environment is regulated and controlled in real time; when the monitored livestock breeding data set exceeds a preset safety threshold value, it is indicated that equipment breaks down, early warning information is remotely output, and an emergency plan is executed; by remotely monitoring pasture environment parameters, checking livestock behaviors, receiving early warning information and regulating and controlling environment regulating equipment, livestock breeding environment data and resource data are intelligently and accurately regulated and controlled, so that pasture environment monitoring and regulation and control can be quickly and accurately realized under the condition that manual observation and a basic sensor are not completely reliable.

The utility model provides an integral intelligent device of a dairy cow electric farm and a power storage and supply system thereof, and relates to the field of breeding, the integral intelligent device comprises a breeding shed, and also comprises a solar panel matrix fixedly installed at the top of the breeding shed; the material conveying guide rail is fixedly mounted on the bracket; the material conveying trolley is arranged on the material conveying guide rail and can move along the material conveying guide rail; the discharging guide pipe is fixedly installed at the bottom of the material conveying trolley and communicates with the material conveying trolley. According to the utility model, the solar panel matrix can generate electricity under the illumination condition, and the electric energy is stored in the storage battery for power supply, so that all power of the pasture uses green electricity, and the energy consumption is reduced. Meanwhile, when forage grass needs to be supplied to the breeding area, the conveying trolley is driven by electric power to move, and when the conveying trolley moves, the rail wheels can rotate synchronously, so that the pushing rod is driven to push the forage grass, and it is guaranteed that the forage grass is scattered and mixed. Key links such as feeding, environmental control, milking and disease early warning are controlled by the intelligent pasture power storage and supply system.

The invention discloses a pennisetum purpureum PpDREB1D-like gene and application thereof in improving cold resistance and biomass of plants, and relates to the technical field of plant genetic engineering. The PpDREB1D-like gene derived from the pennisetum purpureum is cloned and functionally identified for the first time, and experimental verification shows that the PpDREB1D-like gene can increase the cold resistance of plants, the growth state of the plants under cold stress is remarkably improved through overexpression of the PpDREB1D-like gene, the cold resistance of the plants is remarkably reduced through silence of the PpDREB1D-like gene, and the PpDREB1D-like gene can be used for improving the cold resistance of the plants. A molecular foundation is laid for popularization and planting of pasture and energy crops in cold regions, and the method has remarkable agricultural production and ecological value.

The invention discloses a forage grass seeding device suitable for furrow ridge culture in severe saline-alkali soil, and relates to the field of agricultural mechanical equipment. A forage grass seeding device suitable for furrow ridge culture of severe saline-alkali soil comprises a rack, the rack is connected with traction equipment through a connecting piece, and the forage grass seeding device further comprises a ditching mechanism, a pipe laying mechanism, a fertilizing mechanism, a seeding mechanism, a soil covering mechanism and a pressing mechanism; the ditching mechanism is mounted at one end, close to the traction equipment, of the rack; the pipe laying mechanism is mounted at the rear position, close to the ditching mechanism, of the rack; the combined operation device integrates the functions of ditching and salt elimination, layered fertilization, precision seeding and soil covering and pressing, solves the problems that the survival rate of seeds is low, soil salt return inhibits seedling emergence and the like when traditional equipment is used for seeding in saline-alkali soil, and can synchronously complete salt elimination ditch excavation, pasture precision seeding, isolated fertilization, soil covering and soil moisture conservation. The emergence rate of the forage grass in the severe saline-alkali soil can be increased to 65% or above.

The utility model relates to the technical field of pasture cultivation frames, and discloses a novel pasture planting cultivation frame which comprises four groups of vertical rods, a plurality of placing plates are fixedly arranged among the four groups of vertical rods, limiting pieces are fixedly arranged at the upper ends of the placing plates, cultivation boxes are arranged in the limiting pieces, and uniform spraying structures are arranged at the rear ends of the placing plates. The uniform spraying structure comprises a water pipe fixedly arranged at the rear end of the containing plate, a plurality of first pipe bodies are fixedly arranged at the front end of the water pipe, second pipe bodies are fixedly arranged on the two sides of each first pipe body, and atomizing nozzles are fixedly arranged on one sides of the second pipe bodies and the lower ends of the first pipe bodies. The novel forage grass planting and cultivating frame disclosed by the utility model can automatically and uniformly irrigate forage grass.

The invention provides a soil ecological environment monitoring and management method based on big data, and relates to the technical field of soil ecological environment monitoring and management. According to the method, multi-source data including soil and pasture are collected and integrated to construct a central database through field stratified sampling, classified deployment of sensors and butt joint with a third-party mechanism; space-time pattern analysis, pollution source analysis and ecological risk evaluation are carried out based on the central database, and a pollution traceability report is generated; the method comprises the following steps: constructing a multi-dimensional risk evaluation system, dividing a region into four classes and implementing differentiation management, constructing a governance technology database, screening an optimal scheme based on multiple criteria, performing demonstration verification in a typical region, comparing monitoring data, judging a governance effect and generating a demonstration application summary report; the problems that the soil monitoring and treatment accuracy of the heavy metal mining area is insufficient and the scheme adaptability is poor are effectively solved, and the monitoring and management efficiency and scientificity are remarkably improved.

The present disclosure discloses an intelligent management method and management system of a natural pasture using multi-machine collaboration of UAVs, which belongs to the technical field of UAVs. The method includes: by a UAV group, obtaining pasture environment information, automatically planning a global grazing path, and performing automatic driving and grazing according to a user-defined grazing time, a starting point and an end point; during the process, collecting and analyzing herd activity images, and planning local grazing paths to assist in the automatic driving; and meanwhile, collecting vegetation coverage image data of a grazing area to further assist in the grazing.

The invention discloses a method for improving the quality of cultivated land through mixed sowing of perennial beans, grasses and forage grass. The method comprises the steps that deep ploughing and soil turning are conducted, land leveling is conducted, and organic fertilizer is applied to serve as base fertilizer; the method comprises the following steps: determining a mixing ratio of leguminous forage grass to gramineous forage grass of 3: 7-1: 1, and carrying out mixing pretreatment on the two forage grass seeds, namely preparing a nano titanium dioxide solution containing various nutrients and trace elements, screening stress-resistant domesticated rhizobium, disinfecting, soaking, coating and the like; reasonably topdressing in the forage grass growth period; when the pasture grows to a specific stage, the pasture is cut for 2-3 times every year; after 3-5 years of continuous utilization, crop rotation is carried out, and deep ploughing and fertilization are carried out again. According to the seed mixing pretreatment mode, the operation process is simplified, the cost is reduced, balanced nutrition supply is guaranteed, synchronous germination of seeds and coordinated growth of seedlings are promoted, and the fertilizer utilization rate is increased. The screened adversity-resistant domesticated rhizobium enhances the stress resistance of mixed sowing grassland, improves the yield and quality of alfalfa, and further improves the overall quality of mixed sowing pasture.

A system for estimating the feed intake of dairy cows in feeding areas based on computer vision belongs to the technical field of estimating the feed intake of dairy cows in feeding areas. It aims to solve the problem that the existing feed intake estimation of dairy cows in feeding areas cannot meet the actual needs of pastures and the problem of inaccurate estimation. The present invention includes a data acquisition module for obtaining RGB images of the feed area before and after feeding dairy cows, a feed area segmentation module for processing and identifying the RGB images using an image segmentation model and extracting a mask image of the feed area; a data processing module for performing color matching on the mask images corresponding to before and after feeding dairy cows, obtaining the RGB images of the mask image area and then obtaining a difference image, and a total feed intake estimation module for estimating the total feed intake of the obtained difference image using a total feed intake estimation model.

The invention provides an intelligent optimization method for carbon emission reduction of an ecological pasture in extreme weather, and relates to the technical field of intelligent optimization of carbon emission reduction. Comprising the steps that initial monitoring data are collected and preprocessed, and multi-dimensional feature vector output state features are constructed; an LSTM time sequence prediction model is used for analyzing the state of the dairy cow and the activity of methanogens in the rumen, DHI data of an integrated gradient boosting tree model is used for analyzing the amino acid balance and precise nutrition technology of the lactating dairy cow, a dairy cow manure yield prediction model based on a Bayesian network is constructed, a manure management strategy is dynamically optimized, and manure management effect data is output. And constructing a carbon emission reduction comprehensive evaluation model, and evaluating the pasture carbon emission reduction effect. According to the invention, the rumen flora structure is regulated and controlled, the rumen greenhouse gas emission is controlled, the ruminant feed protein level is reduced, and the methane emission is reduced by researching the dairy cow carbon emission rumen microorganism regulation and control technology.