1055 results about "Pasture" patented technology

The invention discloses a marine ranch site selection evaluation method based on machine learning, and relates to the technical field of marine ranches, and the method comprises the following steps: determining a marine ranch site selection target, collecting the regional data of the site selection target, dividing the regional data into historical data and real-time data, carrying out the preprocessing of the collected historical data and real-time data, and carrying out the evaluation of the site selection of the marine ranch. The site selection influence factors comprise climate influence factors and ecological influence factors, and a comprehensive suitability evaluation model is constructed on the basis of historical data in combination with specific requirements of marine ranch site selection. According to the method, massive real-time data including information of climate, ecology, landform, social economy and the like are processed and analyzed through a machine learning technology, so that site selection evaluation is more accurate, errors caused by manual judgment are reduced, and meanwhile, by analyzing historical data and real-time data, the site selection evaluation accuracy is improved. And the key climate and ecological factors influencing the marine ranching site selection can be accurately identified.

The invention discloses a dynamic supervision method and system for a marine ranch, and relates to the technical field of marine ranches, and the method comprises the following steps: determining the target, range and index of the dynamic supervision of the marine ranch, collecting the ecological environment data of the marine ranch, and transmitting the ecological environment data to a data management center; wherein the ecological environment data comprises historical data and real-time data, the collected ecological environment data is preprocessed, the preprocessed data is analyzed, environment influence factors are extracted, the environment influence factors comprise a water quality influence factor, a substrate influence factor and a biocenosis influence factor, and the water quality influence factor, the substrate influence factor and the biocenosis influence factor are analyzed; and analyzing the correlation among the water quality influence factor, the substrate influence factor and the biocenosis influence factor. According to the method, the water quality, the substrate and the biocenosis state of the marine ranch are monitored in real time, the ecological environment early warning evaluation coefficient is combined, and the potential ecological risk is quickly identified, so that prevention measures are taken in the first time, and the ecological environment is prevented from deteriorating to an irreversible degree.

The invention provides a dynamic supervision method and system for a marine ranch, and relates to the technical field of marine ranch supervision, and the method specifically comprises the steps: collecting biological parameters and environmental parameters of the marine ranch, calculating to obtain a biological activity index and an ecological health index, integrating the indexes, and carrying out the correlation analysis, generating a comprehensive detection index for reflecting the overall state of the marine ranch, comparing the comprehensive detection index with a preset evaluation threshold value, and performing comprehensive evaluation on the marine ranch. According to the method, the biological activity index and the ecological health index are formed by integrating the biological parameters and the environmental parameters, correlation analysis is carried out, and a systematized method is provided for dynamic monitoring of the marine ranching. Through data analysis of dimensionless processing, the comparability of each index is improved, and managers can master the ecological condition of the marine ranch in real time and take corresponding measures in time.

The invention discloses a perinatal dairy cow feed intake prediction method and system in a pasture breeding scene, and relates to the technical field of dairy cow breeding, the method comprises the following steps: obtaining first monitoring data collected by an intelligent necklace, second monitoring data collected by a visible light camera and third monitoring data collected by an infrared camera, feature extraction is carried out on the first monitoring data, the second monitoring data and the third monitoring data to obtain a first feature, a second feature and a third feature, feature fusion is carried out on the first feature, the second feature and the third feature to obtain a fused feature, and the fused feature is used as input to carry out feature fusion; and determining the feed intake of the dairy cow in the perinatal period by using the trained feed intake prediction model. The intelligent necklace, the visible light camera and the infrared camera can be combined to complete food intake behavior monitoring and food intake prediction of the dairy cow in the perinatal period, and real-time monitoring and accurate analysis are achieved.

The invention relates to the field of unmanned aerial vehicle multispectral remote sensing image analysis and inversion model construction based on a machine learning algorithm, in particular to a temperate zone typical grassland surface biomass estimation method. A multi-rotor unmanned aerial vehicle is used for carrying a multi-spectral sensor, multi-band spectral reflection information of a pasture is obtained from a near low altitude, a physical spectral reflection model is constructed to calculate real and accurate reflectivity data of a same-band spectrum, vegetation coverage, soil attributes and pasture canopy information of a sampling area are recorded, and the earth surface biomass is measured by cutting a sample; according to the method, a plurality of vegetation indexes and a 3D space model are combined with a multi-modal input structure, data enhancement and small sample learning strategies are adopted, a biomass inversion model is constructed through an MANBA machine learning framework, the precision of grassland biomass estimation is improved, and effective technical support is provided for grassland ecological monitoring and management.

The invention relates to an airflow-mechanical seed sowing device suitable for pasture and a mixed sowing method. The seed-metering device comprises negative-pressure seed-metering devices (1), and the two negative-pressure seed-metering devices (1) are coaxially fixed to the two sides of a gradually-extending screw groove type seed-metering device (2) to form a seed-metering device assembly; the mixed seeding box (3) is fixedly arranged at the upper part of the seeding device assembly and is used for supplying seeds to the negative-pressure seeding device (1) and the gradually extending screw groove type seeding device (2); and the seed conveying device (4) is fixedly arranged at the lower part of the seed metering device assembly and is used for mixing the gramineous forage grass seeds and the leguminous forage grass seeds and then sowing. By applying the seed-metering device, mixed seed metering of gramineous forage grass seeds and leguminous forage grass seeds can be realized, and seed blocking is prevented.

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 provides an interlaced vertical board agriculture and light complementation method. The interlaced vertical board agriculture and light complementation method comprises a vertical rod and a beam or / and a connecting piece; a plurality of photovoltaic panels are laterally fixed on the vertical rods or / and the beams through connecting pieces, so that a photovoltaic vertical board unit is formed; planting spaces for growth of crops or woods or pasture are formed in the row spacing or the spacing of the photovoltaic vertical board units. Stay cables do not need to be used, construction is easy, cost is low, pile foundations are buried shallowly, damage to soil structures and plant root systems can be avoided as much as possible, construction difficulty and cost can be reduced, and complementary benefits of photovoltaic power generation and agricultural production can be improved.

The invention discloses a marine ranching early warning method and system based on a knowledge graph, and relates to the technical field of marine ranching management, and the method comprises the knowledge graph of large-class keywords of water quality management, equipment management and biological resource management and progressive-level subclass keywords of the large-class keywords, terminal subclass association preset acquisition parameter groups and state description; generating a marine ranching plane graph; equipment states and detection parameters are collected to form a normal state parameter group, and a normal planar graph representation model is constructed; generating an exception model based on a preset exception adjustment normal parameter group, and dynamically associating the exception model with small-class keywords in the knowledge graph; and collecting data in real time to construct a real-time model, comparing the real-time model with an abnormal model to trigger an alarm, and marking an abnormal root in the knowledge graph. According to the method, the limitation of traditional single-dimensional monitoring is broken through, multi-source data are integrated through knowledge graph semantization, dynamic threshold and spatial correlation analysis are combined, abnormal accurate positioning and cross-dimensional risk early warning are achieved, and the marine ranch management efficiency and safety are remarkably improved.

A feeding system for feeding individual animals of a herd feed, supplements, and combinations thereof. The feeding system includes one-to-many feed bin assemblies or feeding stations such that the system is able to dispense a specified mass of feed to specific animals at user-defined intervals. In this way, each animal of a herd is provided with optimal, individualized amounts of feed or feed material. Multiple feed bin assemblies in a single pasture, for example, can automatically form a network of feeders so that regardless of the specific feed bin assembly or feeding station within the feeding system that an animal visits, the specified amount and type of feed or feed material is delivered. Each feed bin assembly or feeding station can also be equipped with an access control mechanism to ensure each animal of a herd receives its individualized amounts of feed or feed material.

The invention discloses a method for improving pasture productivity by optimizing a mixed sowing proportion and a sowing mode, which comprises the following steps of: performing rotary tillage on soil and applying humus before freezing in winter, turning over the soil and applying a base fertilizer after reviving in spring, then selecting leguminous plants and gramineous plants according to a weight ratio of 3: 7, respectively and uniformly mixing seeds of two functional groups, the method comprises the following steps: ditching, ridging and sowing gramineous plant seeds in line, sowing leguminous plant seeds in holes between two rows of gramineous plants 20-30 days after the gramineous plant seeds emerge, carrying out topdressing and pest and weed damage management after sowing, mowing the overground part of the grassland at the last stage of plant growth, and controlling the stubble height of the leguminous plants and the gramineous plants. By accurately optimizing the mixed sowing proportion and sowing strategy of leguminous and gramineous pasture and combining the complementarity of plant functional groups in ecological niche (time and space), an innovative pasture mixed sowing method is provided, and theoretical support and technical guarantee are provided for efficient and sustainable development of animal husbandry production.

The invention discloses a natural grassland grazing duration prediction method and prediction device based on a remote sensing technology. The prediction method comprises the following steps: obtaining daily forage grass feed intake according to the existing above-ground biomass of the grassland and the potential above-ground biomass of the grassland; according to the daily forage grass feed intake and the total amount of edible forage grass in the future preset time period, the grazing duration is obtained. According to the method for predicting the grazing duration of the natural grassland based on the remote sensing technology, the grazing duration of the grassland can be effectively predicted by accurately calculating the daily forage grass feed intake of the natural grassland and the total amount of the edible forage grass in the future preset time period; through scientific evaluation of the existing above-ground biomass and the potential above-ground biomass of the grassland, reasonable utilization of pasture resources can be ensured, grassland degradation caused by excessive grazing is avoided, and the production potential of the grassland is maximized.

The invention relates to the technical field of livestock medicine management and control, in particular to a medicine delivery system based on livestock veterinary epidemic prevention, and the system comprises a data collection and fluctuation rate analysis module which is used for collecting livestock farm environment data and animal health data, aggregating the environment data and the health data layer by layer in a recursive layering manner, and obtaining a multi-level livestock farm data set, calculating the change range of the animal health data in the multi-level data set, determining the range of volatility, and generating abnormal fluctuation mark data. According to the method and the system, the environmental data and the animal health parameters of the livestock farm are subjected to recursive hierarchical aggregation, so that the fluctuation condition of the data is comprehensively monitored. By marking the high fluctuation item with the abnormal fluctuation range exceeding the safety threshold, the potential epidemic disease risk can be quickly identified. By referring to influence factors of high fluctuation items on epidemic disease occurrence and dynamically adjusting risk values, the system can reflect potential influences of changes of environment and health conditions on epidemic disease transmission in real time.

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 discloses a self-propelled round pasture baler, and relates to the technical field of pasture balers, the self-propelled round pasture baler comprises a baling device and a tractor head used for pulling the baling device to move, the baling device comprises a shell, a picking and feeding assembly, a forage twisting assembly, a round baling assembly and a power assembly, the forage twisting assembly is provided with a fixed conveying belt and a movable conveying belt which are in reverse transmission, when the movable conveying belt and the fixed conveying belt are attached, forage is twisted into pieces and conveyed to the round bundling assembly, and when the movable conveying belt and the fixed conveying belt are separated, the forage is conveyed to the round bundling assembly in a clustered mode; the round bundling assembly comprises a core forming guide roller set, a movable adjusting roller, a plurality of supporting rollers, a round bundling belt wound around the adjusting roller and the supporting rollers, and a control structure used for controlling the round bundling belt to be tensioned. By controlling the position of the adjusting roller, a new grass core is regenerated in a core forming area in the grass bale net winding process, parallelization of operation is achieved, and automatic continuous operation is achieved.

The invention discloses a multi-target fusion dairy cow oestrus behavior detection method and system, and belongs to the technical field of target detection of deep learning. The method comprises the following steps: S1, collecting a dairy cow oestrus behavior image, and performing image enhancement on the dairy cow oestrus behavior image; s2, constructing a PBF-YOLO deep learning network model, wherein the PBF-YOLO deep learning network model comprises a lightweight module, a background information enhancement module and a feature aggregation module; and S3, identifying a dairy cow oestrus behavior region of interest through the PBF-YOLO deep learning network model, and detecting the dairy cow oestrus behavior. The invention provides a solution for the situation that the existing lightweight algorithm is low in detection precision and poor in robustness due to the fact that the cow oestrus behavior and other background features are similar and are difficult to distinguish in an actual pasture and cows with different scales appear on the same image.

The utility model discloses a ventilation cooling structure of a forage grass cultivation container, and relates to the technical field of forage grass. The device comprises a container assembly, a ventilation assembly and a humidification assembly, the container assembly comprises a box body, three placement plates are fixedly installed in an inner cavity of the box body, cultivation trays are movably installed on the two sides of the top of each placement plate, and a collection box is movably installed at the bottom of the inner cavity of the box body. By arranging the humidifying assembly, when the temperature in the box body is too high or the humidity is too low, a water pump is started, when the water pump is used, water flow in a water tank is conveyed into a water outlet pipe through a water inlet pipe, water flow in the water outlet pipe is conveyed into a flow dividing pipe, and water flow in the flow dividing pipe is conveyed into a plurality of connecting pipes; and water in the connecting pipe is atomized and sprayed out of the interior of the box body through the atomizing nozzles, so that the cooling and humidifying effects can be achieved, it is guaranteed that the temperature and humidity in the box body are appropriate, and an appropriate growth environment is provided for pasture.

A system for monitoring animal activity, the system comprising an animal tag having a tag identifier attached to an animal to generate animal data packets comprising timestamped location data having tag latitudinal and longitudinal coordinates and timestamped activity data relating to activity of the animal over a window of time and a processor configured to evaluate the animal data packets to determine an activity classification for the animal wearing the animal tag over the window of time. The processor is also configured to calculate a pasture performance value of the area based on the animal data packets received from the animal tag.

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 discloses a multi-view cattle identity recognition method fusing positioning information in a grazing scene, and relates to the technical field of intelligent breeding. Comprising the steps of obtaining cattle position data and image data; the method comprises the following steps: constructing a cattle identity recognition model, deploying the final cattle identity recognition model into a core controller of a patrol robot, traversing each cattle in a pasture through a patrol function of the robot, capturing images by using a binocular camera, calculating a relative position relationship among the images, extracting a cattle contour, and carrying out the detection of the cattle contour in the patrol process of the robot. And constructing a cattle three-dimensional space, combining cattle necklace positioning information and a cattle identity recognition model recognition result, and realizing multi-view cattle identity recognition fused with the positioning information by using a dynamic weight. According to the invention, unmanned grazing and real-time monitoring and early warning are realized, the grazing efficiency is improved, the economic benefit of the industry is improved, the increasing demand of the society on high-quality beef is met, and the modernization development of animal husbandry is promoted.

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 utility model discloses a turnover machine for a pasture planting disc, and belongs to the technical field of pasture production equipment. The grass disc turnover device comprises a mounting platform and a grass disc turnover device arranged on the mounting platform, wherein the grass disc turnover device comprises a clamping mechanism and a turnover mechanism; wherein the clamping mechanism comprises a frame and clamping pieces located on the frame, and the clamping pieces are arranged on the opposite sides of the frame in pairs and used for clamping and loosening the two sides of the planting plate; the turnover mechanism comprises a rotating shaft and a driving source for driving the rotating shaft; the clamping mechanism is connected with the rotating shaft and is driven by the rotating shaft to turn over. According to the turnover machine disclosed by the utility model, the clamping mechanism and the turnover mechanism are matched with each other, and a clamping and turnover action mode is adopted, so that the collision damage of the planting plate can be effectively reduced while the turnover blanking of the planting plate is realized; in addition, complete discharging of the forage grass is facilitated.

The invention 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 such as picking, conveying, feeding, compressing, bundle separating and bundling can be completed, two straw bundles can be output at a time, one large straw bundle can also be output, and the straw bundle density and the operation efficiency are improved.

The invention discloses a full-automatic pelletization coating system and method for small forage grass seeds, and particularly relates to the technical field of agricultural equipment.The full-automatic pelletization coating system comprises a rack, a controller, a pelletization coating device, a seed supply device, a powder supply device and a liquid supply device, and the pelletization coating device, the seed supply device, the powder supply device and the liquid supply device are in signal connection with the controller; both the seed supply device and the powder supply device are provided with vibration exciters capable of providing two vibration amplitudes, so that two blanking speeds, namely a fast blanking speed and a slow blanking speed, are realized, errors caused by materials in the air when a weighing hopper detects preset supply mass are reduced, and accurate supply of seeds and powder is achieved; the liquid supply device comprises a liquid medicine box, a clear water box, a proportional control three-way valve and a peristaltic pump, the liquid medicine box and the clear water box are connected with the peristaltic pump through the proportional control three-way valve, and the liquid medicine proportion can be accurately controlled by adjusting the opening degree of the proportional control three-way valve. According to the invention, the coating uniformity of small pasture seeds can be improved, the pelleting quality is enhanced, and the production efficiency is improved.

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 invention relates to the technical field of pasture planting, and discloses a treatment method for improving cold resistance of pennisetum purpureum, according to the treatment method, a 1000 mg / L chitosan solution is used as an exogenous substance to be applied to the pennisetum purpureum, and more preferably, the 1000 mg / L chitosan solution and charcoal are jointly used as the exogenous substance to be applied to the pennisetum purpureum. Chitosan is used as a biological stimulant to stimulate the generation of cold-resistant substances in plants and help to protect plant cells from being damaged under a low-temperature condition, the chitosan solution is used for treating the pennisetum purpureum, the optimal use concentration for improving the cold resistance of the pennisetum purpureum is determined through tests, and the cold resistance of the pennisetum purpureum is remarkably enhanced. According to the method, the biochar is applied on the basis of applying the chitosan solution, so that the cold resistance of the pennisetum purpureum is further improved.

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 provides a calf feeding robot with an autonomous navigation control system and a use method, and relates to the crossing field of robot technology and animal husbandry. A calf feeding robot with an autonomous navigation control system comprises a movable vehicle body chassis, a control screen, a main control bin, a first camera, a second camera, a laser radar base, a laser radar, a milk barrel, an electromagnetic valve, a nipple, a CAN communication interface module and a control panel. An autonomous navigation control system is arranged in the control panel and comprises an environment sensing subsystem, a navigation control subsystem, a milk feeding subsystem and a vehicle body chassis control subsystem, a highly-integrated control framework is achieved, and the integrated control system improves the operation efficiency and the response speed of the robot. Therefore, the robot can quickly adapt to the change of pasture environment and timely and accurately provide feeding service for calves.