60 results about "Grazing" patented technology

The invention discloses a cold-season grassland grazing monitoring method based on time sequence remote sensing. The method comprises the steps that a spectrum change sequence is obtained through continuous remote sensing images, signals are enhanced through multi-time-difference differential calculation, a surface reflectance curve is extracted, and an abnormal point set of a potential grazing event is determined in combination with texture analysis. And tracking the spatial connectivity of the abnormal points, generating continuous trajectory path data by using time sequence filtering, and matching the continuous trajectory path data with frozen soil period signals to obtain a grazing trajectory set. Enabling the track set to correspond to remote sensing image space coordinates, generating a preliminary grazing mode map, extracting livestock moving path features, confirming an effective grazing event, and finally refining the boundary through texture analysis, thereby achieving the precise monitoring of the grazing activity of the cold-season grassland. According to the method, the automatic identification precision and efficiency of the grazing trajectory are remarkably improved, and a scientific basis is provided for grassland ecological monitoring and management.

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 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 application discloses a method and system for detecting illegal sheep grazing based on an improved YOLOv5 network, wherein the improved YOLOv5 network model replaces a BottleNeckCSP module with a GhostBottleNeck1 module with a stride of 1, replaces a convolution layer with a GhostBottleNeck2 module with a stride of 2 to perform down-sampling and feature extraction, and replaces ordinary convolution in an original PANet module with deep separable convolution in a neck part; the improved YOLOv5 network model is trained by using a training set until the testing requirements of a testing set are met, and a final detection model is obtained; a UAV perspective image of illegal sheep grazing in a beach area is acquired as an input image, the final detection model is used to identify the input image, and a detection result of illegal sheep grazing is obtained.

The invention relates to the technical field of cattle and sheep grazing, in particular to electronic fence equipment with a cattle and sheep driving function and a using method, the electronic fence equipment comprises a mounting frame and further comprises a charging storage structure connected with the mounting frame, the charging storage structure comprises a charging cabinet, and multiple sets of neck-hung position indicators are movably mounted in the charging cabinet; the subpackaging moving structure is connected with the mounting frame, the subpackaging moving structure comprises a transverse moving mechanism, the transverse moving mechanism is connected with two groups of flying, hoisting and driving platforms, a synchronous lifting limiting mechanism is arranged below the transverse moving mechanism, the synchronous lifting limiting mechanism is connected with a soil-piercing supporting mechanism, and the synchronous lifting limiting mechanism is connected with a transfer communication camera mechanism. According to the invention, through the mutual cooperation of the charging storage structure and the split charging moving structure, the effect of independent networking is realized, the stability of positioning signal transmission is enhanced, and through the parallel positioning and camera shooting mode, digital and three-dimensional grazing is realized, so that more manpower is saved, and grazing personnel can obtain grazing information more easily.

The present invention relates to the delivery of a methane inhibitor to a plant or a grazing animal. This is achieved by infecting grass with an endophyte which has been modified to produce the methane inhibitor in planta. The endophyte produces the methane inhibitor in planta, which may be consumed by the grazing animal.

The application discloses an under-forest goose breeding ecological circulation planting and breeding system, which comprises a first iron fence, fixing columns, double doors, a door frame, an opening and closing mechanism, a water storage tank, a dropper, a water receiving tank, a fixing plate, a fence, a second iron fence and a fixing shaft, the first iron fence and the second iron fence respectively enclose two planting and breeding circles, and a plurality of fixing columns are evenly arranged on the inner sides of the first iron fence and the second iron fence respectively. The application adopts the mode of breeding geese under fruit trees, uses goose excrement as fertilizer for fruit trees, and provides food for geese with the under-forest vegetation, which is beneficial to saving breeding cost, simultaneously producing fruits and geese, and improving breeding economic benefits. Meanwhile, the double-circle design is adopted, which avoids excessive damage to the vegetation caused by excessive grazing, and is beneficial to realizing sustainable breeding. Through the setting of the opening and closing mechanism, the double doors are automatically opened and closed to the two sides, and manual opening and closing of the doors is not needed, thereby improving work efficiency.

The invention relates to a cattle posture recognition method based on triaxial angular velocity signals of a gyroscope, and belongs to the technical field of crossing of animal behavior recognition, sensor signal processing and artificial intelligence application. The method comprises the following steps: 1) data acquisition and feature construction; 2) generating an unsupervised clustering label; 3) supervising signal processing and classifier construction; and 4) attitude discrimination. According to the method, the automatic identification of the posture state of the cattle is realized by collecting the three-axis angular velocity data generated by the gyroscope sensor in the cattle and combining the means of feature extraction, unsupervised clustering, supervised classification and the like. Data dependent on the method are all from in-vivo sensor signals, and are hardly interfered by external factors such as temperature change, terrain fluctuation and breeding environment, so that the method has the remarkable advantages of stable data acquisition, low calculation overhead, flexible deployment and the like, can be widely applied to various breeding scenes such as captivity and grazing, and has wide application prospects. And the practicability and adaptability of the cattle behavior monitoring system can be effectively improved.

1. The name of the design product: livestock protection electronic fence host. 2. The use of the design product: used for area rotation grazing, farmland protection, ecological breeding, shed protection, captive animals, preventing from getting lost, driving wild animals, preventing wild animals from destroying planted crops, etc. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to the technical field of disease prevention and control information, and particularly discloses an animal epidemic disease prevention and control system based on intelligent AI, which comprises a data acquisition module, a data transmission module, a central database module, an individual anomaly detection module, a group propagation prediction module, an intervention strategy optimization module and a decision execution and interaction module. The system collects animal behavior data through the intelligent necklace, adopts double-algorithm fusion analysis to realize accurate identification of individual abnormity, overcomes the problem that epidemic diseases are difficult to find, prevent and control in time in a field grazing environment, constructs a dynamic contact network to predict an epidemic situation propagation path, and applies multi-target reinforcement learning to generate an optimal prevention and control strategy. The intelligent management from individual monitoring to group prevention and control is realized, the accuracy of epidemic disease identification and the timeliness of early warning are remarkably improved, and meanwhile, the prevention and control cost and the influence on the ecological environment are reduced through resource optimization configuration.

The invention relates to the technical field of breeding, and discloses an ecological breeding method for yellow feather chickens, which comprises the following steps: S1, site selection: selecting forest land, orchard or grassland which is far away from industrial areas and residential areas, clean in water source and unpolluted in soil as a breeding farm; constructing a chicken house and an outdoor rotation grazing stocking area communicated with the chicken house in the farm; s2, performing partition management, and dividing the breeding process of the yellow-feather chickens into three independent management stages according to day ages: a young stage (1-21 days old), a growth stage (22-35 days old) and a stocking stage (36 days old to slaughter); yellow-feather chicken breeding is divided into three stages, so that the survival rate of yellow-feather chickens is increased and the disease reduction effect is achieved through different breeding methods and centralized vaccine management in the three stages, the meat quality of the yellow-feather chickens is improved by selecting a proper site, and the quality of the yellow-feather chickens is improved. A whole-process ecological breeding method including site selection, brooding management, growth control, stocking care and epidemic disease prevention and control is researched and developed, the breeding benefits of the yellow-feather chickens are improved, and product safety is guaranteed.

The present application relates to the grassland grazing technology field, and particularly relates to a grassland seasonal diversification cattle and sheep mixed rotation grazing method, the grassland is divided into several grazing small areas, and cattle and sheep are mixed and rotated in different small areas; based on the grassland yield and community composition change characteristics in different seasons, the mixed proportion of cattle and sheep and the rotation frequency are flexibly adjusted, which can effectively solve the problems of low grassland space utilization efficiency, low forage conversion efficiency and reduced grassland biodiversity caused by the single fixed rotation grazing mode in the current grassland zoning rotation grazing management, and is expected to greatly improve the grazing livestock production efficiency and the grassland ecological function, and is also helpful to truly realize the grass-livestock balance.

This invention relates to a rapidly dismantling and constructing tree-protecting modular shelter with a biogas-producing ring around a forest wetland. The structure is characterized by four unit compartments enclosing a tree at the center, forming a central overflow column. The rear of these units further encloses a central overflow column, creating an open-top tree-protecting modular shelter with a hinged lid. The open lid allows for oxygenation and fish farming, while the closed lid generates biogas. Numerous modular shelters arranged longitudinally and laterally are then clustered together to form a wide moat. The overflow column's top opening allows for watering of the towering trees within. The overflow column utilizes the combined weight of the individual compartments and the collective weight of the clusters. Protecting the large trees inside the pillars from falling, the open cover can be alternately opened and closed between the left and right compartments; when there are trees inside the compartment, it forms a ring-shaped forest; when there are no trees and the cover is open, it forms a ring-shaped wetland; the tree trunks of this forest support layers of glass-floored livestock and poultry grazing and adoption farms (for adoption by the forest); when many longitudinally arranged compartments are closed at the same time, it is as if the covers of the longitudinally arranged compartments form a temporary ring road; mud, water and waste residue inside the compartments are directly discharged to fertilize trees and fields; quick dismantling and construction, i.e., the compartments can be assembled into combined compartments or combined compartments can be dismantled into compartments for easy transportation.

This invention relates to a wheeled-legged grassland soil sampling robot and its usage method, comprising a walking mechanism, a soil sampling mechanism, a sensing mechanism, a steering mechanism, a control system, a storage mechanism, and a chassis. The walking mechanism adopts a wheel-leg hybrid layout, adaptable to the uneven environment of grasslands, and can flexibly switch between wheeled and legged walking modes, possessing excellent obstacle-crossing ability. The soil sampling mechanism and storage mechanism together constitute an integrated "drilling + sampling + pushing + collecting" operation. By pre-loosening the soil with multiple drill bits, the soil penetration resistance is significantly reduced. Combined with an automatic soil pushing and circulating soil storage structure, the automation level and operational efficiency of soil sampling are significantly improved. This invention provides strong technical support for producers to obtain grassland soil physicochemical analysis data, deduce the spatial distribution of grassland soil resources, predict pasture growth status, and scientifically plan pasture grazing behavior, and has good practicality and application value.

The utility model discloses a foodstuff basin for raising chickens, which relates to the technical field of foodstuff basins and comprises a base plate, a feeding cylinder is arranged in the middle of the top surface of the base plate, a frustum is arranged in the feeding cylinder, a plurality of discharging ports are arranged at the bottom end of the feeding cylinder along the axial side at equal intervals, and a fixing ring is arranged on the peripheral side of the top surface of the base plate. Through cooperation of the base plate and the discharging barrel, fodder can be conveniently placed in a concentrated mode, the accuracy of fodder feeding is improved, and then the function of orderly feeding can be achieved; through cooperation of a frustum in the feeding barrel and a discharging port, scattered discharging is facilitated, discharging uniformity is improved, then the function of enabling chickens to eat evenly is achieved, by means of cooperation of a fixing ring, a lantern ring and a separation rod, a stable separation structure is conveniently constructed, the separation effect is improved, and then the function of dividing the feeding space of the chickens is achieved; finally, the problems that feed of an existing chicken raising feed basin is directly poured and accumulated at one position, chicken flocks eat feed unevenly, and weak and small individuals eat feed difficultly are solved.

This invention discloses a method and system for measuring greenhouse gas emissions from natural grassland grazing, comprising: Step 1: determining the amount of CO2 and CH4 absorbed by the grassland, the amount of N2O emitted, the amount of CO2, CH4, and N2O ingested by livestock from intestinal microorganisms, and the amount of CO2, CH4, and N2O emitted from livestock excrement; Step 2: obtaining the annual N2O emissions from natural grassland through long-term monitoring; Step 3: determining the adjustment coefficient using the intuitive grassland cover, and calculating the equivalent of grassland CO2 emissions after converting the grassland N2O emissions; Step 4: calculating the greenhouse gas emissions from livestock using various indicators; Step 5: calculating the total greenhouse gas emissions from natural grassland grazing using the livestock greenhouse gas emissions. This invention provides a precise method for natural grassland grazing systems and dual carbon targets, featuring simplicity, practicality, high accuracy, low cost, strong systematicity, and high speed. It provides a convenient technology for energy conservation and emission reduction in grazing systems, contributing to the sustainable development and utilization of grassland grazing systems.

The invention relates to a grazing rate prediction data processing method based on plant morphological characteristics, and belongs to the technical field of electric digital data processing and machine learning application. The method solves the problems that the grazing response signal is weak due to the dependence on the overall characteristics of the vegetation community, and the reproducibility is poor due to the lack of a standardized process. The method comprises the following steps: in a model training stage, receiving a plant individual form measurement value containing a plant height and a crown diameter and a grazing rate reference value, calculating an individual form index based on the plant height and the crown diameter, dividing a space unit and calculating spatial statistical characteristics of the form index in the unit, and training to obtain a grazing rate estimation model; in the model application stage, the same index calculation and space statistics steps are executed on the new plant morphology measurement value, the result is input into the trained model, and the estimated grazing rate is output. According to the method, through building individual index calculation, space unit statistics, model training and application, effective prediction of the grazing rate based on plant morphological characteristics is realized.

1. The name of the design product: auxiliary planting arch (three-dimensional honeycomb degradable). 2. The use of the design product: for early planting of seedlings, reducing grazing of benthic animals, slowing down water power, etc., for the field of ecological restoration technology. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a method and a system for improving functions of household alpine grassland. Investigating the current situation of the grassland by taking a family as a unit, and dividing the grassland into seven succession states according to an alpine grassland passive-active degradation succession theory; the grassland is improved by adopting rotation grazing, grazing reduction, interval pasturing, pasture population nutrition regulation, grass felt surface layer cracking and manual intervention recovery technologies; according to the annual grassland productivity, the number and structure of livestock groups are adjusted, and a function improvement technical system is constructed by combining family economy and grassland income dynamics. The method has the advantages that quantitative diagnosis of the degradation stage is realized by means of multi-parameter indexes and clustering analysis; through a long-term control test, screening effective technical combinations in each degradation stage; a family pasture ecological economic evaluation model is introduced, and an ecological target and herdsman income increase are both considered; a complete technical chain of diagnosis, testing, optimization and decision making is formed, dynamic adjustment can be achieved, and technology popularization standardization and adaptability unification are achieved.

The present application relates to the technical field of Internet of Things, and especially relates to a dynamic monitoring and management system for promoting the conversion rate of grazing and sheep grass. The system comprises an upper computer and a lower computer, data intercommunication is realized between the upper computer and the lower computer, 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. Through the three-in-one label system, the spatial distribution map of grassland nutrition inversed by remote sensing is associated with the single sheep grazing track and weight increment wearing a GPS positioning ring in real time, and the online calculation of the grass and livestock conversion rate at the single sheep level is realized for the first time in the alpine meadow of the Qinghai-Tibet Plateau; the system can automatically identify the grassland type and its dominant grass species composition with the highest contribution to the weight gain of specific gender and age Tibetan sheep, and generate an electronic fence with a nutrition score to guide the precise transhumance of herdsmen.

The invention discloses a herdsman credit assessment method and device and a storage medium, and relates to the technical field of big data. The method comprises the following steps: acquiring historical environment data, current environment data, historical image data and current image data of a current grazing area corresponding to herdsmen and current biological data of livestock in the current grazing area; carrying out epidemic disease prediction according to the current environment data and the current biological data so as to determine the epidemic disease occurrence probability of the livestock in the current grazing area; determining a meteorological loss rate in the prediction time period based on the historical environment data, the current environment data, the historical image data and the current image data; and determining a target credit score of the herdsman in combination with the current credit score of the herdsman, the epidemic disease occurrence probability and the meteorological loss rate. According to the technical scheme, the current credit score of the herdsman, the epidemic disease occurrence probability of the current grazing area and the meteorological loss rate are comprehensively considered, accurate credit assessment of the herdsman is realized, more adaptive financial services are provided for the herdsman, and the experience of the herdsman is improved.

The invention belongs to the technical field of grazing, and particularly discloses a real-time grazing livestock behavior monitoring device based on Beidou navigation positioning, which comprises an arc-shaped strip, a positioner and a contraction band, one end of the arc-shaped strip is connected with a positioner, a GPS positioning unit is arranged in the positioner and used for transmitting position data to the cloud end, the other end of the arc-shaped strip is inserted into the positioner through an insertion part, a round block is arranged on the surface of the arc-shaped strip, and a through groove is formed between the round block and the arc-shaped strip. According to the invention, through cooperation of the plug-in component and the slot, the ferrule can be conveniently sleeved on the neck of the livestock, position data is transmitted in real time through the positioner, the device cooperates with a cloud platform, functions of electronic fence triggering, border crossing and retention alarm, track playback and afterward tracing, zoned rotational grazing scheduling, livestock capacity accounting and the like can be realized, the manual inspection cost is reduced, and the working efficiency is improved. And the real-time performance, the reliability and the refinement level of grazing management are improved.

The invention relates to the technical field of image analysis, in particular to a pasture grassland grazing intensity evaluation method based on an unmanned aerial vehicle aerial photography technology. The method comprises the following steps: acquiring unmanned aerial vehicle aerial time sequence images covering a target pasture area, and performing spatial registration arrangement on the unmanned aerial vehicle aerial time sequence images to obtain a grassland aerial image set; grassland apparent structure change information is extracted based on the grassland aerial image set, and grassland coverage change data is generated accordingly; calculating grassland change rate characteristics on a continuous time scale based on the grassland coverage change data, and generating grassland change rate data; therefore, according to grassland change quantification and space unitization analysis based on unmanned aerial vehicle aerial photography time sequence data, the problem that traditional grazing intensity evaluation depends on a single time phase and is difficult to reflect continuous changes is solved, and objectivity and consistency of grassland grazing intensity evaluation of the pasture are improved.

This utility model relates to a bird control device for herbivorous birds in river and lake ecological restoration areas, comprising a boundary bird-proof cover net and a bird-proof vertical net. The boundary bird-proof cover net is continuously laid along the boundary of the ecological restoration area, with a width of 10-50m. The net surface curves upward from one end near the boundary of the ecological restoration area towards the center of the ecological restoration area, forming an angle of 30±5° with the water surface. The net surface has a diamond-shaped mesh of 3cm-10cm and a light transmittance of ≥85%. The lowest point of the boundary bird-proof cover net is 10-20cm above the water surface. The bird-proof vertical net is set within the area enclosed by the boundary bird-proof cover net, and includes several net bodies with their surfaces perpendicular to the water surface. The upper end of the net body is 0.5-1.5m above the water surface, and the lower end of the net body is 0-30cm above the water surface. The total length of the bird-proof vertical net extending parallel to the water surface is 150-300m / hm. 2 This invention effectively controls the grazing of herbivorous birds while maintaining the water's light transmittance and ecological connectivity. It does not actively harm birds, is more in line with environmental protection and animal welfare principles, does not affect the growth of aquatic plants in shallow water areas, and meets the needs of long-term management.

This invention discloses an automatic feeding device and method for waterfowl farming, belonging to the field of waterfowl farming technology. The device includes a feeding cage, an intelligent feeding mechanism, a soil improvement mechanism, and a monitoring and control mechanism. The feeding cage consists of a supporting cage, a bottom-lifting cage, a laterally extending cage, and a transition cage, forming a closed waterfowl farming environment. Through this method, the lifting and laterally extending feeding cage structure allows the device to be close to the ground and extend between adjacent fruit tree trunks, strictly limiting the waterfowl's activity range to the target area, preventing them from pecking at fruits and branches, and resolving the conflict between grazing and fruit tree growth. The environmental control mechanism provides a comfortable living environment for the waterfowl, and the cage structure remains closed during extension and lifting. The soil improvement mechanism enables in-situ fermentation and decomposition of manure, achieving an ecological closed loop of "farming-weeding-fertilizing."

The invention belongs to the technical field of smart agriculture, particularly relates to a smart pasture breeding regulation and control method based on Internet of Things data and an optimization model, and aims to solve the problems of grass and livestock imbalance, ecological degradation and low benefits caused by lack of a scientific decision mechanism in a high and cold mountain pasture. According to the method, multi-dimensional data of grassland and livestock are collected in real time by deploying Internet-of-Things equipment, a dynamic optimization model which takes maximization of the total number of yaks as a target and meets five constraints including grass and livestock balance, supplementary feeding ability, population breeding and ecological sustainability is constructed, and a mixed integer programming algorithm is adopted for solving, so that the dynamic optimization model is obtained. Outputting the optimal livestock carrying capacity, the rotation grazing partition, the supplementary feeding amount and the artificial grass planting area; and the management terminal issues, executes and dynamically calibrates the model based on feedback data to form closed-loop regulation and control. According to the invention, quantitative management and intelligent decision-making of all elements of the pasture are realized, and ecological and economic benefits are remarkably improved.

The invention provides a concentric fan-shaped ring array-vacuum collaborative zero-hanging intelligent graded trapping and grazing integrated fishery system, which adopts K layers of concentric fan-shaped net cages, a two-stage venturi vacuum fish suction pump and a four-dimensional grazing system, and is integrated with an inflatable cushion-anchoring integrated sinking and floating system for the first time, so that 2-4h quick installation and 10-stage stormy wave safe operation are realized, and the system is simple in structure, convenient to operate and high in safety. The grading error is smaller than or equal to 1%, the fish body damage is smaller than or equal to 0.5%, the juvenile fish escape is smaller than or equal to 0.05%, and the transfer efficiency is larger than or

The application discloses a kind of cold-season grassland grazing monitoring methods based on timing remote sensing, comprising: by continuous remote sensing image acquisition spectrum variation sequence, enhance signal by multi-temporal difference calculation, extract surface reflectivity curve and determine the abnormal point set of potential grazing event in combination with texture analysis.Spatial connectivity of tracking abnormal points, utilize timing filter to generate continuous trajectory path data, and match with frozen soil period signal, obtain grazing trajectory set.Correspond with remote sensing image spatial coordinates, generate preliminary grazing mode map, extract livestock movement path features, confirm effective grazing event, finally through texture analysis to refine boundary, realize the accurate monitoring of cold-season grassland grazing activity.The application significantly improves the automation identification accuracy and efficiency of grazing trajectory, and provides a scientific basis for grassland ecological monitoring and management.

The invention relates to the technical field of coconut garden land cultivation, in particular to a coconut forest ecological grass control and land cultivation method based on pasture mixed sowing and gradient grazing, and the method comprises the following steps: removing sundries in a young coconut garden, cutting weeds in a low level, then mixing and sowing gramineous pasture black seed paspalum and leguminous pasture stylosanthes guianensis according to a mass ratio of 5: 1, and the total seed consumption is 25-30kg / hectare. After the forage grass coverage degree is larger than 80% and the plant height is larger than or equal to 30 cm, the gooses are introduced into the gooses at the density of 15-45 gooses per mu for gradient grazing, and the grazing is stopped until the forage grass height is reduced to 10-15 cm. According to the method, dual grass control is achieved through grass competition and goose group ingestion, leguminous nitrogen fixation and goose manure returning are used for improving soil fertility and promoting coconut tree growth, meanwhile, goose products are produced, an ecological cycle mode of raising geese with grass, controlling grass with geese and raising land with grass is formed, the management cost is remarkably reduced, and the method has ecological and economic dual benefits.