202 results about "Feed management" patented technology

The invention provides a water quality and feeding linkage management method and system based on the Internet of Things, and relates to the technical field of feeding management, and the method comprises the steps: deploying a sensor, and collecting water quality data; a water quality and feeding linkage model is constructed based on the water quality data, and the feeding amount is dynamically adjusted; feeding the feed based on the feeding amount, and optimizing the feeding amount according to real-time feedback; establishing a water quality abnormity monitoring model, and monitoring water quality data; if the water quality is abnormal, starting an adjusting mechanism; water quality data and feeding amount are remotely monitored, trend analysis is performed based on historical data, and automatic decision making is realized through an intelligent algorithm.

The invention discloses an aquaculture intelligent feeding management system based on the Internet of Things, and relates to the technical field of aquaculture, a camera and a dissolved oxygen detector are utilized to construct an Internet of Things monitoring module, fish school behaviors and water quality environment data are collected in real time, and the movement track, group density and feeding state of a fish school are extracted; secondly, light-weight algorithms such as TinyYOLO and the like are adopted, rapid analysis of feeding intensity and feeding requirements is achieved in a local embedded computing module, a feeding model is generated, and dependence on high-performance hardware and cloud computing is reduced; meanwhile, the feeding control logic device dynamically calculates the optimal feeding amount and the optimal feeding opportunity based on the feeding state and the environmental characteristics; by monitoring the change of the ingestion intensity, the system catches the optimal ingestion window of the fish school, and maximization of the feed utilization rate is achieved; meanwhile, in combination with feedback analysis and a closed-loop optimization mechanism, model parameters are dynamically adjusted according to the feeding effect of the last round, and the environmental adaptability of the feeding plan is improved.

The invention relates to the field of breeding industry, and discloses a pig behavior-based pig health condition analysis method and system, and the method comprises the steps: carrying out the comprehensive monitoring of pig behaviors, capturing the gait, feeding mode, excretion behavior and activity range of a pig in real time based on a behavior feature extraction algorithm, and obtaining a behavior state video stream sequence; multi-dimensional time sequence correlation analysis is carried out on the behavior state video stream sequence, and historical behavior data, pig weight changes and physiological parameters are combined; based on the dynamic time sequence feature vector, dynamically identifying a change track of pig behaviors by applying a self-adaptive behavior identification algorithm; performing correlation analysis on the detected abnormal behavior pattern and the potential health risk of the pig, fusing the environmental factors, group behavior data and health history of the pig, and identifying a potential health problem; and based on a risk early warning result, automatically adjusting environmental parameters and feeding management strategies, and providing intervention measure suggestions. The pig health management system has the advantage of improving the efficiency and accuracy of pig health management.

The invention relates to the technical field of livestock and poultry epidemic disease management, and particularly discloses an intelligent livestock and poultry epidemic disease early warning and partitioned prevention and control management system and method, and the method comprises the steps: laying an integrated intelligent sensor network in a livestock and poultry farm, and collecting environment parameters, feeding management data and animal health data in real time through a low-power-consumption Internet of Things technology; transmitting the collected multi-dimensional data to a cloud platform by utilizing an edge computing technology; based on multi-dimensional data, a deep learning and multi-source data fusion analysis technology is adopted, a dynamic disease risk prediction model is constructed, and generalization ability of an adversarial generative network optimization model in a complex environment is introduced; by arranging the integrated intelligent sensor network, environmental parameters, feeding management data and animal health data in the livestock and poultry farm are comprehensively collected in real time, the early monitoring capability of epidemic diseases is remarkably improved, potential epidemic disease risks are found in time, and precious time is won for subsequent prevention and control work.

The invention discloses an intelligent beef cattle breeding and feed management monitoring system in the technical field of cattle breeding. Comprising an NFC label used for distinguishing cattle, a camera used for shooting the overall state of the cattle, a weighing instrument used for being placed on one side of a trough to weigh the cattle, a temperature and humidity sensor and an accurate feeding module. Calculating and preparing a feed formula and total amount; and the intelligent monitoring module is used for receiving the feed intake and the cattle state video data of the cattle identified and monitored by the camera, and automatically judging the overall state of the cattle according to the feed intake and the cattle state video data. The system is scientific and reasonable, the system makes a scientific and reasonable mating plan, and ensures that cattle can obtain appropriate nutrition supply through data sharing and cooperative work, and effective linkage of breeding and feed management is achieved.

The invention relates to the technical field of intelligent production management, and discloses an intelligent production comprehensive management method and system for realizing timed feeding, and the method comprises the steps: obtaining biological characteristic data of a fed object, modeling to generate feeding demand model data, and confirming timed and quantitative or dynamically adjusting a feeding mode; setting and optimizing an initial plan based on different modes, and generating time period adjustment data and adaptation range data; dynamic feeding parameter adjustment data are generated through prediction and analysis, and a control strategy is constructed; feedback data is collected to evaluate efficiency and optimize the strategy. The system comprises a feeding mode recognition module, a timed feeding plan module, a dynamic feeding adjustment module and a strategy optimization module. Through multi-dimensional data integration and dynamic adjustment, accurate feeding management is achieved, the feeding efficiency and the feed utilization rate are improved, the method is suitable for the field of intelligent production management, and the problem that a traditional feeding mode is insufficient in flexibility and accuracy is solved.

The invention discloses a feeding method and device capable of automatically adding pig raising feed, and aims to optimize feed management in the pig raising process through an automatic and intelligent technology. Comprising the following steps: monitoring environmental parameters such as temperature, humidity and air quality in a pig house in real time through an environment monitoring device, and transmitting data to a central control system; the central control system dynamically generates and adjusts a feed formula according to environmental parameters and growth stages and health conditions of pigs, and accurately mixes feed components through an automatic proportioning device. The feed trough sensor monitors the residual amount of feed in the feed trough, and when the feed is insufficient, the system automatically controls the feed conveying device to supplement the feed. In the feeding process, the central control system adjusts the feed adding frequency and the feeding amount according to real-time data, and the cleaning device is combined with the ultrasonic cleaning and nano-coating technology, so that the cleanliness and long-term stable operation of the equipment are ensured.

The invention relates to the technical field of agricultural science, and discloses a low-purine ecological pig circulating breeding system which comprises a breeding environment regulation and control module, a low-purine feed management module, an excrement treatment module, a recycling module, a health monitoring module, an intelligent decision-making module, a traceability management module, a water quality purification module and an energy recovery module. The breeding environment regulation and control module monitors in real time and automatically regulates pig house environment parameters through a distributed sensor network; the low-purine feed management module generates a low-purine feed formula based on growth stage recognition and nutritional requirement analysis; the excrement treatment module is used for converting breeding wastes into organic fertilizer raw materials; the cyclic utilization module realizes precise returning of the organic fertilizer to the field according to planting requirements; the health monitoring module evaluates the purine level of the swinery; the intelligent decision-making module integrates the multi-source data to generate a comprehensive optimization scheme; and the traceability management module records whole-process data through a block chain technology. The stability of low-purine culture is guaranteed, and the success rate of low-purine culture is increased.

The invention discloses a meat rabbit body weight and body size automatic measuring system based on machine vision, and relates to the technical field of breeding data analysis. The automatic measurement platform is in communication connection with an image capture module, a meat rabbit feature extraction module, a posture transformation module, a body size measurement module, a weight measurement module, a data calibration verification module and a user interaction module, and all the modules are in electric signal connection; and the image capturing module is used for capturing image data of the meat rabbit from different angles. According to the meat rabbit body weight and body size automatic measurement system based on machine vision, measurement of the body weight and body size of a meat rabbit, monitoring of the growth condition of the meat rabbit and capturing of the change trend of the body weight and body size are realized through an image processing technology, so that managers can find abnormal growth or potential health problems of the meat rabbit in time and take corresponding intervention measures, and the management efficiency is improved. Therefore, the feeding management strategy is optimized, and the growth performance and health condition of the meat rabbits are improved.

The invention, which relates to the technical field of modern chicken raising, discloses a feed supply control system for a modern chicken farm, comprising a chicken house environment management system and a feed management system. Wherein; the feed supply control system further comprises a remote observation module and an abnormal alarm system which are matched with the henhouse environment management system, and the connection mode is 5G wireless connection. According to the feed supply control system for the modernized chicken farm, modernized chicken raising is different from a chicken raising mode of free-ranging in rural areas, an original manual labor raising mode is abandoned, an intelligent control system is adopted to realize remote automatic raising, the labor cost and the operation cost are greatly reduced, and the chicken raising efficiency is improved. Meanwhile, the infrastructure requirement of a modern large-scale chicken farm is greatly met in the breeding process, a good growth environment is created for chicken flocks in the chicken farm, the cost investment of the chicken farm is effectively saved, and the economic benefits of farmers are guaranteed to be achieved to the maximum extent.

The invention belongs to the technical field of livestock and poultry genetic markers and animal genetic breeding, and particularly relates to a structural variation molecular marker related to chicken secondary average feed intake and application of the structural variation molecular marker. The nucleotide sequence of the structural variation molecular marker provided by the invention is as shown in SEQ ID NO: 1, the structural variation molecular marker is located at 14th, 881, 990-14th, 882 and 295bp of a chicken chromosome 12, and the structural variation molecular marker is a deletion marker. The key genetic marker related to the chicken feeding behavior is provided, important information is provided for genetic breeding of the broiler chicken, meanwhile, broiler chicken varieties with different feeding behavior habits can be bred according to different markets and feeding environments, refined feeding management measures are formulated, and therefore the production efficiency and the feed utilization rate are improved, and the economic benefit is increased. And the economic benefit of the broiler industry is improved.

The invention provides an intelligent cattle farm feeding management system, which belongs to the technical field of intelligent agriculture and animal husbandry, and comprises a data acquisition module, a data processing module, a control module, a user interface module, a communication module and a storage module. The system obtains cattle farm environment and cattle physiological behavior data in real time through a multi-source sensor and image acquisition equipment, intelligent analysis and decision generation are carried out through algorithms such as machine learning, reinforcement learning and fuzzy logic, and automatic management of functions such as feed feeding, environment regulation and control and health early warning is achieved. The system has the characteristics of comprehensive perception, intelligent decision making and accurate execution, the cattle farm feeding efficiency can be effectively improved, cattle health is guaranteed, and the operation cost is reduced.

The invention belongs to the technical field of livestock feeding management, and particularly relates to a livestock breeding feeding precise management method and system based on an AI technology. A fixed feeding mode based on a growth stage and a self-adaptive dynamic correction algorithm based on environment deviation and activity fluctuation are fused; a multi-dimensional data-driven feeding amount decision model is constructed, dependence of a single parameter is broken through, accurate feeding can be performed according to real-time monitoring data by adopting a self-adaptive feeding mode when the environment or activity amount fluctuates and deviates, the nutritional requirements of livestock are better met, and the feeding efficiency is improved. When data acquisition is abnormal or the environment and activity amount are stable and appropriate, a fixed feeding mode is adopted, and the fixed feeding mode can be periodically updated according to a self-adaptive feeding mode, so that the feeding accuracy and efficiency are improved, the feed waste is reduced, the stability of feed feeding is guaranteed, and the feeding efficiency is improved. And the feeding effect can be brought into an optimal state.

The invention discloses a feed proportion identification method and system based on a calf weighing process, and relates to the technical field of electric digital data processing. The feed proportion identification method based on the calf weighing process comprises the following steps: S1, judging a first feed proportion; s2, adjusting the ratio of the first feed; s3, adjusting the ratio of the second feed; and S4, calf feeding management optimization. The first feed proportion adjustment is performed according to the feed proportion adjustment index obtained through the feeding data, then the second feed proportion adjustment is performed if the feed adjustment effect index obtained through the feeding change data is not greater than the preset adjustment effect threshold value, and finally the feed proportion timeliness index is obtained according to the feeding time data. And whether the preset personnel is prompted to perform calf feeding management optimization is judged based on the feed proportion timeliness index, so that the effect of improving the updating timeliness of the calf feed proportion is achieved, and the problem of insufficient relevance between feed proportion identification and updating and calf weight in the prior art is solved.

The invention discloses a control device and method for precise feed management, and relates to the technical field of feed processing. The system comprises a manufacturing execution unit, an intelligent unit and an intelligent terminal. The manufacturing execution unit, the intelligent unit and the intelligent terminal are mutually connected; the intelligent terminal is provided with an intelligent detection equipment module, a data acquisition equipment module, an intelligent production equipment module and an intelligent logistics equipment module. The problem that the production cost of the feed industry is reduced is solved, the state of equipment for producing feed is sensed in real time, it is guaranteed that production raw materials are strictly controlled and supervised in the production process, and the production cost is reduced by finely managing each process in production.

A poultry and livestock feeding and monitoring system is provided. The system mainly includes a feeding management unit, a mobile monitoring unit, and a remote monitoring unit. A plurality of control parameters and schedules are set up by the mobile monitoring unit or the remote monitoring unit for driving the feeding management unit to work. Thus various operations including water quality monitoring, drinking water supply, drinking water recovery, and measurement of weight of poultry and livestock, etc. are carried out according to the schedules being set. Therefore, the amount of water consumed by the poultry and livestock and weight of the poultry and livestock can be understood accurately. A warning is issued when the poultry and livestock drink insufficient amount of water. Thereby healthy growth of the poultry and livestock is ensured.

The invention provides a multi-source sensing integrated intelligent feeding scheduling and dieting control method and system for a cowshed, and relates to the technical field of intelligent agricultural control, and the method comprises the steps: collecting cattle physiology, cowshed environment, feed state and equipment operation parameters in real time through a distributed sensing network; a machine learning model fusing a time sequence convolutional network and a self-attention mechanism is utilized to predict an individualized feeding demand and a dieting threshold value, and a feeding-dieting risk map for quantifying health and production risks is generated; simulating an extreme scene based on a digital twinborn model to perform dual consistency check, and generating a robust detailed scheduling scheme; converting the scheme into a control instruction to drive execution equipment, and iteratively optimizing the model and the rule; the system comprises a multi-source sensing data acquisition module, an instruction execution module, a feedback optimization module and the like. According to the method, the accurate and self-adaptive feeding management efficiency of individual cattle in a group is improved, the feed utilization efficiency is effectively improved, and the metabolic disease risk is reduced.

The invention discloses a feed containing astragalus polysaccharide and a preparation method thereof, and belongs to the field of feeds. The astragalus polysaccharide is added into the basic feed, so that the adverse effect of heat stress on the female rabbits can be effectively relieved, the conception rate of the female rabbits, the number of live litters and the average weight of the live litters can be increased, and the breeding economic benefits are improved while the reproductive performance is optimized and the growth of the young rabbits is promoted; the prepared feed can effectively improve the serum hormone level of animals and reduce the inflammatory factor level, meanwhile, the diversity of animal intestinal microorganisms under heat stress is effectively improved, a scientific basis is provided for precise feeding management of domestic rabbits in summer, and meanwhile, an important reference is provided for application of astragalus polysaccharide in the field of livestock and poultry anti-stress.

The invention relates to the technical field of intelligent animal husbandry, and discloses a mutton sheep quantitative intelligent feeding management system based on the Internet of Things. Comprising a multi-modal sensing module, an edge computing gateway, a metabolic efficiency feedback factor computing unit, an individual nutrition digital twin modeling unit, an active disturbance response verification mechanism execution unit, an intelligent feeding terminal and a group knowledge evolution module. According to the system, an individual nutrition digital twinborn modeling unit is adopted and is combined with an online reinforcement learning algorithm, and an accurate feeding decision is generated according to a metabolic efficiency feedback factor and a nutrition elasticity coefficient matrix; and an active disturbance response verification mechanism execution unit applies controllable tiny disturbance when the model is uncertain, and an elastic coefficient matrix is dynamically updated. According to the method, the physiological state of the individual is sensed in real time by using multi-modal data, dynamic closed-loop control based on metabolic efficiency is realized, the cold start problem of the new individual is solved through knowledge distillation, and the feed conversion efficiency and the culture benefit are remarkably improved.

The invention discloses a method for predicting the delivery weight of a sow based on a machine learning model, and relates to the field, and the technical scheme of the invention comprises the following steps: S1, collecting data, measuring the weight of a sample sow at a plurality of time points, and measuring the backfat thickness of a P2 point of the sow; s2, data analysis: adopting Pearson correlation analysis to construct a correlation coefficient matrix; s3, weight prediction: establishing a Weibull equation of the data set according to the measured delivery weight and day age, and obtaining delivery weight prediction. The prediction method can more accurately, reliably and conveniently evaluate the body weight of the sow through a model, facilitates understanding of the maternal growth rule and the body condition reserve state of the pregnant sow, timely and effectively intervenes in advance in feeding management of the sow, and improves the reproductive performance of the sow.

The invention discloses a poultry refined feed nutrition proportion management system, and relates to the technical field of breeding management. The system comprises a feed pre-mixing unit used for preparing a plurality of feed formulas with preset nutrition ratios; the sampling inspection analysis unit is used for dividing the sample egg fowls into a plurality of egg fowl feature groups according to the parameter values of the plurality of types of physical characteristics of the sample egg fowls, and acquiring the parameter value range of each physical characteristic of the egg fowls in each egg fowl feature group; the laying fowls in each laying fowl characteristic group are fed in groups until slaughtering, and a feed formula suitable for the laying fowls in each laying fowl characteristic group is obtained through detection and analysis; the feeding management unit is used for setting a feeding area for each feed formula; the in-fence sorting unit is used for obtaining a feed formula suitable for each target laying fowl; and distributing the target laying fowls to the corresponding feeding areas according to the feed formula of the target laying fowls. According to the method, the marketing egg yield of the laying fowls is increased, and the breeding egg-feed ratio is increased.

The invention discloses an automatic feeding system and method for fishpond cultivation, and belongs to the technical field of fishpond feeding, the automatic feeding system comprises a supporting floating plate, a plurality of driving devices used for driving are arranged at the bottom of the supporting floating plate, and the automatic feeding system further comprises a feed storage mechanism arranged above the supporting floating plate. According to the device, the feeding cleaning assembly is arranged, so that feed is accurately distributed in a target area, fish school gathering is promoted while feed waste is reduced, feeding management is facilitated, excrement and residues attached to the net face are efficiently removed in the recycling process by combining eccentric vibration of a vibration roller, scraping and sweeping of a scraper and multiple cleaning arrangement of airflow jetting, and the recycling efficiency is improved. The laying net is kept sanitary, secondary pollution is prevented, the vibration roller achieves composite motion of rotation and revolution through gear transmission, the vibration effect is greatly enhanced, air flow jetting is matched, net face drying can be accelerated, the impurity separation efficiency is improved, excrement and residual material cleaning and recycling are achieved, influences on a fishpond water body are avoided, and the quality of the fishpond water body is guaranteed.

The invention discloses a sturgeon residual feed dynamic counting method based on multi-target tracking. The sturgeon residual feed dynamic counting method comprises the following steps that S1, video data of residual feed in water flow is collected at a water changing opening of a sturgeon culture pond through an overwater camera; s2, optimizing the quality of the acquired image through an image enhancement technology; s3, a YOLO model is adopted as a detector, accurate detection of residual bait is achieved, and stable tracking is conducted on the residual bait through an improved SORT algorithm; and S4, carrying out accurate statistics on the tracking result based on the dynamic counting line. The method is suitable for residual feed counting in sturgeon industrial culture, accurate data support can be provided for bait feeding management, the bait utilization efficiency is optimized, the culture cost is reduced, and efficient technical guarantee is provided for intelligent aquaculture.

The invention discloses a method and a device for estimating residual feed in a feed trough of a stacked caged laying hen house. The method comprises the following steps: building a residual feed data acquisition system, and acquiring videos of chicken coop troughs at different heights in a stacked caged chicken coop through the residual feed data acquisition system; constructing a trough remnant feed prediction model, training the trough remnant feed prediction model by using each frame of coop trough picture, and obtaining a trained trough remnant feed prediction model after training is finished; inputting the hencoop trough video into the trained trough residual feed prediction model, and obtaining the position of each cage column and the position of a residual feed area; and according to the cage column position and the residual feed area position output by the feed trough residual feed prediction model, obtaining the residual feed proportion of each feed trough in the chicken coop feed trough picture. Through the automatic residual feed data acquisition system and the deep learning model, accurate estimation of the residual feed amount of the feed trough of the laying hen house is realized, the precision and efficiency of feed management are greatly improved, and personal errors and labor intensity are reduced.

The invention discloses a breeding and maturing method of Sichuan parabramis pekinensis parent fish, which comprises the following steps: putting male and female parabramis pekinensis into a breeding pond with the putting density of 150 parabramis pekinensis / m < 2 >; the tubificidae and the sturgeon special feed are uniformly mixed for domestication, the weight ratio of the tubificidae to the sturgeon special feed is 8: 2, and an artificial nutrition feed additive is supplemented; 7-10 days before spawning induction, feeding is stopped; feeding management: the dissolved oxygen in the culture water is greater than 6mg / L, the average water temperature is 23 DEG C, and the pH value is 6.5-7.5; disinfecting the parent fish culture pond every other January; water flow stimulation: adjusting the water flow speed to 0.04 m / s; in the close breeding period, a rainfall temperature increasing and water flow stimulation combined mode is adopted, and water surface and underwater combined mode is adopted for water flow stimulation. According to the method, through artificial regulation and control, the female and male Sichuan parabramis pekinensis parent fishes are mature, the brood amount is large, the reproductive capacity is high, the sperm and egg quality is high, and synchronous maturation of the female and male parent fishes is achieved.

The invention provides a method for rapidly evaluating the utilization rate of genetic engineering pig feed, and relates to the technical field of agricultural breeding. The method comprises the following steps: selecting genetically engineered pigs; feeding management; pig manure and pig urine are collected and treated; detecting daily ration, pig manure, pig urine and gas; and comprehensively processing the detection data. The feed utilization rate of the genetically engineered pigs can be comprehensively evaluated, and the evaluation method is high in accuracy.

The invention discloses a dairy cow 40K medium-low density SNP chip based on targeted capture sequencing and application thereof. The invention provides a chip for detecting genotypes of dairy cows. The chip comprises a reagent for specifically detecting SNP (Single Nucleotide Polymorphism) sites; the SNP loci are 44373 SNP loci in a table 2; the position information of the 44373 SNP loci in the table 2 is determined by comparison based on a dairy cow genome reference sequence, and the dairy cow genome reference sequence is in the version of Bosula UMD3.1. Compared with the existing 30K, 126K and 150K chips, the 40K chip disclosed by the invention has consistent detection performance in the aspects of SNP (Single Nucleotide Polymorphism) detection rate, polymorphism detection, individual genotype detection rate, genetic evaluation accuracy and the like. The chip disclosed by the invention can be applied to cow whole genome selection and genetic defect identification, and has important significance on early breeding of replacement cows, cow core group establishment, seed selection and matching, acceleration of genetic progress and improvement of feed management efficiency.

The invention discloses a dairy cow 10K low-density SNP (Single Nucleotide Polymorphism) chip based on targeted capture sequencing and application thereof. The invention provides a 10K low-density chip for detecting genotypes of dairy cows. Comprising 11352 SNP loci and 6 INDEL loci (mainly comprising three types of loci related to dairy cow importance characters, paternity test and genetic defect loci and loci selected from an existing commercial dairy cow genome chip) on a dairy cow genome. Compared with an existing high-density chip, the 10K low-density genome chip provided by the invention is low in detection cost, and compared with the existing high-density chip, the 10K chip provided by the invention is consistent in detection performance in the aspects of SNP (Single Nucleotide Polymorphism) detection rate, polymorphism detection, individual genotype detection rate, genetic evaluation accuracy and the like. The chip disclosed by the invention can be applied to cow whole genome selection and genetic defect identification, and has important significance on early breeding of replacement cows, establishment of cow core groups, seed selection and matching, acceleration of genetic progress and improvement of feed management efficiency.

Provided is a loach fry cultivation method, the method comprising fry pond clearing, water quality management, and feeding management. First, performing fry pond clearing, controlling the depth of a cleared fry pond at 40-60 cm, placing loach fry hatched on the same day into the fry pond and controlling the stocking density of the loach fry at 450-600 fish per square meter; after placing the loach fry into the fry pond, performing water quality management on the fry pond and performing feeding management for the loach fry in the fry pond until the loach fry reach a length of 3-5 cm. During the loach fry feeding period, feeding is skipped every other day. A one-day period without feeding allows the gastrointestinal tracts of the loach fry to rest and adjust, and effectively prevents excessive fish feed from accumulating in the fry pond.

The invention relates to the technical field of poultry breeding, and discloses an automatic goose ingestion measuring device which comprises a storage barrel, a feeding trough is arranged at the bottom of the storage barrel, a detachable cover plate is arranged at the top of the storage barrel, a mounting shell is fixedly connected to the outer portion of the storage barrel, and a balance weight plate is arranged in the storage barrel. A force storage mechanism, a warning mechanism and a spring box are arranged in the mounting shell, a traction rope is arranged between the balance weight plate and the force storage mechanism, and the balance weight plate is placed on the top of feed in the feed storage barrel. Real-time monitoring of the feed horizontal line in the feed storage cylinder is realized, and when the feed horizontal line is reduced to a preset value, ringtone early warning is automatically triggered, so that a worker is quickly reminded to supplement feed, the position of the feed horizontal line in the feed storage cylinder does not need to be manually and frequently inspected, the management cost of a livestock farm is remarkably reduced, and the ingestion continuity of a goose group is ensured; the problems that in traditional goose breeding, feed management efficiency is low, and the manual dependence degree is high are effectively solved.