460 results about "Zooid" patented technology

The invention belongs to the technical field of data processing and animal behavior recognition, and discloses an animal abnormal state intelligent monitoring method and system based on biological behavioristics, and the method comprises the following steps: S1, constructing and training an animal abnormal state monitoring model; s2, constructing an animal abnormal state monitoring network system; and S3, carrying out intelligent monitoring on the abnormal state of the animal. According to the method and the system provided by the invention, multi-model fusion is adopted, the animal behavior data is efficiently processed in real time, and the accuracy and the robustness of animal abnormal state monitoring are improved through more comprehensive and abundant feature representation data and twice judgment; the system can realize real-time monitoring of animal individual and group behaviors, timely discover abnormal states and perform early warning or intervention, can be widely applied to zoos, farms and the like, meets industrial requirements of large-scale and large-quantity animal synchronous monitoring, and effectively protects health and safety of animals.

The invention provides a sick juvenile fish identification method based on an improved YOLOv10 model, and the method comprises the steps: collecting a fish image in a water area as a to-be-detected image, and carrying out the preprocessing of the to-be-detected image, and obtaining an image data set; the method comprises the following steps: constructing a YOLOv10-UDFishNet model; the image data set is input into the YOLOv10-UFFishNet model, the YOLOv10-UFFishNet model is trained through the image data set, and the trained YOLOv10-UFFishNet model is obtained; and inputting a fish image in a water area to be detected into the trained YOLOv10-UFFishNet model to obtain a fish detection result and position information of a fish individual target. According to the method, the sick juvenile fish in the turbid underwater environment can be accurately and efficiently identified.

The invention relates to a composition for identifying epinephelus fuscoguttatus, epinephelus coioides and hybrid offspring and application, and belongs to the field of molecular biology, the composition comprises a pair of primers and a group of probes, and the sequences are shown as SEQ ID NO.1-4. The invention further provides a kit for identifying the epinephelus fuscoguttatus, the epinephelus coioides and the hybrid offspring thereof, and the kit is used for identifying the epinephelus fuscoguttatus and the hybrid offspring of the epinephelus coioides and the hybrid offspring of the epinephelus coioides and the hybrid offspring of the epinephelus coioides. The kit comprises the composition disclosed by the invention. The composition can be used for rapidly identifying epinephelus fuscoguttatus, epinephelus coioides and hybrid filial generation gold and tiger hybrid spots of the epinephelus coioides, the epinephelus coioides and the hybrid filial generation gold and tiger hybrid spots of the epinephelus coioides and the epinephelus coioides and the hybrid filial generation gold and tiger hybrid spots of the epinephelus

The invention discloses a method for detecting the biological enrichment microplastic degree of bivalve mollusks in a deep sea extreme environment. According to the method, biocenosis is sampled to acquire a community structure representing a biological bed layer, then morphological characterization statistics is carried out to classify age stage data of shellfish individuals, a multivariate factor analysis method is used to obtain the shellfish individuals with the largest contribution degree in each classification age stage, then tissue-divided micro-plastic extraction is carried out, and the classification age stage data of the shellfish individuals with the largest contribution degree is obtained. The method comprises the following steps: reducing the form of seabed micro-plastics, carrying out process identification on full-size micro-plastics, tracing the duration of adsorbing the micro-plastics by each shellfish monomer by virtue of a carbon-14 dating method, and constructing a seabed shellfish dynamic enrichment curve by splicing the life of each shellfish; and finally amplifying to the whole shellfish bed layer to deduce the microplastic enrichment rate and historical accumulation amount of the whole extreme ecosystem. The method provides a scientific basis and a technical support for formulating an effective marine environment protection strategy and clarifying a marine micro-plastic source-sink relationship.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to growth traits of litopenaeus vannamei and application of the SNP molecular marker, and belongs to the field of molecular marker-assisted breeding of aquatic animals. The genome DNA of the muscular tissue of the litopenaeus vannamei to be detected is extracted as a template, the gene is subjected to PCR amplification and sequencing, the genotype of the molecular marker SNP1-3 is determined, and the molecular marker SNP1-3 is used as the SNP molecular marker for seed selection, so that the aim of quickly screening litopenaeus vannamei individuals with obvious growth advantages in the early stage is fulfilled. According to the molecular marker related to the growth traits of the litopenaeus vannamei, the breeding period can be greatly shortened, the fine breed breeding process of the litopenaeus vannamei is accelerated, the breeding efficiency is improved, and the breeding cost is reduced.

A marine zooplankter identification method based on in-situ images and deep learning is used for processing a multi-stage series deep learning architecture constructed for all in-situ images, and comprises the following steps: quickly positioning and framing zooplankter individuals under a complex background based on a YOLOv8 skeleton construction model; performing pixel-level fine segmentation on individuals in the in-situ image by using a U-Net model, and extracting an accurate contour to obtain a high-quality individual image; and finally, inputting the image into a PlanktonNet network innovatively designed based on a ViT architecture, and through adaptive small-size slice embedding and introduction of a convolution word embedding layer, improving small-scale target feature extraction capability, and realizing high-precision and fine-grained classification of genera and species. The method has the advantages that target detection, semantic segmentation and recognition tasks are organically fused, the problems of low recognition efficiency and low automation degree in the prior art are effectively solved, and marine zooplankton can be quickly and accurately recognized from in-situ images on a large scale.

The invention discloses a marine fish myoblast in-vitro proliferation method. A basal culture medium is used as a background culture medium of a culture medium; the culture medium contains IGF2 protein with the final concentration of 20-200 ng / mL; the IGF2 protein is derived from plectropomus leopardus. The culture medium is used for culturing the passage cells to obtain the myoblasts proliferated in vitro of the plectropomus leopardus, the in-vitro culture of the myoblasts of the plectropomus leopardus is successfully realized, the number of the myoblasts reaches 30000, and the in-vitro proliferation rate reaches 87%. The invention provides raw materials for exploring the self function of myoblasts and gene regulation and control mechanism, provides preconditions for an in-vitro certification experiment for further exploring the influence of the myoblasts of marine fishes on the growth speed, and also lays a foundation for improved variety breeding of the marine fishes.

Provided is a hygrophilous animal and waste discharging system for use in the breeding industry, which relates to the technical field of waste discharging apparatuses. The system comprises a filter box (5), wherein a feeding pipe (11) is fixedly connected to an upper surface of the filter box (5); a matched inclined filter screen (21) is fixedly connected inside the filter box (5); a first support frame (6) is connected to a lower surface of the filter box (5) by means of a vibration mechanism; a screening mechanism for screening out solid impurities is in communication with one side of the filter box (5) through a first conveying pipe (12); and a crushing mechanism for crushing animal carcasses is in communication with one side of the screening mechanism. During a waste discharging process, the carcasses of individual dead animals can be separated from solid contaminants, such that the individual dead animals are prevented from impairing the manufacturing of a fertilizer; and the carcasses of the individual dead animals can be crushed, which subsequently facilitates a fermentation reaction treatment by using the crushed carcasses, such that the carcasses of the individual dead animals can be easily and harmlessly treated and used as resources.

The invention relates to the field of intelligent breeding, aims to solve the problems that traditional cattle breeding is inaccurate in monitoring and early warning, extensive in feeding control and insufficient in environment control linkage, and provides a fine management method and system. The method comprises the steps of system initialization and individual binding, multi-dimensional data acquisition, physiological state accurate early warning, dynamic adaptive feeding, environment linkage regulation and control and data statistics optimization. The system correspondingly comprises an individual identification and data acquisition module, an improved physiological state monitoring and early warning module, a dynamic adaptive feeding control module, an environment regulation and control module, a data storage and analysis module and a system operation and maintenance module. Multi-dimensional data are collected through the intelligent neck ring, an individual adaptation algorithm is adopted for early warning of the health state, an exclusive feeding scheme is generated, and the breeding environment is regulated and controlled in a linkage mode. The method and the system improve the health rate and the breeding efficiency of cattle herds, reduce feed waste, and are suitable for large-scale cattle breeding fine management scenes.

The invention relates to the technical field of path planning, and provides a multi-strategy collaborative enhancement path planning method and navigation equipment. The path planning method comprises the following steps: acquiring an environment map comprising a starting position and a target position; initializing DBO algorithm parameters; initializing a dung beetle population based on Bernoulli chaotic mapping; calculating the fitness value of each dung beetle; determining the boundary of each dung beetle, and continuously iteratively updating the individual optimal fitness value and the global optimal fitness value of each dung beetle; and outputting the optimal path of the unmanned aerial vehicle until the number t of iterations is greater than the preset number T. According to the method, the initial solution is generated by introducing the chaos mapping based on Bernoulli distribution, so that the diversity and the ergodicity of the initial population are enhanced, premature convergence is effectively avoided, and the global search capability of the algorithm is improved.

An autonomous system and method thereof for mass individual treatment such as injection of livestock or wild animals from a herd or group for precise delivery of a technical treatment or substance to an animal by intramuscular (IM) injection, subcutaneous (SQ) injection, or any transdermal injection, spraying, pouring-on, tagging, cooling, pinning, gluing or saddling, is described. The system comprises an ecological and ergonomically-designed smart grooming passageway for a single animal to move into and be calm while safely and snugly embraced for injection, and then motivated to move forward, allowing the next animal to amble in, after injection. The system has an adjustable autonomous device carrying an injection assembly with a number of injectors for delivery of injectable substances, as well as pre-injection desensitization and disinfection, and comprising a temperature control means for maintaining optimal and constant temperature of injectable substances. A camera and sensor array send various data to a controller and processor to determine the optimal individualized treatment. The system then instructs the injection assembly to inject injectable substances into a predefined injection target triangle of the animal's triangular mass of muscle on the side of the neck or any other injection target, thus achieving the highest efficiency and least amount of damage and stress to the animal, without risk to humans.

An intelligent bird feeding method and apparatus. The method comprises: continuously acquiring images of a bird feeding area by means of a camera; extracting image features by means of a backbone network of a pre-trained bird identification model to form an original feature vector; performing species identification on the original feature vector by means of a detection branch of the pre-trained bird identification model, and mapping identified species data into a continuous vector of a specified dimension by means of an embedding matrix, the dimension of the continuous vector being the same as the dimension of the original feature vector; superposing the continuous vector and the original feature vector to form a new feature vector, and inputting the new feature vector into a re-identification branch of the pre-trained bird identification model to obtain an individual identity of a bird; and when the identified animal species is bird, recording the individual identity and feeding data of the bird, and when the identified animal species is not bird, issuing an expelling signal.

A machine vision system for larval aquatic animal rearing constituted of a video camera, a watertight housing and a processor, wherein the video camera is arranged to continuously capture video of a predetermined volume and transmit the captured video to the processor, and wherein the processor is arranged to apply one or more neural networks to the captured video to: isolate individual aquatic animal within the video: identify at least one predetermined activity parameter and / or at least one predetermined morphological anomaly of the isolated aquatic animal.

The invention discloses a method for inducing ostrea rivularis triploid, and relates to the technical field of shellfish genetic breeding. The specific preparation method comprises the following steps: firstly, obtaining egg liquid and seminal fluid from gonads of female and male ostrea rivularis individuals, cleaning and curing the egg liquid, and adding the seminal fluid into the egg liquid after cleaning to obtain a fertilized egg solution; when the proportion of the first polar bodies in the eggs of the fertilized egg solution is 30-50%, adding an inducer into the fertilized egg solution for induction and cleaning to obtain induced fertilized eggs; and finally, hatching and screening the induced fertilized eggs to obtain D-shaped larvae, and culturing to obtain the crassostrea rivularis triploid population. The method for inducing the crassostrea rivularis triploid is high in triploid induction rate, high in final hatching rate, capable of stably surviving and good in application prospect.

The invention relates to the technical field of computer vision, in particular to a fish monitoring management system and method based on multi-source data analysis. The method comprises the following steps: performing video image acquisition and enhancement on a target fish school through multi-angle imaging equipment to obtain an enhanced video sequence; performing fish body swimming posture extraction on the enhanced video sequence to obtain a fish body feature original data set; performing body surface feature point classification on the fish body feature original data set to obtain a classification feature point set; constructing a fish body morphological feature vector according to the classification feature point set; performing fish body skeleton positioning and tracking according to the fish body morphological feature vector to obtain skeleton movement trajectory data; and performing body curvature quantification on the skeleton movement track data to obtain body curvature feature data. According to the method, the problem of unmarked individual identification of common cultured fishes is solved through dual biological characteristics of form fingerprints and behavior gaits, and technical support is provided for fine management of aquaculture.

The invention discloses a physical simulation method and device for the transportation effect of submarine organisms in a nuclear power plant, and the method comprises the steps: obtaining the motion parameters of target submarine organisms in the nuclear power plant, the motion parameters comprise one or more of individual mass, volume, body length, settling velocity, critical starting friction flow velocity, critical starting vertical line average flow velocity, starting wave height and critical starting flow velocity of target benthos of the nuclear power plant; establishing a physical model for simulating the transportation effect of the submarine organisms of the nuclear power plant; determining a simulant of the target benthos based on the motion parameters of the target benthos and a physical model; and simulating the amount of motion of the target benthos of the nuclear power plant by using the simulant and the physical model. In this way, it can be guaranteed that the motion process of the simulant should be kept similar to the actual motion process of the target benthic organism, the scale effect is avoided, and the premise is provided for accurately evaluating the entrainment and entrainment risk of the subbottom organism.

The invention provides a method for breeding all-male hybrid pelteobagrus fulvidraco through hybridization of double super-male populations, which comprises the following steps: S1, respectively constructing super-male maintenance lines of pelteobagrus fulvidraco and pelteobagrus vachelli by utilizing a sex reversal technology and a sex molecular marker; s2, carrying out artificial propagation on the maintenance line, and propagating the super male fish in batches; s3, partially replacing estrogen with an androgen antagonist for the propagated supermale fish, and synergistically inducing the supermale fish to obtain superfemale fish; s4, performing specific nutrient enrichment cultivation on the super female fish and the super male parent fish; and S5, carrying out reciprocal cross artificial propagation on the super-female fish and the super-male fish between the two super-male groups to obtain a heterozygous super-male group, namely commercial fry of the all-male hybrid pelteobagrus fulvidraco. According to the technical scheme, super-female fishes can be efficiently induced in batches, high-density breeding of parent fishes is achieved, and the effect and efficiency of artificial breeding are remarkably improved; the bred hybrid all-realgar catfish is high in individual uniformity, the growth speed is increased by 20%, and the male rate reaches 100%.

The invention discloses a specific DNA (deoxyribonucleic acid) sequence for non-destructive identification of genetic sex of escargots in China and an identification method, female and male individuals of escargots in China are sequenced, assembled and compared by adopting a PacBio platform CCS (Circle Consensus Sequencing) technology, male and female specific fragments are screened, a specific fragment SEQ ID NO: 1 is obtained according to the difference of the male and female specific fragments, and a primer is designed based on the specific fragment. The genome DNA of the field snail is extracted, the primer pair is used for amplifying in a field snail individual, and the amplification result is subjected to electrophoresis detection, so that the genetic sex can be identified. According to the invention, the problem of deficiency of the sex specific marker of the field snail is solved, and efficient and accurate non-destructive identification of the genetic sex is realized.

The invention relates to a primer of a molecular marker related to white feather traits of Shaoxing ducks and application of the primer, and belongs to the technical field of biology. A duck reference genome version of GCF015476345.1 is used, the molecular marker is located on a 5212998th basic group of a No.13 chromosome and located on an intron between a 1M exon and a No.2 exon of an MITF gene, the molecular marker has two mutations of T and C, the character is a recessive inheritable character, a T / T genotype individual phenotype is white feather, and a T / C and C / C genotype phenotype is gray feather. The molecular marker is used for screening and breeding the white-feather Shaoxing ducks, and has great economic application value and breeding value for breeding high-quality white-feather Shaoxing ducks.

The invention relates to the technical field of animal body component detection, and provides a portable animal body component analyzer, which comprises a data acquisition module, a data processing module, an analysis module, a data processing module, an analysis module and an analysis module, wherein the data acquisition module is responsible for acquiring multi-frequency bioelectrical impedance data and near infrared spectrum data of domesticated pets; the data processing module is used for carrying out noise filtering, dynamic baseline correction and normalization processing on the collected original data; the algorithm analysis module uses a variety inference and dynamic correction method to correct data errors, extracts body fat distribution, tissue metabolism and body fluid distribution characteristics through a multi-modal data fusion method, and calculates growth and development health scores through an integrated learning supervision model; the database management module stores individual information, appearance characteristics, measurement data and analysis results, and supports data query and backtracking; the user interface is used for inputting animal information and hair states and displaying analysis results, variety similarity, body composition change trends and health scores.

The invention relates to a PID (Proportion Integration Differentiation) system parameter setting method based on an enhanced whale optimization algorithm, and belongs to the technical field of PID setting. The PID system parameter setting method comprises the following steps: initializing parameters of the whale optimization algorithm, setting the maximum number of iterations, and setting the maximum number of iterations; pID system parameters including proportional gains, integral time constants and differential time constants serve as whale individuals, a plurality of initial values are randomly generated, and an initial whale population is formed; iteratively updating global optimal individuals in the initial whale population, and introducing a multi-random number transverse crossover variation mechanism into new individuals generated after updating, the new individuals representing PID system parameters after numerical value updating; and when a preset iteration stop condition is reached, outputting a new individual after updating variation, and finishing setting. According to the method, the problem that an obtained result is not a globally optimal solution due to the fact that effective exploration of a search space is limited in the prior art is effectively solved.

The invention discloses a 5-HT1B gene molecular marker related to growth of penaeus vannamei boone and application, and belongs to the technical field of molecular marker-assisted breeding of aquatic animals. The sequence of the molecular marker is shown as SEQ ID NO.3, the molecular marker comprises five sites of E3-157G / A, E3-454C / G, E3-469C / T, E3-478G / C and E3-514G / T, and the dominant genotypes are AA or AG, GG or CG, CT, CG and TT or GT in sequence. The invention further provides a haplotype molecular marker composed of the E3-157G / A and the E3-514G / T, and the haplotype molecular marker comprises the E3-157G / A and the E3-514G The penaeus vannamei feed can be used for culture and improvement of penaeus vannamei; the method is not limited by the development stage, and can provide technical means and theoretical support for early breeding of penaeus vannamei individuals / families / varieties; the method can further shorten the breeding time and reduce the breeding cost.

The invention discloses a method for efficient maturation of ovaries of industrially cultured plectropomus leopardus. The method comprises the following steps: screening healthy plectropomus leopardus individuals from a plectropomus leopardus population as parent fishes; putting the fish in an indoor culture pond for water adaptation to obtain high-quality parent fish; performing induced culture on the high-quality parent fish, wherein the induced culture comprises nutrient enrichment and temperature induction; the temperature induction time is less than or equal to 35 days to promote the ovary maturation of the parent fish. Through an indoor induction mode combining low-temperature energy storage, gradient rewarming and nutrient enrichment feed, the maturation rate of the female plectropomus leopardus ovary can be remarkably increased to 85% or above, and the maturation period is shortened to be within 40 days. The method is suitable for a standardized breeding process of an indoor parent fish breeding workshop, effectively realizes synchronous maturation and quality improvement of the parent fish group ovary, provides a stable parent guarantee for indoor artificial breeding of plectropomus leopardus, and has a good popularization and application prospect.

The invention discloses an intelligent analysis method and system for abnormal behaviors of wild animals, and the method comprises the steps: recognizing the population type of the wild animals entering a monitoring region based on a static image collection system; on the basis of the wildlife population types, wildlife populations with abnormal trails are obtained; based on a static image acquisition system, obtaining a multidirectional side view of the wildlife population with the abnormal track; based on a dynamic image acquisition system, obtaining a top view of the wildlife population with the abnormal track; based on the top view of the wildlife population with abnormal trails, identifying wildlife individuals with abnormal trails; setting a part frame for the wild animal individual with the abnormal track, and obtaining a part frame change rate based on the part frame; and obtaining the abnormal behaviors and causes of the wild animals based on the part frame change rate. The problem that precision is insufficient due to the fact that track and individual behaviors cannot be analyzed at the same time in abnormal behavior analysis is solved. According to the invention, common analysis of the two abnormal behaviors is realized, and the analysis precision is improved.

The invention discloses a comprehensive stress-resistant crab screening method which comprises the following steps: preparing a breeding system, monitoring a breeding environment, putting to-be-screened adult crabs into the breeding system for temporary breeding after the breeding environment is monitored to be qualified, and ensuring that the crabs are not subjected to external stress; and sequentially screening the ingestion recovery speed and the defense behavior after stress, and selecting high-quality crab parents for breeding. By means of a behavioral physiology method, the scientific and reasonable screening method is designed by means of the fact that the growth state, ingestion recovery after stress and defense behaviors of the crabs are closely related to individual environment adaptability, healthy crabs high in stress resistance and appetite can be simply, rapidly and efficiently obtained, and the screening method has important significance on sustainable breeding of the crabs.

The invention relates to the technical field of computer vision, in particular to a video recognition method and system for zoo animals, and the method comprises the steps: data collection, animal detection and tracking, animal feature extraction, individual recognition and decision making, system optimization and continuous learning, and data management and application. According to the video identification method and system for the zoo animals, non-intrusive and high-precision animal individual identification can be realized based on deep learning and computer vision technologies and in combination with unique biological characteristics of the animals, so that efficient, accurate and non-intrusive animal management is realized, and the video identification efficiency is improved. Therefore, powerful technical support is provided for zoo operation and scientific research.

The invention relates to a primer probe combination and a kit for detecting eDNA of Chinese sturgeons and application of the primer probe combination and the kit. Specific primers and TaqMan probes are designed for a D-loop region of Chinese sturgeon mitochondrial DNA, and efficient specific amplification and absolute quantification of Chinese sturgeon eDNA in an environmental sample are realized by optimizing a reaction system and amplification conditions. Compared with the prior art, the method is simple and convenient to operate, does not need to perform harmful sampling on Chinese sturgeon individuals, is suitable for resource monitoring and protection evaluation in a large-range and dynamic environment, and has high sensitivity, high accuracy and high practical value.

The invention relates to a primer group of a microsatellite marker HA223 related to growth of belly-expanding hippocampus and application of the primer group, and belongs to the field of molecular biology, and the sequence of the primer group is shown as SEQ ID NO.1-2. The invention also provides an application of the primer group in breeding of growth traits of hippocampus erectus, the primer group is utilized to perform PCR amplification on DNA of a hippocampus erectus individual, an individual which can amplify a specific fragment with the size of 260bp is screened as a basic parent, and a heterozygous individual or a homozygous individual with the fragment is produced and used for breeding of a rapid growth variety, so that the breeding of the growth traits of the hippocampus erectus is facilitated, and the breeding efficiency of the hippocampus erectus is improved. Compared with a conventional breeding method, the method can shorten the breeding period, accelerate the breeding process and improve the breeding efficiency.

The invention relates to the technical field of animal molecular genetics, molecular marker breeding and aquatic genetic breeding, in particular to a Koi-TAT gene related to golden and silver scale traits of fancy carp, an SNP molecular marker, a primer pair and application. According to the invention, a functional gene highly associated with the Koi gold and silver scale character is found, a specific molecular marker and a detection method are developed on the basis of the gene, and by utilizing the molecular marker and the detection method disclosed by the invention, an individual with excellent gold and silver scale character can be efficiently identified, and the molecular marker is suitable for molecular-assisted selective breeding and early-stage seed selection. The invention provides an important molecular tool for phenotype genetic improvement of aquarium fish, also provides a basis for molecular mechanism research of gold and silver scale formation, and has a wide application prospect.

The invention discloses a health monitoring and alarming system and method for animal individuals in a zoo, belongs to the field of zoo animal health monitoring, and solves the technical bottleneck through cooperation of a sensing layer, an edge computing layer and a cloud analysis layer. The system particularly sets differentiated threshold values for animals of different age groups, genders and health conditions, the dynamic baseline adjustment and multi-source data fusion algorithm is combined, the anomaly detection precision is remarkably improved, meanwhile, a grading alarm mechanism and feedback driven model optimization form a closed loop, the conversion from passive response to active early warning is achieved, and the system is suitable for the animal health monitoring and early warning of animals of different age groups, genders and health conditions. Potential health risks can be identified 12-24 hours in advance, and efficient and accurate technical support is provided for animal health management.