138 results about "Zooid" patented technology

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 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 phenotype measurement in aquatic genetic breeding, in particular to a macrobrachium rosenbergii small-size shrimp high-throughput phenotype measurement method and measurement system. According to the method, a camera obscura environment is constructed through a white shooting bottom plate, a dark extinction inner wall and an LED area array light source in a measuring box body, and illumination is adaptively adjusted by combining rough segmentation of a preview and analysis of a local gray histogram, so that stable bimodal gray distribution is formed between a shrimp body and a background. On the basis, a segmentation-key point combined deep learning model is adopted, a shrimp body mask and a standard key point are output at the same time, topological consistency loss constraints of a framework side length proportion and an included angle are introduced in training, and key point mismarking and drifting caused by the transparent body color are remarkably reduced. According to the method, rapid, non-contact, high-precision and high-throughput measurement of macrobrachium rosenbergii small-specification individual phenotype parameters and weight is realized, and a high-quality structured phenotype database is provided for genetic evaluation and multi-character combined selection.

To provide a water tank and a culture method capable of improving a survival rate when culturing aquatic organisms having relatively strong territorial consciousness.SOLUTION: A water tank 20 for culturing a plurality of aquatic organisms in water includes a storage part 30 in which an internal space R capable of storing water is provided, a partition part 40 which partitions the internal space R into at least two or more sections, and a control part 50 which controls the partition part 40 to: The passage part 50 is configured to allow an individual organism having a predetermined size among the plurality of aquatic organisms to pass from one section to another section adjacent to each other among the plurality of sections and not to allow an individual organism larger than the individual organism having the predetermined size to pass, and the lid part 60 (switching part) is configured to switch between the passage allowing state in which the individual organism having the predetermined size is allowed to pass through the passage part 50 and the passage restricting state in which the individual organism is restricted from passing through the passage part 50.SELECTED DRAWING: Figure 3

Developed and provided is a method for creating an area-restricted search type arthropod which belongs to the class Insecta or Arachnida and has high selection efficiency.　An area-restricted search type arthropod having high selection efficiency is created by measuring the expression level of a cGMP-dependent protein kinase gene in each test individual in a homogeneous individual group and selecting a test individual of which the expression level is significantly higher than that of a wild-type control individual.

This invention discloses a multi-unit composite stress tiered breeding device and method for juvenile large yellow croaker, belonging to the field of aquaculture breeding technology. The device uses a central control unit as its sole core, forming a fully integrated unidirectional closed-loop drive system. Four independent breeding units are connected through a transparent channel with a centrally located aeration head, forming a physical flow-limiting isolation structure. Each unit independently regulates water temperature, salinity, and dissolved oxygen, creating a multi-factor composite stress gradient. The breeding method employs a three-factor linear equal-gradient synergistic progressive setting, utilizing the juvenile fish's autonomous adaptation and avoidance instincts to achieve cross-unit migration and natural selection. Combined with contour recognition and dynamic tracking algorithms, it monitors the fish population status and mortality rate in real time, and identifies superior offspring with comprehensive stress resistance through secondary verification under extreme stress. This invention offers high screening accuracy and automation, increasing the survival rate of superior individuals by over 40%, reducing labor costs by over 60%, and allowing for flexible adjustment of device parameters. It can be extended to the stress resistance breeding of other marine economic fish species.

The invention relates to the technical field of Daroul yellow rat training, and discloses a Daroul yellow rat water bottle drinking training method suitable for group rearing, comprising the following steps: S1, training pre-adaptation stage: configuring group adaptive drinking utensils and reasonably arranging the drinking utensils; s2, a group demonstration guiding stage: selecting high-response individuals in the group for preferential guiding to form demonstration; s3, in an autonomous cooperative training stage, each individual in the group is guided to autonomously complete a coherent water drinking action; s4, a group stability strengthening stage, wherein the autonomous drinking water environment is kept continuous and stable; s5, in a group feeding special optimization stage, behavior conflicts in group feeding are monitored; the invention aims to provide a Daroul yellow rat water bottle water drinking training method suitable for group feeding so as to solve the problems that water supply is unstable and is greatly influenced by vegetable freshness; intestinal flora disorder is easily caused, and the feeding death rate is increased; the water intake cannot be accurately controlled, and the accuracy of experimental data is influenced.

The invention discloses a molecular sequence and a primer for sex identification of grassland caterpillars and application of the molecular sequence and the primer. The nucleotide sequences of the molecular marker are as shown in SEQ ID NO: 1 and SEQ ID NO: 2; wherein a nucleotide sequence as shown in SEQ ID NO: 1 is female, and a nucleotide sequence as shown in SEQ ID NO: 2 is male. The invention also provides a primer group for amplifying the molecular fragment, and the nucleotide sequences of the primer group are shown as SEQ ID NO: 3 and SEQ ID NO: 4. Wherein the size of a strip capable of being amplified by a female individual is 484 bp, and the size of a strip capable of being amplified by a male individual is 199 bp. According to the molecular marker and the primer group provided by the invention, sex identification can be carried out on grassland caterpillars, larvae, incomplete pupae and cocoons with unknown sex, the accuracy is high, the speed is high, and a reliable method is provided for monitoring the field sex ratio of the grassland caterpillars.

The invention relates to the technical field of intelligent automatic grading, in particular to an automatic grading fishing method and system for perches based on living body dynamic perception. The method comprises the following steps: acquiring multi-source perch state sensing data, and based on the multi-source perch state sensing data, performing cross-modal fusion analysis of living body behaviors and physiological appearances according to preset body shape reference parameters to obtain a body shape-stress fusion evaluation information set; based on this, analyzing the matching relationship between the perch body type state, the stress state and the grading fishing target pool, and generating a perch differentiation grading guide strategy set; on the basis, dynamic flow direction regulation and control are carried out through a bubble curtain, the stress perch individuals are drained to the redundant pool, after the stress states of the stress perch individuals are relieved through anti-stress treatment in the redundant pool, secondary flow guide distribution is carried out on the stress perch individuals according to body type evaluation, and a perch automatic grading catching log is output. And the automation level and the sorting accuracy of aquaculture grading fishing are improved.

The application relates to a device and method for three-dimensional high-efficiency breeding of black-spotted side-blotched frogs, and belongs to the technical field of three-dimensional breeding of black-spotted side-blotched frogs. A buckle on an upper net cage is embedded into a clamping groove of a bottom disc, so that the upper net cage and the bottom disc are combined into a net cage; the net cage is placed on a bottom tray; a first electric motor is started; a first chain is pulled; the bottom tray is driven to move upwards to a suitable height; at this time, the motor under the track of the bottom tray works to drive the track to make the net cage move towards a frame layer; the motors under the tracks of corresponding first track conveying devices, second track conveying devices and third track conveying devices work respectively, so that the net cage can be pulled into the respective frame layers. The application can increase the survival rate of the black-spotted side-blotched frogs, reduce the incidence, increase the proportion of excellent individuals, reduce the labor cost, realize multi-season and larger volume breeding, and greatly increase the income of the breeders.

The present application relates to the technical field of animal health monitoring, and relates to a wild animal non-invasive genome monitoring and population health evaluation system. A time indication marker is generated based on the ratio of a predetermined indicator bacteria genus, and microenvironment data is input into a pre-trained microbial succession model to intelligently infer the actual exposure time of the sample in the wild. Then, the initial intestinal flora map of the sample at the instant of discharge is reconstructed. The high-fidelity flora map after reconstruction is further deeply coupled with health evaluation to realize scientific diagnosis and early warning of the physiological state of wild animal individuals. The accuracy of health evaluation, nutritional status analysis and pathogen detection is greatly improved, and major misjudgments such as misjudging environmental bacteria as pathogenic bacteria or misdiagnosing flora natural decay as ecological imbalance are avoided. A stable and reliable technical tool is provided for wild animal protection management.

The invention belongs to the technical field of breeding of aquatic animals, and particularly relates to a breeding method for breeding XX pseudo male fishes by using Chrysophila multistriata. The invention relates to a breeding method for breeding XX pseudo-male fishes by using Christia polyrrhiza, which comprises the following steps of: feeding a feed containing an aromatase inhibitor to Christia polyrrhiza fry with proper day age for induction to obtain pseudo-male fishes with physiological male property and genetic female property; the method comprises the following steps: performing PIT living body electronic marking, then collecting a tail fin tissue sample, performing PCR detection by utilizing a genetic sex specific molecular marker of the Chrysophila polyrrhiza, and screening out pseudo male individuals with female genetic sex and male physiological sex; the obtained pseudo male fish individuals serve as male parents, normal genetic female fishes serve as female parents, intensive cultivation and artificial spawning induction are conducted, and fertilized eggs are obtained; the obtained fertilized eggs are collected and hatched, and pseudo male fishes with all genotypes being XX are obtained. According to the method, the genetic all-female rate of the breeding offspring reaches 100%, and the production purity of the offspring seeds is greatly improved.

The invention relates to the technical field of environment monitoring, in particular to an internet-of-things-based breeding environment monitoring system for pond turtles, and the system comprises a turtle movement trajectory tracking module which is used for collecting real-time images of an incubator, comparing pixel differences among continuous image frames to carry out background subtraction, and recognizing a moving foreground target. According to the method, the pixel differences between image frames are continuously compared, the geometric center point of the moving target is calculated, continuous recording of the moving tracks of the water tortoise individuals in the cultivation box is achieved, the moving area is gridded, the occurrence probability is calculated by counting the frequency that coordinates fall into all units, an objective data basis is provided for environment optimization, and the method is suitable for large-scale popularization and application. Meanwhile, multiple groups of temperature sensors are arranged at key positions such as a spawning area and a drying platform, multiple paths of environment sensing redundant numerical values are obtained, the state range is predicted according to a water body thermal inertia model, multiple paths of readings are updated and calibrated, deviation data are effectively recognized and eliminated, and the reliability of environment monitoring data and the fault tolerance of the system are improved.

The application relates to the field of aquatic disease prevention and control, and discloses a Chinese soft-shelled turtle skin rot disease prevention and control method and system. The method is characterized in that a high-definition underwater camera array and a near-infrared spectrum sensing unit are deployed to collect real-time turtle body surface texture images and reflected spectrum data, and identity recognition and behavior parameter extraction are combined to input a double-flow time sequence neural network model for risk probability evaluation. When the risk value of three consecutive periods exceeds a threshold value, a slide rail type isolation hatch is automatically triggered to guide high-risk individuals to be isolated without contact, and a water quality regulation mechanism is linked to block the spread of pathogens. Through multi-modal perception, individualized tracking and intelligent decision-making closed loop, the application realizes super-early warning and precise intervention of skin rot disease, reduces the incidence rate and stress damage, improves the breeding efficiency and animal welfare, and has strong adaptability and engineering popularization value.

The invention provides an intelligent behavior identification and analysis method and system. The method comprises the following steps: segmenting preprocessed video stream data by using a semantic segmentation technology to obtain animal monomers, and respectively extracting spatial-temporal characteristics and overall dynamic characteristics of an animal group; inputting the spatio-temporal characteristics and the breeding environment semantic information into a monomer behavior semantic recognition model to obtain monomer behavior semantic characteristics, performing spatio-temporal correlation analysis on each monomer behavior semantic characteristic to calculate behavior interaction strength among different animal monomers, and constructing a group behavior correlation matrix according to each behavior interaction strength; and inputting the overall dynamic characteristics and the group behavior association matrix into a group behavior semantic recognition model to obtain a group behavior classification result, and generating prompt information. According to the method, key associated information such as group stress and ingestion competition can be effectively captured, and accurate identification and analysis of individual behaviors in a group behavior scene are realized.

This invention discloses a specific DNA fragment, primers, and applications for sex identification of the longfin sclerotium. PCR amplification and agarose gel electrophoresis were performed using PCR primers. The results showed that individuals with a specific 271bp band were male, while those without a band were female. This invention discloses a molecular marker, primers, and identification method for sexing the longfin sclerotium. Sexing can be determined by taking fin rays without killing the fish; it can also identify the sex of juvenile fish whose sex cannot be determined by appearance. It has advantages such as accuracy, simplicity, speed, and minimal harm to the fish, providing important assistance for the conservation of wild longfin sclerotium resources and the development of the aquaculture industry.

The present application relates to a kind of Scylla paramamosain gender-specific genomic sequences and genetic gender identification method, the gender-specific genomic sequence is as SEQ NO.1 and as SEQ NO.2 shown in sequence;Wherein, genetic gender is female individual genome simultaneously containing SEQ NO.1 and SEQ NO.2 sequence, genetic gender is male individual genome only containing SEQ NO.2 sequence.Simultaneously, the present application also uses the gender-specific sequence to develop the genetic gender identification method based on PCR technology.The present application can be used for the identification of Scylla paramamosain gender-specific large fragment and genetic gender rapid detection, with the advantages of strong specificity, high accuracy, simple operation, low cost etc., can be used for crab sex control breeding industry and gender determination and differentiation mechanism research etc., with wide application prospect.

The application discloses a method for rapidly screening breeding parents of Babylonia areolata based on shell color phenotype, and the specific steps are as follows: collecting adult Babylonia areolata; dividing the adult Babylonia areolata into a dark color group and a light color group according to shell color, wherein the dark color group is red brown to dark red brown individuals, and the light color group is white to yellow brown individuals; using differential morphological indexes for the Babylonia areolata in different shell color groups to accurately screen Babylonia areolata breeding parents: for the dark color group, shell width is greater than or equal to 58 mm, body spiral layer width is greater than or equal to 45 mm, and shell mouth height is greater than or equal to 65 mm; and for the light color group, body spiral layer width is greater than or equal to 45 mm, shell mouth height is greater than or equal to 65 mm, shell height is greater than or equal to 91 mm, and shell width is greater than or equal to 55 mm. The parent with high body quality and high meat yield potential can be screened in vivo, and through comparison of offspring cultivation of the screening group and the control group, it is proved that the screening method can significantly improve the genetic gain (17.9-21.1%) of the target traits, and has good breeding application value.

The invention relates to the field of molecular biology, and further relates to a specific marker, a primer pair, a detection method, a kit and application of macal2 gene insertion variation of oplegnathus fasciatus. The specific marker is a DNA (Deoxyribose Nucleic Acid) fragment in which the specific marker is not inserted and inserted in the intron region of the macal2 gene of the striped sea bream, and the nucleotide sequences of the DNA fragment are as shown in SEQ ID NO: 1 and SEQ ID NO: 2. According to the invention, through a pair of specific primers, a 118bp band and a 391bp band are amplified in an individual with DNA insertion variation, and only the 118bp band is amplified in an individual without insertion variation. According to the detection method, the identification time is remarkably shortened, the detection efficiency is improved, and the method has important application value in sex identification, high-male fry preparation and family breeding of oplegnathus fasciatus.

The present invention relates to the technical field of farming aquatic animals, such as bivalve mollusks, for example, oysters or scallops. In particular, the present invention provides a device, system and method for farming mollusks. This invention improves production efficiency in the farming of mollusks, mainly bivalve mollusks, by handling the movement of said mollusks and defining a specific area for each individual. This entails an improvement in individual survival, improving farming density and reducing loss caused by death.

The invention discloses a cobitidae fish migration channel simulating natural hydraulic conditions and a design method, and relates to the technical field of fish migration channels, the cobitidae fish migration channel simulating the natural hydraulic conditions comprises a river bank, a water channel is arranged on the river bank, and a dam is transversely arranged in the middle of the water channel. A traditional fishway is mainly designed for economic fishes with high swimming capacity, and a substantive ecological barrier is formed for benthic species with weak swimming capacity such as cobidae fishes. According to the invention, through intelligent linkage of the liftable rockfill dam and the self-adaptive inclined plate, a continuous adjustable hydraulic condition from an almost barrier-free gentle slope to a controllable challenging step is created. Especially in a dry season / juvenile fish period mode, the fishway is converted into a continuous smooth slope, so that juvenile fishes and weak individuals can easily move upwards in a creeping mode close to a natural state, and the migration blocking problem is fundamentally solved.

This invention discloses a real-time detection and identification method and related apparatus for wild animals based on YOLOv11, comprising: collecting wild animal monitoring data; preprocessing the wild animal monitoring data to obtain preprocessed wild animal monitoring data; inputting the preprocessed wild animal monitoring data into a trained multi-scale feature extraction network to obtain fused features, target bounding boxes, and species category information, wherein the multi-scale feature extraction network includes a YOLOv11 native backbone network, a PAN-FPN Neck network, and a multi-scale-individual feature fusion algorithm module connected in sequence; preliminarily determining single-target behavior based on the fused features, target bounding boxes, and species category information, and constructing a scene-level spatiotemporal group behavior map based on the determination results; and identifying wild animal behavior based on the scene-level spatiotemporal group behavior map. This method and related apparatus can perform timely and effective real-time detection and identification of wild animals.

This invention belongs to the field of bio-aquaculture technology, specifically relating to SNP loci related to the body color of the leopard-gill spiny perch and their applications. This invention provides SNP loci (16_797851, 13_24322516, and 9_17302939) associated with the body color of the leopard-gill spiny perch. Furthermore, this invention provides a method for mining SNP loci and a method for enhancing the red color of the leopard-gill spiny perch's skin. By employing the HSV color model, the red body color is transformed from a direct sensory representation into a continuous quantitative variable, providing a data foundation for the genetic analysis of body color traits. Based on genome-wide molecular marker screening, genetic markers significantly associated with body color traits are obtained. Combined with the administration of agonists to individuals with genetic advantages, a significant enhancement of the red color of the leopard-gill spiny perch's body surface can be achieved. Therefore, the technical solution of this invention can not only directionally improve the body color trait of the leopard-gill spiny perch and cultivate high-quality new strains with stable body color inheritance, but also promote the development of marine aquaculture and the seed industry.

This application relates to the field of computer vision technology, and in particular to a method for wildlife identification and tracing using infrared image enhancement and multi-scale fusion. The method includes: acquiring raw images from an infrared camera and enhancing the raw images using Retinex and contrast-limited adaptive histogram equalization; performing animal target detection, feature extraction, and feature fusion by optimizing the YOLOv8 model and using a multi-modal fusion Transformer to obtain multi-scale fused features; identifying species categories using a pre-defined primary species classification model and extracting and matching individual biometric features of key species using a pre-defined secondary individual identification model to generate individual identifiers for corresponding animals; and automatically associating the species identification results, individual identifiers, and multi-source forestry data to generate an intelligent decision-making report for wildlife population analysis and conservation management. This application contributes to achieving high-precision, automated wildlife identification and tracing.

The application discloses a method for constructing a fast-growing specialized line of Litopenaeus vannamei. The method comprises the following steps: collecting and cultivating a fast-growing population, screening the fast-growing population, screening individuals in the fast-growing population for three rounds, cultivating zero-generation parents and breeding F1 generation, cultivating the F1 generation and breeding F2 generation, cultivating the F2 generation and breeding F3 generation, and dynamically maintaining the fast-growing specialized line. The shrimp line cultivation method of the application does not need to construct a family line, and has the characteristics of simplicity, high efficiency and low cost, thereby laying a technical foundation for large-scale and extensive breeding of the fast-growing trait of Litopenaeus vannamei.

This invention belongs to the technical field of water quality monitoring, and specifically relates to a method, apparatus, equipment, medium, and system for determining water quality early warning levels. The invention provides a method for determining water quality early warning levels, comprising: acquiring real-time images of a fish population in a target aquarium, wherein the target aquarium is connected to a target water area, and water from the target water area circulates in the target aquarium before entering the target water area; determining individual behavioral characteristics and school behavior characteristics of each fish within a preset time period based on the real-time images; determining the current state of the fish population in the target aquarium based on the individual and school behavior characteristics; and assigning a water quality early warning level to the target water area based on the current state. This method achieves multi-target tracking and quantitative analysis of behavioral characteristics, improving the timeliness and accuracy of monitoring, and providing technical support for rapid response to water pollution incidents.

This invention discloses a molecular marker associated with the weight trait of *Eriocheir sinensis* and its application, relating to the field of biotechnology. The nucleotide sequence of this molecular marker is shown in SEQ ID NO.3; a SNP site, a G / A mutation, exists at base position 141 of the marker. This invention uses genome-wide association analysis to resolve the SNP site associated with the weight trait of *Eriocheir sinensis*, screening for a candidate SNP site significantly associated with this trait, namely Chr16_16673106G>A. The results show that the GA genotype is the preferred genotype in Chr16_16673106G>A. Individuals possessing this genotype exhibit more prominent superior weight traits. Therefore, the aforementioned SNP site can be used for early selection of *Eriocheir sinensis* with superior growth traits with high accuracy. The molecular marker provided by this invention has promising applications in marker-assisted breeding of *Eriocheir sinensis* weight.

The invention provides an SNP (Single Nucleotide Polymorphism) molecular marker combination for constructing an SNP fingerprint spectrum of trachinotus fish and application, and belongs to the technical field of molecular biology. The physical position of the SNP molecular marker combination is determined based on sequence alignment of a trachinotus ovatus reference genome GCA900607315.1, and the SNP molecular marker combination comprises 150 SNP loci located on chromosomes Chr01-Chr24. The SNP molecular marker combination provided by the invention can be used for constructing the SNP fingerprint spectrum of the trachinotus ovatus and quickly identifying the variety of the trachinotus ovatus. According to the method, brand new identity information exclusive to different trachinotus fish varieties is provided, individual authenticity can be effectively distinguished, individual sources can be traced, and the method has good application prospects in the aspects of trachinotus fish germplasm resource classification and identification, molecular assisted breeding and the like.

The utility model relates to animal medical equipment technical field provides a kind of anti-grabbing animal blood collection frame, comprising: animal corral, blood collection frame door, support plane and multiple movable arm fixing frame;The animal corral is left with opening;The animal corral is respectively welded with door clamping channel steel in opening two sides, the first stainless steel plate is welded in the opening lower of the animal corral;The blood collection frame door is movably arranged in door clamping channel steel;The support plane is fixedly connected on the first stainless steel plate;Multiple movable arm fixing frame is movably arranged on the support plane.The utility model can effectively improve blood sampling safety, reduce the stress response of giant panda, can improve the convenience and efficiency of blood sampling operation, and adapt to different panda individuals, with the characteristics of stable structure, strong durability.