35370 results about "Zoology" patented technology

The invention discloses a feed regulation and control method and system for beef cattle breeding, and relates to the technical field of feed regulation and control, and the method comprises the steps: carrying out grouping management according to individual differences of beef cattle, and collecting feed component data, growth stage data and climate environment data of beef cattle breeding in each group in real time; on the basis of the feeding and defecation amount of the beef cattle, the nutrient substance digestion and metabolism capacity of the beef cattle is evaluated, a dynamic feeding model driven by multi-modal data is constructed, and a feeding mode and an optimal feed ratio are matched; the optimal feed proportion is converted into a control instruction, and equipment is driven to execute feed blending and feeding; beef cattle growth condition data are monitored in real time, and the feed ratio is optimized according to actual deviation feedback. According to the method, the cattle in different physiological states are finely distinguished, multi-dimensional data such as environmental parameters and metabolic capability evaluation are combined, a dynamic feeding model is constructed, the feed conversion efficiency and the stability of growth performance are remarkably improved, and healthy growth of the beef cattle is guaranteed through effective feeding management.

The invention belongs to the technical field of aquaculture automation control, and particularly discloses an aquaculture environment intelligent disease early warning system and a storage medium, the system comprises a data acquisition layer, a data transmission layer, a processing platform layer and an application service layer; the data acquisition layer comprises an environment monitoring unit, a water quality sensor group, portable detection equipment and a data acquisition module; the data transmission layer comprises a wireless transmission module and an edge computing node; the processing platform layer comprises a machine learning prediction model and an environment factor correlation analysis model; the application service layer comprises an early warning information push module and a prevention and control scheme generation module. According to the intelligent disease early warning system for the aquaculture environment and the storage medium, a correlation model of environmental factors and disease occurrence is innovatively established, the early warning accuracy is 85% or above by adopting a machine learning technology, comprehensive monitoring and real-time early warning in the aquaculture process can be achieved, and accurate and efficient disease prevention and control are supported.

A drone pod may receive, stow, and launch a drone. The drone pod may include a housing, a canopy movably coupled to the housing, a platform movably coupled to the housing, and a drone bay. The drone pod may be configured to move the canopy to expose the drone bay and raise the platform relative to a floor of the drone bay to receive the drone, lower the platform toward the floor of the drone bay and move the canopy to enclose the drone bay to stow the drone, move the canopy to expose the drone bay and raise the platform relative to the floor of the drone bay to launch the drone. The drone pod may be mounted on a vehicle. A system may include a drone pod and a drone, wherein the drone pod is configured to receive, stow, and launch the drone.

The invention, which belongs to the technical field of intelligent breeding equipment, discloses an underwater bionic robotic fish school cooperative breeding environment dynamic monitoring and regulation system comprising a bionic robotic fish body core module, a group cooperative control core module and an intelligent regulation core module. The bionic robotic fish module simulates a real fish swimming mode and carries various water quality sensors to autonomously cruise, so that interference to cultured fishes is reduced; the group cooperation module utilizes a cluster intelligent algorithm and an underwater acoustic communication technology to realize coordinated movement of multiple robotic fishes and full coverage of a monitoring area; the intelligent adjusting module is based on an abnormal detection algorithm, and integrates a miniature oxygenation device, a pH adjusting device and the like to achieve precise regulation and control of the local environment. By the adoption of the system, dynamic sensing and active regulation and control of the culture environment are achieved, a bionic monitoring regulation and control solution is provided for modern aquaculture through intelligent cooperation of the robot fish school and the management system, and the system has the important value of improving the culture efficiency and improving the growth environment.

The invention discloses a temperature monitoring and control system in a goat breeding house. The system comprises an environmental data sensing unit, an edge data preprocessing unit, an optimized long-short term memory neural network processing unit, an air internal and external circulation regulation and control strategy generation unit, an equipment linkage execution unit and a system operation state monitoring unit. Environmental data in a breeding house is collected in a self-adaptive mode through multiple types of high-precision sensors, after edge processing, temperature spatial-temporal characteristics are extracted deeply through an optimized long-short-term memory neural network, an air circulation regulation and control strategy is generated in combination with a multi-target optimization model, equipment is driven to execute precisely, and system dynamic optimization is achieved through closed-loop feedback. The system overcomes the defects of insufficient monitoring coverage and extensive regulation and control in the prior art, considers the coupling relationship between temperature and air components, realizes multi-factor collaborative accurate regulation and control, effectively reduces energy consumption, creates a stable and comfortable growth environment for goats, and improves the breeding benefit and intelligent management level.

The invention provides a monitoring and early warning method and system for a natural protection area of wild animals. The method comprises the following steps: firstly, collecting a multi-modal ecological monitoring data stream containing animal activity track data, a habitat environment parameter sequence and a biological voiceprint signal set; then, dynamically matching the animal activity trajectory data with a reference threat mode to generate a first ecological association network feature; and extracting migration path fragments, combining with an environment parameter change gradient, and deducing second ecological association network features through the model. And then, performing cross-modal fusion on the two features to generate a multi-level threat coupling vector, constructing a map based on the biological voiceprint, performing overlay analysis on the map and the coupling vector, and calibrating and outputting a real-time threat level pedigree through an adaptive algorithm. And finally, according to the mapping relationship between the real-time threat level pedigree and a preset strategy library, activating a corresponding ecological protection intervention instruction set, realizing multi-modal data comprehensive analysis, accurate real-time monitoring and early warning and intelligent response, and effectively protecting the ecology of the natural reserve of wild animals.

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 provides a river crab feed feeding mixed monitoring method, system and device and a medium, and belongs to the field of aquaculture intelligent monitoring. Data is collected and normalized, and a chain type data collection system is constructed; the edge computing and block chain technology is adopted to realize data distributed storage and transmission; a fuzzy neural network hybrid model is constructed, fuzzification processing, feature mining and defuzzification output are integrated, and a feeding amount prediction value is generated; associating the feed proportioning library with the knowledge graph, and iteratively training the model and generating a multi-target feeding decision parameter; feeding equipment is controlled to execute actions according to the decision parameters, and the real-time monitoring model outputs and triggers an early warning signal; and updating the knowledge graph and the feed matching library based on the feedback data to form closed-loop self-adaptive regulation and control. According to the method, various factors can be comprehensively considered, scientific and intelligent feed feeding decision is realized, feed waste and insufficient feeding are effectively avoided, and the growth quality of the river crabs is improved.

To provide an anti-theft device that makes it difficult to remove a fish finder from a mount to prevent theft.SOLUTION: An anti-theft device 2 prevents the theft of a fish finder 1 attached to a mount 7 with a mounting screw 13, and includes: a base 15 that is fixed to the mount 7 together with the fish finder 1 with the mounting screw 13; a cover 20 that can be attached to the base 15 so as to cover the mounting screw 13; and a lock 22 for locking the cover 20 so that it cannot be removed from the base 15.SELECTED DRAWING: Figure 3

The invention relates to the technical field of molecular biology and molecular markers, in particular to an SNP (Single Nucleotide Polymorphism) molecular marker located on a porcine chromosome 14 and related to porcine reproductive traits and application. The SNP site of the SNP molecular marker located on the No.14 chromosome of the pig and related to the reproductive traits of the pig corresponds to the Cgt at the 105043272th site on the No.14 chromosome of the international pig reference genome version 11.1; t mutation is carried out, and the polymorphism of the basic group at the site affects the porcine reproductive traits; wherein the reproductive performance of pigs with CC and TC genotypes is superior to that of pigs with TT genotypes. By optimizing the dominant alleles of the SNP molecular marker, the frequency of the dominant alleles can be increased generation by generation, the reproductive performance of pigs is improved, and the genetic improvement progress of the pigs is accelerated, so that the economic benefit of pig breeding is effectively improved.

The invention provides an ecological circulation barrel-in-barrel culture data acquisition method and system, and relates to the technical field of intelligent control, and the method comprises the steps: carrying out the feature extraction of a historical data flow through a multivariable coupling analysis model, carrying out the mode matching through a preset environment threshold interval and a culture environment state matrix, and obtaining a culture environment state matrix; generating a water quality health degree evaluation index and an ecological imbalance early warning signal; and analyzing the water quality health degree evaluation index and the ecological imbalance early warning signal based on a fuzzy control algorithm, dynamically calculating a final feeding amount curve and a water change intensity function, and generating a regulation and control instruction set containing the feeding frequency, the bait particle size and the water pump rotating speed. According to the invention, real-time evaluation and accurate intervention of the water quality health state can be realized.

The invention provides a multi-mode fish school ingestion intensity detection method, system and device, a medium and a product, and relates to the technical field of aquaculture, the method comprises the following steps: obtaining fish school ingestion target video data and fish school ingestion target audio data in a time period corresponding to the fish school ingestion target video data; inputting the fish school ingestion target video data and the fish school ingestion target audio data into a multi-mode ingestion intensity detection model to obtain fish school ingestion intensity information output by the multi-mode ingestion intensity detection model; wherein the multi-modal ingestion intensity detection model is obtained by training a convolutional neural network according to fish shoal ingestion sample video data and fish shoal ingestion sample audio data marked with a fish shoal ingestion behavior intensity label; the convolutional neural network comprises a Res2Net network, a RepViT network, a feature fusion residual connection module and a full connection layer. According to the invention, more accurate fish school ingestion intensity information can be obtained.

The invention relates to the technical field of fish habitat treatment, in particular to a river fish habitat restoration method based on stair dam dismantling, which comprises the following steps: acquiring stair dam parameters, hydrological data and fish habitat demand data of a target river; constructing a habitat suitability curve, a habitat suitability index and an effective habitat area model of the fish habitat before dam dismantling; designing a plurality of groups of stair dam dismantling schemes, and simulating hydrological condition changes after dam dismantling in combination with a hydrodynamic model; according to the method, habitat suitability curves, a weighted available area method and river connectivity indexes under different dam dismantling schemes are calculated, a multi-objective optimization model is established to screen an optimal scheme, ecological benefits and engineering cost are comprehensively considered, the optimal dam dismantling scheme can be scientifically selected, a dam body with the maximum contribution to improvement of the ecological benefits is preferentially dismantled, and the dam dismantling efficiency is improved. And meanwhile, part of the dam foundation is reserved to reduce the influence of sediment discharge on the downstream, so that the engineering cost is reduced to the maximum extent while the ecological restoration target is achieved.

The invention provides PDRN as well as a preparation method and application thereof, and relates to the technical field of biology. And the GC content of the PDRN is 40.5%-42%. According to the present invention, the similarity between the GC% in the gDNA in the PDRN prepared by using the recorded method and the GC% of the human body is more than 98%, the GC% is closer to the GC% of the human body than the PDRN derived from the salmon, the safety and the efficiency are high, and the PDRN preparation method is simple and convenient compared with the PDRN extracted from the salmon semen in the prior art.

The invention belongs to the technical field of video processing, and particularly relates to a monitoring video enhancement method for a farm, which aims to solve the technical problem of low quality of an enhanced video in the prior art, and comprises the following steps: S1, processing each frame of image in a monitoring video sequence frame by frame; s2, distinguishing a target animal area from a background area, and identifying and generating an artifact mask; s3, aiming at the background area, carrying out key smoothing processing on the artifact position to inhibit the artifact; s4, for the image of the target animal area, performing adaptive nonlinear enhancement on the brightness component, and performing color correction on the chrominance component; s5, performing pixel-level fusion on the enhanced target animal area and the background area; and S6, spreading the information of the previous frame to the current frame by using the forward optical flow field, and carrying out weighted fusion on the information of the previous frame and the current frame. According to the method, the target bred animals, the background areas and the artifacts are accurately distinguished, so that refined and differentiated processing of pictures is realized.

A grooming tool for use on an animal includes a base arrangement sized for grasping by a human hand. A first section of grooming members is secured to the base arrangement and includes flexible members. A second section of grooming members is spaced from the first section and includes flexible members. A third section of rigid grooming members are positioned between the first section and second section of grooming members. The tool can include a grip assembly having a pivotable grip member.

The present application relates to the field of biotechnology. Provided are a PDRN, and a preparation method therefor and the use thereof. The PDRN has a GC content of 39%-42%. In the PDRN prepared by means of the method recited in the present application, the GC% in the gDNA thereof has a similarity of 98% or more to the GC% of human and is closer to the GC% in a human body than that of a salmon-derived PDRN. The PDRN of the present application has higher safety and efficacy, and compared with the extracting of PDRN from salmon semen in the prior art, the method for preparing the PDRN disclosed in the present application is simpler and more convenient.

A walker for an animal that includes five expandable shaft members, each of the five expandable shaft members include an inner solid shaft and an outer hollow slider. The five expandable shaft members includes two horizontally configured shaft members and three vertically configured shaft members. A solid support shaft is coupled to the two horizontally configured shaft members. The two horizontally configured shaft members and the solid support shaft form a body frame. Further, the walker includes body support members for the animal to rest thereon, at least one rear wheel coupled to a motor, and two front wheels. The three vertically configured shaft members are coupled to the at least one rear wheel and the two front wheels, respectively.

The invention relates to the technical field of fishing boat monitoring, in particular to an AI camera-based fishing information acquisition system for a lamplight cover net fishing boat, which comprises a reflective point extraction module, a track fitting module, a shielding classification module, an edge redrawing module and a density analysis module. The method comprises the following steps: extracting reflective points on the surface of an underwater fish body, screening a high-brightness area, constructing a gloss response point set, analyzing a motion track of a reflective point group in combination with a multi-frame image sequence, fitting path features by adopting a random sampling consistency algorithm, and identifying a track continuity state and a motion mode change. And performing shielding state classification on the path features based on a support vector machine model, judging extension shielding, cross shielding or boundary separation types, performing direction vector alignment and path matching redrawing on the edge contours of the reflective points according to a classification result, and recovering contour missing caused by shielding. And multi-granularity data support is provided for fish catch statistics by analyzing a brightness change track of a fin ray region in a redrawn edge path.

A lure for fishing according to one embodiment of the present invention comprises a main body portion having a cavity therein; a weight provided in the cavity of the main body portion and movable in the cavity; and a hollow cover member provided in the cavity of the main body portion, covering the weight from an outer side, and capable of guiding the weight to an inner side, in which the cavity is partially or entirely visually recognizable from an outside, and one or a plurality of reflecting surfaces or reflectors capable of performing specular reflection of light from the outside is provided on an outer surface of the hollow cover member.

The invention relates to the technical field of environment control, in particular to an intelligent environment control system and method for silkworm feeding. The method comprises the following steps of performing real-time monitoring on a silkworm feeding community, and performing classification treatment on the growth stages of silkworms to obtain data of the growth stages of the silkworms; environment demand difference analysis among different silkworms is carried out on the growth stage data of the silkworms, and aggregation behavior environment interaction effect evaluation among different silkworm growth stages is carried out to obtain aggregation behavior environment interaction effect data; according to the gathering behavior environment interaction effect data, environment global balance intelligent control optimization of silkworm feeding is carried out, and environment intelligent control optimization data is obtained; and according to the environment intelligent control optimization data, carrying out automatic silkworm feeding environment control management strategy design so as to execute silkworm feeding intelligent environment control. According to the invention, the intelligent environment control technology is optimized, so that the intelligent environment control technology is more perfect.

A fishing line guide mountable to a fishing rod body to guide a fishing line, the fishing line guide includes a foam portion made of foamed resin, and a reinforced resin portion made of fiber-reinforced resin and covering a part of the foam portion.

The invention relates to an artificial hybridization fry breeding method for epinephelus fuscoguttatus and pink pink bass, which belongs to the technical field of distant hybridization breeding and comprises the steps of parent selection of epinephelus fuscoguttatus and pink pink bass, parent breeding, parent intensive breeding, gamete collection, artificial insemination, hatching of fertilized eggs and fry breeding. By means of reproductive regulation and distant hybridization technologies, two species belonging to two genera under the grouper family with different geographical distribution and different breeding time are hybridized, namely cross-generic hybridization under the grouper family is achieved, intergeneric reproductive isolation is broken through, and the breeding efficiency is improved. Therefore, new hybridized germplasm with excellent characteristics of high fertilization rate, high hatching rate, high survival rate, high growth speed and the like is cultivated.

The invention relates to the technical field of spectrum water quality detection, in particular to a livestock breeding water quality detection method which comprises the following steps: acquiring absorption spectrum data of a livestock breeding water body, and acquiring a short-time fluctuation difference value of livestock breeding water at each measurement moment on each wave band absorption spectrum; the method comprises the following steps: based on the deviation between short-time fluctuation difference values of livestock breeding water in each wave band and other wave bands, acquiring short-time interference characteristic values of the livestock breeding water in absorption spectra in each wave band at each measurement moment, and combining spectral data differences of each measurement moment and a plurality of previous measurement moments in the same wave band; determining a water quality change coefficient of the absorption spectrum of each wave band; and according to the water quality change coefficient in combination with the short-time interference characteristic value, obtaining a water quality pollution evaluation value of the livestock breeding water at each measurement moment so as to judge the water quality condition of the livestock breeding water. The detection accuracy of the water quality of the livestock breeding water can be improved.

A fishing lure includes a head part, a body part, a tail part and a flexible metal bill, wherein the head part is connected with the body part via at least two jointed connections; there are first metal spots provided on back-end of the head part and a horizontal opening on front end thereof; the body part is provided with second metal plates that the second metal plates smash the first metal spots when moving. The flexible metal bill that one end is provided on the horizontal opening, and another end extends away. By means of a segmented structure between the body part and the head part, it improves the fishing lure's swing range and makes it move more flexibly. The first metal spots and second metal plates smash to produce chattering noise to stimulate the predator's sensory perceptual system when moving.

The invention discloses a net cage fish school number estimation method based on fish school density, and the method comprises the steps: obtaining a sonar image corresponding to the rotation scanning of a target net cage by a sonar through a step S1 and a step S2, and extracting the fish school number corresponding to each sonar image based on image recognition; a linear correlation curve # imgabs2 # of the effective area # imgabs0 # and the sampling depth # imgabs1 # of the netting in water and a nonlinear correlation curve # imgabs5 # of the fish school density # imgabs3 # and the sampling depth # imgabs4 # are obtained through the step S3, finally, integration is conducted on the two curves according to intervals through the step S4, the fish school number of each interval is calculated in a layered mode, and the estimated value # imgabs6 # of the net cage fish school number in the target net cage is obtained through accumulation. The method fully considers the non-uniformity of the fish school density and the net cage netting area along with the depth change, can improve the measurement accuracy of the net cage fish school number, and has the advantages of high accuracy and efficient, rapid and convenient implementation.

The invention discloses an SNP molecular marker related to the conception rate of young cows, a detection product and application of the SNP molecular marker, and belongs to the technical field of dairy cow breeding markers. The SNP molecular marker is chr6: g. 103355581Cgt, and the SNP molecular marker is a molecular marker. The method comprises the following steps of: taking a bovine reference genome version UMD3.1 as a standard for a coordinate position, numbering Assessment in NCBI (National Center of Biotechnology Information) as GCF000003055.6, and numbering a chromosome as AC 000163.1; the young cows are cows which are 12-24 months old and do not lay calves. By detecting the genotype of the SNP site, the conception rate condition can be effectively judged, parent individuals with the higher young cow conception rate can be screened, early selection of genotype individuals with the high young cow conception rate is achieved, the frequency of the genotype with the high young cow conception rate in a dairy cow group is increased, and the reproduction rate of the dairy cow group is increased; the service life of cows is prolonged, the treatment cost is saved, the breeding cost is reduced, and the pasture income is increased.

The invention discloses a silkworm disease prediction method and system based on a silkworm breeding environment, and relates to the technical field of prediction methods, the silkworm breeding environment of silkworms is determined based on environment detection of a silkworm environment area, an abnormal area of a silkworm breeding room is determined according to the silkworm breeding environment of the silkworms and a silkworm activity track, and an abnormal image of the silkworms is marked. Accurate detection of the abnormal area of the silkworm breeding room is ensured, and the accuracy of the abnormal image of the silkworm is ensured. Therefore, according to the abnormal images of the silkworms, the skin abnormal features and the posture abnormal features of the silkworms are determined, and the excrement forms of the silkworms are determined through detection along the movement tracks of the silkworms; the silkworm disease type of the silkworms is predicted based on the skin abnormal features and posture abnormal features of the silkworms and the excrement forms of the silkworms, the environment regulation and control logic of the silkworm breeding room is triggered according to the silkworm disease type of the silkworms and the silkworm breeding environment of the silkworms, accurate prediction of the silkworm disease type of the silkworms is achieved, and the silkworm breeding environment of the silkworms in the silkworm breeding room is optimized in time.

The invention provides a livestock body size measuring point extraction method and system, and belongs to the field of computer vision, and the method comprises the steps: obtaining single-side point cloud data of a plurality of cattle, marking the body size key region of the single-side point cloud of each cattle, and obtaining a labeled point cloud data set; the method comprises the following steps: improving existing PointNet + +, introducing deep separable convolution and residual connection operation, adding a parallelized patch attention sensing module and the like to obtain improved PointNet + +, training the improved PointNet + + through a labeled point cloud data set to obtain a cattle body size key area identification and positioning model CatttlePartNet, and identifying and positioning the cattle body size key area according to the training result of the improved PointNet + + and the training result of the improved PointNet + + and the training result of the improved PointNet + + and the training result of the improved PointNet + +. And inputting the unilateral point cloud data of the to-be-measured cattle into the cattle body size key area identification and positioning model CattlePartNet, identifying different body size key areas of the cattle, and performing calculation according to the point set of the body size key areas to obtain body size parameters. According to the method, the key area and the measuring point of the cattle body can be accurately identified, so that accurate body size parameters are obtained, and the measuring precision and stability are improved.

The invention discloses a waterfowl habitat ecological data analysis method and system, a medium and electronic equipment. The waterfowl habitat ecological data analysis method comprises the steps that S1, ecological data of a waterfowl habitat is acquired and preprocessed; s2, constructing a waterfowl habitat ecological model based on the preprocessed data; s3, judging whether the ecological condition of the habitat meets a preset suitability standard or not according to an output result of the ecological model; the system comprises a multi-source data acquisition module based on a system architecture, an intelligent preprocessing module, an ecological model construction module, a habitat suitability evaluation module and a visualization and report module. Compared with the prior art, the method has the advantages of comprehensiveness (2) accuracy; and practicability.