26 results about "Fish stock" patented technology

The invention discloses an environment RNA (Ribonucleic Acid)-based double-saw eye spot fish detection method and a primer combination thereof, and solves the technical problems of lack of molecular markers, insufficient detection specificity and difficulty in reflecting physiological status in application of an existing environment RNA detection technology to benthic fishes. The primer pair aiming at the Ptger4b gene is designed on the basis of an environment RNA (eRNA) technology, and rapid and sensitive detection of the gemphus ocellatus in an independent feeding system is realized in combination with a fluorescent quantitative PCR (qPCR) technology. The method is easy and convenient to operate, high in sensitivity, small in interference to the ecological environment and suitable for detection and quantitative verification of target species in an independent feeding system, and has the potential of being expanded to natural sea areas in the future and used for fish population monitoring, fishery resource evaluation and species protection.

The invention discloses a fish habitat real-time monitoring system based on Internet of Things. Comprising a data acquisition module used for acquiring fish habitat data, a communication networking module used for transmitting the acquired data, an analysis early warning module used for analyzing the data, a comprehensive management module used for assisting device operation and a propaganda education module used for propagandizing habitat education. Water quality parameters, hydrological parameters, fish activity data and human activity data of a fish habitat are collected, analysis data are generated in an analysis and early warning module, an ecological health index of the fish habitat is calculated, an early warning signal is generated, ecological risks of a fish living environment are predicted, and an ecological health index thermodynamic diagram is generated in a comprehensive management module. And real-time monitoring is completed under cooperation of multiple modules. The fish ecological resource environment is subjected to multi-source collection and analysis through the multi-source sensing technology, the correlation between fish habitat data and fish population distribution is deeply excavated, information of the habitat is accurately grasped, the monitoring accuracy is high, and the risk pre-judgment capability is high.

The invention belongs to the technical field of ecological restoration, and provides a mountainous river-oriented fish diversified habitat natural shaping restoration method, which comprises the following steps of: determining fishes with a relative important index greater than 5% in a river as target fishes; the habitat factors of the river are screened, the habitat factors with colinearity are divided into a factor group, and only one habitat factor is reserved in each factor group to serve as a representative habitat factor; carrying out modeling on the resource distribution and representative habitat factors of the target fishes by adopting a generalized additive model; screening to obtain a generalized additive model with a minimum akaike information criterion, and determining an optimal habitat factor combination; and determining a restoration scheme according to the habitat factor combination, and adjusting the habitat of the target fish. According to the restoration method, the natural process is simulated to remodel the diversity of the mountain river habitat, the key problems of hydrological connectivity fracture, habitat simplification, engineering and ecological contradiction and the like are solved, and fish population restoration and ecological system self-maintenance are achieved.

Systems and methods are disclosed for transferring or transporting fish, such as for fish loading, as well as measurement and control. A fish transfer system as disclosed protects the welfare of the fish population. The system may also maintain and stabilize fish transfer rate within a target rate. A fish transfer system as disclosed allows for dynamic adjustment of the transfer rate as required by the end application without negatively impacting the fish pump performance or the fish population welfare. Measurement and control of biomass density and other properties may be achieved based on data obtained from one or more cameras mounted on a fish loading device, such as a smart funnel, as well as other cameras above the water. A system may be configured to operate in a plurality of operating modes, and may be dynamically adjusted and adapted to the application in which it is being used.

The embodiment of the invention discloses a fish population dynamic monitoring method and system based on a reaction diffusion model, and the method comprises the steps: obtaining a fish school echo signal, collected by underwater sonar equipment in real time, of a target water area, and generating three-dimensional point cloud data representing the spatial density distribution of a fish school; performing maximum and minimum angle triangular mesh division on the three-dimensional point cloud data; in each triangular grid unit in the non-cross triangular grid structure, according to the fish school density difference value and the unit center distance between the adjacent units, an instantaneous convection velocity field induced by the fish school gathering behavior is calculated, and the convection velocity direction points to the adjacent units with the high density from the units with the low density; taking the instantaneous convection velocity field as a unique convection driving item of a reaction diffusion model, and combining with a preset diffusion coefficient to construct a dynamic partial differential equation; and carrying out numerical solution on the dynamic partial differential equation by adopting a finite volume method, and outputting a predicted fish population density spatio-temporal evolution result. According to the invention, the real-time performance and precision of dynamic monitoring are improved.

The embodiment of the application discloses a fish population dynamic monitoring method and system based on a reaction diffusion model, the method comprising: acquiring fish school echo signals of a target water area collected by an underwater sonar device in real time to generate three-dimensional point cloud data representing spatial density distribution of the fish school; performing maximum minimum angle triangular mesh division on the three-dimensional point cloud data; in each triangular mesh unit in a non-crossing triangular mesh structure, calculating an instantaneous convection velocity field induced by the aggregation behavior of the fish school according to a fish school density difference between adjacent units and a unit center distance, and the convection velocity direction is from a unit with lower density to an adjacent unit with higher density; taking the instantaneous convection velocity field as the only convection driving term of the reaction diffusion model, combining a preset diffusion coefficient to construct a dynamic partial differential equation; and adopting a finite volume method to numerically solve the dynamic partial differential equation and output a predicted fish population density spatio-temporal evolution result. The application improves the real-time performance and accuracy of dynamic monitoring.

Provided is a culturing facility comprising: a rearing water tank for rearing a cultured fish stock; an inspection device for performing a non-destructive inspection of a living cultured fish stock; and an information processing device that derives information relating to the amount of at least one organ on the basis of an inspection result acquired by the inspection device. Provided is a method for culturing fishes, comprising a selection step for selecting a parent fish from a cultured fish stock on the basis of information relating to the amount of at least one organ acquired during a non-destructive inspection of a living cultured fish stock.

To provide: an agent that reduces a strange taste while holding saltiness in a seasoning; and a method therefor.SOLUTION: A strange taste reducing agent for potassium chloride which contains steam distillate of dried fish flakes is prepared. Further, according to one embodiment, a seasoning is prepared by a method including: putting dried fish flakes into a container and introducing steam into the container; extracting a volatile component at 60-130°C; cooling the extracted volatile component to 6-70°C to collect steam distillate of the dried fish flakes; and blending the collected steam distillate of the dried fish flakes together with potassium chloride.SELECTED DRAWING: None

The invention discloses an automatic and accurate fish stock feed feeding device and method based on a laser technology. The device comprises seven parts including a laser emitting end, a laser emitting end height adjusting control device, a laser receiving end, a laser receiving end height adjusting control device, a liquid level transmitter, an intelligent controller and a feed feeding machine. The method comprises the steps that the intelligent controller synchronously adjusts the laser transmitting end and the laser receiving end to the water surface according to a culture water body height signal sent by the liquid level transmitter, the laser transmitting end and the laser receiving end are located on the same horizontal plane, and the feed feeding machine is started regularly according to a preset time point; the ingestion intensity of the fish schools is calculated according to the blocking frequency of the blue-green laser signals caused by ingestion of the fish schools, a graded feed feeding strategy is adopted, a corresponding feed feeding strategy is selected according to the ingestion intensity, and accurate feeding is achieved. According to the invention, through multi-channel and high-frequency laser transmission path shielding detection, the ingestion activeness of fish schools is directly quantified.

The invention provides an otolith shape detection and identification method based on machine learning, and relates to the technical field of otolith detection, and the method comprises the steps: S101, obtaining an original otolith image, and carrying out the preprocessing of the original otolith image; s102, the user marks a core reference line on the original otolith image; s103, forming an ROI region along the core reference line, and performing feature extraction on the ROI region to obtain ROI region features; s104, constructing a wheel pattern recognition model, providing prior constraints for the wheel pattern recognition model by using an environment-wheel pattern association rule, inputting the ROI region features into the wheel pattern recognition model, and outputting wheel pattern position information and wheel pattern number information; and S105, visualizing the position information of the wheel ripples and the number information of the wheel ripples. According to the method, the otolith ring pattern recognition efficiency and accuracy can be improved, reliable data support can be provided for fish population dynamic monitoring, fishery resource evaluation and ecological environment research, and the application range is wide.

This invention proposes a data analysis-based method and system for assessing fish resources in reservoirs, belonging to the field of resource assessment. The method includes collecting ecological characteristic data and population characteristic parameters of introduced and native fish populations in the reservoir; calculating niche overlap indices between introduced and native fish populations in both spatial and trophic dimensions, and integrating these to obtain a comprehensive niche difference index; calculating the population growth potential of each population and obtaining a fitness difference index; processing the comprehensive niche difference index and fitness difference index to obtain a coexistence stability score and determining the coexistence stability level of the two populations; acquiring time-series data of the niche overlap index, extracting fluctuation characteristic parameters, and generating a fish resource assessment report based on the fluctuation characteristic parameters and the coexistence stability level. This invention can comprehensively assess niche differences between populations.

The application provides a kind of alien fish invasion risk dynamic identification method and system, it is related to data processing technical field, method includes: collecting the multi-source ecological monitoring data of each monitoring point in a specific time period;The multi-source ecological monitoring data is preprocessed, and the standardized ecological data set is obtained;Based on the standardized ecological data set, the discrete state space model is constructed for different fish populations respectively;By extending the least square method, the parameters of discrete state space model are dynamically identified;According to the dynamic identification of discrete state space model, the dynamic change trend of local fish state variable under given invasion pressure is predicted;Combined with multi-source ecological monitoring data and dynamic change trend, fuzzy reasoning model is constructed;Multi-source ecological monitoring data is input into fuzzy reasoning model, and the invasion risk comprehensive evaluation value is output;Alien fish invasion risk grade is dynamically divided;According to the invasion risk grade of alien fish, intervention strategy instruction is automatically generated.

The invention relates to the field of intelligent fishery and ecological protection, in particular to a fish traceability and ecological monitoring method based on an RFID reader of the Internet of Things, which comprises a system body mainly composed of a fish identification tag, an RFID reader, a water quality sensor, a cloud data analysis platform and the like, and a fish traceability and ecological monitoring application method implemented based on the system body. Compared with the prior art, the system has the advantages that based on the RFID identification technology, water quality of a water area and fish in the water area are supervised, a reliable individual traceability tool is provided, the brand value of aquatic products and the credibility of consumers are improved, the functions of electronic fence and water quality monitoring are deeply integrated, the ecological management value of a project is enhanced, and in addition, the system has a good application prospect. And a new means for long-term, automatic and low-cost monitoring of fish population dynamics and evaluation of ecological restoration effect is provided for ecologists.

Conventional fish counting devices require a large installation space and suffer from problems such as reduced counting accuracy due to external light and water flow. [Solution] This invention integrates the flow path and counting device, reducing installation space. It is equipped with light blocking means and water draining means to reduce the influence of the external environment and improve counting accuracy. The calculation unit detects fish based on imaging data and achieves accurate counting. As a result, counting accuracy is improved regardless of the shape or movement of the fish, making fish population management in the fisheries industry simpler. Furthermore, it has a function to output the counting results to another electronic device, which can improve the efficiency of data management. As a result, improved work efficiency and accuracy can be expected.

The utility model provides an ecological protection comprehensive breeding device which comprises an oxygen conveying main frame and a supporting frame arranged in the middle of the oxygen conveying main frame, a power supply mechanism is arranged on the supporting frame, a plurality of breeding modules are arranged between the oxygen conveying main frame, each breeding module is communicated with the power supply mechanism through the oxygen conveying main frame, and the breeding modules are connected with the power supply mechanism through the oxygen conveying main frame. The breeding module comprises a breeding frame detachably connected with the oxygen conveying main frame, a supporting ring arranged in the middle of the breeding frame, a seedling raising bowl detachably connected to the supporting ring, and a self-sensing oxygenation mechanism fixed to the bottom of the supporting ring and extending into the breeding frame. An opening is formed in the bottom of the seedling raising bowl and communicated with the interior of the breeding frame. According to the utility model, effects in multiple aspects are integrated, and a good growth environment is provided for breeding of fish populations.

The present application belongs to the technical field of fishery resource assessment, and provides a method for assessing fish population resource quantity. The method is based on multi-year daily scale fishery data and time corresponding environmental monitoring data, and differentiates the fish capture data and environmental factor data, and on this basis, an environmental response assessment model between fish population resource quantity and various environmental factors is constructed. The assessment model simultaneously reflects the linear influence and nonlinear response characteristics of environmental factors on fish population resource quantity, and the model parameters are determined using historical data, and after the parameters are determined, the fish population resource quantity of the same water area in different time periods can be continuously assessed. The method can effectively improve the stability and accuracy of fish resource quantity assessment, and is suitable for fish resource management and decision support in natural waters such as rivers, lakes and reservoirs.

The utility model discloses a fish tank feeder with a moisture-proof function, which comprises a feeding box, the feeding box comprises a fish feed bin and a feed delivery bin located below the fish feed bin, and a feed delivery mechanism capable of partially sliding out of the feed delivery bin to feed fish feed into a fish tank is arranged in the feed delivery bin. When the feeding mechanism slides out, a feeding opening with an upper opening and a lower opening is formed in the portion, located on the outer side of the feeding bin, of the feeding mechanism, a discharging opening corresponding to the upper opening of the feeding opening when the feeding mechanism does not slide out is formed in the bottom of the fish stock bin, the heating bin is fixedly connected with the feeding bin, and a lamp panel is arranged in the heating bin. And a heating lamp for heating the feeding bin is arranged on the lamp panel. Compared with the prior art, the device has the advantages that the heating lamp in the heating bin can be used for drying the damp part in time, so that the fish feed in the feeding bin and the fish feed bin is prevented from being damped and mildewed.

This invention discloses a method, apparatus, and equipment for estimating fish stock in ponds based on a machine learning model, relating to the field of fisheries counting technology. The method includes: acquiring pond data of the pond to be estimated; the pond data includes: meteorological data, basic fish data, fish feeding data, and water quality data; inputting the pond data of the pond to be estimated into a stock estimation model to obtain an estimated value of the fish stock in the pond; the stock estimation model is obtained by training a machine learning model using pond data from multiple training ponds and the corresponding actual values ​​of fish stock, and the machine learning model includes: a first sub-model, a second sub-model, a third sub-model, a fourth sub-model, and a fifth sub-model. This invention improves the accuracy of fish stock counting.

This invention discloses a method for detecting *Echinochloa serrata* based on environmental RNA and its primer combination, solving the technical problems of existing environmental RNA detection technologies in benthic fish applications, such as lack of molecular markers, insufficient detection specificity, and inability to reflect physiological states. Based on environmental RNA (eRNA) technology, this invention designs primer pairs targeting the *Ptger4b* gene and combines them with quantitative real-time PCR (qPCR) technology to achieve rapid and sensitive detection of *Echinochloa serrata* in isolated rearing systems. This method is simple to operate, highly sensitive, and has minimal impact on the ecological environment. It is suitable for the detection and quantitative verification of target species in isolated rearing systems and has the potential to be extended to natural marine areas for fish population monitoring, fisheries resource assessment, and species conservation in the future.

The utility model discloses a fish measurable character measuring device, and belongs to the technical field of fish morphology. The device comprises a measuring assembly, an adjustable buoy, a fish guiding assembly and an anchoring assembly, the measuring assembly is provided with an inlet and an outlet, and a shooting piece and a scale piece opposite to the shooting piece are arranged in the measuring assembly; the adjustable buoy is arranged on the top surface of the measuring assembly; the fish guiding assembly is fixed at an inlet and an outlet of the measuring assembly; the fish guiding assembly is provided with a first end and a second end which are opposite. The diameter of the second end is larger than that of the first end. The first end is connected with the inlet and the outlet, so that a single fish tail can enter the measuring assembly. According to the utility model, the fish guide channel with the two-way opening is arranged to randomly sample fishes in a water body, and data of fish population and community measurable character structures are acquired, so that a basis is provided for subsequent statistics.

The application discloses a marsh habitat multi-element integrated promotion method based on biological difference requirements, and belongs to the technical field of wetland ecological restoration. The method first carries out biological resource investigation and water quality monitoring on the target marsh area, establishes the corresponding relationship between the biological community life cycle stage and the habitat element demand, and then divides the area into a clear water structure type habitat promotion area and a food supply enhancement area. In the clear water promotion area, complementary submerged plant combinations are used for restoration, and in the food supply enhancement area, local fish stocking is implemented by constructing a containment unit, and the water eutrophication state is monitored in real time. The effect evaluation is completed through regular ecological monitoring. The application is oriented to biological differentiation requirements, cooperatively regulates water quality, food supply and habitat structure, has stronger restoration accuracy and stability, can effectively improve the suitable living conditions of the key life cycle of multiple types of organisms, and optimizes the structure and function of the marsh wetland ecosystem.

The invention relates to the technical field of fish marking and tracking, and discloses a scleroderma fish marking method based on multi-element composite marking. The method specifically comprises the following steps: marking the sclerobone fish for two or more times by adopting a plurality of marking elements, and introducing the marking elements into the sclerobone fish body, so as to form a composite element fingerprint spectrum formed by a plurality of marking peaks in the otolith of the sclerobone fish. And then, scanning along the growth axis of the otolith through electron probe microscopic analysis (EPMA), analyzing the position, intensity and width characteristics of a mark peak, and realizing high-resolution identification and tracking of an individual or a group. According to the method, the stable and recognizable compound element fingerprints can be formed in the otolith by reasonably designing element types, concentration gradients and processing time, and the method is suitable for multiple scenes such as fish population dynamic monitoring, fishery management and species protection.

The application discloses a method for proliferating and releasing large fish parents, which comprises the following steps: acquiring fish information of the large fish, adjusting temporary breeding environmental conditions according to the analysis of the fish information; using image recognition technology to monitor the adaptation of the large fish in the temporary breeding environment in real time; generating a release evaluation report through the evaluation of the adaptation; formulating a proliferation and release scheme according to the release evaluation report, and tracking the survival condition of the proliferated and released large fish according to the scheme; evaluating and analyzing the release effect through continuous monitoring and data collection to further improve the proliferation and release strategy; and the method can improve the proliferation and release success rate of the large fish, reduce resource waste, and has important significance for protecting the large fish population and the ecological system.

Systems and method for providing marine data are provided herein. The system comprises a display, a processor and a memory including computer program code configured to, when executed, cause the processor to cause presentation of a chart indicating at least a portion of a body of water. The computer program code is further configured to receive sonar data from one or more sonar transducers associated with a watercraft, the sonar data being associated with a corresponding location where it was captured. The computer program code is further configured to determine a population density of fish at a location based on the sonar data and generate a heat map based on the population density. The heat map indicates one or more population densities at corresponding locations on the chart. The computer program code is further configured to cause presentation of the heat map over the chart.

This invention discloses a method and system for allocating fish stock enhancement quotas in plateau lakes and reservoirs based on ecological carrying capacity analysis. The method includes: acquiring lake / reservoir environmental perception information; preprocessing the information and constructing a distribution map of lake / reservoir environmental parameters; extracting multimodal features from the environmental parameter distribution map to generate multimodal fusion features, constructing an ecological carrying capacity analysis model, and performing ecological carrying capacity analysis on the target plateau lake / reservoir to obtain ecological carrying capacity analysis information; introducing a quantum evolutionary algorithm to combine the ecological carrying capacity analysis information and the multimodal fusion features to perform fish stock enhancement quota analysis and generate a stock enhancement quota scheme; conducting spatial value assessment of the target plateau lake / reservoir to generate a value heatmap; and using an ant colony optimization algorithm to optimize the stock enhancement quota allocation path to obtain a stock enhancement allocation path network to assist in fish stock enhancement quota allocation in the lake / reservoir. This improves the effectiveness and ecological stability of fish stock enhancement in plateau lakes and reservoirs.

The invention discloses an underwater fish population identification method based on image restoration, and relates to the field of image processing, and the method comprises the steps: collecting an original target image of a to-be-detected region, and synchronously obtaining an identification condition; performing image preprocessing on the original target image to obtain a clear image; obtaining a corrected and restored image according to the identification condition; obtaining a first proportion of the image to the actual scene according to the identification condition, and obtaining the actual size of the fish according to the size of the corrected and restored image and the first proportion; and inputting the corrected and restored image and the actual size into a fish population recognition model to obtain a fish population recognition result. According to the method, the original target image and the real-time identification condition of the underwater fish are synchronously acquired, the original target image is corrected and restored, and the real posture of the fish in the complex underwater environment is restored. The problem of image distortion caused by neglecting environment and equipment factors in a traditional method is solved, and the accuracy of fish population identification is improved.