8 results about "Fish stocking" patented technology

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 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.

The invention provides a water-change-free fish and vegetable symbiotic culture process, and relates to the technical field of crossing of aquaculture and soilless culture. According to the process, the structure of the culture pond is optimized, nitrobacteria colonization culture is accurately controlled, vegetable water culture and culture pond shading integration is achieved through a high-density white crystal plate, the fry putting and daily management process is standardized, a closed-loop ecological system for fish culture microorganism purification and vegetable absorption is constructed, and zero water change in the whole culture process is achieved. The problems that a traditional fish and vegetable symbiotic system is prone to deterioration of water quality, frequent in water changing and difficult to maintain ecological balance are solved, it is ensured that the concentration of ammoniacal nitrogen and nitrite in a water body is stabilized within a safe range through the bottom slope of the culture pond, directional oxygenation and directional culture of nitrifying bacteria, meanwhile, vegetable roots are used for absorbing water body nutrients, and the yield and quality of vegetables are improved. The process has the characteristics of water saving, environmental protection, ecological friendliness, simplicity and convenience in management and high planting and breeding benefits, and is suitable for large-scale planting and breeding bases and family gardening scenes.

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.

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.