Sturgeon hatching method based on a neural network model and system thereof

A neural network model and Sturgeon technology, applied in the biological neural network model, neural learning method, neural architecture, etc., can solve the problem of imprecise control of hatching conditions, and achieve the goal of improving the success rate of hatching, ensuring self-control and comprehensiveness Effect

Pending Publication Date: 2022-02-08
湖北清江鲟鱼谷特种渔业有限公司
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Problems solved by technology

[0003] At present, the hatching of sturgeon adopts collective hatching in hatching pools, and the hatching conditions are roughly controlled within the range of suitable hatching. The control of hatching conditions is not fine, and it may not be the best hatching condition for hatching eggs of different speci

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  • Sturgeon hatching method based on a neural network model and system thereof
  • Sturgeon hatching method based on a neural network model and system thereof

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Embodiment Construction

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0032] See attached figure 1 , in the present embodiment, a method for hatching sturgeon based on a neural network model, comprising the following steps:

[0033] Step 1. Data collection before hatching, including the species of sturgeon roe, the total number of roe, the temperature of the hatching tank, the velocity of water flow, the concentration of dissolved oxygen and the intensity of light;

[0034] Step 2. Data collection after hatching, including the ...

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Abstract

The invention discloses a sturgeon hatching method based on a neural network model and a system thereof, relates to the field of sturgeon culture, aims to solve the problem that sturgeon hatching conditions are not controlled finely at the present stage, collects the optimal hatching rate of different sturgeon roes through a plurality of experience samples, and according to data provided by the plurality of experience samples, the sturgeon roe type, the total roe number and the hatching rate serve as input layers, the temperature, the water flow speed, the dissolved oxygen concentration, the illumination intensity and the average hatching duration serve as output layers, a neural network is constructed, training is conducted till convergence is achieved, and a neural network model is obtained; the optimal hatching condition can be obtained by inputting the sturgeon roe variety, the total roe number and the ideal hatching rate by breeding personnel, the system can also assist in controlling the hatching condition, and efficient hatching and intelligent hatching are guaranteed.

Description

technical field [0001] The invention relates to a method and system for hatching sturgeon based on a neural network model, belonging to the field of sturgeon breeding. Background technique [0002] Sturgeon is a typical omnivorous fish, which has the advantages of fast growth, strong adaptability, few diseases, and high economic value. Nutrients, in addition, its skin can be made into high-quality special leather, and the swim bladder and notochord can also be made into isinglass. It can be said that the whole body of the sturgeon is a treasure, and its economic value is extremely high. The following problems exist in the breeding process of sturgeon: [0003] At present, the hatching of sturgeon adopts collective hatching in hatching pools, and the hatching conditions are roughly controlled within the range of suitable hatching. The control of hatching conditions is not fine, and it may not be the best hatching condition for hatching eggs of different species of sturgeon. ...

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Application Information

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IPC IPC(8): A01K61/17G06N3/04G06N3/08
CPCA01K61/17G06N3/04G06N3/08Y02A40/81
Inventor 王宝华李义勇李小欣季坚义王小文
Owner 湖北清江鲟鱼谷特种渔业有限公司
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