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Fish growth rate prediction method and system based on environment modeling

A prediction method and growth rate technology, applied in the field of deep learning, can solve problems such as fish growth rate prediction without a system, and achieve the effect of comprehensively covering environmental factors and adapting to a wide range

Pending Publication Date: 2022-04-22
CHINA AGRI UNIV
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Problems solved by technology

[0004] The present invention provides a fish growth rate prediction method and system based on environmental modeling to solve the defect in the prior art that the fish growth rate is not systematically predicted by the ambient water temperature

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  • Fish growth rate prediction method and system based on environment modeling
  • Fish growth rate prediction method and system based on environment modeling
  • Fish growth rate prediction method and system based on environment modeling

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[0055] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0056] Aiming at the demand of fish growth rate prediction in circulating aquaculture system, considering that the collection technology of environmental data is relatively mature and feasible, and can better balance the requirements of cost and accuracy, the present invention proposes a method based on environmental modeling Fish growth rate prediction method, using deep learning method to b...

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Abstract

The invention provides a fish growth rate prediction method and system based on environment modeling. The method comprises the following steps: acquiring environment data; based on the environment data, constructing an adaptive time mode network to obtain a water temperature prediction reasoning model; and inputting experience data of to-be-predicted fish into the water temperature prediction reasoning model to obtain a prediction result of the growth rate of the to-be-predicted fish. The water temperature prediction reasoning model is constructed by collecting the comprehensive environmental data, the prediction results of the growth rates of different fishes are obtained by combining the growth experience values of the different fishes, and the method has the advantages that the application range is wide, the environmental factors are comprehensively covered, and the prediction model does not need to be repeatedly trained.

Description

technical field [0001] The invention relates to the technical field of deep learning, in particular to a fish growth rate prediction method and system based on environmental modeling. Background technique [0002] With the change of population dietary structure, more and more people use fish as the main protein source, which promotes the development of aquaculture industry. Aquaculture systems are mainly open, semi-intensive or intensive, depending on the stocking density of the fish. The Recirculating Aquaculture System (RAS) is a controlled-environment farming method that can control the growth rate and harvest cycle. In addition, the recirculating aquaculture system realizes the reuse of water through biological filtration, which effectively reduces the loss of heat energy and water resources. The amount of water required is 90%-99% lower than that of traditional methods, and the treatment of waste is also pollution-free. An environmentally friendly and efficient farmin...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06N3/04G06N3/08
CPCG06Q10/04G06Q50/02G06N3/049G06N3/08G06N3/045
Inventor 王洋郭宇张善宏于光辉李道亮
Owner CHINA AGRI UNIV
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