The invention provides a three-dimensional multi-dimensional oceanic nekton monitoring method based on
artificial intelligence, and relates to the technical field of oceanic nekton monitoring, and the method comprises the steps: deploying a temperature-
salinity-depth section
plotter and an acoustic
Doppler flow velocity section
plotter, collecting data, configuring an environment parameter
data set, obtaining a three-dimensional environment parameter
data set, and obtaining a three-dimensional environment parameter
data set; and a multi-dimensional environment parameter
database is generated. Various ocean
fishery resource investigation means are fused, an advanced
artificial intelligence method is applied, three-dimensional multi-dimensional
dynamic monitoring of the ocean swimming animals is achieved, on one hand, the number composition and space-
time distribution of the ocean swimming animals, especially the vertical distribution characteristics can be monitored, the
population dynamics of the ocean swimming animals and the relation between the
population dynamics and environmental factors can be revealed, and on the other hand, the
population dynamics of the ocean swimming animals can be monitored. By monitoring the swimming animals, basic data can be provided for population resource evaluation, and the method serves formulation of
fishing quota of ocean economic swimming animals, delimitation of ocean protection areas and the like.