Fish marking and networking method based on AI

Abstract

The invention discloses a fish marking and networking method based on AI (artificial intelligence), and particularly relates to the technical field of fish marking, which comprises the following specific steps: step 1, selecting a marking object: selecting a to-be-marked fish, and selecting a water area suitable for the life of the fish; step 2, data collection: according to the selected fishes, pointedly collecting life habit characteristics of the fishes in a selected water area, collecting the collected data, and establishing a cloud platform database; and step 3, mark pretreatment: S1, establishing an activity model of the target fish according to the fish life habit information in the cloud platform database. According to the invention, the reader is installed on the unmanned aerial vehicle, the unmanned aerial vehicle flies on a selected water area to receive a radio frequency signal sent by the PIT tag, and the unmanned aerial vehicle control center can intelligently adjust the position of the unmanned aerial vehicle and can automatically mark on an electronic map to simulate the moving path of the target fish. The position of the monitoring network can be automatically determined.

Description

technical field [0001] The invention relates to the technical field of fish marking, in particular to an AI-based fish marking and networking method. Background technique [0002] The fish marking technique was originally used to study the movement and migration of fish. Since Petersen et al. used marker fish to estimate fish population size and mortality in closed water bodies in 1886, this technique has been widely used in the study of fish population density death, replenishment, growth and productivity, and has been used in fish population estimation, resource It has become an important research tool in the fields of assessment, migration and distribution. Fish marking can be divided into listing marking method, in vitro marking method and internal marking method, among which the listing marking method is the oldest marking method, and most fish can use this marking method; in vitro marking method is through fin cutting, Branding and chemical marking methods leave mark...

AI Technical Summary

Problems solved by technology

However, in the field of aquaculture research technology such as fish, the application and construction of artificial intelligence is not perfect, and our country is still in the transition stage from traditional farming to modern farming.

[0004] At present, the existing fish marking methods are not combined with artificial intelligence, and readers need to be installed in the observed waters. Although the readers can receive signals better in water, they are easily affected by fish and water currents. Impact damage, and long-term immersion in water will also corrode the outer shell of the reader, and there is a risk of water short circuit