A method for judging the state of fish farming by the behavior of freshwater cultured fish in ponds

Abstract

The invention discloses a method for judging the behavior of freshwater cultured fish in a pond to the state of fish culture. The invention uses image processing technology to monitor the behavior of fish schools in real time and can monitor the living conditions of fish at any time. Monitoring to detect changes in the living environment of fish in a timely manner. Once an abnormal phenomenon occurs in the fish school, the abnormal information can be sent to the breeder in a timely manner, effectively avoiding serious economic losses in fish farming. Compared with traditional farming , can not only liberate laborers from heavy work, but also ensure the safety of the production process. At the same time, it can more accurately reflect the living conditions of fish schools, and take effective measures against emergencies in breeding, reduce losses, and improve breeding quality. Yield, the present invention carries out real-time monitoring from different parts of the body of the fish school, which ensures the all-round monitoring of the fish school, and ensures the safety and intelligence of aquaculture.

Description

technical field [0001] The invention relates to a method for judging the behavior of freshwater cultured fish in a pond to the fish culture state, and belongs to the technical field of intelligent aquaculture. Background technique [0002] my country is a big country in fishery and aquaculture, and fish farming has a long history in my country. my country's aquatic product exports account for about 10% of the world's total aquatic product trade, ranking first in the world. Nowadays, most of the aquaculture in our country still uses manual monitoring of fish behavior. This kind of monitoring is not only time-consuming, labor-intensive, and labor-intensive, but also the data obtained from it has strong personal subjectivity and weak objectivity. The data are not conducive to accurate analysis of fish behavior. [0003] Machine vision is a technology based on computer. It mainly collects images through cameras or video cameras, extracts the required information and processes ...

AI Technical Summary

Problems solved by technology

Nowadays, most of the aquaculture in our country still uses manual monitoring of fish behavior. This kind of monitoring is not only time-consuming, labor-intensive, and labor-intensive, but also the data obtained from it has strong personal subjectivity and weak objectivity. The data are not conducive to accurate analysis of fish behavior

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