Parasitic diseases in farmed flounder diagnosed by AI in South Korea

Published 2024년 12월 16일

Tridge summary

The National Institute of Fisheries Science in Korea has developed an artificial intelligence (AI) system, named Miribom, to diagnose parasitic diseases in farmed flounder. The system, which was demonstrated at the Jeju Fish Farming Cooperative, uses a deep learning-based model to identify disease symptoms from images. It can accurately diagnose scutica disease and emaciation in flounder. The institute plans to incorporate more diseases into the system and aims for it to be used as a tool to quickly diagnose early stage parasitic diseases.
Disclaimer:The above summary was generated by Tridge's proprietary AI model for informational purposes.

Original content

A technology to diagnose parasitic diseases in farmed flounder in advance using artificial intelligence (AI) has been developed in Korea. On the 5th, the National Institute of Fisheries Science announced that it held a demonstration of ‘Miribom,’ an artificial intelligence (AI) clinical diagnosis system that can quickly diagnose major parasitic diseases occurring in farmed flounder, at the Jeju Fish Farming Cooperative. Recently, the cause of death of flounder, the most farmed fish in Korea, is parasitic diseases, accounting for more than 50%. However, in the early stages of parasite infection, it is difficult to confirm infection with the naked eye, so fishermen often miss the appropriate treatment period. Miribom, an AI clinical diagnosis system developed by the National Institute of Fisheries Science over the course of two years, was developed to quickly diagnose whether fish are infected by taking a picture of fish suspected of having a disease with a smartphone at a farm. ...
Source: Fisheco

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