An integrating RAG-LLM and deep Q-network framework for intelligent fish control systems

An integrating RAG-LLM and deep Q-network framework for intelligent fish control systems

Abstract The fish farming industry is advancing by adopting technologies designed to enhance efficiency, productivity, and sustainability. This study investigates integrating a Retrieval-Augmented Generation Large Language Model (RAG-LLM) with a Deep Q-Network (DQN) in autonomous aquaculture. It com...

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Bibliographic Details
Main Authors: Pobporn Danvirutai, Siripavee Charoenwattanasak, Siriporn Tola, Kampon Thaiso, Bundit Yuangsoi, Hoang Trong Minh, Chavis Srichan
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Intelligent aquaculture system
Retrieval-augmented generation (RAG)
Large language models (LLMs)
Deep Q networks
Experts
Online Access:https://doi.org/10.1038/s41598-025-05892-3
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https://doi.org/10.1038/s41598-025-05892-3

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