Empowering farmers with artificial intelligence: a retrieval-augmented generation based large language model advisory framework

This study presents a retrieval augmented generation (RAG) based system designed to provide farmers with expert agricultural advisory services. The framework delivers context aware guidance on critical practices such as crop cultivation, pest and disease management, fertilizer application, and othe...

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Podrobná bibliografie

Hlavní autoři:	Shreeram Sawant, Rahul Nair, Siddharth Hariharan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	PAGEPress Publications 2026-01-01
Edice:	Journal of Agricultural Engineering
Témata:	Agricultural advisory systems large language models (LLMs) question answering retrieval augmented generation (RAG) semantic retrieval vector databases
On-line přístup:	https://www.agroengineering.org/jae/article/view/1908
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