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...

Повний опис

Збережено в:

Бібліографічні деталі
Автори:	Shreeram Sawant, Rahul Nair, Siddharth Hariharan
Формат:	Artigo
Мова:	Inglês
Опубліковано:	PAGEPress Publications 2026-01-01
Серія:	Journal of Agricultural Engineering
Предмети:	Agricultural advisory systems large language models (LLMs) question answering retrieval augmented generation (RAG) semantic retrieval vector databases
Онлайн доступ:	https://www.agroengineering.org/jae/article/view/1908
Теги:	Додати тег Немає тегів, Будьте першим, хто поставить тег для цього запису!

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

Схожі ресурси