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A Comprehensive Survey of Retrieval-Augmented Large Language Models for Decision Making in Agriculture: Unsolved Problems and Research Opportunities Cover

A Comprehensive Survey of Retrieval-Augmented Large Language Models for Decision Making in Agriculture: Unsolved Problems and Research Opportunities

Journal of Artificial Intelligence and Soft Computing Research
Volume 15 (2025): Issue 2 (March 2025)
By: Artem Vizniuk,  Grygorii Diachenko,  Ivan Laktionov,  Agnieszka Siwocha,  Min Xiao and  Jacek Smoląg  
Open Access
|Feb 2025

Authors

Artem Vizniuk

Kyiv, Ukraine

Grygorii Diachenko

Dnipro University of Technology, Ukraine

Ivan Laktionov

Laktionov.I.S@nmu.one

Dnipro University of Technology, Ukraine

Agnieszka Siwocha

Information Technology Institute, SAN University, Łódź, Poland

Min Xiao

Nanjing University of Posts and Telecommunications, College of Automation & College of Artificial Intelligence, Nanjing, China

Jacek Smoląg

Częstochowa University of Technology, Department of Artificial Intelligent, Poland
DOI: https://doi.org/10.2478/jaiscr-2025-0007
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Language: English
Page range: 115 - 146
Submitted on: Sep 9, 2024
|
Accepted on: Dec 1, 2024
|
Published on: Feb 5, 2025
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
large language models, agriculture, decision-making, retrieval-augmented generation
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2025 Artem Vizniuk, Grygorii Diachenko, Ivan Laktionov, Agnieszka Siwocha, Min Xiao, Jacek Smoląg, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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