Potential of Using Large Language Models to Develop Agricultural Management Indicators: Experiments on the Automatic Structuring of Agricultural Documents into Tables

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Journal
Agricultural Information Research
Published
2025-06-30
DOI
https://doi.org/10.3173/air.34.51
Primary Topic
Computational and Text Analysis Methods
Type
article
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article

Potential of Using Large Language Models to Develop Agricultural Management Indicators: Experiments on the Automatic Structuring of Agricultural Documents into Tables

Masaei Sato, Kenta Baba
Agricultural Information Research
Computational and Text Analysis Methods
article

Potential of Using Large Language Models to Develop Agricultural Management Indicators: Experiments on the Automatic Structuring of Agricultural Documents into Tables

Masaei Sato, Kenta Baba
article en

Abstract

No abstract available for this paper.
Agricultural Information ResearchVol. 34(2)
Kyushu Okinawa Agricultural Research Center (JP), Hokkaido Agricultural Research Center (JP)
Zero hunger
Openalex Percentile: Top 78%
Computational and Text Analysis Methods
DOIOpen Access PDFOpenAlex
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Potential of Using Large Language Models to Develop Agricultural Management Indicators: Experiments on the Automatic Structuring of Agricultural Documents into Tables — Masaei Sato, Kenta Baba · Agricultural Information Research (2025) | TGRS Research Map | TGRS