Work

Coded evidence atlas and analysis code: Foundation Models, LLMs and Agentic AI in Agriculture

Year: 2026

Type: article

Abstract: Coded corpus (100 agricultural records; 62 core systems), codebook with verbatim database search strings, and Python scripts that reproduce every count, maturity label, sensitivity analysis and figure in the manuscript "Foundation Models, Large Language Models and Agentic AI in Agriculture: A Critical Review and Autonomy-by-Value-Chain Evidence Map", submitted to Computers and Electronics in Agriculture.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23904824

Author: Bui Anh, Tuan

Institution: Phenikaa University

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W7225176459

FWCI:

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