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April 16, 2026Q OpenOpen Access

Social Acceptance of Large Language Models in Agricultural Extension and Advisory: A Rapid Review

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Authors

UEUduak Ita EdetACAtaharul Chowdhury

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Overview

This rapid review assesses the social acceptance of AI in agricultural extension services, highlighting challenges and implications for adoption.

Key Points

  • This review aims to explore the acceptance of Large Language Models in agricultural extension and advisory services using established frameworks.
  • Conducted a rapid review of 12 studies using the PRISMA framework.
  • Applied Rogers’ Diffusion of Innovation theory and Wüstenhagen et al.’s Social Acceptance Framework for analysis.
  • Performed thematic analysis manually and with NVivo 14.
  • LLMs enhance functions like question answering, climate analytics, and pest identification in agriculture.
  • Adoption of LLMs may disrupt traditional roles in Extension and Advisory Services.
  • Private firms predominantly develop LLMs, raising issues of transparency and inclusion.

Cite This Study

Edet et al. (2026) studied this question.

synapsesocial.com/papers/69e07cc02f7e8953b7cbdd68https://doi.org/10.1093/qopen/qoag001
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