2024/03/20 by Djavan De Clercq, De Clercq, Djavan, Elias Nehring +5 · 4 citations
Business, Management and Accounting · Social Sciences · #Computational and Text Analysis Methods #Computers and Society (cs.CY) #FOS: Computer and information sciences #FinTech, Crowdfunding, Digital Finance
paper · pdf · doi:10.48550/arxiv.2403.15475
openalex publication_date 2024/03/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Coverage of ChatGPT-style large language models (LLMs) in the media has focused on their eye-catching achievements, including solving advanced mathematical problems and reaching expert proficiency in medical examinations. But the gradual adoption of LLMs in agriculture, an industry which touches every human life, has received much less public scrutiny. In this short perspective, we examine risks and opportunities related to more widespread adoption of language models in food production systems. While LLMs can potentially enhance agricultural efficiency, drive innovation, and inform better policies, challenges like agricultural misinformation, collection of vast amounts of farmer data, and threats to agricultural jobs are important concerns. The rapid evolution of the LLM landscape underscores the need for agricultural policymakers to think carefully about frameworks and guidelines that ensure the responsible use of LLMs in food production before these technologies become so ingrained that policy intervention becomes challenging.