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Designing a Farm Emergency Plan Utilizing Artificial Intelligence.

Noah J Berning1, Shawn G Ehlers1, William E Field1

  • 1Department of Agricultural & Biological Engineering, Purdue University, West Lafayette, Indiana, USA.

Journal of Agricultural Safety and Health
|March 9, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) systems show potential for creating farm emergency plans (FEPs), but cannot generate complete plans independently. Human oversight and specific prompts are crucial for effective AI-assisted agricultural emergency preparedness.

Keywords:
Agriculture safetyArtificial intelligenceEmergencyFarm emergency planFarm emergency preparednessSafety plan.

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Area of Science:

  • Agricultural Safety and Technology
  • Artificial Intelligence Applications
  • Emergency Preparedness

Background:

  • Farm Emergency Plans (FEPs) are critical for agricultural safety.
  • Evaluating the efficacy of AI in generating comprehensive FEPs is a growing area of research.
  • Current AI systems may have limitations in understanding the complexities of diverse agricultural operations.

Purpose of the Study:

  • To assess the capability of three AI systems (ChatGPT, Microsoft Copilot, Google Gemini) in generating functional FEPs for a Midwestern row crop grain farm.
  • To evaluate the completeness and accuracy of AI-generated FEPs and emergency responses.
  • To determine the necessity of human intervention and prompt specificity in AI-assisted FEP development.

Main Methods:

  • Three AI systems were prompted with four levels of specificity to generate twelve distinct FEPs.
  • A rubric, based on literature review, was used to evaluate FEP components.
  • AI systems were also tested on responses to three specific farm emergencies: grain entrapment, chemical spills, and ammonia exposure.

Main Results:

  • ChatGPT and Microsoft Copilot provided useful starting points for FEPs with detailed prompts; Google Gemini was less effective.
  • None of the AI systems could independently generate complete and reliable FEPs.
  • AI responses to specific emergencies were informative but required human validation and additional input.

Conclusions:

  • AI systems can serve as valuable tools for agricultural emergency preparedness but require human guidance.
  • Effective FEP creation necessitates a collaborative approach between AI, user expertise, and evidence-based resources.
  • The capabilities of AI systems are rapidly evolving, suggesting future iterations may offer more comprehensive solutions.