Course overview
Start hereAI for Agricultural Scientists
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Priya's Wednesday, two ways

9 lessons · 29 prompts

A day in the life of an Agricultural Scientist: what changes with these prompts.

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Priya, a crop scientist at a regional research station

Priya starts her Wednesday with a soil test report from three farms. She opens ChatGPT and uses the Analyze Soil Samples prompt, pasting in the lab numbers and asking for nutrient recommendations. In minutes, she has a clear summary she can share with the farmers.

Next, she plans a field trial for a new wheat variety. She uses the Plan Field Experiments prompt to outline treatments, controls, and sampling steps. The AI suggests a layout she had not considered, which she refines with her own knowledge.

After lunch, she meets with her team about pest resistance. She uses the Collaborate and Manage Projects prompt to turn their discussion into action items and a progress report. Later, she drafts an abstract for a paper using the Write Research Findings prompt, saving an hour of writing time.

With the time she wins back, Priya visits a nearby farm to see the wheat trials firsthand. She ends the day feeling more connected to the field and less buried in paperwork.

Before

  • Hours lost to formatting reports
  • Soil data takes days to interpret
  • Meeting notes become a pile
  • Writing abstracts feels like a chore

After this course

  • Reports drafted in minutes
  • Soil insights ready same day
  • Meetings end with clear actions
  • Abstracts written without the struggle

What you'll learn

  • Plan field trials: Use AI to shape a clear field trial plan with treatments, controls, and sampling steps before you go to the field.
  • Analyze soil samples: Interpret soil test reports, plan sampling, and turn lab numbers into practical nutrient and amendment ideas.
  • Support variety development: Organize breeding goals, compare trait data, and draft selection notes for variety development work.
  • Study pest resistance: Plan resistance screening, interpret pest notes, and build integrated pest management recommendations.
  • Advise farmers: Translate research and trial results into clear, practical advice farmers can act on.
  • Write research findings: Draft and polish abstracts, methods, results, and reviewer responses for scientific papers.
  • Analyze experimental data: Choose statistical tests, interpret output, and spot data quality issues before you draw conclusions.
  • Monitor environmental impact: Summarize monitoring data, draft impact sections, and compare sustainability indicators across practices.

How this course works

  1. 9 lessonsOne task of your job each, from plan field experiments to collaborate and manage projects.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish and keep the prompts as your own library.