1 of 16

AI FOR AGRICULTURAL EXTENSION PRACTICE

Nassib MugwanyaNational Agricultural Research Organization (NARO)Uganda Extension Week | April 20, 2026

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

1

2 of 16

Reflection

Turn to the person next to you. What is one question a farmer has ever asked you that was difficult to answer?

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

2

3 of 16

�The Reality: Pressure to do more, faster

  • Growing demand for extension

  • Limited resources

  • Slow information flow

  • Farmers need timely advice

National Agricultural Research Organization

3

4 of 16

How Did We Get Here?

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

4

Traditional Extension�👩🏾‍🌾 Human, trusted�⚠️ Limited reach

Digital Tools (SMS, Radio)�📱 More reach�⚠️ One-size-fits-all

Platforms & Apps�🌐 More information�⚠️ Complex, low use

AI (Now)�🤖 Interactive�⚡ Fast�🎯 Personalized

5 of 16

��What is AI? A smart assistant—not a replacement

  • AI = Tools that can:

    • Understand questions

    • Generate advice

    • Learn from data

 

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

5

6 of 16

What AI is Doing

  • Pest & disease detection

  • Climate advisory translation

  • Market insights

  • Digital extension assistants

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

6

7 of 16

��Will AI strengthen or replace extension?�Roles will change—not disappear��

  • Strengthens�✔ Faster advice�✔ Wider reach

  • Risks replacing�⚠ Routine advisory roles

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

7

8 of 16

Why Extension Still Matters

  • Future = Human + AI

  • AI cannot:
    • Build trust
    • Understand local realities fully
    • Drive behavior change

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

8

9 of 16

Why AI Now?

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

9

Before:�One message → Many farmers

Now:�Right advice → Right farmer → Right time

10 of 16

What Would a Win Look Like?

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

10

Farmers → timely advice

Extension → more effective

Researchers → better feedback

Policy/Private → scalable systems

11 of 16

From Hype to Practice

❌ AI will solve everything�❌ AI is dangerous

✅ Start small�✅ Learn by doing

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

11

12 of 16

Practical Workflows

  1. Simplify research
  2. Create training content
  3. Diagnose problems
  4. Plan visits
  5. Translate advisories

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

12

13 of 16

Prompting Hack: Good prompts = better answers

Technique 1: Role + Task + Context

 

  • Example:

�“Act as an agricultural extension worker. Explain how to manage fall armyworm. For smallholder maize farmers in Uganda, using simple language.”

Technique 2: The Upgrade Prompt

 Start simple → Then refine

  • Step 1:�“Explain soil fertility management.”
  • Step 2 (upgrade):�“Now simplify this for farmers with low literacy and give 3 practical steps.”

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

13

14 of 16

Risks & Guardrails�Need for capacity building + data governance

  • Poor data → poor advice

  • Over-reliance

  • Inequality

  • Loss of local knowledge

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

14

15 of 16

Take Home

  • AI will not replace extension.

  • But extension that uses AI will replace extension that doesn’t!

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

15

16 of 16

Thank You!

NATIONAL AGRICULTURAL RESEARCH ORGANIZATION

16