ARTIFICIAL INTELLIGENCE IN AGRICULTURE

Generative AI Tools for Agricultural Research & Extension

This one-week, self-paced certificate course provides practical, no-code training in using generative AI for agricultural research and extension. Through 21 concise lessons, participants will learn prompt writing, literature discovery, research planning, basic data analysis, scientific writing and farmer-focused communication. The course includes practical activities, quizzes, reusable prompts and a final assessment, with emphasis on accuracy, research integrity and responsible AI use.

1 week21 lessonsSelf-paced online
LEARNING OUTCOMES

What you will learn

Understand the fundamentals, applications and limitations of generative AI in agriculture.
Write effective prompts for agricultural research and extension tasks.
Use AI tools to discover, summarize and compare scientific literature.
Develop research questions, objectives, hypotheses and questionnaires.
Analyse and visualize basic agricultural data using no-code AI tools.
Improve research abstracts, reports, proposals and presentations.
Create farmer advisories, extension materials and training content.
Adapt technical information for farmers and regional-language audiences.
Verify AI-generated facts, statistics, citations and recommendations.
Recognize hallucinations, bias, plagiarism, privacy and research-integrity risks.
Apply responsible AI practices in agricultural research and extension.
Complete a practical AI-assisted agriculture project.
CURRICULUM

21 guided lessons

1. Lesson 1

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2. Lesson 2

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3. Lesson 3

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4. Lesson 4

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5. Lesson 5

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6. Lesson 6

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7. Lesson 7

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8. Lesson 8

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9. Lesson 9

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10. Lesson 10

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11. Lesson 11

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12. Lesson 12

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13. Lesson 13

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14. Lesson 14

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15. Lesson 15

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16. Lesson 16

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17. Lesson 17

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18. Lesson 18

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19. Lesson 19

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20. Lesson 20

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21. Lesson 21

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