Скачать или смотреть AI and n Agriculture: How more than 1,500+ agriculture- focused young people learn smart farming

Thank you to our amazing AI in Agriculture alumni! 🌱 In this video I share why the course exists, bust a few “AI = drones & robots only” myths, and spotlight our diverse, global cohort. If you’re curious how practical AI skills translate to real farm impact—from smarter scouting to better quality control—this is for you.

⏱️ Timestamps (Chapters)

00:00 – Intro & thank-you to AI in Agriculture alumni
00:22 – Why this course exists (what I kept hearing from growers & researchers)
00:57 – AI hype vs. reality: beyond drones and “smart robots”
01:14 – What AI is made of: simple components, real workflows
01:28 – Recording the course & early impact (as of Aug 2025)
01:59 – Celebrating our alumni (ladies first, then gentlemen!)
02:45 – A global, multi-age cohort with one goal: practical results
03:01 – July alumni spotlight: profiles & progress
04:55 – Closing thoughts: tiny changes → big food system impact
05:11 – Join us on Udemy + course updates coming soon

What you’ll learn

The real building blocks of AI for agrifood (not just buzzwords).
How AI helps with scouting, QA/QC, and decision support across crops.
Why simple, measurable steps beat flashy trials that never scale.
How a diverse, global cohort accelerates practical innovation.

Who this is for

Growers, agronomists, researchers, food processors, and students who want hands-on AI skills to improve yield, quality, and efficiency—without needing a PhD or expensive hardware.

Why we built it

Talking to farmers, labs, and processors via Petiole Pro, we saw a gap: lots of interest in AI, but confusion about where to start. This course focuses on clarity, repeatable methods, and ROI—so you can apply AI on Monday, not someday.

Join the learning community

1. Enrol in AI in Agriculture (Udemy) and learn at your own pace.
2. Get updates, new modules, and practical templates as we roll them out.
3. Share your progress—your work may be featured in a future alumni spotlight!

Key takeaways

AI ≠ magic: it’s a toolbox (data → models → decisions) you can learn.
Start small: measurable pilots beat “big-bang” projects.
Context matters: orchard ≠ greenhouse ≠ factory floor.
Community wins: alumni stories show what’s possible—everywhere.

If this helped, please like, subscribe, and drop a comment with your biggest insight or what you’re applying next. Let’s grow smarter farms together! 🌾🤖

#Sustainability #Udemy #drmarynakuzmenko

DR. MARYNA KUZMENKO
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🎁👉 FREE online beginner-level course "AI in Agriculture: Practical Introductory Course" on Udemy: https://www.udemy.com/course/ai-in-ag...