AI in Agriculture, in plain language.
Understand how artificial intelligence is actually used on farms — in plain language, with real examples, and no technical background required.
Student numbers and the 4.4★ rating come from the course's Udemy listing, from 660 ratings. The course is moving from there to aiinagriculture.org.
AI in Agriculture: Practical Introductory Course
Understand how artificial intelligence is actually used on farms — crop monitoring, disease detection, irrigation and better decisions — with no technical background required.
What you'll learn
- What artificial intelligence (AI) is and how it can help in farming.
- The good and bad sides of using AI in agriculture.
- Real examples of how AI is used in agriculture.
- The main components of any AI system, including agricultural ones.
- How computer vision, machine learning and smart sensors are used on the farm.
- Why AI bias matters and how to protect your farm data.
Why learn on aiinagriculture.org
Sign in once and every lesson you finish is remembered. Quizzes are marked properly — on the server, not in your browser — so the certificate you earn actually means something, and anyone can check it.
Watch and track
Lessons play on the site, and your place is saved automatically.
Quizzes that count
Marked server-side, with feedback on what you got wrong.
A verifiable certificate
A public verification page anyone can check against.
No noise
No ads, no upsells mid-lesson, no reselling your details.
80:20
Reading two hundred items is not the same as knowing what they mean. Once a month I write down the few things that actually changed, and why — crop and animal technology, delivered to your inbox for £1 a month.
What "AI in Agriculture" Actually Means
AI in agriculture is the application of machine learning, computer vision, and data systems to farming and the wider agrifood chain — from a seedling in a nursery to produce on a shelf. It spans precision agriculture, autonomous machinery, post-harvest quality control, yield forecasting, and the policy that decides who benefits from all of it.
Dr. Maryna Kuzmenko is an AI in agriculture educator, author, and speaker who works at exactly that intersection — technical innovation, public policy, and commercial viability. The throughline of this work is human-first: technology should widen access for smallholders and specialists alike, not just optimise the largest operations.
AI in Agriculture FAQ
What is AI in agriculture?
AI in agriculture is the use of machine learning, computer vision, and data systems across farming and the agrifood chain — including precision agriculture, autonomous machinery, post-harvest quality control, yield forecasting, and supply-chain optimisation.
Is the AI in Agriculture course free?
Yes. AI in Agriculture: Practical Introductory Course is free to enrol on aiinagriculture.org: 15 video lessons (1h 14m) and 8 quizzes, marked server-side, with a certificate anyone can verify. No technical background is required. 80:20, the monthly report, is £1 a month by subscription.
Who is Dr. Maryna Kuzmenko?
Dr. Maryna Kuzmenko is a UK-based AI in agriculture educator, author, and speaker, and a LinkedIn Top Voice on the subject. She teaches a course on AI in agriculture reaching 3.4K+ students across 129 countries, and wrote The Precision Vineyard, a grower's field guide to AI, sensors and robotics. She won the Innovate UK Women in Innovation Award 2026 for MooMore, which detects inflammation in dairy cows before lameness becomes visible.
What are the main applications of AI in agriculture?
The most established applications are precision agriculture, computer-vision quality control for produce and nursery stock, predictive analytics for yield and risk, autonomous machinery, and decision support that helps growers reduce waste while improving output.
Where can I learn about AI in agriculture?
Start with the free course on aiinagriculture.org, then subscribe to 80:20 for a monthly read on what changed. You can also follow the AI in Agriculture newsletter on LinkedIn, watch explainers on YouTube, or read The Precision Vineyard. For organisations, a guest lecture or workshop is the usual route.
Has Maryna Kuzmenko written a book on AI in agriculture?
Yes. She writes the AI in Agriculture series: The Precision Vineyard: A Grower's Field Guide to AI, Sensors and Robotics (book 1) covers what to adopt, what to skip, and what it pays back in viticulture, and Seed Quality Control (book 2) is a practical guide to imaging and automation in vegetable seed. She also wrote Vertical Farming: A Guide for Growing Minds. See the books page.
How can I book Maryna to speak on AI in agriculture?
Visit the speaking page to see signature topics and formats, then use the contact page to check availability for your event.