Dr. Maryna Kuzmenko

The lifetime of my YouTube channel in screenshots.
I registered the channel on the 5th of November 2020, but it took ages to understand what I should do on YouTube...
However, the actual start of my YouTube channel was provoked by a conversation.

Someone asked me in 2025:
“Maryna, are you on YouTube?”

I answered:
“No”

And simultaneously asked myself silently:
“But why?”

Since then, I haven’t been watching YouTube.
I’ve been creating it 🤗

I have some interesting plans ahead.
It will be my pleasure to share them with you soon 🤝

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2 days ago | [YT] | 5

Dr. Maryna Kuzmenko

Spring is in full swing, but I’m busy thinking about a real problem:
How to put an elephant into the room?
The elephant — as usual — is AI in agriculture 😉



And my room is just 15 minutes of speaking time at one of the most promising learning events in Turkey 🇹🇷



The Kırşehir Ahi Evran University 1st Artificial Intelligence Days in Mucur, Kırşehir, is also open to global participants who want to get insights into AI across different directions.


And agriculture is one of the priorities 👍

So now I have the following directions for using artificial intelligence in crop production, considering some of the top-priority crops in Turkey:



👉 AI vs. Tuta absoluta: How Computer Vision Is Changing the Fight Against Tomato Leafminer
📆 March 2026
🔗 lnkd.in/erxajJFq


👉 AI for Grains: What’s “hot” in 2026 for wheat kernel quality control?

📆 March 2026
🔗 lnkd.in/eHQ2TA9h


👉 AI for Sugar Beet: Digital Monitoring of Salt Stress Responses
📆 March 2026
🔗 lnkd.in/evQxnAW4


👉 Corn: Predicting Critical Nitrogen Dilution Curve
📆 April 2026
🔗 lnkd.in/eZi9syd5


👉 Hazelnuts (Cobnuts): Drone-Based Tree-Level Health Monitoring
📆 January 2026
🔗 lnkd.in/eHR8FKSX


👉 Onion: How Drones and Machine Learning Are Changing Yield Prediction
📆 April 2026
🔗 lnkd.in/en2nxnjd


👉 Citrus: Detection of Leaf and Fruit Diseases
📆 April 2025
🔗 lnkd.in/ezUA2pBC


👉 Grapes: Non-Invasive Estimation of Ripeness and Sensory Quality
📆 June 2025
🔗 lnkd.in/erCSGgCr


👉 Olives: Yield Prediction on Trees with Deep Learning
📆 May 2025
🔗 lnkd.in/em57vd8R


👉 Potato: Monitoring Storage Microclimates to Prevent Late Blight Losses
📆 January 2026
🔗 lnkd.in/eQRMY3HC


As you can see, the list is long.

But I have already discovered the most practical way to put this AI elephant into my 15-minute presentation on Wednesday, 6th May, between 8:00–10:00 BST👌

It is:
1. Open the Zoom link.
2. Put my AI-in-phenotyping elephant into the room.
3. Deliver the presentation, answer the questions.
4. Have a great time with the global audience of the 1st Artificial Intelligence Days 🌱
5. Say “thank you” to Ömer Ertuğrul for the opportunity 🙏


Are you with me?

Register here: lnkd.in/eV-HWw2v


Participation is free of charge, but full of benefits (including certificates) 🎓🌱📚

#aiinagriculture #turkey #onlineconference

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5 days ago | [YT] | 17

Dr. Maryna Kuzmenko

Just in case - if you wish to hear AI jokes about tractor, join me today :)
I cannot promise lots of fun (these AI agents are so unpredictable!) but as we've seen last time - some basic sense of humour is still present 🤣

#IAskedAI

1 week ago | [YT] | 1

Dr. Maryna Kuzmenko

Finally, we’ve reached that stage where I am able to livestream with video and sound simultaneously 😂

Yes, muted livestreams perhaps have people who love them, but I’m not one of them, definitely :)

The good news no. 2

After yesterday’s 38 minutes of searching for the right method to share the screen in my new livestream environment, I can confirm that finally, I managed to find it 😁

It happened 5 minutes after I finished the livestream yesterday. And this means that today we will have not just video and sound but also, nicely designed interfaces of all my AI assistants.

So I invite you to have some agri-fun together.

Join me at 8.00 PM British Summer Time.

We will continue something we started yesterday but didn’t have a chance to finish 👍🤝🚀

See you later today!

1 week ago | [YT] | 2

Dr. Maryna Kuzmenko

Friday, 24 April 2026, 1.00 - 2.00PM (GMT+1)



This time, we will not only experiment with a new LinkedIn livestream method.

We will also keep all fingers crossed, touch wood, wait for the stars to align properly, ask pink fluffy unicorn to jump on the rainbow, and, as expected, do a traditional Friday lettuce dance... JUST TO MAKE IT happen 🥬🤗🥬



And if you’ve been to my previous three livestreams, then you probably understand why I’ve taken all possible measures to ensure better livestream quality this time.

I’ve worked on the delay, sound echo, and showing the mobile screen in real time.



That’s why our agenda for tomorrow is:

1. Housekeeping points
2. Networking & other notes
3. Presentation of the use case (measuring leaves of lettuce grown in the greenhouse)
4. Leaf Area Measurement demo
5. Sharing profiles of lettuce people you need to know
6. Questions and Answers



As usual, a few extras:

👉 the recording of the LinkedIn livestream from Tuesday, 21 April, is available on LinkedIn - link in the comment
👉 if you are interested in different livestreams where I compare the performance of AI assistants for agricultural tasks, they are available on YouTube - link in the comment
👉 your questions, ideas, and suggestions are more than welcome... in the comments 🤗👇🤝



My lettuce, Petiole Pro ( ‪@petiolepro‬) and I are looking forward to seeing you tomorrow 🥬

#lettuce
#linkedinlivestream
#plantphenotyping

2 weeks ago | [YT] | 2

Dr. Maryna Kuzmenko

Tomorrow, on Tuesday, 14 April 2026, at 12.00 PM GMT, there is a scheduled 30-min livestream to discuss the exceptionally interesting story of how drones and smartphones help monitor canopy growth in the beautiful hills of Fujian Province in China.

It will be an interesting experiment: YouTube Live and LinkedIn Live simultaneously.



Ask your questions.
And, please, join our tea conversation with a cup of tea 🤗🍵👍

See you then.



‪@petiolepro‬ Petiole Pro
#tea #drmarynakuzmenko #canopy

3 weeks ago | [YT] | 4

Dr. Maryna Kuzmenko

How to use ChatGPT in agriculture?
Easy 👍🏼
Responsibly 😉
Productively 🚀

All three answers are correct and to make them happen in your own agricultural practice - check the latest updates in the YouTube Course on how to use ChatGPT in agriculture.

In this training, we will look at 25 practical prompts for farmers, agronomists, farm managers, agri-business professionals, students, and researchers.

Check the tab "Courses" and join me today at 8.00PM GMT when we will try the prompt number 1 for Farming Seasonal Planning in different AI assistants in livestream mode together 🫱🏼‍🫲🏻🌱🌍

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3 weeks ago | [YT] | 7

Dr. Maryna Kuzmenko

Regenerative agriculture & agritech at the ‪@Innovateuk‬ & ‪@IUK_Connect‬ Annual Showcase.

Field notes.





🌱





For quite a long time, regenerative agriculture was often presented almost like a philosophy, and agritech was often presented almost like a product catalogue. But here, the two were meeting in a much more grounded place: practical adoption.

ADOPT grants are exactly about this.





🌱





Soil and growing media were a strong part of the conversation. Biochar now is not a cool word to know, but something linked to soil improvement, carbon, compliance, and practical farm use.



Peat-free growing media also stood out as a very real topic, especially because re-united with Alicja SilviBio :)





🌱





Crops also told an interesting story.

Nut farming appeared as a regenerative and long-term resilience strategy, especially through the example of UK-grown hazelnuts and walnuts, agroforestry, and the creation of wildlife habitats alongside food production.



I discussed buckwheat with the team of Waitrose farm (one of their own-baked breads includes seeds of this useful alternative crop + we have some nice buckwheat news at ‪@petiolepro‬ Petiole Pro 🤩).





There are also plenty of interest to neglected and underutilised crops that bring not just novelty, but resilience for farms.





🌱





Biodiversity.

The need has appeared in recent years, and now we can speak about a clear niche of AI-powered biodiversity monitoring, using cameras and sensors to track presence, sounds, and other signs of life generated by biodiversity populations. Plus, this direction is very active on the international scene as well!





🌱





Water was another major theme. Filters for water streams, water quality, water availability, and, critically importantly, improvements in nutrient and nitrogen cycling all came up - because eutrophication is the elephant in the room, making everyone uncomfortable.





🌱





Carbon credits are not money from air, but a real revenue from soil, plants, data, and verified practice change.





🌱





Sometimes agritech is hungry and goes to food :).

Apart from eating the walnuts and oats and drinking the beetroot juice, I was impressed by industry-level work by Scottish researchers on substituting palm oil for bakery applications. Equally interesting was cocoa substitution based on fermentation of cocoa shells, which looked and tasted like a serious answer to headaches in sustainability and supply chain pressure.





🌱





Music as a part of regenerative agriculture?

Yes, absolutely. Speak to amazing family-owned Glastonbury Nut Farm - they can tell you real stories about agritech, regenag plus the well known annual festival, which runs next to their field





🌱





Being too optimistic about life is not always a good thing.

Because reality can hit hard.

But after this event, I felt definitely better than before it :).





There is the promise in the agrifood industry, based on the long-term decisions already made by the UK farmers.



Thank you for a dose of inspiration.



#innovateuk #agrifood #drmarynakuzmenko

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1 month ago | [YT] | 12

Dr. Maryna Kuzmenko

What happened yesterday at the ‪@Innovateuk‬ & ‪@IUK_Connect‬ Agrifood Annual Showcase (RegenAg + Agritech) I will write about on Monday.



For today — just a few moments so you can feel the vibes of our nice conversations.

Indeed, it was not about pitching and presenting, but about checking how the adoption of tech and regenag is actually going on real farms.

I'm so glad that ‪@petiolepro‬ was an active participant!



I was lucky to ask my three questions during the panels, and I also got my one million other questions answered in the demonstration area and networking sessions 🤩. Some of the hottest discussions happened in the queue for lunch, at the phone charging area, and with some ladies in our traditional queue to the well-known facility :).

The range of questions included, but was not limited to: biochar, biodiversity net gain, regenerative agrivoltaics, quality control of nuts-in-shell using hyperspectral imagery, stomata count (unexpectedly!), soil monitoring, water reservoirs, carbon capture... to name just a few.



My half of a day was spent with SilviBio because, as a lettuce-addicted person, I can't survive without real plants - check the video, their leafy greens + peat-free growing media were there :).



Anyway, I'm really glad that:
1. regenerative agriculture and agtech adoption are speeding up in the UK on a practical level,
2. ADOPT grants are in full swing, and
3. AI is here to help with more accurate computer vision & deep learning models for quality control, plant phenotyping and everything in-betweens and beyond.


Huge thank you to Innovate UK & Innovate UK Business Connect Agrifood Team, for the productive day in Birmingham 👍🏼🚀🌱



#drmarynakuzmenko #innovateuk #agrifood

1 month ago | [YT] | 1

Dr. Maryna Kuzmenko

Today, we will speak about AI in plant science.
I have two important points.



First, and in AI it is always first — we are starting with humans.
Because, surprisingly, machine learning models are nothing in comparison with real brains, giants in the field, and expert intuition.





I recently spoke about this with Dr Lidia Babenko — a plant scientist with deep practical experience, including work in controlled environment agriculture and vertical farming.





And, long story short (because we spent a good hour in conversation about how micro-changes in experiment design can lead either to success or to the inexperienced failure of a project 😉):





No matter whether you work in industry or academia, the reality is simple — AI brings a boost only when a plant expert looks at the output and says: this will work and this will not.





Because in plant science, especially in plant tissue culture, you are not just following protocols. You are dealing with a living system that:

-> reacts before you see it

-> fails before you measure it

-> decides outcomes based on factors you did not even record



So a perfectly written MS-based medium, a clean auxin/cytokinin ratio, and even a well-structured experimental plan can still bring no regeneration.



Why? 🤔

Because plants are not equations.

They are context-dependent systems.

And this is where intuition appears.

It is something like compressed experience acting instantly.



With Lidia we spoke about real examples of lab work as well as the hype around AI-generated recipes.



Some of them are correct on paper, but wrong for the selected species. Others are simply AI imagination 😂



Because the explant will not respond or the design ignores something critical.

But with 30+ years of experience, Lidia said:

“You cannot always explain it in one sentence. But you know why something will work — and it actually works”



Lidia is interested in working on new projects and would be a valuable member of your team, with the wealth of her knowledge and experience 🤝



And I thought that was the main point about AI in plant science and the role of experts in it.





But three days ago, something happened.

This is my point number two for today.



The preprint on PlantScience.ai was published.

It's about a plant-specific virtual system built to solve a key problem.



Plant literature is growing fast.

It's highly fragmented & is full of specialised terms that general LLMs often misunderstand or cite poorly.



The system built a structured plant knowledge graph from open literature, to answer questions.





It was tested on:

- 1,770 questions across

- 19 plant-science categories, with evaluation by

- 54 domain experts from the John Innes Centre & The Sainsbury Laboratory consortium,

- plus an AI judge 🤩





PlantScience.ai outperformed general models on many queries, reaching 82.3% vs Gemini Pro, 87.6% vs Opus 4.5 & 73.5% vs GPT-5 in expert comparisons.

This means more news is coming soon.



What's your experience of using AI for #plantscience? 🌱

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1 month ago (edited) | [YT] | 8