The Agribusiness Edge

Table of Contents

• Fields & Frontiers

• New In Ag-Tech

• Tending Dreams

• More Fields & Frontiers

• Till You Laugh

Fields & Frontiers

Open Up Your AI Toolbox “The Founder’s AI Stack: If you have been with NetWorth Farmer long enough, you have realised that technology in farming is your secret weapon. "The Founder's AI Stack: Series 1" is a great way to improve your startup game. This resource provides four AI tools that can function as a $10,000 per month enterprise. With the stack you get an investment deck like Sequoia’s, an investor message, a LinkedIn engine, and SEO FAQs all in one easy-to-use package. That’s a lot of savings on marketing, an easier way to create content and you can be better prepared for investor meetings, all without hiring a huge team or investing lots of money. With the extra money, you could finally play around with some ideas through Research and Development, trial plots and even upgrade your value proposition for European AgTech companies. Looking to learn how to apply AI without all the technical jargon? Don’t sleep on this, read the whole breakdown here. It’s time to stack better.

The End of the Guessing Game: For years, AgTech has operated in a data vacuum. We’ve had plenty of "hype," but very little hard evidence on which farmers are actually adopting technologies. A significant shift occurred. Industry leaders like Matthew Pryor are highlighting a move away from vanity metrics toward a new era of Adoption Transparency. Until now, nobody truly knew the market share of specific digital tools. This "guessing game" has hindered strategic investment and left farmers skeptical. By focusing on evidence-based adoption, the industry is finally aligning behind ROI rather than just innovation for innovation’s sake. For European operators, this means better benchmarking and clearer paths to scale. The era of blind faith in AgTech is over; the era of proven performance has begun.

The Consolidation of Intelligence: Mid last year, John Deere doubled down on its digital supremacy by acquiring Sentera, a Minnesota-based leader in high-resolution crop imagery and sensor technology. This move was followed by a strategic Q1 signal: the "heavy iron" era is being superseded by a race for the farm’s operating system. The partnership with Hello Robot and the focus on autonomous aerial systems, suggests that the world’s largest machinery OEM no longer views drones as a niche hobbyist tool, but as a core component of the "Production System". For European AgTech innovators, this is a double-edged sword. On one hand, it validates the market for autonomous aerial application and high-resolution crop monitoring at scale. On the other, it increases the pressure on local tech firms to ensure their software is interoperable with the Deere ecosystem. It is a race for the "operating system" of the farm. European startups specialising in swarm intelligence or bespoke sensors must now decide whether to compete head-on or position themselves as essential "plug-and-play" partners for these global platforms. As the giants take to the skies, will the value in European AgTech shift from the hardware itself to the proprietary algorithms that tell the drones exactly where to fly?

Ukraine Is Building Tomorrow's Agribusiness Under Fire: Ukraine’s agriculture sector has seen its margin for error shrink substantially. The crisis in Ukraine, which is still ongoing, has made operational decisions vital – strikes on infrastructure, disrupted export routes, workforce shortages and fluctuating supply markets mean that at every level of production, timing and precision are important. Against this background, one of the major agricultural holdings in Ukraine, KSG Agro, has launched the implementation of the AXIS Decision Intelligence Platform, one of the first implementations of enterprise-grade decision intelligence in the agricultural sector in Eastern Europe. It forms a structured decision layer across production planning, sales strategy and crisis response, so management can move faster, with a clear grasp of downstream consequences.” Ukraine’s agriculture feeds almost 400 million people in 100 countries. It is amazing how fast it is digitising. That it is doing so under active bombing is another story. As the leadership of KSG Agro stated: what we are observing in Ukraine now, businesses constructing more intelligent, more robust operations under unprecedented strain, is what the rest of the world’s agriculture will need to do as volatility becomes the new normal.

New In Ag-Tech

AI Just Learned to Read Plant DNA.

There is a line that keeps coming up in conversations with plant scientists: the problem was never the data, it was the ability to read it. Plants have been telling us everything we need to know in their DNA for millions of years. We just did not have a good enough dictionary. That may be changing.

Eight Years Is Too Long

It usually takes about eight to twelve years to grow a new crop variety, starting from the initial cross to getting it to commercial seed stage. That timeline was already a bit uncomfortable even in a stable climate. With droughts happening more often, heat waves getting more intense, and pests acting unpredictably, it's just not sustainable anymore. Breeders are really working to make sure future harvests are secure, using tools that were designed for a time when things were a bit more predictable.

Living Models, a Franco-American startup that’s been quietly working between Paris and Berkeley, came out of stealth mode in March 2026. They managed to raise $7 million in seed funding, thanks to support from Asterion Ventures, The Galion Project, Kima Ventures, and the University of California, Berkeley.

Reading DNA the Way ChatGPT Reads Text

Living Models' basic concept is fundamentally linguistic. The functional grammar of a genome can be learned by applying the same transformer architecture that drives big language models, which are trained to predict the next word in a sentence, to DNA sequences in order to anticipate the next nucleotide.

Over 60 billion base pairs of genomic data from 43 plant species were used to pre-train their flagship model, BOTANIC. It learns the fundamental biological structure shared by the whole plant world and applies that knowledge to particular breeding questions rather than being trained to recognise a single crop or characteristic. tolerance to drought. resistance against disease. constancy of yield. It is now possible to rate traits computationally in a matter of weeks instead of years of field experiments.

What This Means in the Field

For a plant breeder, this practical shift really matters. These days, figuring out which genetic variants are worth testing usually involves setting up thousands of field plots over several seasons. It's a pretty costly, time-consuming, and weather-reliant process. BOTANIC takes a look at the genome, sorts through the candidates based on their predicted effects on traits, and gives the breeder a handy list of the top targets to consider. So, you still head out to the field, huh? You end up going way less often, and when you do, the odds are way better.

They're putting $7 million into a big compute upgrade, which includes a dedicated 120-GPU NVIDIA B200 cluster. This will help them train much larger models and start branching out from just plant biology into wider genomic areas. We're teaming up with the University of Florida, which has one of the top plant breeding programs out there, to put BOTANIC to work in actual breeding workflows.

The Research Community Gets a Seat at the Table

One of the more interesting choices Living Models has made is to release BOTANIC-0 as an open-weight model, which you can find for free on Hugging Face, along with a published research paper. This isn't just about being nice, opening things up helps speed up validation from outside, builds trust, and brings researchers into the mix. So, what this really means is that a plant scientist at a university in Wageningen or someone working in a public breeding program in Kenya can jump right in and start using and testing the technology, instead of having to wait around for a commercial product to hit the market.

That openness is really important for agriculture, even if it doesn't always hold the same weight in areas like pharmaceutical AI. The farms and breeding programs that really need better tools are usually the ones that have the least money to spend. When a foundation model focused on the plant kingdom is accessible to everyone, it shifts from being a competitive edge to serving as essential infrastructure.

AI Getting Closer to the Real Problems

Living Models is all about a subtle yet significant change in how AI can really impact agriculture. It's not just about improving logistics or looking at satellite images; it's about getting into the core biology of the crops themselves. There's definitely a gap between genomic predictions and what's happening in a farmer's field, and Living Models isn't trying to hide that fact. But the gap is getting smaller. For breeders dealing with a climate that doesn't wait for an eight-year cycle, having a tool that can read plant DNA like a language is essential, not just a nice-to-have. It's past due.

Digital Pasture

Tending Dreams

The Right Moment to Step Forward

She studied art history. Then cultural analysis. Then philosophy. Then, almost as an afterthought, biology. She worked at Artis zoo in Amsterdam, developing a museum dedicated to the relationship between human beings and the natural world. If you had told her then that she would one day be crouching in a no-dig market garden outside Nijmegen, debating with a fungi network about what a tomato plant needs this afternoon, she might have smiled.

Anne van Leeuwen did not grow up dreaming of soil. She grew up dreaming of ideas. The reality is, her journey to the earth was not by accident. It was bound to happen. She’d spent years studying how human beings generate meaning. She simply hadn't located the field where producing meaning really counted.

It Was Never Just a Farm

When Anne and her partner Ricardo Cano arrived at the five hectares of damaged property in Nijmegen that would become Bodemzicht in 2020, half of the soil was barren. Grasshoppers reappeared within weeks. Then came the spider wasps to hunt the grasshoppers. The balance was reconstituted. “I’m still amazed every day at how fast things regenerate,” she says. But what Anne realised, what her odd experience uniquely qualified her to perceive, was that it was not only the soil that needed regeneration. So did the story of farming. She said that centralised food production had made farming a black box: “inaccessible and abstract, which creates misunderstanding and polarization.” She spent years studying how culture shifts, and learned that you can’t fix a system people can’t perceive.

Making the Invisible Visible

So she opened the gates. Weekly farm tours. Chefs in the kitchen receiving direct feedback. On Saturdays, a hundred families come to get vegetable boxes, and some even stay to help. We asked the scientists, artists, and politicians who were invited to live at Bodemzicht to sit quietly with the earth and listen to what it had to say. An artist based in Bangkok would spend his mornings tending to the fields, investigating how the act of touching dirt changed his view of city life. You can't call this a marketing plan. On a philosophical level, this woman holds the view that the power of the imagination is fundamental to the dissemination of information; you can't expect people to care about something as intangible as soil health unless you give them a sense of it.

The Time to Step Up Is Now 
2026 has been named the International Year of the Woman Farmer by the United Nations. The European Commission’s Vision for Agriculture and Food has committed to the creation of a dedicated Women in Farming Platform to boost the visibility of women and equal opportunities throughout Europe. Anne van Leeuwen,  art historian, philosopher, climate farmer, is exactly the kind of person the platform is designed to highlight. Not the farmer who fell into a ready-made mould. The lady who saw a broken system and knew, with the accuracy of a cultural analyst and the patience of a soil builder, that change begins with showing people what is already possible.

More Fields & Frontiers

Brussels Finally Opened Its Wallet: The European Union has eased its state-aid rules, permitting member states to grant emergency assistance of up to €50,000 per enterprise to farmers, hauliers and fishing businesses facing surging fuel and fertiliser costs linked to the Iran conflict and Strait of Hormuz disruptions. Under the Middle East Crisis Temporary State Aid Framework, the EU will subsidise up to 70% of additional costs, with minimum paperwork required for access, meaning businesses will not need to provide detailed fuel receipts to qualify. The important caveat: the framework does not trigger automatic payments. Each member state must design, fund and notify its own support scheme, meaning farmers' access to aid, and how quickly it arrives, will vary significantly by country. Nitrogen fertiliser prices in the EU stood approximately 58% above 2024 averages as of March 2026. The money is available in principle. Whether it reaches farms before the planting season closes depends entirely on how fast your government moves. Check what your member state has activated. The deadline is 31 December 2026.

Insuring the Future, World Bank Study: The World Bank’s latest deep dive into EU agricultural risk management confirms what most of us feel: the current safety nets are fraying. With climate volatility and market swings becoming the "new normal," the study highlights that insurance alone won't cut it. In Spain and Italy, where droughts have battered yields, the focus is shifting from reactive payouts to proactive, data-driven resilience. For the farmer, the next step is diversifying into climate-hardy varieties, the study suggests this "on-farm" mitigation is more sustainable than any subsidy. For policymakers, the move is to simplify the CAP’s risk tools to actually reach smaller holdings. We’ve had the data; now we need the delivery. Explore the full World Bank recommendations and see how your region measures up.

The Country That Wastes Nothing: Most countries use between 40 and 60 per cent of the seafood they capture. The rest gets thrown away. Iceland today uses 90% of every fish – in food, cosmetics, pharmaceuticals and more, a figure that its Ocean Cluster, which calls itself “the Silicon Valley of Cod,” has turned from an afterthought into a national ambition. Thor Salmon, an indoor fish farm at Thorlakshofn in southern Iceland, has been permitted to produce 20,000 tonnes a year and wants to expand to 40,000, combining Iceland’s geothermal energy advantage with land-based aquaculture to eliminate the ecological dangers of open-net sea farming. Iceland’s sustainable approach goes back to 1948, relying on science-based quotas, close monitoring and tight conservation legislation, all set up to safeguard supplies before a crisis forced such measures. For European agricultural and food companies, facing increasing pressures of sustainability rules and supply chain scrutiny, Iceland’s model provides a stark challenge: circularity is not about compliance. It’s a business benefit. The question is not whether we should reduce waste. How much value are you leaving on the table?

Seeds That Listen: Envision some seeds, just below the surface of the earth, not only waiting for the rain to fall, but also listening for the sound of the rain. Engineers from MIT have discovered something quite remarkable: when water droplets hit rice seeds, the gravity-sensing statoliths inside their cells are startled because the seeds can "hear" the impact from the intense underwater pressure waves. An integrated "depth gauge" guarantees survival at ideal planting depths; this audible alarm speeds up germination by 30–40%, but only for seeds that are within 5 cm of the surface. An effect as powerful as the roar of a jet engine was observed when tested on eight thousand seeds that simulated light to heavy storms. Can this change the way farmers work? The blasting of sprinkler systems While deeper seeds astutely disregard the din, "rain noise" has the potential to turbocharge crops. Plants aren't sitting on their hands; rather, they're listening in on the storm and getting ready to erupt. "Dormant" has to be rethought in light of nature's hidden symphony. 

Till You Laugh

Disclaimer

Follow