DEV Community: Adewumi Israel

Why Farmers Keep Rejecting AgriTech — And It Has Nothing To Do With The Technology

Adewumi Israel — Sun, 26 Apr 2026 05:25:06 +0000

The problem nobody in agritech is talking about enough.
I have spent the last two years studying agritech innovations from Oman — watching how technology is applied in desert environments and asking one question repeatedly.
Why are adoption rates for crop protection and precision farming technology still below 20 percent in places that matter most — when the solutions clearly work?
The answer I keep arriving at is not what most founders expect to hear.

Three problems stand between a farmer and profit.

Before I explain the adoption problem, you need to understand the full picture of what a farmer is carrying every single season.
**
Problem 1 — Labour**
Clearing land can be done by a tractor. But planting 1,000 banana suckers requires human hands. Finding reliable farm labour is one of the biggest operational headaches a smallholder farmer carries.
This problem is real. But farmers are managing it. They have developed workarounds across generations. It is not the problem that kills the most dreams.

Problem 2 — Crop Survival
Soil sensors. Smart irrigation. AI driven crop monitoring. Disease detection apps. This is where most agritech investment is flowing right now — and real progress is happening here.
Plantix delivers AI disease diagnosis to farmers with a basic smartphone in seconds. AVIX laser deterrents protect rice fields from bird invasions 24 hours a day without human presence. PICS hermetic storage bags eliminate post-harvest losses by up to 100 percent for major pests.
The technology works. The founders building it are real. The results are documented.
This is the problem agritech is solving. And solving it well.

Problem 3 — Market Access
This is the problem that kills the most dreams. And it is the one getting the least attention.
Here is what most agritech founders do not fully account for.
Before a single crop is sold — the farmer is already in debt.
Fertilizer. Weed clearing chemicals. Pest control. Land preparation. Labour. Every season starts with cost before it starts with hope. A smallholder farmer in Nigeria, Kenya or Indonesia is carrying real financial weight from the moment they put a seed in the ground.
Now you want to introduce a drone to that farmer.
He will look at you and smile. Because in his mind the real question is not whether the drone works. The question is — who is going to buy what the drone helped him grow?
I planted yam once expecting to sell the harvest to fund a project. The crop did not fail. The market was not there when I needed it.

I have watched this pattern repeat across farming communities in Nigeria. A farmer works an entire season, produces well, then watches the value disappear because there is nowhere to sell at the right time and the right price.

A farm owner here in Oman said something that stayed with me.
He said the second poorest person in the world is a farmer.
Because the moment a farmer cannot sell at the right time — they sell at any price. Without calculating profit. Without calculating loss. Just to move the harvest.

The adoption problem explained.
When a founder arrives in a farming community with a precision technology product — a soil sensor, a drone service, an AI advisory app — they are arriving in a community where the farmer has already calculated his risk exposure very carefully.
He is not saying no to the technology because it does not work. He is saying no because he cannot afford another cost that leads nowhere.

If the harvest has no market — the sensor that helped him grow a better harvest has only added to his loss. He spent money on inputs. He spent time on adoption. And he still could not sell at a price that covered any of it.
This is rational behaviour. Not resistance to technology.
What this means for SaaS founders building in agritech.

The most important insight I want to leave with every founder building in this space is this.
Your product does not exist in isolation. It exists inside a farming economy where market access determines whether any other investment — including your product — makes financial sense to the farmer.

If you are building precision farming tools, crop monitoring systems or agricultural AI — the most powerful thing you can do alongside your core product is connect your users to market infrastructure. Offtaker relationships. Cooperative networks. Price transparency platforms. Digital marketplaces that show the farmer what buyers are paying before they decide what to plant.

Solve market access and every solution you build becomes easier to sell.
Without it — technology is just another cost a farmer cannot afford to trust.

The opportunity.
This is also where I see one of the most significant untapped opportunities in agritech SaaS right now.
The founders who build seriously in the market access layer — platforms that connect smallholder farmers to verified buyers, provide real-time market price data and help farmers plan what to grow based on what the market actually needs — are building infrastructure that makes every other agritech solution more adoptable.
That is not a small opportunity.
Which of these three problems are you building for?

Adewumi Israel is an Agri-Tech Market Intelligence Writer and founder of Nexus Content Studio. He writes market intelligence reports,serves as a copywriter
and content strategy for agritech founders globally. Visit kayode-writer.github.io

90 Percent of the Crop Was Gone. The Technology to Prevent It Already Existed.

Adewumi Israel — Mon, 20 Apr 2026 13:55:48 +0000

A few days ago I was standing on a farm with representatives from the Oman Ministry of Agriculture.
They had come with tools and expertise — collecting soil and water samples to assess whether the land was suitable for farming. Official protocol. Proper process.
I was looking at something else entirely.
Watermelons were scattered across the ground. Not harvested. Not sold. Just lying there — the evidence of a season that had already failed before anyone had officially measured it.
Despite multiple fertilizer applications. Despite a functioning irrigation system. Despite the presence of agricultural officials who knew exactly what they were doing — only about 10 percent of the watermelon crop was viable.
Ninety percent of the effort. Ninety percent of the resources. Gone.

The Question That Stopped Me
One of the ministry representatives turned to me and asked why this kept happening.
Not just on this farm. On farms like this one, across the region, season after season, investment after investment — the same result.
I told him the truth.
Having a farm engineer is only 20 percent of the solution.
Without a precision farming system managing the soil data, the irrigation cycles, and the nutrient levels in real time — you will keep arriving at the same destination no matter how much you invest in getting there differently.
The soil in this region does not respond to general farming methods. It never has. It requires precision management to be profitable. That is not an opinion. That is what the ground was showing us that morning.

The Technology Already Exists. It Is Just Not Here.
This is the part that stays with me long after I leave a farm like that one.
The precision farming technology that could have protected that watermelon crop already exists. It is not theoretical. It is not in development. It is operating right now — on farms in the United Kingdom, the United States, and Australia.
Soil sensors that monitor nutrient levels continuously. Real-time irrigation management systems driven by actual field data, not estimates. AI-powered platforms that tell a farmer exactly what the ground needs before a crop begins to show signs of stress.
The tools are built. They are tested. They are documented with years of results.
They just have not reached the farmers who need them most.
This is not a technology problem. It is a distribution and visibility problem. The founders building these systems are focused on the markets they can already see. The markets that cannot yet see them are losing entire seasons while the solution sits in a startup on another continent.

What This Means for Founders and Investors
I have spent two years writing about this pattern — not just in crop farming, but across poultry, livestock, and agri-tech broadly. The story is consistent whether you are looking at avian influenza losses in Nigeria, African Swine Fever devastation in Vietnam, or a watermelon field in Oman where nobody could explain why the crop kept failing.
The loss is preventable. The solution exists. The distance between the two is a communication and market access problem — and that is a solvable problem.
To the founders building precision agriculture systems:
Your solution is needed in Oman. Across the Gulf. Across Africa. Across every market where farmers are watching 90 percent of their crop disappear while the answer to their problem is already proven and deployable somewhere else in the world.
The question is not whether your technology works. The question is whether the farmer who needs it most will ever encounter it.
To the investors evaluating where to fund next:
The farmer standing in that field in Oman was not asking for charity. He was asking for a system that worked. The market that represents is not a risk story. It is a demand story. Protein consumption across the Gulf and Africa is growing faster than existing supply can meet it. The farmers trying to close that supply gap are losing resources every season to problems that precision technology has already solved elsewhere.
Funding distribution into these markets is not backing a product. It is backing the end of a very expensive, very preventable cycle of loss.

What I Document
I write market intelligence for agri-tech founders and investors who are serious about reaching the markets where the demand is greatest, the competition is thinnest, and the impact of arriving early compounds over time.
The pattern I described in this article — the one I witnessed on that farm in Oman — is the same pattern documented across crop farming, poultry, and livestock in my recently published market intelligence playbook.
If you are building in precision agriculture or investing in emerging market agri-tech, the full playbook is here:
The $70 Billion Harvest Gamble — A Market Intelligence Report for Agri-Tech Founders
The farmers cannot wait for the next season to try again.

Adewumi Israel is an Agri-Tech Market Intelligence Writer and Google Ads Search Certified strategist. He is the founder of Nexus Content Studio, a content and market intelligence practice for agri-tech founders expanding into emerging markets.
Connect on LinkedIn: linkedin.com/in/adewumiisrael

What Developers Miss When Building for the Field: Lessons from Agri-Tech

Adewumi Israel — Tue, 14 Apr 2026 13:59:02 +0000

As a ghostwriter and market intelligence writer working in agri-tech, I’ve spent a lot of time translating technical ideas for founders, developers, and—most importantly—their end users.

One frustration I see again and again:
Tech teams often design for the office, not the field.

I’ve worked with farmers in Nigeria and Oman who were handed “innovative” tools built for stable internet, desktop workflows, and hours of training time. But their reality? Patchy connectivity, tight schedules, and the need for instant, actionable insights—sometimes from a dusty phone in the middle of a field.

The issue isn’t that these users are slow to adopt new tools or don’t want change. The real problem is that most software is built by teams who haven’t experienced what it’s like to work in the field.

Takeaways for Developers:

Get to know your real users—visit their workplace, learn their daily pain points.
Build for their constraints, not your assumptions.
Don’t just ship features; explain the “why” and “how” in language they trust.
As someone who bridges the gap between technical and field perspectives, I believe the best tech stories—and the best products—come from listening first, building second, and telling the story in a way that actually resonates.

Have you ever worked on a project where the real-world use case changed your technical approach? What did you learn?