A pilot ends with a positive report, a satisfied supplier and a slide that says "proof of concept validated". Eighteen months later, the technology is used by the same three farms that hosted the trial, and nowhere else. This pattern is common enough in agriculture that it deserves a name of its own: the pilot-to-adoption gap.
Agriculture does not lack pilots
Cooperatives, producer groups and agricultural institutions rarely struggle to find something to test. Demonstration projects, research trials, startup pilots and publicly funded innovation programmes arrive constantly, often several at once. Every season brings a new invitation to try a sensor, a platform, a biological input or a piece of equipment on a handful of plots.
The result is an organisation with a long history of pilots and a much shorter list of technologies that ever moved beyond them. Activity is not the problem. What happens after the activity is.
Technical success is not the same as adoption
A pilot is designed to answer a narrow question: does the technology function as intended, under the conditions in which it was tested? That is a legitimate and necessary question, but it is not the same question as whether the technology becomes something farmers actually want to keep using once the novelty, the attention and the support wear off.
A tool can produce encouraging data and still fail to become practical, affordable or convenient enough for daily use. The gap between "it worked in the trial" and "people kept using it" is where most promising technologies quietly disappear, and it is a large part of why choosing the right AgTech solution in the first place is so difficult: a pilot answers a technical question, not the broader question of long-term fit.
Pilot participants are not always representative
The farms and farmers who take part in a pilot are rarely a random sample of the wider membership. They tend to be early adopters, technically curious, better resourced, or already engaged with the organisation's innovation activities. Some are selected precisely because they are more likely to succeed, which makes for an encouraging final report but tells the organisation little about how the technology would perform across a more typical, more varied population.
A cooperative testing a new irrigation tool with five motivated members who already have reliable connectivity and available labour is not really testing whether the tool suits the average member. It is testing whether the tool suits an unusually favourable case.
Exceptional pilot conditions disappear after the project
Pilots are, by design, supported in ways that ordinary operations are not. A supplier's technical staff visit regularly. Training is delivered in person, sometimes repeatedly. Funding covers equipment, and sometimes covers the time farmers spend learning the new practice. A dedicated project coordinator follows up on problems within days rather than weeks.
None of this is unreasonable during a trial. But when the project ends, the coordinator moves to the next initiative, the supplier's attention shifts to the next prospect, and the funding line closes. The technology that performed well under exceptional support is now expected to perform under ordinary conditions, with ordinary staffing, and that is a very different test.
Economics become less certain outside the pilot
A pilot's economics are usually calculated on a small, controlled scale: a handful of plots, a short time horizon, and costs that were partly or fully subsidised. Extending those numbers to dozens or hundreds of farms, across different soils, different equipment and different market conditions, is a different exercise entirely.
Costs that looked negligible in the pilot can become significant at scale. Benefits that looked consistent on a few well-managed plots can become variable once conditions and farmer practices diversify. Assumptions about maintenance, replacement, training time or ongoing support that were quietly absorbed during the pilot need to be paid for by someone once it ends. None of this means the technology is a bad investment. It means the pilot rarely answers the economic question that a wider rollout actually depends on.
The transition from pilot to deployment often has no owner
A pilot typically has a clear sponsor: an innovation team, a research partnership, or a specific project budget. Scaling it up is a different kind of decision, and it is often unclear who is supposed to make it. The innovation team that ran the trial may not have a mandate, or a budget, to manage a full rollout. The technical or commercial teams who would need to operationalise it were not necessarily involved in the pilot and may not feel ownership over its results. Sustainability or management teams may only hear about the pilot once it is already over.
Without a named owner for the decision to scale, promising results simply sit in a report. Nobody is against moving forward. Nobody is specifically responsible for making it happen, either.
Farmers experience pilot fatigue
From a farmer's perspective, a pilot is a request: try this new practice, spend time learning it, adjust routines around it, and share feedback. When that request is followed by silence, whether the technology quietly disappears or the organisation simply moves on to the next initiative, the farmer draws a reasonable conclusion. Participation did not lead anywhere.
Repeated often enough, this produces a group of farmers who are harder to enrol in the next pilot, more skeptical of the next promising technology, and less inclined to invest effort in feedback that seems to disappear into a report nobody acts on. This dynamic is closely tied to the broader difficulty many organisations have with sustaining farmer engagement over time, and pilot fatigue is one of its most direct causes.
Knowledge from previous pilots is frequently lost
Even when a pilot generates useful insight, that insight does not always survive long enough to inform the next decision. The staff member who ran the trial moves to a different role or a different organisation. The final report sits in a shared drive that the next project team never opens. Farmer feedback was collected informally, in conversations and site visits, and was never written down in a form anyone else can use. Results from a similar pilot run by a different department three years earlier are simply unknown to the team running this one.
The organisation ends up re-learning the same lessons, sometimes with the same technology, sometimes with a close variant of it, without realising it has effectively run this experiment before. Part of what makes this hard to notice is that measuring adoption of agricultural innovation is itself genuinely difficult: without a clear way to track what happened after a pilot, there is little to compare against the next time a similar opportunity appears.
Questions agricultural organisations should be asking
Before launching the next pilot, and before judging the results of the last one, a few open questions are usually more useful than another framework:
- What specific decision was this pilot meant to inform, and has that decision actually been made?
- Who was expected to act on the results, and were they involved from the start?
- How representative were the participants and conditions of the wider membership this would eventually need to serve?
- What support, funding or attention existed during the pilot that will not exist afterwards?
- What actually changed, in practice, once the pilot officially ended?
- Of the farmers who were interested, how many continued using the technology, how many stopped, and does anyone know why?
- Where is the evidence and feedback from previous, similar pilots, and has anyone gone back to look at it?
The gap is organisational, not just technical
The distance between a successful pilot and widespread adoption is rarely explained by the technology alone. It reflects whether an organisation maintains continuity across projects, whether it builds and keeps the trust of the farmers it asks to participate, whether the economics were ever tested under realistic conditions, and whether anyone is actually accountable for what happens after the pilot ends.
Treating the pilot-to-adoption gap as a technology problem tends to produce more pilots. Treating it as an organisational one tends to produce fewer, better decisions about which of them deserve to go further.
Is your organisation facing this challenge?
Vitto works with agricultural organisations confronting the complexity of innovation discovery, coordination and adoption. Contact our team to discuss the challenges affecting your organisation, via this link.