We lined up some of the top minds in hardware and software at GreenTech Amsterdam for one specific reason: to challenge the old assumption that you have to choose between them.
There’s an assumption that quietly shapes how growers think about technology investment: choosing a robotics solution and choosing an AI software platform are two versions of the same decision. That the greenhouse only has room for one. That at some point, you have to pick a lane.
But there’s a better way to look at it, and a recent conversation at GreenTech Amsterdam made that clearer than ever.
The panel brought together leaders from both sides of the aisle: Rien Kamman and Tobias Platenburg from Source.ag (software/AI), alongside Roel Janssen from eternal.ag and Vratislav Beneš from Fravebot (autonomous hardware).
Instead of aiming for easy agreements, the panel forced an honest look at real-world trade-offs. Ultimately, it showed that comparing hardware to software is a bit of a distraction. The growers who are actually moving the needle aren't making an either-or choice. They're just asking how to get both tools working on the same team.
The misunderstanding starts with confusing what hardware does with what software solves:
What Hardware Does (The Eyes): A robot moving down the rows sees the crop in ways humans can't easily replicate. It detects early signs of stress, measures physical characteristics, and tracks plant development over time. But seeing is not the same as deciding.
What Software Does (The Brain): Raw data sitting in an isolated hardware system doesn't change a decision. Software takes that data – combining climate readings, plant measurements, and operational history – runs it through AI models that simulate plant behavior, forecast yields weeks in advance, and steer decisions like irrigation with precision. That's what turns observation into action.
The Takeaway: Hardware captures the reality of the greenhouse, and software gives that reality meaning.
The integration challenge is real. Getting data from a vision system or harvesting robot into a software layer requires solving tough questions about format, ownership, and timing, standards that the industry is still writing.
But the direction of travel is clear. The growers investing in hardware today are increasingly asking their software providers, "What can you actually do with this data?" And the software companies leading the charge are building for that exact expectation.
If you’re a grower who is curious but cautious, the starting point isn't a massive financial leap into either hardware or software.
Start with a simpler question: What is one decision you make every single week where better data would change what you do?
The answer usually points toward both what to sense and how to analyze what you sense. It’s a hardware and a software answer at the same time.
The panel at GreenTech produced a shared acknowledgment that robots and AI are working on different parts of the very same problem. The grower is in the middle, and the best outcome is the two sides learning to talk to each other.
Are you interested in how Source can assist your greenhouse operations? Contact our expert team here.
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