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Farmers Don’t Need More Data. They Need to Know Which Cow Needs Attention.

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  • Farmers Don’t Need More Data. They Need to Know Which Cow Needs Attention.
  • Sekama Can
  • October 27, 2026

When Sekama recently brought together University of Calgary engineering students and Ontario dairy farmer Steve Veldman, one idea stood out clearly:

A good livestock monitoring system should not overwhelm the farmer with normal information. It should help identify the animal that may need attention.

Steve has many years of experience managing dairy cattle and using modern farm technologies. On his farm, monitoring systems support decisions around animal management, milking, feeding and breeding.

The lesson is simple: technology is most useful when it helps the farmer decide what deserves attention.

Every cow has patterns in how she moves, eats, rests and behaves. Changes in those patterns can sometimes tell the farmer that something may be happening.

The important question is not simply: How much data can we collect?

It is: What has changed, and does the farmer need to look more closely?

Breeding is one practical example. Recognizing heat at the right time can be important for farmers using artificial insemination or working to improve herd genetics. Missing the right window can mean additional time, feed and breeding costs.

This is why farmer experience matters when developing livestock technology.

Steve also emphasized that trust develops over time. When technology consistently helps farmers focus their attention on the right animals, they begin to rely on it. When it produces too many unnecessary alerts, that trust can disappear quickly.

For Sekama, these conversations are helping us better understand what useful livestock technology should look like in practice, particularly as we explore solutions appropriate for African farming conditions.

The goal is not more information for its own sake.

It is better information at the right time.

Technology watches. Farmers decide.

This version still gives Ugandan farmers something genuinely useful to discuss, while revealing very little about how Sekama intends to engineer the intelligence behind it.

I would actually prefer this as the public article and keep the more detailed version as an internal/board/investor insight note. That gives you two levels of disclosure instead of trying to make one document serve both audiences.

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