Looking Back on the Year that was at SeedMaster

Dec 01, 2022

As the year draws to a close, I find myself looking back at 2022 and the year it was for the SeedMaster team. Once again, we saw fields across Alberta seeded using SeedMaster drills. To keep those drills running in the fields we worked hard with our dealer partners across the province. Recently I was talking with a few of them and wanted to share what they had to say about the year that was.

First off, I was down in High River, Alta. where I met with Jeremy Habart, the territory manager at Alberta AG Centre. They’ve been selling the SeedMaster line for two years now. I’ll let him tell you more about his thoughts on us.

When we first started carrying SeedMaster there was a bit of a learning curve, but the SeedMaster team was there to help us at every step of the way. With all our demos, they would come out and show us how to run the equipment to help our customers. They’re constantly in touch with us to try and make their products better or get our customers’ feedback.

SeedMaster is great to work with, they provide a quality product and are always easy to get a hold of. They seem like they really care not only about our dealership, but the end user as well.

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Video: Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

Plant breeding has long been shaped by snapshots. A walk through a plot. A single set of notes. A yield check at the end of the season. But crops do not grow in moments. They change every day.

In this conversation, Gary Nijak of AerialPLOT explains how continuous crop modeling is changing the way breeders see, measure, and select plants by capturing growth, stress, and recovery across the entire season, not just at isolated points in time.

Nijak breaks down why point-in-time observations can miss critical performance signals, how repeated, season-long data collection removes the human bottleneck in breeding, and what becomes possible when every plot is treated as a living data set. He also explores how continuous modeling allows breeding programs to move beyond vague descriptors and toward measurable, repeatable insights that connect directly to on-farm outcomes.

This conversation explores:

• What continuous crop modeling is and how it works

• Why traditional field observations fall short over a full growing season

• How scale and repeated measurement change breeding decisions

• What “digital twins” of plots mean for selection and performance

• Why data, not hardware, is driving the next shift in breeding innovation As data-driven breeding moves from research into real-world programs, this discussion offers a clear look at how seeing the whole season is reshaping value for breeders, seed companies, and farmers, and why this may be only the beginning.