Kelsey Lennox, Ethan Ringelberg win 4-H scholarships

Aug 29, 2023

OTTAWA — Ontario’s Kelsey Lennox and Ethan Ringelberg are among the 15 4-H members from across Canada to win scholarships valued at $1,000 each. The scholarships, to be used toward their post-secondary education in a degree, certificate, or trade-based program for the upcoming academic year, are sponsored by John Deere Canada.

“We’re thankful to John Deere Canada for their continued commitment in helping 4-H youth members grow and become strong leaders for tomorrow,” shared Shannon Benner, CEO of 4-H Canada. “Scholarships like this help us achieve our goal of equipping our youth leaders with the leadership skills, confidence, and resiliency to achieve their goals.”

Together, 4-H Canada and John Deere Canada are committed to providing youth with the tools and guidance to lay the foundation for a life-long love of learning. Our ongoing partnership continues to focus on the 4-H spirit of leadership, responsibility, and a deep sense of community.

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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.