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NAEDA Announces Election of 4 Regional Directors

Kansas City, MO – The North American Equipment Dealers Association (NAEDA) is pleased to announce the newly elected and re-elected directors for the Canada, Great Lakes, Northeast, and Western Regions.

In May, NAEDA advised members of nominations for one (1) Director position in each region. Voting took place until June 12th, and we are pleased to announce the following directors in each region.

Landis Stankievech, Trochu Motors, Trochu, AB

Great Lakes Region

Jon Castongia, Castongia Tractor, Rensselaer, IN

Northeast Region

Brad Hershey, Hoober, Inc., Intercourse, PA

Western Region

Lance Hancock, King Ranch Ag & Turf, Robstown, TX

Other members of the 2025-26 NAEDA Board of Directors include: Jared Nobbe, Chair (Sydenstricker Nobbe Partners, Waterloo, IL); Steve Hunt, Vice Chair (H&R Agri-Power, Great Lakes Region); Kevin Clark (AKRS Equipment, Iowa Nebraska Region); Wally Butler (Mazergroup, Canada Region); Eric Mason (Mason Machinery, Far West Region); Josh Vines (Allegiant Ag & Turf, Deep South Region); Chad Fossey, (Campbell Tractor, Pacific Northwest Region); Mike Weisenberger (Titan Machinery, North Central Region); Laura Bentley, (Bentley Bros Inc., Northeast Region; and Kyle Fulcher (Midwest Southeastern Region). The officer position elections took place at NAEDA’s Summer Board Meeting held in Chicago, IL.

Source : Farm Equipment

Trending Video

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

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.