Farms.com Corn Belt Crop Tour wrap-up event: Part I

Jul 15, 2015

Daryl Patterson of A&L talks about drones

The 4^th annual Farms.com US Corn Belt Crop Tour is over for another year and culminated with a wrap up event at the Penta Tillage manufacturing plant in Glencoe, Ontario.

The event, attended by nearly a hundred farmers, consisted of exhibitors, and speakers who shared their experiences about the tour’s findings and new technology being implemented in agriculture.

One of the technologies growing in popularity is the use of drones/UAV (unmanned aerial vehicles).

“Instead of manually controlling, you draw a box around the field with a Google image,” said Daryl Patterson, Marketing & Technology Manager with A&L Canada. “You tell it what camera you have in there and it plans (the route). You throw the plane in the air and it’s going to go and take pictures.”

The farmers can then use those images to make informed decisions about their farms including fertilizer application and yield potential.

While drones are a great tool for farmers to use on their farms, Transport Canada needs certain requirements to be met:

Special Flight Operating Certificates (SFOC) must be obtained
300-500 ft. altitude
Line of sight must be within 2km
No flying within 7km of an airport

The regulations are in place, but they’re not quite concrete yet.

“The paperwork can be a little daunting because there’s no template to follow,” Patterson said. “At first they make you jump through some hoops but they’re definitely working with us.”

Join the conversation and tell us if you use UAVs on your farm. What benefits have you seen from them? What have been some drawbacks?

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.