DoorDash Canada Releases End of Year Food Trends in 2022 Report

Nov 30, 2022

TORONTO, DoorDash Canada unveiled its year-end trend report highlighting the top foods ordered by Canadians in 2022. Using data from January 2022 to November 2022, DoorDash is sharing a snapshot of the best and quirkiest food and ordering trends to come out of this year, regionally and nationally.

"Year-over-year, a trend we continue to see increase is Canadians' love for food," says Shilpa Arora, General Manager, DoorDash Canada. "We've seen incredible support for local restaurants with an increase of takeout and pick up options. With that comes a lot of interesting trends and consumer preferences that we're excited to share with Canadians once again. It might even inspire your next DoorDash order!"

Whether you ordered from your favourite local restaurants, groceries or upped your gifting game for your furry friends, DoorDash is highlighting some of the biggest food moments over the past year.

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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.