National Workforce Strategic Plan for Agriculture and Food and Beverage Manufacturing - Interim Report

Jun 06, 2023

The Canadian Agricultural Human Resource Council (CAHRC) and its partners the Canadian Federation of Agriculture (CFA) and Food and Beverage Canada (FBC-ABC) are pleased to share the interim report on the development of an industry-led National Workforce Strategic Framework for Agriculture and Food & Beverage Manufacturing.

Started in 2021 with funding from the Government of Canada’s Future Skills Centre, the National Workforce Strategic Framework will set out a comprehensive plan for Canada’s agriculture and food and beverage manufacturing sectors to achieve workforce stability by 2030. The Strategic Framework will identify the root causes of industry’s labour shortages and skills gaps, identify concrete actions to address these shortfalls, and set meaningful goals and timelines to measure our progress and success.

The Strategic Framework seeks to complement the efforts of the Government of Canada, including the development of a National Agricultural Labour Strategy by the Honourable Marie-Claude Bibeau, Minister of Agriculture and Agri-food.

To date, over 100 stakeholders have actively participated in this critical initiative, including primary producers, food and beverage manufacturers, educational institutions, producer groups, industry associations, and government officials. Together, they are undertaking work around five key themes:

Perception and Awareness of Industry and Careers
People and Workplace Culture
Immigration and Foreign Workers
Skill Development
Automation and Technology

Source : Cahrc.ccrha

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.