It’s a lengthy and involved process to identify herbicide-resistant weeds that pose a steadily growing threat to farm fields. With almost $500,000 in funding provided by Results Driven Agriculture Research, a project is now underway at the Agriculture and Agri-Food Canada Lethbridge Research and Development Centre to simplify the procedure with the creation of rapid tests.

Nieuwenhuis describes the by-product feeds market as opaque. FeedXchange gives farmers, the ability to see what others are paying and to view historical price trends that can significantly influence purchase decisions and allows them to manage expenses.

As the agricultural landscape undergoes a significant shift, Olds College of Agriculture & Technology stays attuned to the industry’s emerging needs and trends such as the critical challenge posed by the current labour shortage. We perceive this challenge as an opportunity to sculpt the future of agriculture through progressive education and state-of-the-art technology.

Each year, crop diseases diminish yields in Western Canada and around the globe. To address such perennial threats, Australian company BioScout created its signature product, an agricultural disease detection, spore identification and quantification system. Its purpose is to help farmers manage crop disease by identifying spores prior to the appearance of symptoms on the plants. BioScout has launched active pilot projects around the world to test the unit’s ability to detect diseases in crops such as fruits, vegetables, oilseeds, legumes and cereals.

Whether it’s pernicious pests, an unpredictable climate or increasing costs, threats to cereal crops constantly evolve. To build and maintain a sustainable system for cereal production in Canada requires the ability to adapt. There are few better examples of adaptability in agriculture than the efforts made by plant breeders to assist farmers. 

This past growing season, the Olds College Centre for Innovation (OCCI) research team installed LI-COR chambers on one of the institution’s Smart Farm fields to monitor soil emissions of potent greenhouse gas nitrous oxide (N2O). Advanced technology that produces high volume results quickly, the solar powered system consists of several automated gas chambers connected by tubing to two solar powered trace gas analyzers housed in a small shed.

Today, AI and its corollary of machine learning have recently become buzzwords everywhere, including agriculture. The implementation of both requires data. It is readily available but, in the area of harvest data, sorely lacks veracity.

The Canadian Food Inspection Agency (CFIA) recently approved gene editing for use in breeding new crop varieties. Plant breeders will now be able to apply the technology to their work. Gene editing has the potential to quickly develop new varieties with greater accuracy in targeting traits such as drought and disease resistance. The agronomic and trade implications are promising for farmers.

For developers of next-generation agricultural equipment and systems, the gap between drawing board and commercialization can be a lonely wilderness. To support the efforts of such innovators in the agri-food and technology sectors, the Canadian Agri-Food Automation and Intelligence Network (CAAIN) was formed in 2019 with a $49.5 million grant from Innovation, Science and Economic Development Canada’s Strategic Innovation Fund.

As part of a two-year project, the University of Alberta is building the Database on Alberta Soil Health (DASH). The goal is to create an online resource that marries soil data with associated agronomic and climate data to generate recommendations for use by farmers, soil scientists and agronomists.