The next great leap in digital agriculture, the adoption of intelligent technologies is a complex work in progress. Artificial intelligence (AI) and machine learning (ML) are engineered to produce agronomic insights farmers can act upon from a vast flow of information that includes precision ag field data, weather, soil and yield data as well as drone and satellite imagery.
The associate vice-president of applied research at Olds College, Joy Agnew co-leads the development of the school’s Smart Ag Ecosystem, a collection of programs and resources that includes its Smart Farm. She describes the school’s farm program as a “one-stop-shop innovation ecosystem.” While it is comprised of academic programs that provide students with practical, hands-on experience at the cutting edge of contemporary farming, the Smart Ag Ecosystem is also a vibrant research department. In recognition of her industry research and leadership of the college’s programming, Agnew was recently recognized as a Top 50 Innovator in Canadian Agriculture by Canadian Western Agribition.
Introducing students to new technology has been part of the Olds College mandate since its inception in 1913. On its Smart Farm, launched in 2018, students continue to utilize the latest in operational farm technology. Given its fully digital infrastructure, the facility is a logical place for students and ag tech startups to collaborate and prove the value of new agricultural technology to farmers.