Autonomous Agricultural Equipment Evaluation for Broad-Acre Crop Production
Autonomous agriculture is a subset of the broader precision agriculture movement, the practice of utilizing technology and equipment to farm more efficiently. Since 2020, Olds College Centre for Innovation and the Olds College Smart Farm have operated the OMNiPOWER autonomous platform (formerly known as DOT) with three implements (Seedmaster 30 ft Air Seeder, Pattison 120 ft Sprayer, New Leader 90 ft Fertilizer Spreader) as part of a 3.5 year study of the technical, economic, environmental, and social factors associated with operating autonomous farm equipment on the Canadian Prairies. A major project milestone was to compare autonomous equipment operations to conventional equipment, in terms of cost, labor, and efficiencies.
CEU Credits: 0.5
Roy Maki, Olds College Centre for Innovation
Roy Maki shares Olds College’s passion for using technology to improve Canadian Agriculture. Roy attained his experience and knowledge in the agricultural industry through first, being raised on a mixed family farm in SE Saskatchewan and second, being employed in the Agricultrual Research and Testing community where he led or contributed to 100+ agriculturally based projects ranging from spray deposition studies to combine harvester testing, air seeder performance, grain drying, cattle RFID ear tag retention and Anaerobic digestion/methane gas production. Roy holds an B.Sc Agricultural Engineering degree from the University of Saskatchewan and a MSc degree from the University of Alberta specializing in embedded computer systems and controls.
Sofia Bahmutsky, Olds College Centre for Innovation
Sofia Bahmutsky is from Calgary, AB. She holds an M.Sc. in Data Science from the University of British Columbia which she obtained in 2020, and a B.Sc. in Environmental Sciences and Biological Sciences from the University of Calgary earned in 2018. Currently, she focuses her work on data science and analytics in the realm of precision agriculture, climate change, environmental health, and sustainability research fields. She also holds a BIT designation from the Alberta Society of Professional Biologists. Prior to working at OCCI, she completed an internship with Statistics Canada working on COVID-19 prediction modelling for estimation of risk factors and outbreak clusters.