OAC’s Dr. Mohsen Yoosefzadeh Najafabadi, who heads the Dry Bean Breeding & Computational Biology Lab, is using AI in a new and innovative approach. His platform, BeanGPT, combines advanced logic and autonomous capabilities with generative AI to help breeders ask more insightful questions, predict outcomes, and find patterns that are difficult to identify without AI assistance.
The University of Guelph professor emeritus in the Department of Animal Biosciences has concentrated his research on nutritional management strategies that enhance early heifer growth, and the delivery of extra nutrients using drinking water, and water and feed combinations during times of physiological needs of the dairy cow and horse.
Read the story in Dairy Herd Management: Water: The Overlooked Nutrient in Dairy Farming
Dr. Milad Eskandari is using artificial intelligence (AI) and hyperspectral imaging to transform soybean breeding, enabling faster, smarter and more precise crop selection. The study, funded in part by the Ontario Agri-Food Innovation Alliance, demonstrated that hyperspectral vegetation indices combined with hybrid AI models – including deep neural networks – can accurately predict soybean yield and biomass.
Could a simple, nutrient-rich feed ingredient hold the key to managing one of the most elusive conditions in equine health? A new research U of G research initiative, led by Dr. Wendy Pearson and funded in part by the Ontario Agri-Food Innovation Alliance, aims to shed light on a little-understood and potentially widespread condition in horses: leaky gut syndrome.
Precision spraying is being reimagined with a smart technology upgrade. Dr. Medhat Moussa, professor in the University of Guelph College of Engineering, together with industry partners, has developed an automated agricultural robotic system to help farmers manage weeds in lima bean crops.
Dr. Biniam Kebede, a newly appointed professor in the Department of Food Science at the Ontario Agricultural College, leads the Food Bioprocessing and Data Science Lab, where ancient fermentation meets cutting-edge digital innovation.
At a presentation given during the Great Ontario Yield Tour event in Osgoode, Ont., Dr. Holly Byker, manager at the Ontario Crops Research Centre in Winchester, emphasized the importance of scouting fields to identify weeds that escaped control throughout the season. Understanding which herbicides were used, and why they may have been less effective, helps farmers make informed decisions for the next planting season.
This September, the Ontario Veterinary College (OVC) at the University of Guelph will welcome its inaugural Northern Cohort—20 students from Northern Ontario embarking on their journey to become veterinarians through the Collaborative Doctor of Veterinary Medicine Program (CDVMP), a groundbreaking partnership between the University of Guelph and Lakehead University.
A University of Guelph researcher is using artificial intelligence (AI) and robotics to improve how crop diseases are detected and managed, making the process faster, more accurate and more efficient for farmers.
Dr. Gurjit Randhawa, a professor in the School of Computer Science within the College of Computational, Mathematical, and Physical Sciences, collaborated with Dr. Aitazaz Faroque of the University of Prince Edward Island to apply machine learning tools to detect crop diseases in potato fields on Canada’s Atlantic coast.
Dr. Ian Tetlow, a researcher in the University of Guelph's Department of Molecular and Cell Biology, spoke at the Canola AgriScience Cluster Research Roundup webinar last month.
The Western Producer reported on Tetlow's work, noting field tests are underway on gene-edited canola that produces bigger stems and increased biomass without impacting oilseed quality.