Innovation in Vineyard Disease Management
Brock University AI Detects Grapevine Viruses Early
A new smartphone-based AI model identifies grapevine infections before visible symptoms emerge, aiding farmers.
A person uses a smartphone to scan a green grapevine leaf in a sunny vineyard, demonstrating AI-powered virus detection technology.
Photo: Avantgarde News
Associate Professor Yifeng Li at Brock University has developed a new artificial intelligence model to protect vineyards. The technology uses smartphone images to detect grapevine viruses at very early stages [1]. This digital tool allows farmers to identify infections even before visible symptoms appear on the plants [1].
Li shared the research during the CCOVI Knowledge Transfer Day [1]. By catching diseases in their infancy, growers can manage their crops more effectively and potentially reduce significant financial losses [1]. The model represents a practical application of machine learning to address traditional agricultural challenges [1].
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The Brock News
AI virus detection among research shared at CCOVI Knowledge Transfer Day
Associate Professor Yifeng Li at Brock University has created an AI model that uses smartphone images to detect grapevine viruses at very early stages, helping farmers identify infections before symptoms appear.
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Avantgarde News Desk covers innovation in vineyard disease management and editorial analysis for Avantgarde News.