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Using Deep Learning as an Analysis and Decision-support Tool to Assess Biodiversity Gain from Habitat Restoration in the Agri-food Sector

Improving farm conservation and production practices are crucial to meeting the food demands of a growing population. To determine best practices for habitat restoration this project is developing a reliable AI system for insect identification. The AI system will be field-tested on insect data gathered from southern Ontario to determine if AI systems can identify similar levels.


Principal investigator: John Fryxell