Acquire and harmonize legacy soil data in the Canadian Prairies. Establish the Canadian Prairies Soil Spectral Library with soil laboratory data, spectral information, and metadata. Develop prediction models using machine learning for low-cost and efficient assessment of soil properties.
Lead Researcher (PI): Mervin St. Luce
Institution: Agriculture & Agri-Food Canada
Total WGRF Funding: $300,000
Co-Funders: Saskatchewan Wheat Development Commission
Start Date: 2022
Project Length: 4 Years