Synchrotron-based X-ray imaging combined with deep learning to determine Fusarium infection and deoxynivalenol in cereals

Posted on 14.02.2022 | Last Modified 14.02.2022
Lead Researcher (PI): Randy Kutcher
Institution: University of Saskatchewan
Total WGRF Funding: $245,560
Co-Funders: Saskatchewan Wheat Development Commission
Start Date: 2021
Project Length: 3 Years

Obtain images and determine elemental changes in grain after Fusarium infection through synchrotron based x-ray technology. Determine Fusarium damaged kernels (FDK), fungal biomass (FB) and DON in infected grain by conventional method. Develop a framework to determine FDK and DON in cereals by combining synchrotron based technology and deep learning methods.