Big data and machine learning to map and manage the causes of spatial variability in crop yield
Posted on 24.09.2024 | Last Modified 24.09.2024
Lead Researcher (PI): Steven Shirtliffe
Institution:
University of Saskatchewan
Total WGRF Funding:
$557,680
Co-Funders:
None
Start Date:
2024
Project Length:
4 Years
Objectives:
1. To map the magnitude and determine the variables driving within field variability in crop yield in western Canada.
2. Determine and map the predictable within field spatial yield variability for every crop field in western Canada.