DMINE Labs is the University of Idaho’s data mining research team, where we are developing data mining transformations + machine learning models that predict the impact of climate change on agricultural systems. DMINE.io is our research development server.
The University of Idaho’s DMINE Labs is a grouping of researchers and students that use data mining and machine learning techniques to explore relationships of climate to agricultural systems. As part of our team work, we are developing data dashboards and associated APIs, which we are using to instantiate our data mining and machine learning processes.
Below is an example animation for agricultural commodity loss from 1989 – 21015 for Wheat claims due to drought. Our Agricultural Dashboard provides more information related to the subject of agricultural commodity loss and commodity outputs in the future.
Example WHEAT Commodity Loss Animation, 1989 2015
This work is developed as part of the Pacific Northwest Climate Impacts Research Consortium (CIRC), a climate-science-to-climate-action team funded by the National Oceanic and Atmospheric Administration (NOAA). A mix of scientists from disciplines as varied as atmospheric and social science, CIRC is a proud member of NOAA’s Regional Integrated Sciences and Assessments (RISA) program, a national leader in climate science and adaptation.