Data Mining Analytics for Agriculture

Data Mining Analytics for Agriculture

DMINE is a grouping of researchers and students that use data mining and machine learning techniques to explore relationships of agriculture and climate. As part of our team work, we provide linux-based applications and analysis development server access, which we are using to create our data mining and machine learning processes.

Data Dashboards

Our Agriculture dashboards are analytic web applications that use data mining and machine learning techniques to explore ag commodity systems.

Data Portal

Our DMINE Data Portal uses Apache SOLR to organize agricultural data used for our modeling and dashboard analyses

API and Libraries

We expose our agricultural commodity models as JSON-accessible web service APIs, as well as via R packages

Who Can Use Agricultural Data Mining?

Farmers and Crop Consultants

Scientists and Managers

Insurance Organizations

Institutions supporting this research

DMINE is developed as part of collaboration with scientists @ the University of Idaho and Oregon State University. DMINE is funded thru the National Oceanic and Atmospheric Association (NOAA), under NOAA grant # NA15OAR4310145
University of Idaho
University of Idaho
National Oceanic and Atmospheric Association
National Oceanic and Atmospheric Association
Oregon State University
Oregon State University
University of Washington
University of Washington