Turning Agronomic Data Into Machine Knowledge

Turning Agronomic Data into Machine Knowledge

This research theme aims to build on the available data sets which are used by agronomists through use of ontology approaches and knowledge maps so as to facilitate novel machine learning capabilities for interpreting and working with diverse data sets.