Dr Anders Eriksson applies ML and deep-learning models to measure a range of plant traits pertinent to crop management and decision making.

He also helps breeders to improve plant performance through efficient computer vision techniques based on DL applied to high-resolution RGB imagery.

Project members

Associate Professor Anders Eriksson

ARC Future Fellow
School of Information Technology and Electrical Engineering