Prediction of harvest-related traits in barley using high-throughput phenotyping data and machine learning
Hans Tietze, Lamis Osama Anwar Abdelhakim, Barbora Pleskačová, Ayelet Kurtz-Sohn, Eyal Fridman, Zoran Nikoloski, Klará Panzarová
This study uses high-throughput phenotyping and machine learning to predict harvest-related traits in barley under drought conditions, achieving high accuracy with early and late-stage predictors.
Frontiers in Plant Science · Oct 14, 2025Peer-reviewedPlant Biology