L. Cabrera-Bosquet

This paper introduces an automated method to track individual grapevine berry development in time-lapse images, revealing asynchronous ripening dynamics with high accuracy.

This study links tillering rate and shoot growth sensitivity to water deficit in wheat, showing their role in genetic variability of leaf expansion under drought.

PhenoTrack3D tracks maize organ development over time using 3D+t reconstruction from images, validated on a large dataset with high accuracy.

The paper identifies genetic links between transpiration efficiency and restriction in African rice, finding heritable traits that could improve water use strategies in breeding.

Phenomenal provides an open-source library for automated 3D shoot architecture reconstruction and analysis from plant images across species and datasets.