Tony Pridmore

Root metaxylem area influences drought tolerance and transpiration in pearl millet in a soil texture dependent manner

The paper examines how root metaxylem area affects drought tolerance and transpiration in pearl millet, showing soil texture-dependent water use strategies.

Three Dimensional Root CT Segmentation using Multi-Resolution Encoder-Decoder Networks

This paper develops a multi-resolution encoder-decoder network for 3D root segmentation in CT images, achieving higher accuracy than existing methods.

RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures

RootNav 2.0 uses deep learning to automatically extract root architectures from plant images, achieving comparable accuracy to semi-automatic methods with significantly increased speed.

Deep Learning for Multi-task Plant Phenotyping

The paper introduces a dataset and a deep learning model for accurate wheat spike and spikelet localization and counting in plant phenotyping.