Xavier Draye

This paper develops a method to train deep-learning models for multi-species canopy segmentation using FCNNs and pseudo-labeling, achieving high accuracy with reduced human effort.

The paper introduces MECHA, a mathematical model that predicts root radial permeability by integrating cell-level hydraulic properties and anatomical data from Zea mays roots.