K. Noshita

A comparative study of plant phenotyping workflows based on three-dimensional reconstruction from multi-view images

The paper compares plant phenotyping workflows using 3D reconstruction from multi-view images to estimate leaf area and optimize data collection.

Network feature-based phenotyping of leaf venation robustly reconstructs the latent space

This study develops a network feature-based phenotyping method to quantify leaf venation, achieving 90.6% species classification accuracy and revealing morphospace patterns shaped by functional trade-offs.