We present an open-source, low-cost photogrammetry system for 3D plant modeling and phenotyping. The system uses a structure-from-motion approach to reconstruct 3D representations of the plants via point clouds. Using wheat as an example, we demonstrate how various phenotypic traits can be computed easily from the point clouds. These include standard measurements such as plant height and radius, as well as features that would be more cumbersome to measure by hand, such as leaf angles and convex hull. We further demonstrate the utility of the system through the investigation of specific metrics that may yield objective classifications of erectophile versus planophile wheat canopy architectures.
View on arXiv@article{hrzich2025_2504.16840,
title={ A Low-Cost Photogrammetry System for 3D Plant Modeling and Phenotyping },
author={ Joe Hrzich and Michael A. Beck and Christopher P. Bidinosti and Christopher J. Henry and Kalhari Manawasinghe and Karen Tanino },
journal={arXiv preprint arXiv:2504.16840},
year={ 2025 }
}