easydcp.tex

This section has been modified and published at the ``Methods in Ecology and Evolution" \citep{feldman_easydcp_2021}

\begin{center}
  \noindent
  \fbox{
    \begin{minipage}{0.95\textwidth}
    
      \begin{center}
        \textbf{EasyDCP: An affordable, high-throughput tool to measure plant phenotypic traits in 3D}
      \end{center}

      \noindent Alexander Feldman$^{1}$, Haozhou Wang$^{1}$, Yuya Fukano$^{1}$, Yoichiro Kato$^{1}$,Seishi Ninomiya$^{1,2}$ , and Wei Guo$^{1,\star}$
    
      \noindent $^{1}$ Institute for Sustainable Agro- Ecosystem Services, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
      
      \noindent $^{2}$ Plant Phenomics Research Center, Nanjing Agricultural University, Nanjing, China
      
      \noindent $^{\star}$ Corresponding authors

      \vspace{5mm}
      \textbf{Abstract}
      \vspace{5mm}

      1. High-throughput 3D phenotyping is a rapidly emerging field that has widespread application for the measurement of individual plants. Despite this, high-throughput plant phenotyping is rarely used in ecological studies due to financial and logistical limitations.

      2. We introduce EasyDCP, a Python package for 3D phenotyping, which uses photogrammetry to automatically reconstruct 3D point clouds of individuals within populations of container plants and output phenotypic trait data. Here we give instructions for the imaging setup and the required hardware, which is minimal and do-it-yourself, and introduce the functionality and workflow of EasyDCP.

      3. We compared the performance of EasyDCP against a high-end commercial laser scanner for the acquisition of plant height and projected leaf area. Both tools had strong correlations with ground truth measurement, and plant height measurements were more accurate using EasyDCP (plant height: EasyDCP $r^2$= 0.96, Laser $r^2$= 0.86; projected leaf area: EasyDCP $r^2$= 0.96, Laser $r^2$= 0.96).

      4. EasyDCP is an open-source software tool to measure phenotypic traits of container plants with high-throughput and low labor and financial costs

      \vspace{5mm}
      \textbf{keywords}: 3D point cloud, container plants, photogrammetry, plant phenotyping

    \end{minipage}
  }
\end{center}