TY - JOUR
T1 - EasyDCP
T2 - An affordable, high-throughput tool to measure plant phenotypic traits in 3D
AU - Feldman, Alexander
AU - Wang, Haozhou
AU - Fukano, Yuya
AU - Kato, Yoichiro
AU - Ninomiya, Seishi
AU - Guo, Wei
N1 - Funding Information:
This study was partially funded by the JST CREST Program (grant numbers JPMJCR1512, JPMJCR1601 and JPMJCR1602), SICORP Program JPMJSC16H2, and JSPS KAKENHI grant number 18K14464 and 18KT0087. The authors declare that we have no conflicts of interest.
Publisher Copyright:
© 2021 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society
PY - 2021/9
Y1 - 2021/9
N2 - High-throughput 3D phenotyping is a rapidly emerging field that has widespread application for measurement of individual plants. Despite this, high-throughput plant phenotyping is rarely used in ecological studies due to financial and logistical limitations. 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. 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 r2 = 0.96, Laser r2 = 0.86; projected leaf area: EasyDCP r2 = 0.96, Laser r2 = 0.96). EasyDCP is an open-source software tool to measure phenotypic traits of container plants with high-throughput and low labour and financial costs.
AB - High-throughput 3D phenotyping is a rapidly emerging field that has widespread application for measurement of individual plants. Despite this, high-throughput plant phenotyping is rarely used in ecological studies due to financial and logistical limitations. 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. 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 r2 = 0.96, Laser r2 = 0.86; projected leaf area: EasyDCP r2 = 0.96, Laser r2 = 0.96). EasyDCP is an open-source software tool to measure phenotypic traits of container plants with high-throughput and low labour and financial costs.
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U2 - 10.1111/2041-210X.13645
DO - 10.1111/2041-210X.13645
M3 - Article
AN - SCOPUS:85107950396
SN - 2041-210X
VL - 12
SP - 1679
EP - 1686
JO - Methods in Ecology and Evolution
JF - Methods in Ecology and Evolution
IS - 9
ER -