Analysing the phenotype development of soybean plants using low-cost 3D reconstruction.

ABSTRACT: With the development of digital agriculture, 3D reconstruction technology has been widely used to analyse crop phenotypes. To date, most research on 3D reconstruction of field crops has been limited to analysis of population characteristics. Therefore, in this study, we propose a method based on low-cost 3D reconstruction technology to analyse the phenotype development during the whole growth period. Based on the phenotypic parameters extracted from the 3D reconstruction model, we identified the "phenotypic fingerprint" of the relevant phenotypes throughout the whole growth period of soybean plants and completed analysis of the plant growth patterns using a logistic growth model. The phenotypic fingerprint showed that, before the R3 period, the growth of the five varieties was similar. Aft

SUBMITTER: Zhu R 

PROVIDER: S-EPMC7184763 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature