Growth Data—An automatic solution for seedling growth analysis via RGB-Depth imaging sensors

We describe Growth Data, a software for seedling growth analysis from time lapse acquired in top view via RGB-Depth low-cost sensors. The software is suited for the observation of young plants during their early developmental stages. Growth Data allows the discrete detection of the dicotyledon seedl...

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Bibliographic Details
Published in:SoftwareX 2023-12, Vol.24, p.101572, Article 101572
Main Authors: Couasnet, Geoffroy, Cordier, Mathis, Garbouge, Hadhami, Mercier, Félix, Pierre, David, Ghaziri, Angelina El, Rasti, Pejman, Rousseau, David
Format: Article
Language:English
Subjects:
Biotechnology
Life Sciences
Plant growth
Quantitative Methods
RGB Depth
Temporal analysis
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Summary:We describe Growth Data, a software for seedling growth analysis from time lapse acquired in top view via RGB-Depth low-cost sensors. The software is suited for the observation of young plants during their early developmental stages. Growth Data allows the discrete detection of the dicotyledon seedling stages and produces continuous growth curves of any type of seedlings. As a companion paper to recent articles providing the methodological innovation behind these algorithms, this article describes the use of the GUI interface provided for high-throughput analysis of general interest for the plant imaging community. Code metadata Current code version v1.0 Permanent link to code/repository used for this code version https://github.com/ElsevierSoftwareX/SOFTX-D-23-00495 Code Ocean compute capsule None Legal Code License GNU GPL Code versioning system used None Software code languages, tools, and services used Docker, Python v3.7 Compilation requirements, operating environments & dependencies Ubuntu x64, Windows 7, 10, 11 x64 If available Link to developer documentation/manual github documentation Support email for questions
ISSN:2352-7110
2352-7110
DOI:10.1016/j.softx.2023.101572