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Growth Data—An automatic solution for seedling growth analysis via RGB-Depth imaging sensors
oleh: Geoffroy Couasnet, Mathis Cordier, Hadhami Garbouge, Félix Mercier, David Pierre, Angelina El Ghaziri, Pejman Rasti, David Rousseau
| Format: | Article |
|---|---|
| Diterbitkan: | Elsevier 2023-12-01 |
Deskripsi
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.