A Machine-Learning Method to Assess Growth Patterns in Plants of the Family Lemnaceae.

ABSTRACT: Numerous new technologies have been implemented in image analysis methods that help researchers draw scientific conclusions from biological phenomena. Plants of the family Lemnaceae (duckweeds) are the smallest flowering plants in the world, and biometric measurements of single plants and their growth rate are highly challenging. Although the use of software for digital image analysis has changed the way scientists extract phenomenological data (also for studies on duckweeds), the procedure is often not wholly automated and sometimes relies on the intervention of a human operator. Such a constraint can limit the objectivity of the measurements and generally slows down the time required to produce scientific data. Herein lies the need to implement image analysis software with artificial int

SUBMITTER: Romano LE 

PROVIDER: S-EPMC9332063 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature