Fast estimation of plant growth dynamics using deep neural networks.

ABSTRACT:

Background

In recent years, there has been an increase of interest in plant behaviour as represented by growth-driven responses. These are generally classified into nastic (internally driven) and tropic (environmentally driven) movements. Nastic movements include circumnutations, a circular movement of plant organs commonly associated with search and exploration, while tropisms refer to the directed growth of plant organs toward or away from environmental stimuli, such as light and gravity. Tracking these movements is therefore fundamental for the study of plant behaviour. Convolutional neural networks, as used for human and animal pose estimation, offer an interesting avenue for plant tracking. Here we adopted the Social LEAP Estimates Animal Poses (SLEAP) framework for plant trac

SUBMITTER: Gall GEC 

PROVIDER: S-EPMC8858456 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature