ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture.

Nicolás Gaggion Federico D ArielVladimir DaricÉric LambertSimon LegendreThomas Roulé Alejandra Camoirano Diego H Milone Martin D Crespi Thomas Blein Enzo Ferrante

Published in: GigaScience (2022)

Our work shows that the combination of machine intelligence methods and a 3D-printed device expands the possibilities of root high-throughput phenotyping for genetics and natural variation studies, as well as the screening of clock-related mutants, revealing novel root traits.

Keyphrases

high throughput
single cell
deep learning
genome wide
convolutional neural network
gene expression
machine learning
plant growth