The use of plant models in deep learning: an application to leaf counting in rosette plants

Abstract Deep learning presents many opportunities for image-based plant phenotyping. Here we consider the capability of deep convolutional neural networks to perform the leaf counting task. Deep learning techniques typically require large and diverse datasets to learn generalizable models without p...

Full description

Bibliographic Details
Main Authors: Jordan Ubbens, Mikolaj Cieslak, Przemyslaw Prusinkiewicz, Ian Stavness
Format: Article
Language:English
Published: BMC 2018-01-01
Series:Plant Methods
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13007-018-0273-z