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...
Main Authors: | , , , |
---|---|
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 |