Deep phenotyping: deep learning for temporal phenotype/genotype classification

Deep phenotyping: deep learning for temporal phenotype/genotype classification

Abstract Background High resolution and high throughput genotype to phenotype studies in plants are underway to accelerate breeding of climate ready crops. In the recent years, deep learning techniques and in particular Convolutional Neural Networks (CNNs), Recurrent Neural Networks and Long-Short T...

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Bibliographic Details
Main Authors: Sarah Taghavi Namin, Mohammad Esmaeilzadeh, Mohammad Najafi, Tim B. Brown, Justin O. Borevitz
Format: Article
Language:English
Published: BMC 2018-08-01
Series:Plant Methods
Subjects:
Deep learning
Temporal information
Deep features
Accession classification
Online Access:http://link.springer.com/article/10.1186/s13007-018-0333-4

Internet

http://link.springer.com/article/10.1186/s13007-018-0333-4

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