Arabidopsis images for machine learning TR0107 - Phenotyping imaging data

Images and data from arabidopsis phenotyping studies performed by the APPF ANU Plant Phenomics Group for Tim Brown ending 2017-09-20: Arabidospsis trials for Sarah Project PR0103 - Arabidopsis images for machine learning. Project ID: PR0103 Chamber(s)/Location: GC37
Type
collection
Title
Arabidopsis images for machine learning TR0107 - Phenotyping imaging data
Brief Title
Arabidopsis TR0107
Alternate Title
Arabidopsis TR0107
Collection Type
Dataset
Access Privileges
Australian Plant Phenomics Facility (APPF) ANU Node
DOI - Digital Object Identifier
10.25911/kgrq-hq61
Metadata Language
English
Data Language
English
Full Description
Images and data from arabidopsis phenotyping studies performed by the APPF ANU Plant Phenomics Group for Tim Brown ending 2017-09-20: Arabidospsis trials for Sarah Project PR0103 - Arabidopsis images for machine learning. Project ID: PR0103 Chamber(s)/Location: GC37
Contact Email
tim.brown@anu.edu.au; justin.borevitz@anu.edu.au
Contact Address
Lead for Digital Innovation, Australian Plant Phenomics Facility ANU College of Science The Australian National University Canberra ACT 2600 Australia
Principal Investigator
Justin Borevitz
Supervisors
Timothy Brown
Fields of Research
3004 - Crop and pasture production; 3108 - Plant biology
Socio-Economic Objective
280101 - Expanding knowledge in the agricultural, food and veterinary sciences
Keywords
plant phenotyping; Australian Plant Phenomics Facility; Plant Phenomics Group
Type of Research Activity
Strategic basic research
Year of data publication
2018
Creator(s) for Citation
Brown
Timothy
Borevitz
Justin
Publisher for Citation
The Australian National University Data Commons
Publications
https://doi.org/10.1186/s13007-018-0333-4
Taghavi Namin, S., Esmaeilzadeh, M., Najafi, M. et al. Deep phenotyping: deep learning for temporal phenotype/genotype classification. Plant Methods 14, 66 (2018).
Deep phenotyping: deep learning for temporal phenotype/genotype classification
doi
Access Rights
Open Access allowed. For access to the linked datasets, please contact Dr Timothy Brown - Lead for Digital Innovation, Australian Plant Phenomics Facility tim.brown@anu.edu.au
Access Rights Type
Open
Rights held in and over the data
http://creativecommons.org/licenses/by-nc/4.0/
Licence Type
CC-BY-NC - Attribution-NonCommercial (Version 4.0)
Data Location
The datasets are accessible through APPFs local storage
Retention Period
Indefinitely
Data Size
0.315 TB
Data Management Plan
No

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Identifier: anudc:6213

Status: Published
Published to:
  • Australian National University
  • Australian National Data Service
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