Deep Learning Phenotyping Arabidopsis Fruits with QTL Analysis Verification

Kieran Atkins (Producer)
Gina Alessandra Garzon Martinez (Creator)
Andrew Lloyd (Contributor)
John Doonan (Supervisor)
Chuan Lu (Supervisor)

Dataset

Description

This dataset contains over 7,000 images of mature inflorescences, collected from experiments conducted on the Multiparent Advanced Generation Inter-Cross (MAGIC) population. The images were utilised to develop and validate a deep learning-based pipeline for Arabidopsis fruit trait extraction, as well as for validation through QTL analysis.

Date made available	24 Sept 2024
Publisher	Prifysgol Aberystwyth \| Aberystwyth University

Contact

[email protected]

DOI
10.20391/283ce324-6a96-4cc8-8168-51f48354f7cf

Access Dataset

readme.md
File: application/octet-stream, 4.67 KB
Type: Text
Licence: CC BY-SA
at025_v2_fixed_test.json
File: application/octet-stream, 2.67 MB
Type: Text
Licence: CC BY-SA
at025_v2_fixed_train.json
File: application/octet-stream, 9.26 MB
Type: Text
Licence: CC BY-SA

DeepPod: A convolutional Neural Network Based Quantification of Fruit Number in Arabidopsis
Garzon Martinez, G. A., Lu, C., Doonan, J., Hamidinekoo, A., Ghahremani Boozandani, M. & Corke, F., Prifysgol Aberystwyth | Aberystwyth University, 05 Jun 2019
DOI: 10.20391/21154739-f718-457b-96ff-838408f2b696
Dataset

File

Cite this

Atkins, K. (Producer), Garzon Martinez, G. A. (Creator), Lloyd, A. (Contributor), Doonan, J. (Supervisor), Lu, C. (Supervisor) (24 Sept 2024). Deep Learning Phenotyping Arabidopsis Fruits with QTL Analysis Verification. Prifysgol Aberystwyth | Aberystwyth University. readme(.md), at025_v2_fixed_test(.json), at025_v2_fixed_train(.json). 10.20391/283ce324-6a96-4cc8-8168-51f48354f7cf

Deep Learning Phenotyping Arabidopsis Fruits with QTL Analysis Verification

Description

Contact

DOI

Access Dataset

Datasets

DeepPod: A convolutional Neural Network Based Quantification of Fruit Number in Arabidopsis

Cite this