Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids
Type:
Title:
Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids
Creator:
Galli, G.;
Sabadin, F.;
Yassue, R.M.;
Galves, C.;
Fanelli Carvalho, H.;
Crossa, J.;
Montesinos-Lopez, O.A.;
https://orcid.org/0000-0002-3973-6547
Scopus ID
Items in this Repository
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Fritsche-Neto, R.
https://orcid.org/0000-0003-4310-0047
URL Profile
http://www.genetica.esalq.usp.br/alogamas/index2.html Items in this Repository
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Sabadin, F.;
Yassue, R.M.;
Galves, C.;
Fanelli Carvalho, H.;
Crossa, J.;

Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.


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Fritsche-Neto, R.
Fritsche-Neto, R.

http://www.genetica.esalq.usp.br/alogamas/index2.html Items in this Repository
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Year:
2022
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal:
Frontiers in Plant Science
Journal volume:
13
Article number:
845524
Place of Publication:
Switzerland
Publisher:
Frontiers
Citation:
Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids. 2022. 13 DOI: 10.3389/fpls.2022.845524 Frontiers.