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Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids


Type:
Article
Title:
Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids
Creator:
Galli, G.;
Galli, G.
ORCID iD iconhttps://orcid.org/0000-0002-3400-7978
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Sabadin, F.;
Sabadin, F.
ORCID iD iconhttps://orcid.org/0000-0003-2937-1465
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Yassue, R.M.;
Yassue, R.M.
ORCID iD iconhttps://orcid.org/0000-0002-7424-2227
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Galves, C.;
Galves, C.
ORCID iD iconhttps://orcid.org/0000-0002-4694-9946
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Fanelli Carvalho, H.;
Fanelli Carvalho, H.
ORCID iD iconhttps://orcid.org/0000-0003-0745-7583
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Crossa, J.;
ORCID iD icon
Crossa, J.
ORCID iD iconhttps://orcid.org/0000-0001-9429-5855
ScopusScopus ID
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Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.
ORCID iD iconhttps://orcid.org/0000-0002-3973-6547
ScopusScopus ID
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Fritsche-Neto, R.
Fritsche-Neto, R.
ORCID iD iconhttps://orcid.org/0000-0003-4310-0047
URL Profile
http://www.genetica.esalq.usp.br/alogamas/index2.html
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Year:
2022
URI:
https://hdl.handle.net/10883/22042
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
DOI:
10.3389/fpls.2022.845524
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.

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  • Genetic Resources

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Genetic ResourcesInstitutionalMaizeSocioeconomicsSustainable Agrifood SystemsSustainable IntensificationWheat

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