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Machine Learning Approach for Prescriptive Plant Breeding
We explored the capability of fusing high dimensional phenotypic trait (phenomic) data with a machine learning (ML) approach to provide plant breeders the tools to do both in-season seed yield (SY) prediction and prescriptive cultivar development for targeted agro-management practices (e.g., row spa...
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| Yayımlandı: | Sci Rep |
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| Asıl Yazarlar: | , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Publishing Group UK
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6868245/ https://ncbi.nlm.nih.gov/pubmed/31748577 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-53451-4 |
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