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Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean
Recent substantial advances in high-throughput field phenotyping have provided plant breeders with affordable and efficient tools for evaluating a large number of genotypes for important agronomic traits at early growth stages. Nevertheless, the implementation of large datasets generated by high-thr...
Tallennettuna:
| Julkaisussa: | Front Plant Sci |
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| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Frontiers Media S.A.
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7835636/ https://ncbi.nlm.nih.gov/pubmed/33510761 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpls.2020.624273 |
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