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...

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Detalles Bibliográficos
Autores principales: Yoosefzadeh-Najafabadi, Mohsen, Earl, Hugh J., Tulpan, Dan, Sulik, John, Eskandari, Milad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835636/
https://www.ncbi.nlm.nih.gov/pubmed/33510761
http://dx.doi.org/10.3389/fpls.2020.624273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835636/
https://www.ncbi.nlm.nih.gov/pubmed/33510761
http://dx.doi.org/10.3389/fpls.2020.624273

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